The full text of this article hosted at iucr.org is unavailable due to technical difficulties.

Free Access

Novel methods improve prediction of species’ distributions from occurrence data

First published: 29 March 2006
Cited by: 3559
J. Elith (j.elith@unimelb.edu.au), School of Botany, Univ. of Melbourne, Parkville, Victoria, 3010 Australia. – C. H.Graham, Dept of Ecology and Evolution, 650 Life Sciences Building, Stony Brook Univ., NY 11794, USA. – R. P. Anderson, City College of the City Univ. of New York, NY, USA. – M. Dudík, Princeton Univ., Princeton, NJ, USA. – S. Ferrier, Dept of Environment and Conservation Armidale, NSW, Australia. – A. Guisan, Univ. of Lausanne, Switzerland. – R. J. Hijmans, The Univ. of California, Berkeley, CA, USA. – F. Huettmann, Univ. of Alaska Fairbanks, AK, USA. – J. R. Leathwick, NIWA, Hamilton, NZ. – A. Lehmann, Suisse Centre for Faunal Cartography (CSCF), Neuchâtel, Switzerland. – J. Li, CSIRO Atherton, Queensland, Australia. – L. Lohmann, Univ.de São Paulo, Brasil. – B. A. Loiselle, Univ. of Missouri, St. Louis, USA. – G. Manion, Dept of Environment and Conservation, NSW, Australia. – C. Moritz, The Univ. of California, Berkeley, USA. – M. Nakamura, Centro de Invest. en Matemáticas (CIMAT), México. – Y. Nakazawa, The Univ. of Kansas, Lawrence, KS, USA. – J. McC. Overton, Landcare Research, Hamilton, NZ. – A. T. Peterson, The Univ. of Kansas, Lawrence, KS, USA. – S. J. Phillips, AT&T Labs‐Research, Florham Park, NJ, USA. – K. S. Richardson, McGill Univ., QC, Canada. – R. Scachetti‐Pereira, Centro de Referência em Informação Ambiental, Brazil. – R. E. Schapire, Princeton Univ., Princeton, NJ, USA. – J. Soberón, The Univ. of Kansas, Lawrence, KS, USA. – S. E.Williams, James Cook Univ., Queensland, Australia. – M. S. Wisz, National Environmental Research Inst., Denmark. – N. E. Zimmermann, Swiss Federal Research Inst. WSL, Birmensdorf, Switzerland.

Abstract

Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence‐only data to fit models, and independent presence‐absence data to evaluate the predictions. Along with well‐established modelling methods such as generalised additive models and GARP and BIOCLIM, we explored methods that either have been developed recently or have rarely been applied to modelling species’ distributions. These include machine‐learning methods and community models, both of which have features that may make them particularly well suited to noisy or sparse information, as is typical of species’ occurrence data. Presence‐only data were effective for modelling species’ distributions for many species and regions. The novel methods consistently outperformed more established methods. The results of our analysis are promising for the use of data from museums and herbaria, especially as methods suited to the noise inherent in such data improve.

Detailed knowledge of species’ ecological and geographic distributions is fundamental for conservation planning and forecasting (Ferrier 2002, Funk and Richardson 2002, Rushton et al. 2004), and for understanding ecological and evolutionary determinants of spatial patterns of biodiversity (Rosenzweig 1995, Brown and Lomolino 1998, Ricklefs 2004, Graham et al. 2006). However, occurrence data for the vast majority of species are sparse, resulting in information about species distributions that is inadequate for many applications. Species distribution models attempt to provide detailed predictions of distributions by relating presence or abundance of species to environmental predictors. As such, distribution models have provided researchers with an innovative tool to explore diverse questions in ecology, evolution, and conservation. For example, they have been used to study relationships between environmental parameters and species richness (Mac Nally and Fleishman 2004), characteristics and spatial configuration of habitats that allow persistence of species in landscapes (Araújo and Williams 2000, Ferrier et al. 2002a, Scotts and Drielsma 2003), invasive potential of non‐native species (Peterson 2003, Goolsby 2004), species’ distributions in past (Hugall et al. 2002, Peterson et al. 2004) or future climates (Bakkenes et al. 2002, Skov and Svenning 2004, Araújo et al. 2004, Thomas et al. 2004, Thuiller et al. 2005), and ecological and geographic differentiation of the distributions of closely‐related species (Cicero 2004, Graham et al. 2004b).

Most research on development of distribution modelling techniques has focused on creating models using presence/absence or abundance data, where regions of interest have been sampled systematically (Austin and Cunningham 1981, Hirzel and Guisan 2002, Cawsey et al. 2002). However, occurrence data for most species have been recorded without planned sampling schemes, and the great majority of these data consist of presence‐only records from museum or herbarium collections that are increasingly accessible electronically (Graham et al. 2004a, Huettmann 2005, Soberón and Peterson 2005). The main problem with such occurrence data is that the intent and methods of collecting are rarely known, so that absences cannot be inferred with certainty. These data also have errors and biases associated with them, reflecting the frequently haphazard manner in which samples were accumulated (Hijmans et al. 2000, Reese et al. 2005). Thus, the considerable potential of occurrence data for analysis of biodiversity patterns, will only be realised if we can use them critically. Simultaneous with increasing accessibility of species’ occurrence data, environmental data layers of high spatial resolution, such as those derived from satellite images (Turner et al. 2003) and through sophisticated interpolation of climate data (Thornton et al. 1997, Hijmans et al. 2005), are now much more abundant and available. In parallel, development of methods for efficient exploration and summary of patterns in large databases has accelerated in other disciplines (Hastie et al. 2001), but only a few of these have been applied in ecological studies. Given the widespread use of distribution modelling, and the synergy of advances in data availability and modelling methods, a clear need exists for broad synthetic analyses of the predictive ability and accuracy of species’ distribution modelling methods for presence‐only data.

There is now a plethora of methods for modelling species’ distributions that vary in how they model the distribution of the response, select relevant predictor variables, define fitted functions for each variable, weight variable contributions, allow for interactions, and predict geographic patterns of occurrence (Guisan and Zimmerman 2000, Burgman et al. 2005, Wintle and Bardos in press). Initial attempts to analyze presence‐only data used methods developed specifically for that purpose, based either on calculations of envelopes or distance‐based measures (Gómez Pompa and Nevling 1970, Rapoport 1982, Silverman 1986, Busby 1991, Walker and Cocks 1991, Carpenter et al. 1993). Attention then turned to adapting presence‐absence methods (i.e. those that model a binomial response) to model presence‐only data, using samples of the background environment (random points throughout the study area), or of areas designated as “non‐use” or “pseudo‐absence” (Stockwell and Peters 1999, Boyce et al. 2002, Ferrier et al. 2002a, Zaniewski et al. 2002, Keating and Cherry 2004, Pearce and Boyce in press).

More recently several novel modelling methods have been proposed that have foundations in ecological and/or statistical research, that may perform well for distribution modelling with noisy data, such as presence‐only records. Some of these methods use information on the presences of other members of the community to supplement information for the species being modelled. Community methods are promising, especially for rare species, because the additional information carried by the wider community may help to inform the modelled relationships. Further, extensive research in the machine‐learning and statistical disciplines has produced methods that are able to capture complex responses, even with noisy input data. These have received very little exposure in distribution modelling, though the work that has been done is promising (Phillips et al. 2006, Leathwick et al. in press).

Regardless of the modelling method chosen, a major problem in evaluation is that species’ distributions are not known exactly. In many instances evaluation focuses on predictive performance, some known occurrences are withheld from model development (either by splitting the data set, k‐fold partitioning, or bootstrapping; Fielding and Bell 1997, Hastie et al. 2001, Araújo et al. 2005), and accuracy is assessed based on how well models predict the withheld data (Boyce et al. 2002, Hirzel et al. in press). In presence‐only modelling, such withheld data are unlikely to provide a general test of model accuracy in predicting species’ distributions, because the occurrence records often have biases in both geographic and environmental space (Bojórquez et al. 1995, Hijmans et al. 2000, Soberon et al. 2000, Kadmon et al. 2004) and such biases will persist in common resampling designs. More importantly, withheld data are presence‐only, which limits the options for, and power of, statistical evaluations of predictive performance. One step towards improving evaluation of model performance in predicting distributions of species is to use independent, well structured presence‐absence datasets for validation. Such datasets have rarely been used to evaluate predictions from presence‐only models (but see Ferrier and Watson (1997) for an earlier example of this type of evaluation). Further possibilities include modelling artificial data and assessing whether responses are correctly predicted (Austin et al. 1995), or modelling with both presence‐only and presence‐absence data and comparing the fitted functions (Ferrier and Watson 1997).

The primary aim of this research was to evaluate the capacity of presence‐only occurrence data for predicting species’ distributions. We chose to focus on evaluation at independent sites, using the performance of different modelling methods averaged over many species. Detailed evaluation of the ecological realism of all models was not practical. We tested the performance of a representative selection of modelling methods for presence‐only data, using data sets typical of the types of species and environmental data that are commonly employed. This exercise also provides insights into whether and how these increasingly available data can be used for improving knowledge of species’ ranges. We compiled data only for regions in which independent presence‐absence data were available for evaluation and invited participation from researchers experienced in a range of distribution modelling methods, including several novel methods that have not been used widely in ecology. Our model comparison is very broad, applying 16 methods to modelling the distributions of 226 species from 6 regions around the globe.

Materials and methods

Data for modelling and evaluation

Our intention in selecting data was to collect representative examples of the types of data and species that are commonly used in species distribution modelling. Species locality data were assembled for six regions of the world (Tables 1 and 2): birds and plants of the Australian Wet Tropics (AWT); birds of Ontario, Canada (CAN); plants, birds, mammals and reptiles of north‐east New South Wales, Australia (NSW), plants of New Zealand (NZ), plants from five countries (see footnote, Table 1) of South America (SA), and plants of Switzerland (SWI). The individual data sets had up to 54 species with a range of geographic extents and rarities. For each region, two sets of data were available: 1) presence‐only (PO) data, from unplanned surveys or incidental records, including those from museums and herbaria; and 2) independent presence‐absence (PA) data from planned surveys, with accurate location records. The independence of these two data sets for each region is an important underlying assumption of this study, and the totally different data collection methods for the two sets give us a high level of confidence that this assumption is well founded. Table 2 summarises the key characteristics of the data. One feature is that the accuracy and sample size of the modelling data vary between regions: mostly they were small‐to‐moderate (101–102 occurrences), but were larger (101–103) for SWI. Evaluation (PA) sets were larger for CAN, NZ and SWI than the other regions. Further, the PA data sets for AWT, NSW, NZ and SWI all provide better environmental and geographic coverage than those for CAN and SA.

Table 1. Summary of data available for modelling and evaluation.
Region Species records Predictor variables
Groups (number species) PO1: number (mean) PA1: number sites; mean no. presence Broad class Cell size (m) and extent (km2×106)
Australian Wet Tropics (AWT) birds (20) 155 340; 97 10 climate, 80×80 m
plants (20) 35 102; 30 3 topography 0.024

Ontario, Canada (CAN) birds (20) 255 14571; 1282 6 climate, 3 topography, 1 distance, 1 vegetation 1×1 km 1.088

New South Wales, Australia (NSW) birds (10) 162 mean3 920; 74 5 climate, 2 soil, 100×100 m
plants (29) 22 mean3 1333; 214 1 site moisture, 0.089
mammals (7) 27 570; 76 3 topography,
reptiles (8) 84 1008; 62 1 disturbance,
1 vegetation

New Zealand (NZ) plants (52) 18–211 19120; 1801 8 climate, 100×100 m
2 substrate, 0.265
3 topography

South America2 (SA) plants (30) 17–216 152; 12 11 climate 1×1 km
14.654

Switzerland (SWI) plants (30) 36–5822 10013; 810 7 climate, 100×100 m
2 substrate, 0.041
2 topography,
2 vegetation
  • 1 PO is the presence‐only modelling data and PA, the presence‐absence evaluation data.
  • 2 Five countries: continental Brazil, Ecuador, Colombia, Bolivia, and Peru.
  • 3 Means of subsets of sites appropriate to different groups of plants and birds (Table 2).
Table 2. Species data.
Region Species information PO data PA data
AWT 20 birds and 20 plants. Birds from incidental surveys (accurate locations1); plants from herbarium records within last 40 yr (±3 km) #presence records: Birds mean 155, range 32–265; 78% occupied cells have >1 species. Plants: mean 35, range 9–74; 37% occupied cells have >1 species. Birds from planned field surveys at 340 sites (accurate locations); plants from planned surveys over 20 yr at 102 sites (accurate locations) #presence records: birds mean 97, range 32–265; plants: mean 30, range 13–214.
CAN 20 birds. Ontario Nest Records, Royal Ontario Museum (ROM). Temporal Span 1870–2002 (mostly 1960–2001). Coordinates derived from map by ROM; some locations with GPS. #presence records: mean: 255, range: 16–749; 26% occupied cells have >1 species. Breeding Bird Atlas (BBA) for Ontario. 14571 sites #presence records: mean: 1282, range: 24–4512.
NSW 54 species: 7 bats (ba); 8 diurnal birds (db); 2 nocturnal birds (nb); 8 open‐forest trees (ot); 8 open‐forest understorey plants (ou); 7 rainforest trees (rt); 6 rainforest understorey plants (ru); 8 small reptiles (sr). Fauna incidental records from Atlas of NSW Wildlife; flora from herbaria. Across all groups, #presence records: mean: 62, range: 2–426; 21% occupied cells have >1 species. From designed surveys (Ferrier and Watson 1996, Pearce et al. 2001). Accurate locations. #of sites: ba 570, db 702, nb 1137, ot 2076, ou 1309, rt 1036, ru 909, sr 1008. Across all groups, #presence records: mean: 148, range: 4–693.
NZ 52 plants, mostly trees and shrubs. Herbarium data. #presence records: mean: 59, range 18–211; 16% occupied cells have >1 species. Designed surveys; 19?120 sites. Accurate locations. #presence records: mean: 1801, range 20–10?581.
SA 30 plants, family Bignoniaceae. Herbarium data. #presence records: mean: 74, range 17–216; 36% occupied cells have >1 species. Al Gentry's data (Missouri Botanie Gardens); 152 sites. #presence records: mean: 12, range 7–29.
SWI 30 trees. Forest vegetation data from non‐systematic surveys. 1913–1998; 75% post‐1940. #presence records: mean: 1170, range 36–5822; 80% occupied cells have >1 species. Forest inventory plots on regular lattice; 10?013 sites. Accurate locations. #presence records: mean: 810, range: 19–6953.
  • 1 Locations are considered accurate if location error is estimated to be ≤100 m. Where accurarcy data are not presented, no information was provided.

The environmental data used for each region were selected for their relevance to the species being modelled (Austin 2002), as determined by the data provider (Tables 1 and 3). Eleven to 13 predictors were supplied per region, with grid cell sizes ranging from ca 100 by 100 m (AWT, NSW, NZ, SWI) to 1000 by 1000 m (CAN, SA). Several regions had data sets where previous research informed the development of ecologically relevant predictors (NSW, NZ, SWI). Other regions simply used variables typical of those used in distribution modelling, with emphasis on climatic data (CAN, SA, AWT). None of the exact data sets used in our study have previously been used for modelling, but some published studies (Ferrier and Watson 1997, Guisan et al. 1998, Venier et al. 2001, Leathwick 2002) use subsets of these or closely related data.

Table 3. Environmental data.
Region Grid cell size Projection Variables Correlated pairs (pearson r>0.85)
AWT 80 m UTM 10 climate from BIOCLIM (1: annual mean temp, 2: temp seasonality, 3: max temp of warmest month, 4: min temp of coolest month, 5: annual precipitation, 6: precip seasonality, 7: precip driest quarter, 8: annual mean radiaton, 9: moisture index (MI) seasonality, 10: mean MI of lowest quarter MI), 11: slope, 12: topographic position, 13: terrain ruggedness index. 1 with 3,4;5 and 8 with 7;6 and 8 with 9;10 with 6,7,8,9.
CAN 1 km unprojected 6 climate from WORLDCLIM (1: annual mean temp, 2: april temp, 3: temperature seasonality, 4: annual precipitation, 5: precip seasonality, 6: precip driest quarter), 7: altitude, 8: aspect (northness), 9: slope, 10: distance from Hudson Bay, 11: vegetation class (5 classes). 1 with 2,5,6,10;2 with 3,5,6,10;3 with 5,6;4 with 5,6; 5 with 6.
NSW 100 m unprojected 5 climate (mean annual rainfall, mean rainfall of driest quarter, annual mean temperature, minimum temperature of the coldest month, annual mean solar radiation), moisture index, soil fertility, soil depth, ruggedness, topographic position, compound topographic index, disturbance, vegetation class (9 classes). min temp with mean temp.
NZ 100 m NZ map grid 8 climate (mean October vapour pressure deficit at 09:00 h, vapour pressure deficit, mean annual solar radiation, mean annual temperature, temperature seasonality, average monthly ratio of rainfall to potential evaporation(r2pet), annual precipitation, solar radiation seasonality), age of bedrock, toxic cations in soil, altitude, slope, hillshade. r2pet with annual precip; mean annual temp with altitude.
SA 1 km unprojected 11 climate variables from WORLDCLIM (1: annual mean temperature, 2: mean diurnal range, 3: temperature seasonality, 4: max temp of warmest month, 5: min temp of coldest month, 6: temp annual range, 7: mean temp of wettest quarter, 8: annual precipitation, 9: precip seasonality, 10: precip driest quarter, 11: precip warmest quarter). 1 with 4,5,7;2 with 6,4 and 5 with 7.
SWI 100 m UTM 7 climate (1: growing days above freezing, 2: average temp coldest month, 3: days of summer frost, 4: annual precip, 5: days rain >1 mm, 6: site water balance, 7: potential yearly global radiation), slope, topographic position, soil nutrient index, calcareous bedrock, broadleaf cover, conifer cover. 1 with 2.

The data as supplied required considerable grooming and manipulation to generate datasets of consistent quality both within and between regions. For each region, environmental predictor variables were manipulated so that projections, grid cell size and alignment, and spatial extent were consistent across all layers. Some species data (particularly in the PO datasets) had many records per grid cell because of either repeat observations over years, or sites in close proximity to each other. We reduced both the PO and PA datasets to one record per grid cell. For the PA data, if any record in the grid cell was a presence, presence was assigned to the one record that was kept regardless of whether there was also an absence in the same grid cell. This was not a common feature of the data, but it occurred at least once in all data sets except SA. In a small number of cases both a PO and PA record occurred in the same grid cell; in these the PA record was usually deleted in order to ensure that there was no spatial overlap between the modelling and evaluation data sets. The exception was for the AWT data, where the PO record was deleted due to limited PA data.

As some of the modelling methods required data akin to absences, background samples (sometimes also referred to as “pseudo‐absences”; Ferrier et al. 2002a) were generated by drawing a random sample of 10 000 sites for each region. These were intended as a sample of the whole region, and it is possible that a background sample coincided with a presence record. In another study we address alternative strategies for creating such data (and see Zaniewski et al. 2002, Graham et al. 2004a). It is important to note that the community methods (MARS‐COMM and GDM) described below use the species data differently to single species methods (see Appendix, Text S1). In particular, they define a model using all sites available for all the species of the relevant biological group, and assume absences at sites if presence is not recorded, effectively treating all presence sites for a group of species as indicating an absence for any species not recorded at a particular site. To preserve as much consistency as possible between the single species and community modelling approaches, we used background samples in addition to the community data for fitting the community models. Nevertheless, the inclusion of the community data sets these apart from the single‐species methods.

Modelling methods

Eleven distinct modelling methods were used, but a number of these were implemented in more than one way, resulting in the 16 approaches presented here (Table 4 and Appendix, Text S1). The methods form two broad groups based on the type of data they use: those that only use presence records (BIOCLIM, DOMAIN, LIVES), and those that characterise the background with a sample (all other methods). Among the techniques that characterise the background, a critical distinction exists between those that use only the presence records for the modelled species vs those that use data describing the presences of other species, i.e. community‐based techniques. Details and key references for each method are in Appendix, Text S1 and Table 4, and the following briefly introduces the methods, with more detail for lesser‐known techniques.

Table 4. Modelling methods implemented.
Method Class of model, and explanation Data1 Software Uncert‐aintyest?2 Contact person
BIOCLIM envelope model p DIVA‐GIS no CG, RH
BRT boosted decision trees pa R, gbm package no JE
BRUTO regression, a fast implementation of a gam pa R and Splus, mda package yes JE
DK‐GARP rule sets from genetic algorithms; desktop version pa DesktopGarp no ATP
DOMAIN multivariate distance p DIVA‐GIS no CG, RH
GAM regression: generalised additive model pa S‐Plus, GRASP add‐on yes AG,AL,JE
GDM generalised dissimilarity modelling; uses community data pacomm Specialized program not general released; uses Arcview and Splus no SF
GDM‐SS generalised dissimilarity modelling; implementation for single species pa as for GDM no SF
GLM regression; generalised linear model pa S‐Plus, GRASP add‐on yes AG,AL,JE
LIVES multivariate distance p Specialized program not general released no JLi
MARS regression; multivariate adaptive regression splines pa R, mda package plus new code to handle binomial responses yes JE, FH
MARS‐COMM as for MARS, but implemented with community data pacomm as for MARS yes JE
MARS‐INT as or MARS; interactions allowed pa as for MARS yes JE
MAXENT maximum entropy pa Maxent no SP
MAXENT‐T maximum entropy with threshold features pa Maxent no SP
OM‐GARP rule sets derived with genetic algorithms; open modeller version pa new version of GARP not yet available no ATP
  • 1 p=only presence data used; pa=presence and some form of absence required – e.g. a background sample; comm=community data contribute to model fitting.
  • 2 any method can have an uncertainty estimate derived from bootstrapping the modelling; these data refer to estimates that are available as a statistical part of the method.

The first group of methods (those that only use presence records) includes one envelope‐style method (BIOCLIM) that characterises sites that are located within the environmental hyper‐space occupied by a species, and two distance‐based methods (DOMAIN and LIVES) that assess new sites in terms of their environmental similarity to sites of known presence. The two distance‐based methods differ both in their theoretical assumptions and the procedures used for calculating similarities.

The second group of methods includes several regression approaches (Table 4). Generalised linear models (GLMs) and generalised additive models (GAMs) are used extensively in species’ distribution modelling because of their strong statistical foundation and ability to realistically model ecological relationships (Austin 2002). GAMs use non‐parametric, data‐defined smoothers to fit non‐linear functions, whereas GLMs fit parametric terms, usually some combination of linear, quadratic and/or cubic terms. Because of their greater flexibility, GAMs are more capable of modelling complex ecological response shapes than GLMs (Yee and Mitchell 1991). BRUTO provides a rapid method to identify both the variables to include and the degree of smoothing to be applied in a GAM model, but has only recently been used in ecological applications (Leathwick et al. unpubl.). Multivariate adaptive regression splines (MARS) provide an alternative regression‐based method for fitting non‐linear responses, using piecewise linear fits rather than smooth functions. They are much faster to implement than GAMs, and simpler to use in GIS applications when making maps of predictions. An added feature that we investigate here is their ability to analyse community data (Leathwick et al. 2005), i.e. to simultaneously relate variation in the occurrence of all species to the environmental predictors in one analysis, and then estimate individual model coefficients for each species (MARS‐COMM). Most of our implementations of the regression methods did not attempt to model interactions, with the exception of the MARS models, where we allowed the fitting of first‐order interactions in single species models (MARS‐INT).

We implemented two versions of GARP: the desktop version that has been used widely for modelling data from natural history collections (DK‐GARP), and a new open modeller implementation (OM‐GARP), that has updated algorithms for developing rule sets. These both use a genetic algorithm to select a set of rules (e.g. adaptations of regression and range specifications) that best predicts the species distribution (Stockwell and Peters 1999).

Two methods have been developed within the machine learning community: maximum entropy models (MAXENT and MAXENT‐T) and boosted regression trees (BRT, also called stochastic gradient boosting). MAXENT estimates species’ distributions by finding the distribution of maximum entropy (i.e. closest to uniform) subject to the constraint that the expected value of each environmental variable (or its transform and/or interactions) under this estimated distribution matches its empirical average (Phillips et al. 2006). In the MAXENT application for modelling presence‐only species’ data, choices can be made about the complexity of the fitted functions. BRT combines two algorithms: the boosting algorithm iteratively calls the regression‐tree algorithm to construct a combination or “ensemble” of trees. Regression trees are used because they are good at selecting relevant variables and can model interactions; boosting is used to overcome the inaccuracies inherent in a single tree model. The regression trees are fitted sequentially on weighted versions of the data set, where the weights continuously adjust to take account of observations that are poorly fitted by the preceding models. Boosting can be seen as a method for developing a regression model in a forward stage‐wise fashion, at each step adding small modifications in parts of the model space to fit the data better (Friedman et al. 2000). When using BRT, we avoided overfitting by using cross‐validation to progressively grow models while testing predictive accuracy on withheld portions of the data.

Finally, generalised dissimilarity models (GDM) model spatial turnover in community composition (or “compositional dissimilarity”) between pairs of sites as a function of environmental differences between these sites. The approach combines elements of matrix regression and generalised linear modelling, thereby allowing it to model non‐linear responses to the environment that capture ecologically realistic relationships between dissimilarity and ecological distance (Ferrier 2002, Ferrier et al. 2002b). For predicting species’ distributions, an additional kernel regression algorithm (Lowe 1995) is applied within the transformed environmental space generated by GDM, to estimate likelihoods of occurrence of a given species at all sites. Two versions of this approach were applied in the current study: 1) “GDM” in which a single GDM was fitted to the combined data for all species in a given biological group, such that the output from this GDM was then used as a common basis for all of the subsequent kernel regression analyses; and 2) “GDM‐SS” in which a separate GDM was fitted to the data for each species alone, such that kernel regression analysis for each species was based on the output from a GDM tailored specifically to that species.

As the manner in which a particular method is implemented can have substantial effects on model performance, we deliberately used experienced analysts to develop all models. We also implemented batch processing of methods in order to run the large number of models presented here, using settings judged by the modellers to provide a robust and reliable implementation of the method. Details are contained in Appendix, Text S1 and Table S1.

Experimental design

All analyses were carried out by modellers (Appendix, Table S2) blind to the evaluation data, which was not examined until after all modelling was complete. We provided modellers with the presence‐only (PO) locations for each species and random background locations (one set for each of the 6 regions). For each region, environmental data were presented in two formats: either as a table that included the environmental variables for each PO and random locality, or as environmental grids. The modellers could use the modelling data in any way they chose, to decide how to develop their models (e.g. they could run cross‐validation testing on the PO data). Based on these decisions, modellers made predictions for each species using a set of evaluation data, one set of which was prepared for each region. This consisted of a table of environmental data for the evaluation sites, but it contained no species records, i.e., predictions were made from the PO data with no knowledge of the pattern of the species as described by the PA dataset. Modellers who applied more than one method to the data (Appendix, Table S2) approached each method as a new situation and aimed to implement the method in the best way possible for a multi‐species analysis (Appendix, Text S1).

Evaluation

The evaluation focussed on predictive performance at sites. We used three statistics, the area under the Receiver Operating Characteristic curve (AUC), correlation (COR) and Kappa, to assess the agreement between the presence‐absence records and the predictions. AUC has been used extensively in the species’ distribution modelling literature, and measures the ability of a model to discriminate between sites where a species is present, versus those where it is absent (Hanley and McNeil 1982). This provides an indication of the usefulness of the models for prioritising areas in terms of their relative importance as habitat for the particular species. The AUC ranges from 0 to 1, where a score of 1 indicates perfect discrimination, a score of 0.5 implies predictive discrimination that is no better than a random guess, and values <0.5 indicate performance worse than random. “Worse than random” can occur because a model may fit the modelling data but predict badly, and we tested predictive performance on independent data rather than model fit. AUC values can be interpreted as indicating the probability that, when a presence site and an absence site are drawn at random from the population, the first will have a higher predicted value than the second. It is closely related to a Mann‐Whitney U statistic, and it is in this context it is seen to be a rank‐based statistic – the prediction at the presence site can be higher than the prediction at the absence site by a small or large amount, and the value of the statistic will be the same. Standards errors were calculated with the methods of Hanley and McNeil (1982).

The correlation, COR, between the observation in the PA dataset (a dichotomous variable) and the prediction, is known as the point biserial correlation, and can be calculated as a Pearson correlation coefficient (COR; (Zheng and Agresti 2000)). It is similar to AUC, but carries with it extra information: instead of being rank‐based, it takes into account how far the prediction varies from the observation. This gives further insight into the distribution of the predictions, and in the technical evaluation framework of Murphy and Winkler (1992) further informs the user about the model's discrimination.

Kappa (Cohen 1960), which is a chance‐corrected measure of agreement, is commonly used in ecological studies with presence‐absence data. It requires a threshold to be applied to the predictions, to convert them to presence‐absence predictions. Kappa provides an index that considers both omission and commission errors. We calculated a maximum kappa (KAPPA) for each model by calculating kappa at all possible thresholds for each species‐specific set of predictions and identifying both the maximum kappa and the threshold at which this occurred. This method used information not available to the modeller – i.e. information from the evaluation data set. It returns the best possible KAPPA score for each method. Liu et al. (2005) have demonstrated that other methods are more reliable for selecting thresholds from the training data (i.e. that used in model development), but in this case we wanted to characterise the best possible KAPPA value that could be attained on these evaluation data, so that threshold selection did not confound the results.

Variation in AUC and COR values were analysed using Generalized Linear Mixed Models, with the statistic (e.g. AUC) as the response and modelling method fitted as a fixed effect. Both species and an interaction between modelling method and region were fitted as random effects, the interaction term allowing for differing performance of methods across regions. Analyses were performed using WinBUGS (Spiegelhalter et al. 2003a), which fits a Bayesian model. We assumed uninformative priors for all parameters, resulting in a GLMM that is equivalent to one fitted using maximum likelihood. Comparisons of the sixteen methods were summarized from 50 000 Monte Carlo iterations after a burn‐in period of 10 000. The performance of modelling method was summarized as the mean and standard deviation of the posterior distributions. The percentage of runs where the response (e.g. AUC) for method X is greater than that for method Y estimates the probability that the true difference between the methods is greater than zero. This is a 2‐tailed test, and values close to 1 mean that method X's response is greater than that of method Y, and vice‐versa for values close to zero. The importance of each term in the GLMM was assessed by change in the Deviance Information Criterion (DIC, Spiegelhalter et al. 2003b) for the full model compared with subsets where each term was excluded from the model. The DIC is the Bayesian equivalent of Akaike's Information Criterion, and rules of thumb suggest that changes in DIC of >10 units indicate that the excluded term had an important effect (Burnham and Anderson 2002, McCarthy and Masters 2005).

To further explore the results, we calculated a series of metrics that define the distances between sites, and the area occupied, in both environmental and geographic space. These are useful for assessing to what extent a species “fills” the regional space. The nearest neighbour (NN, also called p‐median) summarises the distances between points in multidimensional environmental space, using a Manhattan distance (Sneath and Sokal 1973). We used the 10 000 random points and the presences in the evaluation data set and calculated the median of the minimum distances between any one random point and all the presence points. In each dimension, the distance was scaled by the range of the random points. NN values are larger for species that occupy only part of the environmental space of the region. The range overlap method used the same sets of points but summarised the mean overlap in ranges over all environmental dimensions; high values indicate species that span most of the environmental space in the regions. In contrast to those two methods, maximum distance and area of convex polygons are measures in geographic space, calculated on presence only data but presented in relation to the maximum measures in the presence absence data for each biological group in each region. Small distances or areas indicate species that are restricted geographically.

Finally, we recorded time taken for modelling and made comments on potential improvements, and these are presented in Appendix, Table S2.

Results

To display mapped model results, we show distributions predicted with several modelling methods for species in NSW (Fig. 1 and Appendix, Fig. S1). These maps illustrate variation in model predictions among techniques. There is considerable agreement between some methods. The most obvious differences are in the proportion of the region that appears to be predicted most suitable for the species, and although these might stem from predictions that are scaled in different ways, the variation in AUC suggests actual differences between methods.

image

Maps for two species from NSW for each of three selected techniques. Details: ousp6, Poa sieberiana (53 records for modelling and 512 presence/797 absence for evaluation); srsp6 Ophioscincus truncatus (79 model, 74/932 eval). The first column shows modelling sites (grey triangles) and evaluation sites: presence=black circle, absence=black cross.

Evaluating the results at independent sites across all species and methods, we found clear indications that presence‐only data can provide the basis for accurate predictions, but also marked variation in modelling success (Fig. 2 and Appendix, Table S3). For example, although AUC varied from 0.07 to 0.97, 40% of models had an AUC>0.75 (a useful amount of discrimination; see methods), and 90% of methods performed better than random (AUC>0.5). The following analyses explore trends and sources of variation among methods, regions and species.

image

Distribution of AUC for all species and from all methods. The solid curve is a density plot, and the y axis is scaled to show the relative density of points; for the histogram bars the sum of the area below all bars is 1. The grey vertical solid line shows random predictions, and grey dashed indicates reasonable predictive performance.

A) Broad trends across regions and species

Assessments of modelling success using AUC and COR indicate that methods can be analysed in three groups (Fig. 3 and Appendix, Fig. S2). The first and highest‐performing group (above‐right of the solid black line in Fig. 3) included MARS community (MARS‐COMM), boosted regression trees (BRT), generalised dissimilarity (GDM and GDM‐SS) and maximum entropy (MAXENT and MAXENT‐T) models, all of which performed relatively well according to each of the evaluation measures (Figs. 3 and 4). A second group of methods (between the solid and dashed diagonal black lines, Fig. 3) showed intermediate performance for AUC and COR. It included most of the standard regression methods (generalised additive models – GAM and BRUTO; generalised linear models – GLM; individual multivariate adaptive regression splines – MARS), and OM‐GARP. Models in the third group all performed relatively poorly (lower left of the dashed black line, Fig. 3) and included the 3 methods that use only presence data with no inferred absences (BIOCLIM, LIVES, DOMAIN), along with DK‐GARP, and the MARS individual models fitted with interactions (MARS‐INT). This group also deviated from the generally linear relationship between AUC and COR results, i.e. assessment of their predictive success depends on which measure is used. DOMAIN was close to the middle group in relation to AUC but not COR, and DK‐GARP was close for COR but less successful with AUC. DK‐GARP results are not completely comparable to the others because this method could not be applied to for one region (NZ) because of computational constraints.

image

Mean AUC vs mean correlation (COR) for modelling methods, summarised across all species. The grey bars are standard errors estimated in the GLMM (see Appendix), reflecting variation for an average species in an average region. The labels are broad classifications of the methods: grey underlined=only use presence data, black capitals=use presence and background samples, black lower case italics=community methods.

image

Performance measured by maximum kappa and its variance across all species. Variance axis reversed so low is higher on plot; it is desirable to have high kappa and low variance (i.e. upper right in plot), for consistent and good performance. Labels as for Fig. 3.

The GLMMs confirmed our graphical interpretation and indicated that differences in the performance of modelling methods were statistically important, because the removal of the modelling method term from the full model resulted in a change in the Deviance Information Criterion of 472 units (Table 5). These results are for AUC, and those for COR are comparable. Results from the pair‐wise comparison of methods (Table 6) indicate that those methods occurring to the top right in Fig. 3 provide significantly better performance that those to the lower left, and also to several methods located in the central part of this figure. The error bars in Fig. 3 are those estimated from the model, and bars that do not overlap coincide with high probabilities that the methods are different (Fig. 3, Table 6).

Table 5. Analysis of importance of factors affecting predictive performance, from Generalized Linear Mixed Model.
Model DIC1
Full model:AUC∼Method+Method×Region+Species −8996
Without Method −8524
Without Interaction (Method×Region) −8803
Without Species −4071
  • 1Deviance Information Criterion. Changes in DIC >10 are important.
Table 6. Probability that the method in the column gives a higher AUC than the method in a row. Low values indicate that the method in the row tends to give higher AUCs than the method in the column. Values outside the arbitrary limits p=(0.025, 0.975) are highlighted in bold; for this two‐tailed test.
BIOCLIM BRT BRUTO DOMAIN GAM GLM DK‐GARP OM‐GARP GDM GDM‐SS LIVES MAXENT MAXENT‐T MARS MARS‐INT MARS‐COMM
BIOCLIM
BRT 0.000
BRUTO 0.019 0.988
DOMAIN 0.013 0.979 0.422
GAM 0.011 0.976 0.413 0.495
GLM 0.012 0.982 0.447 0.527 0.534
DK‐GARP 0.200 0.999 0.882 0.914 0.916 0.909
OM‐GARP 0.010 0.976 0.400 0.475 0.487 0.449 0.078
GDM 0.000 0.757 0.061 0.089 0.093 0.076 0.004 0.095
GDM‐SS 0.000 0.791 0.076 0.107 0.110 0.095 0.006 0.119 0.549
LIVES 0.124 0.999 0.832 0.877 0.877 0.864 0.394 0.888 0.993 0.992
MAXENT 0.000 0.733 0.052 0.075 0.081 0.065 0.004 0.085 0.469 0.424 0.007
MAXENT‐T 0.000 0.658 0.032 0.049 0.050 0.043 0.002 0.054 0.381 0.337 0.003 0.411
MARS 0.017 0.986 0.479 0.552 0.560 0.530 0.111 0.580 0.933 0.918 0.151 0.942 0.964
MARS‐INT 0.169 0.999 0.877 0.914 0.916 0.900 0.465 0.924 0.996 0.995 0.576 0.997 0.998 0.888
MARS‐COMM 0.000 0.425 0.009 0.015 0.016 0.012 0.000 0.016 0.190 0.157 0.000 0.213 0.279 0.010 0.000

The same general trends are evident also for KAPPA (Fig. 4), although methods are not so clearly separated because KAPPA is a less sensitive measure, estimating performance at a single prediction threshold. Nevertheless, the highest‐performing methods as assessed by AUC and COR also had the highest KAPPA scores (to the right in Fig. 4) and the presence‐only methods also ranked among the lowest.

B) Comparison of regional results

Predictive success varied markedly across regions (Fig. 5, Appendix, Figs. S3 and S4; Table 7 and Appendix, Table S3). For example, AUC scores were generally high for SWI and SA (mean values of 0.77 and 0.76, Table 7, and details in Appendix, Table S3), intermediate for NSW, NZ and AWT (mean AUC 0.69, 0.71, 0.67 respectively) and mostly poor for CAN (mean AUC 0.58). Regional differences as assessed using COR (Table 7, Appendix, Table S3) and KAPPA (Appendix, Tables S3 and S4) indicated a slightly different ordering of regions: SA and AWT were better modelled than the next group (SWI, NSW, NZ), but again predictions for CAN species were generally poor. The relative success of different methods did not differ greatly across the three test statistics, therefore we focus on AUC statistics for the remainder of this section.

image

Predictive success across regions, for 10 methods. Regions are sorted by the mean AUC across all 16 methods and all species per region.

Table 7. Regional data: mean AUC and mean COR per method, per region.
Method Mean AUC Mean COR
AWT CAN NSW NZ SA SWI AWT CAN NSW NZ SA SWI
BIOCLIM 0.65 0.63 0.63 0.61 0.75 0.71 0.22 0.08 0.12 0.08 0.29 0.15
BRT 0.68 0.60 0.71 0.73 0.80 0.81 0.24 0.08 0.19 0.18 0.32 0.24
BRUTO 0.64 0.55 0.68 0.72 0.75 0.79 0.20 0.04 0.15 0.17 0.22 0.20
DK‐GARP 0.68 0.56 0.66 na1 0.75 0.70 0.28 0.05 0.15 na1 0.21 0.13
DOMAIN 0.67 0.60 0.70 0.69 0.77 0.73 0.22 0.05 0.15 0.10 0.21 0.14
GAM 0.65 0.55 0.68 0.73 0.75 0.80 0.22 0.04 0.15 0.17 0.23 0.21
GDM 0.67 0.57 0.73 0.74 0.79 0.78 0.24 0.06 0.21 0.16 0.30 0.19
GDM‐SS 0.70 0.56 0.70 0.73 0.79 0.79 0.29 0.04 0.17 0.15 0.28 0.20
GLM 0.66 0.57 0.68 0.71 0.74 0.78 0.24 0.06 0.16 0.16 0.22 0.19
LIVES 0.66 0.61 0.66 0.66 0.77 0.72 0.23 0.06 0.12 0.08 0.21 0.13
MARS 0.66 0.55 0.67 0.72 0.75 0.79 0.23 0.04 0.15 0.17 0.24 0.21
MARS‐COMM 0.67 0.64 0.73 0.74 0.77 0.82 0.20 0.11 0.19 0.18 0.26 0.26
MARS‐INT 0.65 0.54 0.64 0.70 0.73 0.78 0.22 0.05 0.14 0.16 0.24 0.21
MAXENT 0.68 0.58 0.71 0.74 0.78 0.80 0.23 0.05 0.18 0.18 0.27 0.24
MAXENT‐T 0.69 0.58 0.71 0.73 0.77 0.80 0.24 0.06 0.18 0.18 0.26 0.25
OM‐GARP 0.69 0.55 0.68 0.70 0.77 0.77 0.29 0.04 0.15 0.13 0.25 0.19
mean 0.67 0.58 0.69 0.71 0.76 0.77 0.24 0.06 0.16 0.15 0.25 0.20
  • 1 DK‐GARP could not be run for NZ; the large number of grid cells could not be accomodated by the available computers.

In some regions there were relatively large differences in mean AUC among methods, whereas in others differences were more muted, as shown by the vertical spread of the lines in Fig. 5 (and see Table 7). When data are analysed within regions there is less power to detect differences, so error bars were relatively larger (compare Fig. 3 and Appendix, Fig. S5) and fewer pairwise differences between methods were significant. Our ability to clearly distinguish between methods was partly related to the amount of evaluation data; SWI, NZ, and CAN had more data (i.e. number of records per species is to the right of Appendix, Fig. S6, leading to lower standard errors, Appendix, Fig. S7), and more records provide more opportunity to find differences in these regions. For example, Table 8 presents pairwise differences for SA and SWI, and demonstrates more distinctions between methods in SWI. Nevertheless, Nevertheless, relative rankings of methods were broadly consistent across regions (Fig. 5, Table 7, and see Appendix, Table S3, Fig. S5) and the group of highest‐performing methods identified in Fig. 3 was generally reliable across all regions, but with some variation depending on the evaluation statistic (Appendix, Fig. S5).

Table 8. Probability that the method in the column gives a higher AUC than the method in a row for (a) SA and (b) SWI.Format follows Table 6.
BIOCLIM BRT BRUTO DOMAIN GAM GLM DK‐GARP OM‐GARP GDM GDM‐SS LIVES MAXENT MAXENT‐T MARS MARS‐INT MARS‐COMM
(a)
BIOCLIM
BRT 0.002
RUTO 0.653 0.999
DOMAIN 0.098 0.940 0.045
GAM 0.521 0.998 0.367 0.912
GLM 0.740 1.000 0.600 0.973 0.723
DK‐GARP 0.649 0.999 0.495 0.953 0.628 0.395
OM‐GARP 0.102 0.944 0.049 0.513 0.093 0.028 0.049
GDM 0.011 0.706 0.003 0.155 0.009 0.002 0.003 0.147
GDM‐SS 0.024 0.814 0.009 0.254 0.022 0.004 0.010 0.243 0.638
LIVES 0.223 0.982 0.124 0.706 0.206 0.081 0.126 0.694 0.939 0.886
MAXENT 0.083 0.931 0.038 0.467 0.074 0.022 0.039 0.456 0.826 0.721 0.268
MAXENT.T 0.160 0.969 0.083 0.618 0.145 0.051 0.085 0.609 0.907 0.834 0.408 0.650
MARS 0.598 0.999 0.444 0.939 0.577 0.347 0.448 0.936 0.995 0.987 0.844 0.949 0.893
MARS‐INT 0.906 1.000 0.824 0.996 0.897 0.748 0.825 0.995 1.000 1.000 0.980 0.997 0.989 0.857
MARS‐COMM 0.193 0.976 0.104 0.667 0.178 0.065 0.105 0.657 0.927 0.863 0.459 0.696 0.552 0.133 0.014

(b)
BIOCLIM
BRT 0.000
BRUTO 0.000 0.995
DOMAIN 0.006 1.000 1.000
GAM 0.000 0.954 0.193 0.000
GLM 0.000 0.999 0.719 0.000 0.925
DK‐GARP 0.809 1.000 1.000 1.000 1.000 1.000
OM‐GARP 0.000 1.000 0.996 0.000 1.000 0.981 0.000
GDM 0.000 1.000 0.943 0.000 0.993 0.841 0.000 0.140
GDM‐SS 0.000 0.992 0.439 0.000 0.762 0.231 0.000 0.002 0.041
LIVES 0.142 1.000 1.000 0.919 1.000 1.000 0.026 1.000 1.000 1.000
MAXENT 0.000 0.900 0.102 0.000 0.342 0.033 0.000 0.000 0.002 0.132 0.000
MAXENT‐T 0.000 0.840 0.060 0.000 0.243 0.016 0.000 0.000 0.001 0.081 0.000 0.387
MARS 0.000 0.988 0.391 0.000 0.719 0.194 0.000 0.002 0.032 0.448 0.000 0.839 0.899
MARS‐INT 0.000 1.000 0.853 0.000 0.971 0.676 0.000 0.053 0.295 0.886 0.000 0.989 0.995 0.907
MARS‐COMM 0.000 0.251 0.000 0.000 0.009 0.000 0.000 0.000 0.000 0.001 0.000 0.025 0.048 0.002 0.000

Some interesting patterns and exceptions to model performance by region were apparent. Performance of methods in NSW, NZ, SA, and SWI was generally similar, with BRT, MAXENT and MAXENT‐T, MARS‐COMM, and GDM and GDM‐SS usually performing well. In NZ, presence‐only methods (BIOCLIM, DOMAIN and LIVES) performed particularly poorly. In most regions DOMAIN and LIVES had lower COR values in relation to AUC than the average method (i.e. they sit below the line fitted to the means in Appendix, Fig. S5).

The importance of the interaction term (method×region) in the GLMM (Table 5) indicated anomalies in the relative performance of methods in particular regions. These tended to occur in regions with lower overall performance – i.e. to the right in Fig. 5 (see also Table 7 and Appendix, S3), and with highest uncertainty in estimates (see standard errors, Appendix, Fig. S5). For example, in AWT, OM‐GARP ranked with the better methods (GDM‐SS and MAXENT‐T), whereas it generally had only intermediate overall performance in all other regions (Fig. 5, Table 7). However, AUC only varied from 0.64 to 0.70 in AWT and many differences were not statistically important (Appendix, Fig. S5). Canada had the lowest AUC, COR and KAPPA scores of any region, and many methods performed poorly, with evaluation statistics only marginally better than random (Table 7 and Appendix, Table S3; Figs S3, S4 and S5). Of the two methods with the highest AUC scores in CAN, one (MARS‐COMM) ranked consistently among the best across regions, whereas the other (BIOCLIM) tended to be among the lowest.

C) Results at the species level

The greatest variation in the performance of different methods was apparent at the species level, but with similar trends: methods shown above to perform well when averaged across species and regions (i.e. MARS‐COMM, BRT, MAXENT/MAXENT‐T and GDM/GDM‐SS) also tended to perform well when ranked against other methods on an individual species’ basis (Table 9 and Appendix, Fig. S2). Figure 6a shows results from SA that are typical for most regions, in that there is marked variation in which methods perform best for different species (i.e. lines cross in the graphs). Most methods occasionally failed badly, although the better methods tended to have more stable performance. The exception to this general pattern was SWI, in which we observed clear and reasonably consistent separation between methods (Fig. 6b), probably reflecting the larger amounts of accurately located data for both modelling and evaluation. Results for SWI using both AUC and COR indicate that the highest‐performing methods for most species were MARS‐COMM, BRT and MAXENT/MAXENT‐T, while the lowest were LIVES, BIOCLIM, and DK‐GARP (Appendix, Fig. S5). Across all species in all regions, and considering the best method only, 78% of species had AUC scores of 0.70 or more, and 64% had scores of 0.75 or more (Appendix, Table S3). In some cases a species was modelled well (or poorly) by most methods, whereas in others there was considerable variation in predictive accuracy depending on the method used. Mean AUC scores per species varied from 0.36 to 0.97, with coefficients of variation (cv) ranging from 2 to 47% (Appendix, Table S3). The correlation between mean AUC and cv was weakly negative (Pearson r=−0.39), indicating a slight trend for more variation across methods for species with low mean AUC scores.

Table 9. Comparison of performance at a species level and over all species. Rank of 1=highest to 16=lowest.
Method (sorted by column 2) Mean AUC rank per species Rank of mean AUC over all species
MARS‐COMM 6.15 1
BRT 6.20 2
MAXENT‐T 6.42 3
MAXENT 6.69 5
GDM‐SS 7.38 6
GDM 7.53 4
GAM 8.26 7
GLM 8.64 10
DOMAIN 8.70 9
BRUTO 8.79 12
MARS 8.92 8
OM‐GARP 8.92 11
MARS‐INT 9.72 13
LIVES 10.22 14
DK‐GARP 10.47 15
BIOCLIM 10.85 16
image

Predictive performance for the 30 South American species (6a) and the 30 Swiss species (6b) for 10 methods. Species are sorted by the mean AUC across all 16 methods.

Predictive performance did not vary consistently with number of presence records available for modelling (Table 10, Fig. 7, Appendix, Table S5). Species that are rarer because they are environmentally or geographically restricted appeared to be modelled with greater accuracy than more common and generalist species (Table 10). We note here and discuss later that this result depends on the spatial extent of analysis and the type of evaluation.

Table 10. Pearson correlation coefficients between data characteristics and the maximum AUC achieved per species, summarised at a regional level.
Sample sizes Environmental space Geographic space
P in PO Prevalence Nearest neighbour Range overlap Relative maximum distance Relative area of convex polygon
AWT −0.340* −0.276 0.589* −0.302 −0.456* −0.421*
CAN 0.048* −0.318 0.621* −0.589* −0.313 −0.304
NSW −0.045 −0.654* 0.675* −0.770* −0.230 −0.359*
NZ 0.028 −0.298* 0.713* −0.669* −0.491* −0.300*
SA −0.601* −0.714* 0.541* −0.922* −0.667* −0.708*
SWI −0.186 −0.165 0.619* −0.520* −0.534* −0.620*
  • Asterisks indicate significant values (p<0.05). Prevalence is the frequency of occurrence records in the PA data. The measures are detailed in the methods.
image

The maximum AUC (o&v;er all methods) &v;s sample size in modelling data. Each point represents a species.

Discussion

The model comparison developed herein is unique for its broad geographic scope, application of numerous of modelling methods (including several new techniques) to the analysis of presence‐only data, and incorporation of extensive presence/absence data to enable well‐informed evaluations of predictive performance. We interpret results in the context of the feasibility of using such techniques to predict accurately species’ distributions in situations in which only presence data are available. Our explanation also explores the utility of the vast storehouse of occurrence information in resources such as world natural history museums.

We can draw two major conclusions from our results. First, presence‐only data are useful for modelling species’ distributions. This result bolsters the recent movement to capitalize on the growing availability of both species’ occurrence records (Soberon et al. 2000, Graham et al. 2004a) and high‐resolution spatial environmental data. Not all species were predicted well according to our evaluation data, but we found that 64% of the best models for each species had AUCs >0.75 and an additional 14% had AUCs between 0.7 and 0.75. These AUC scores indicate that predictions based on presence‐only data can be sufficiently accurate to be used in conservation planning (Pearce and Ferrier 2000a) and in numerous other applications in which estimates of species’ distribution are relevant. Second, new modelling methods that have only recently been applied to the challenge of modelling species’ distributions generally outperformed established methods. Some of these new methods originated in other disciplines and have had little exposure in ecological analyses. These methods appear to offer considerable promise across a much broader range of ecological applications, providing an exciting avenue for future research. The other strong performers were community methods, and these also deserve further scrutiny, particularly where data for the species in question are sparse.

Broad comparison of methods

We demonstrated differences in predictive performance among modelling methods, despite substantial variation at both regional and species levels. Within the suite of relatively commonly used methods, those that characterise the background environment and that can differentially weight variables outperform those that use presence data alone (BIOCLIM, LIVES, and – for some measures – DOMAIN). These results give no support to using methods that do not attempt to characterise the distribution of a species relative to the background environment in which it occurs. The various regression‐based methods are largely indistinguishable from one another in terms of predictive performance. The new version of GARP (OM‐GARP), first implemented for this study, is comparable to, but slower than, the regression methods and outperforms the widely used desktop version.

Results for the more common approaches are consistent with previous studies of presence‐absence modelling methods, and with the relatively few comparisons of methods used to model presence‐only data. Studies of presence‐absence modelling methods suggest that several non‐linear techniques (e.g. GAMs, artificial neural networks, and MARS) are comparable in terms of predictive ability, and are often superior to methods such as traditional single decision trees (Ferrier and Watson 1997, Elith and Burgman 2002, Moisen and Frescino 2002, Muñoz and Fellicísimo 2004, Segurado and Araujo 2004). Comparisons of methods using presence‐only records are less common, but tell a similar story: GLMs and GAMs generally outperform simpler methods (Ferrier and Watson 1997, Brotons et al. 2004), MAXENT outperforms GARP (Phillips et al. 2006) and some presence‐only methods (e.g. DOMAIN, ENFA, (Hirzel et al. 2002)) have advantages over BIOCLIM (Loiselle et al. 2003). Most of these studies, however, have focused on single geographic regions and/or smaller numbers of species. Several have been evaluated on the same data sets as were used for model development, and this makes it difficult to generalise results, and to discern whether models have good predictive performance or whether they are simply overfit (Leathwick et al. unpubl.). Our use of independent presence/absence test data across multiple geographic regions provides a broader basis for comparisons.

A novel aspect of our work is the inclusion of newer modelling methods that have had little exposure in previous comparative studies and few applications in ecology in general. These novel methods outperform the established methods, and this observation should provoke attention and scrutiny. Several of the novel methods have been developed and tested in fields other than species’ distribution modelling, and have been shown to handle noisy data and complex analytical challenges successfully. For example, boosted regression trees have been a focus of attention in the machine‐learning and statistical fields for a number of years (Ridgeway 1999, Hastie et al. 2001), but the present paper and a companion application to New Zealand fish (Leathwick et al. in press) are among the first in ecology. Similarly, maximum entropy methods are well known in other fields (Jaynes 1982) but only recently developed for questions of species’ distributions (Phillips et al. 2006).

One question of interest is whether our “best” methods share certain characteristics that set them apart from the others? One feature that they all share in common is a high level of flexibility in fitting complex responses. As a consequence they all have what we term here “expressiveness”– a well‐developed ability to express or demonstrate the complex relationships that exist in the data. In several methods this includes effective mechanisms for modelling interactions among variables. However, expressiveness needs to be controlled so that models are not overfit, and to that end several methods use “regularization” techniques (Hastie et al. 2001) to achieve balance between complexity and parsimony.

These methods achieve those goals in different ways. BRT achieves expressiveness by combining the strengths of regression trees, namely omission of irrelevant variables and ability to model interactions, with those of boosting, that is, the building of an ensemble of models that approximate the true response surface more accurately than a single model by overcoming the misclassification problems inherent in single tree models. Both the model building procedure (a penalized forward stepwise search) and our cross‐validation methods for finding optimal numbers of trees help to control overfitting. The application of maximum entropy methods to distribution modelling was developed specifically for use with presence‐only occurrence data (Phillips et al. 2006). In MAXENT, strong focus has been placed on the role of penalty functions (i.e. regularization) in parameter estimation. Regularization has most impact when sample sizes are small, so the MAXENT modellers tuned their regularization in relation to sample size (Phillips et al. 2004). MAXENT can also fit complex functions between response and predictor variables, and can include interaction terms but to a more limited extent than BRT. GDM‐SS models are single‐species versions of the community‐based GDM models. They are parameterized on data for individual species, not including community data. These models are developed in a 2‐step fashion, which together achieves controlled expressiveness. The first step operates effectively like a GAM, fitting additive smoothing functions (albeit to dissimilarities rather than raw observations). The second step, a kernel regression, incorporates interactions by modelling distances and densities within a truly multivariate predictor space, with no assumption of additivity. The success of the kernel regression step depends on the first step accurately transforming the predictor space, thereby addressing the “curse of dimensionality” normally associated with kernel regression type techniques (Lowe 1995).

The success of these new methods suggests that predictive performance of some more common methods such as GAMs might be improved substantially if better tradeoffs between expressiveness and complexity could be incorporated into the model fitting process. In the case of GAMs the issue is not whether it can fit complex responses – it can – but whether the model building methods commonly used are optimal for species distribution modelling. One aspect is modelling interactions, which is possible in regression but rarely implemented when many species are being modelled. Another is model selection: alternative techniques already exist, but are rarely implemented in ecology. For example, the “lasso,” used for regularization in MAXENT, can be applied to variable selection and coefficient estimation in regression (Hastie et al. 2001), and has been shown to perform better than stepwise selection for determining model complexity (Tibshirani 1996).

Ferrier et al. (2002b) developed and used GDM for reserve selection and survey design. The impetus for using GDM and other community modelling methods (e.g. MARS‐COMM) in distribution modelling is based on the understanding that important but subtle environmental trends may only be apparent in the response of multiple species, and, more pragmatically, that rare species are difficult to model with standard statistical methods and, hence, community signals may improve model performance. Community models use information from suites of species to inform variable selection and modelling. Relevant predictors are included because of their strong community signal, whereas that signal might be insufficient to trigger inclusion in single species models (Leathwick et al. unpubl.). GDM is the more ecologically sophisticated approach to community modelling, but the simpler MARS‐COMM models performed at least as well in this study. The comparison of MARS single species models with the MARS community models shows that the community models perform strongly in this trial. In contrast, a recent application of MARS and MARS‐COMM to modelling a large presence‐absence freshwater fish data set from New Zealand indicated no consistent advantage for community models (Leathwick et al. unpubl.). This difference probably reflects the advantage in using community data to infer absences for presence‐only data (see Materials and methods), the importance of the community signal in the more biased and noisier data analyzed here, and the small amounts of data available for fitting some species. Further comparisons of alternative community modelling approaches would be useful to identify the factors influencing success of the various techniques. It is likely that the inference of absences is important, and could be adopted as an alternative to random background samples for single species models.

In summary, we suggest that the good performance of the novel methods result from their ability to fit complex responses (often including interactions) and select a relevant set of variables. We do not expect that the fitted models are too complex – for example, MAXENT as used here is similar in expressiveness to a GLM without interactions (for species with <80 presences) or a GAM with pairwise interactions (Appendix, Text S1). However, for any method an ability to fit complex responses is not useful in itself, and has to be balanced against the requirement for model features to be ecologically realistic (Austin 2002). Systematic assessment of whether individual fitted responses were realistic was beyond the scope of the current research as our aim was to test models across numerous species and regions. Nonetheless, this would be a fruitful avenue for research and model assessment.

Regional patterns

The trend for good performance of the novel methods in our experiment (BRT, MAXENT, GDM and MARS‐COMM) was also apparent at the regional level. In regions such as SWI, where overall performance was high, the “best” methods performed well, but most methods were able to produce reasonable quality models for many of the species. Exceptions to the usual ranking of methods sometimes appeared in regions in which overall predictive performance was generally poor (AWT and CAN), with no clearly consistent cause. In these regions, the good methods usually still showed moderate success in prediction, and often were not impacted as severely as other methods. The fact that some regions had relatively poor average performance and even the best methods could not do well suggests that in such regions, modelling might most benefit from attempts to improve the training data set. This is particularly apparent in the CAN bird data set, in which the data display many of the biases possible in presence‐only data (Anderson 2003). Sampling is severely biased towards the southern extreme of the study area, species’ ranges are only partially represented, and environmental data may not capture the important conditions affecting bird distribution, especially those with large ranges. The effects of the partial sampling of ranges may be similar to those demonstrated by Randin et al. (in press) in their study of transferability of models. One would expect the sampling bias to be particularly problematic in cases, like CAN, where the gradient in sampling efforts corresponds to strong environmental gradients. As a consequence, only 4 of 20 species had a mean ROC>0.7, and the best methods (MARS‐COMM and BIOCLIM) had mean ROC scores of only 0.63 across species. With poor modelling success, the data and ecology of the species need to be further investigated to identify how to supplement or otherwise improve both the species’ occurrence records and the predictor variable set.

Species‐level patterns

Though not a primary focus of our analysis, we can highlight two results to guide those needing to understand what species’ attributes might affect model performance. Firstly, sample size (i.e. number of occurrence records) was not consistently related to modelling success. While other studies indicate that small sample size negatively influences modelling success (Pearce and Ferrier 2000a, Harrell 2001, Stockwell and Peterson 2002, Kadmon et al. 2003), this was not evident here, perhaps because in general we had adequate localities for modelling (mean number of modelling records=233; range=2–5822)

The other pattern that emerged is that species judged to be specialists by the distribution of records in environmental or geographic space tended to have higher AUC scores than generalists, an effect also observed elsewhere (Guisan and Hofer 2003, Segurado and Araújo 2004, Thuiller et al. 2004, Luoto et al. 2005). However, this result requires further scrutiny because it may well be largely a function of spatial extent of the analysis. If the extent is fixed (say, to a region) and the evaluation data are a constant set of sites, specialists by definition are those that exist in only a subset of that space. Therefore, the evaluation data set will have many zero records for such species, and any model that can restrict its non‐zero predictions to the zone that the species occupies will have a good AUC score, due to the comparison with the many absence sites. The question then becomes one of whether a constant extent of analysis is appropriate for all species in relation to the purpose of the predictions. This consideration needs to be defined by the end‐use of the predictions, and merits attention in any evaluation of modelling success.

Limitations

Whereas the present study points to both the potential informativeness of presence‐only data and to improved methods for predicting species distributions from them, we also need to emphasize what this doesn't tell us. Our evaluation strategy is specific to the question of how best to predict species distribution under current environmental conditions, which has broad relevance to conservation and ecological or macro‐ecological studies (Ferrier 2002, Funk and Richardson 2002, Rushton et al. 2004). Our approach, however, does not inform selection of methods for predicting potential ranges or extrapolation from the current to alternative climates. Modelling of potential ranges (Soberón and Peterson 2005) has applications to predicting expansions of invasive species and investigating speciation processes (Hugall et al. 2002, Peterson 2003). However, as the true potential range may differ from the realized range because of dispersal limitation, competition or other factors (Van Horne 1983, Hanski 1994, Tyre et al. 2001, Anderson et al. 2002), evaluating model performance is a complex task and use of observed absences may be misleading.

Projection of modelled relationships to alternative climates (past or future) is an increasingly popular application of distributional modelling, e.g. in relation to potential effects of global warming. However, strong performance of a particular method in the present climate does not guarantee similar performance under different climates (Thuiller 2004), particularly where this requires prediction outside the range of environments on which the original model was based (Araújo et al. 2005). Community‐based models could fail if patterns of species co‐occurrence change due to idiosyncratic responses by individual species to climate change. Similar caution should also be exercised in making predictions for sites distant from the geographic domain from which the modelling data were drawn, given the potential for accurate prediction to be confounded either by unrecognised environmental factors or by large‐scale geographic variation in disturbance regimes (Randin et al. in press). Clearly, different models may be necessary, and different approaches needed to evaluate relative performance of modelling methods under these scenarios. Araújo et al. (2005) argue that whilst evaluation of models to new climates and new regions is particularly difficult, evaluations of models even within one region are prone to over‐optimism. This occurs when modelling and evaluation data sets are not sufficiently independent. Because the data in this study were sourced from collections with substantially different survey protocols, the evaluation is unlikely to suffer from such problems. Nevertheless, further explorations of the ability of the novel methods to predict reliably to unsampled areas – for example, by spatially stratifying the evaluation data – would be useful.

A further qualification needs to be made. Whilst these models have been shown to produce predictions that are useful in their ability to rank sites for relative suitability for many species, we do not suggest that models built with presence‐only data will be well calibrated. That is, they do not accurately predict probability of presence because they do not have access to reliable information on the prevalence (frequency of occurrence) of the species in the region. Rather, they provide relative indices of suitability. Our implementations of most of the methods that take into account background were simple applications of the methods, not attempting to make sophisticated adjustments at might improve this aspect. Alternative approaches such as case control methods for regression (Keating and Cherry 2004, Pearce and Boyce in press), and Bayesian methods (Gelfand et al. 2006) continue to be developed and have potentially important contributions because they deal more appropriately with the presence‐only paradigm.

This is by no means a complete analysis, and important questions remain. To advance our understanding of the strengths and weaknesses of methods and the differences between them requires theoretical investigations of the techniques (Austin 2002), testing on simulated data (Austin et al. 1995), analysis of the modelled response shapes (e.g. Austin et al. 1994, Bio 2000, Leathwick 2002) and evaluation of the spatial trends in errors (Fielding and Bell 1997, Barry and Elith in press). Our method of evaluation relies on the evaluation site data and summarises over these, but this might mask effects that can only be clarified with these more detailed evaluations. Operator expertise will affect model performance, and tests of the sensitivity of the methods to how they are applied would be informative. These were beyond the scope of this paper but are necessary for a deeper understanding of the models and their predictive capacities and limitations.

Finally, we stress that modelling can never provide a complete substitute for detailed, ongoing collection of field data, including data on species’ distribution, demography, abundance, and interactions (Guisan and Thuiller 2005). Modelling approaches which attempt to integrate such information include Bayesian approaches (Gelfand et al. 2006), investigation of competitors (Leathwick and Austin 2001, Anderson et al. 2002), and studies of connectivity (Ferrier et al. 2002a, Moilanen et al. 2005). To date, few models have been validated via collection of new data (but see Ferrier and Watson 1997, Elith and Burgman 2002, Raxworthy et al. 2003, Peterson 2005). Likewise, collaborative efforts between modellers and users such as conservation managers are rare (Pielke Jr 2003). Ideally, models should be developed and tested in iterative cycles that take account of the desired uses of model, investigate the ecological rationality of the modelled responses and explore errors in predictions (Burgman et al. 2005, Barry and Elith in press). We hope that our model comparisons will stimulate more research into both modelling methods, further development of efficient user interfaces for the more successful methods, and greater integration among modellers and end‐users.

Subject Editor: Miguel Araujo.
Download the appendix as file E4596 from <www.oikos.ekol.lu.se/appendix>

Acknowledgements

Data were kindly provided by organizations for whom a number of authors worked. We also thank Mark and George Peck, Royal Ontario Museum, for access to Ontario nest record data (<http://www.birdsontario.org/onrs/onrsmain.html>); Mike Cadman, Bird Studies Canada, Canadian Wildlife Service of Environment Canada, for access to BBS data; Missouri Botanical Garden, especially Robert Magill and Trisha Consiglio, for access to TROPICOS and Gentry transect databases; T. Wohlgemuth and U. Braendli from WSL Switzerland for access to the NFI and forest plots data, and Andrew Ford, CSIRO Atherton, for AWT PA plant records. Michael McCarthy helped with the GLMM analysis and WinBUGs programming. The comments of Mike Austin and Miguel Araújo improved the manuscript substantially. J. E. was funded by ARC Grant DP0209303. This research was initiated in a working group at the National Center for Ecological Analysis and Synthesis (NCEAS), Santa Barbara, USA: “Testing Alternative Methodologies for Modelling Species’ Ecological Niches and Predicting Geographic Distributions”, conceived of and led by Peterson and Moritz.

    Number of times cited according to CrossRef: 3559

    • , Mapping benthic biodiversity using georeferenced environmental data and predictive modeling, Marine Biodiversity, 10.1007/s12526-017-0765-5, 49, 1, (131-146), (2017).
    • , The influence of climatic changes on distribution pattern of six typical Kobresia species in Tibetan Plateau based on MaxEnt model and geographic information system, Theoretical and Applied Climatology, 10.1007/s00704-018-2373-0, 135, 1-2, (375-390), (2018).
    • , Modelling the spatial baseline for amphibian conservation in West Africa, Acta Oecologica, 10.1016/j.actao.2017.11.018, 94, (31-40), (2019).
    • , Why less complexity produces better forecasts: an independent data evaluation of kelp habitat models, Ecography, 42, 3, (428-443), (2018).
    • , Can we generate robust species distribution models at the scale of the Southern Ocean?, Diversity and Distributions, 25, 1, (21-37), (2018).
    • , A comparison of joint species distribution models for presence–absence data, Methods in Ecology and Evolution, 10, 2, (198-211), (2018).
    • , Comprehensiveness of conservation of useful wild plants: An operational indicator for biodiversity and sustainable development targets, Ecological Indicators, 10.1016/j.ecolind.2018.11.016, 98, (420-429), (2019).
    • , Ensemble habitat suitability modeling of vulnerable marine ecosystem indicator taxa to inform deep-sea fisheries management in the South Pacific Ocean, Fisheries Research, 10.1016/j.fishres.2018.11.020, 211, (256-274), (2019).
    • , Inferring the biogeography and demographic history of an endangered butterfly in Europe from multilocus markers, Biological Journal of the Linnean Society, 10.1093/biolinnean/bly160, 126, 1, (95-113), (2018).
    • , The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo‐absences or background sites, Ecography, 42, 3, (535-548), (2018).
    • , Assessing niche overlap between domestic and threatened wild sheep to identify conservation priority areas, Diversity and Distributions, 25, 1, (129-141), (2018).
    • , Knowledge to decision in dynamic seas: Methods to incorporate non-indigenous species into cumulative impact assessments for maritime spatial planning, Science of The Total Environment, 10.1016/j.scitotenv.2018.12.123, 658, (1452-1464), (2019).
    • , Distribution of pelagic and epi-benthic fish around a multi-module artificial reef-field: Close module spacing supports a connected assemblage, Fisheries Research, 10.1016/j.fishres.2018.09.020, 209, (75-85), (2019).
    • , An uncertain future for the endemic Galliformes of the Caucasus, Science of The Total Environment, 10.1016/j.scitotenv.2018.09.227, 651, (725-735), (2019).
    • , Ecological Data Exploration, Advanced Metaheuristic Methods in Big Data Retrieval and Analytics, 10.4018/978-1-5225-7338-8.ch002, (27-62)
    • , Cuckoos: The holy grail of avian biodiversity conservation?, Ecological Indicators, 10.1016/j.ecolind.2018.10.007, 97, (59-66), (2019).
    • , Identifying high-priority conservation areas for avian biodiversity using species distribution modeling, Ecological Indicators, 10.1016/j.ecolind.2018.10.003, 97, (159-164), (2019).
    • , Standards for distribution models in biodiversity assessments, Science Advances, 10.1126/sciadv.aat4858, 5, 1, (eaat4858), (2019).
    • , An evaluation of transferability of ecological niche models, Ecography, 42, 3, (521-534), (2018).
    • , A spatially explicit approach to prioritize protection areas for endangered freshwater mussels, Aquatic Conservation: Marine and Freshwater Ecosystems, 29, 1, (12-23), (2018).
    • , Risks of Biological Invasion on the Belt and Road, Current Biology, 10.1016/j.cub.2018.12.036, (2019).
    • , Making choices that matter – Use of statistical regularization in species distribution modelling for identification of climatic indicators – A case study with Mikania micrantha Kunth in India, Ecological Indicators, 10.1016/j.ecolind.2018.10.036, 98, (92-103), (2019).
    • , The recent past and promising future for data integration methods to estimate species’ distributions, Methods in Ecology and Evolution, 10, 1, (22-37), (2019).
    • , Evaluating ecological niche model accuracy in predicting biotic invasions using South Florida's exotic lizard community, Journal of Biogeography, 46, 2, (432-441), (2019).
    • , Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data, Ecography, 42, 3, (511-520), (2018).
    • , Incorporating species population dynamics into static prioritization: Targeting species undergoing rapid change, Journal of Applied Ecology, 56, 2, (450-458), (2018).
    • , Clinical Effects of Polymyxin B Hemoperfusion in Patients With Septic Shock Caused by Urinary Tract Infection, Therapeutic Apheresis and Dialysis, 23, 1, (80-85), (2018).
    • , Evolutionary algorithms for species distribution modelling: A review in the context of machine learning, Ecological Modelling, 10.1016/j.ecolmodel.2018.11.013, 392, (179-195), (2019).
    • , Current and predicted future distributions of wallabies in mainland New Zealand, New Zealand Journal of Zoology, 10.1080/03014223.2018.1470540, 46, 1, (31-47), (2018).
    • , Protecting rare and endangered species under climate change on the Qinghai Plateau, China, Ecology and Evolution, 9, 1, (427-436), (2018).
    • , Combined Effects of Global Climate Suitability and Regional Environmental Variables on the Distribution of an Invasive Marsh Species Spartina alterniflora, Estuaries and Coasts, 10.1007/s12237-018-0447-y, 42, 1, (99-111), (2018).
    • , Extensive range contraction predicted under climate warming for a gliding mammal in north-eastern Australia, Australian Mammalogy, 10.1071/AM16062, 41, 1, (99), (2019).
    • , Incorporation of optimal environmental signals in the prediction of fish recruitment using random forest algorithms, Canadian Journal of Fisheries and Aquatic Sciences, 10.1139/cjfas-2017-0554, 76, 1, (15-27), (2019).
    • , Out of Africa: demographic and colonization history of the Algerian mouse (Mus spretus Lataste), Heredity, 10.1038/s41437-018-0089-7, 122, 2, (150-171), (2018).
    • , Remotely sensed agricultural grassland productivity responses to land use and hydro-climatic drivers under extreme drought and rainfall, Agricultural and Forest Meteorology, 10.1016/j.agrformet.2019.01.007, 268, (11-22), (2019).
    • , Incorporating temperature and precipitation extremes into process-based models of African lepidoptera changes the predicted distribution under climate change, Ecological Modelling, 10.1016/j.ecolmodel.2018.12.017, 394, (53-65), (2019).
    • , Potential eco-distribution mapping of Myrica esculenta in northwestern Himalayas, Ecological Engineering, 10.1016/j.ecoleng.2019.01.003, 128, (98-111), (2019).
    • , Forthcoming risk of Prosopis juliflora global invasion triggered by climate change: implications for environmental monitoring and risk assessment, Environmental Monitoring and Assessment, 10.1007/s10661-018-7154-9, 191, 2, (2019).
    • , Skate egg nursery habitat in the eastern Bering Sea: a predictive model, Marine Ecology Progress Series, 10.3354/meps12809, 609, (163-178), (2019).
    • , Contrasting climate risks predicted by dynamic vegetation and ecological niche-based models applied to tree species in the Brazilian Atlantic Forest, Regional Environmental Change, 10.1007/s10113-018-1405-8, 19, 1, (219-232), (2018).
    • , Potential marginal land resources of cassava worldwide: A data-driven analysis, Renewable and Sustainable Energy Reviews, 10.1016/j.rser.2019.01.024, 104, (167-173), (2019).
    • , Identifying corridors for landscape connectivity using species distribution modeling of Hydnocarpus kurzii (King) Warb., a threatened species of the Indo-Burma Biodiversity Hotspot, Landscape and Ecological Engineering, 10.1007/s11355-018-0353-2, 15, 1, (13-23), (2018).
    • , Moderators of the Motivational Effects of Performance Management: A Comprehensive Exploration Based on Expectancy Theory, Public Personnel Management, 10.1177/0091026018783003, 48, 1, (27-55), (2018).
    • , Living on the edge: Exploring the role of coastal refugia in the Alexander Archipelago of Alaska, Ecology and Evolution, 9, 4, (1777-1797), (2019).
    • , In search of Aliens: Factors influencing the distribution of Chromolaena odorata L. and Mikania micrantha Kunth in the Terai grasslands of Manas National Park, India, Ecological Engineering, 10.1016/j.ecoleng.2019.02.012, 131, (16-26), (2019).
    • , Different environmental drivers of alien tree invasion affect different life-stages and operate at different spatial scales, Forest Ecology and Management, 10.1016/j.foreco.2018.10.065, 433, (263-275), (2019).
    • , Habitat Suitability Mapping of Artemisia aucheri Boiss Based on the GLM Model in R, Spatial Modeling in GIS and R for Earth and Environmental Sciences, 10.1016/B978-0-12-815226-3.00009-0, (213-227), (2019).
    • , Modeling the present and future distribution of arbovirus vectors Aedes aegypti and Aedes albopictus under climate change scenarios in Mainland China, Science of The Total Environment, 10.1016/j.scitotenv.2019.01.301, 664, (203-214), (2019).
    • , Fine-scale oceanographic features characterizing successful Adélie penguin foraging in the SW Ross Sea, Marine Ecology Progress Series, 10.3354/meps12801, 608, (263-277), (2019).
    • , Ecological specialization of lichen congeners with a strong link to Mediterranean-type climate: a case study of the genus Solenopsora in the Apennine Peninsula, The Lichenologist, 10.1017/S0024282918000543, 51, 01, (75-88), (2019).
    • , Phylogeography of plastid DNA sequences suggests post-glacial southward demographic expansion and the existence of several glacial refugia for Araucaria angustifolia, Scientific Reports, 10.1038/s41598-019-39308-w, 9, 1, (2019).
    • , Climate change effects on species of Bovidae family in Iran, Environmental Earth Sciences, 10.1007/s12665-019-8192-5, 78, 6, (2019).
    • , Potential Effects of Future Climate Changes on Brazilian Cool-Adapted Stoneflies (Insecta: Plecoptera), Neotropical Entomology, 10.1007/s13744-018-0621-8, 48, 1, (57-70), (2018).
    • , Distribution of the elusive and threatened Brazilian dwarf brocket deer refined by non-invasive genetic sampling and distribution modelling, European Journal of Wildlife Research, 10.1007/s10344-019-1258-6, 65, 2, (2019).
    • , Desert locust detection using Earth observation satellite data in Mauritania, Journal of Arid Environments, 10.1016/j.jaridenv.2019.02.005, (2019).
    • , Conservation planning at the intersection of landscape and climate change: brook trout in the Chesapeake Bay watershed, Ecosphere, 10, 2, (2019).
    • , Quantifying net water consumption of Norwegian hydropower reservoirs and related aquatic biodiversity impacts in Life Cycle Assessment, Environmental Impact Assessment Review, 10.1016/j.eiar.2018.12.002, 76, (36-46), (2019).
    • , Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping, CATENA, 10.1016/j.catena.2018.12.035, 176, (45-64), (2019).
    • , Distribution and richness of amphibians under different climate change scenarios in a subtropical region of South America, Applied Geography, 10.1016/j.apgeog.2019.01.003, 103, (70-89), (2019).
    • , Neottia cordata (Orchidaceae) at its southernmost distribution border in Europe: threat status and effectiveness of Natura 2000 Network for its conservation, Journal for Nature Conservation, 10.1016/j.jnc.2019.01.006, (2019).
    • , The WIG (weighted individual and group) shrinkage estimator, Journal of the Experimental Analysis of Behavior, 111, 2, (166-182), (2019).
    • , SWATCH21: A project for linking eco-hydrologic processes and services to aquatic biodiversity at river and catchment levels, Ecohydrology & Hydrobiology, 10.1016/j.ecohyd.2019.01.003, (2019).
    • , Effects of simulated observation errors on the performance of species distribution models, Diversity and Distributions, 25, 3, (400-413), (2018).
    • , Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study, Climate Dynamics, 10.1007/s00382-018-4200-9, 52, 3-4, (1413-1423), (2018).
    • , Species distribution modelling and seed germination of four threatened snow lotus (Saussurea), and their implication for conservation, Global Ecology and Conservation, 10.1016/j.gecco.2019.e00565, (e00565), (2019).
    • , Cats under cover: Habitat models indicate a high dependency on woodlands by Atlantic Forest felids, Biotropica, 51, 2, (266-278), (2019).
    • , High probability areas for ASF infection in China along the Russian and Korean borders, Transboundary and Emerging Diseases, 66, 2, (852-864), (2019).
    • , Endangered species management and climate change: When habitat conservation becomes a moving target, Wildlife Society Bulletin, 43, 1, (11-20), (2019).
    • , Detecting outliers in species distribution data, Journal of Biogeography, 45, 1, (164-176), (2017).
    • , Hypervolume concepts in niche‐ and trait‐based ecology, Ecography, 41, 9, (1441-1455), (2017).
    • , In search of relevant predictors for marine species distribution modelling using the MarineSPEED benchmark dataset, Diversity and Distributions, 24, 2, (144-157), (2017).
    • , Applying species distribution models to caves and other subterranean habitats, Ecography, 41, 7, (1194-1208), (2017).
    • , Ensemble species distribution modelling with transformed suitability values, Environmental Modelling & Software, 10.1016/j.envsoft.2017.11.009, 100, (136-145), (2018).
    • , Disentangling morphologically similar species of the Andean forest: integrating results from multivariate morphometric analyses, niche modelling and climatic space comparison in Kaunia (Eupatorieae: Asteraceae), Botanical Journal of the Linnean Society, 186, 2, (259), (2018).
    • , Forest cover and level of protection influence the island-wide distribution of an apex carnivore and umbrella species, the Sri Lankan leopard (Panthera pardus kotiya), Biodiversity and Conservation, 27, 1, (235), (2018).
    • , Pythiopina, an enigmatic subtribe of darkling beetles (Coleoptera: Tenebrionidae: Pedinini): taxonomic revision, microtomography, ecological niche models and phylogenetic position, Systematic Entomology, 43, 1, (147-165), (2017).
    • , Evaluation and Prediction of Ecological Suitability of Medicinal Plant American Ginseng ( Panax quinquefolius ), Chinese Herbal Medicines, (2018).
    • , Optimization of forest sampling strategies for woody plant species distribution modelling at the landscape scale, Forest Ecology and Management, 10.1016/j.foreco.2017.12.046, 410, (104-113), (2018).
    • , Reconstructing geographical parthenogenesis: effects of niche differentiation and reproductive mode on Holocene range expansion of an alpine plant, Ecology Letters, 21, 3, (392-401), (2018).
    • , Parallel diversifications of Cremastosperma and Mosannona (Annonaceae), tropical rainforest trees tracking Neogene upheaval of South America , Royal Society Open Science, 10.1098/rsos.171561, 5, 1, (171561), (2018).
    • , Digital footprints: Incorporating crowdsourced geographic information for protected area management, Applied Geography, 90, (44), (2018).
    • , Inferring climatic controls of rice stem borers’ spatial distributions using maximum entropy modelling, Journal of Applied Entomology, 142, 4, (388-396), (2018).
    • , Rangewide determinants of population performance in Prunus lusitanica : Lessons for the contemporary conservation of a Tertiary relict tree, Acta Oecologica, 86, (42), (2018).
    • , The challenge of modeling niches and distributions for data‐poor species: a comprehensive approach to model complexity, Ecography, 41, 5, (726-736), (2017).
    • , Creating individual accessible area hypotheses improves stacked species distribution model performance, Global Ecology and Biogeography, 27, 1, (156-165), (2017).
    • , Knowledge Discovery and Data Mining, Integration of Omics Approaches and Systems Biology for Clinical Applications, (233-247), (2018).
    • , Local conditions affecting current and potential distribution of the invasive round goby – Species distribution modelling with spatial constraints, Estuarine, Coastal and Shelf Science, 10.1016/j.ecss.2017.10.005, 207, (359-367), (2018).
    • , Simulating the potential distribution of Elaeagnus angustifolia L. based on climatic constraints in China, Ecological Engineering, 10.1016/j.ecoleng.2018.01.009, 113, (27-34), (2018).
    • , A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS, Theoretical and Applied Climatology, 131, 3-4, (967), (2018).
    • , Niche centrality and human influence predict rangewide variation in population abundance of a widespread mammal: The collared peccary (Pecari tajacu), Diversity and Distributions, 24, 1, (103-115), (2017).
    • , Using geomorphological variables to predict the spatial distribution of plant species in agricultural drainage networks, PLOS ONE, 13, 1, (e0191397), (2018).
    • , The influence of climate change on an endangered riparian plant species: The root of riparian Homonoia, Ecological Indicators, 10.1016/j.ecolind.2017.05.004, 92, (40-50), (2018).
    • , Species Distribution Modelling: Contrasting presence-only models with plot abundance data, Scientific Reports, 10.1038/s41598-017-18927-1, 8, 1, (2018).
    • , Multi-scale habitat selection by two declining East Asian waterfowl species at their core spring stopover area, Ecological Indicators, 87, (127), (2018).
    • , From species distributions to climate change adaptation: Knowledge gaps in managing invertebrate pests in broad-acre grain crops, Agriculture, Ecosystems & Environment, 253, (208), (2018).
    • , Forest Background, Comprehensive Remote Sensing, 10.1016/B978-0-12-409548-9.10523-8, (78-103), (2018).
    • , Discretizing environmental data for learning Bayesian-network classifiers, Ecological Modelling, 368, (391), (2018).
    • , Climate change may drive cave spiders to extinction, Ecography, 41, 1, (233-243), (2017).
    • , The critical role of local refugia in postglacial colonization of Chinese pine: joint inferences from DNA analyses, pollen records, and species distribution modeling, Ecography, 41, 4, (592-606), (2017).
    • , Predicting where species could go: climate is more important than dispersal for explaining the distribution of a South American turtle, Hydrobiologia, 10.1007/s10750-017-3436-4, 808, 1, (343-352), (2017).
    • , Global estimation of areas with suitable environmental conditions for mariculture species, PLOS ONE, 13, 1, (e0191086), (2018).
    • , A heuristic‐based approach to mitigating positional errors in patrol data for species distribution modeling, Transactions in GIS, 22, 1, (202-216), (2017).
    • , Land availability may be more important than genetic diversity in the range shift response of a widely distributed eucalypt, Eucalyptus melliodora, Forest Ecology and Management, 10.1016/j.foreco.2017.10.024, 409, (38-46), (2018).
    • , Effects of sediments and coloured dissolved organic matter on remote sensing of chlorophyll- a using Landsat TM/ETM+ over turbid waters , International Journal of Remote Sensing, 10.1080/01431161.2017.1404164, 39, 5, (1421-1440), (2017).
    • , Ecological suitability modeling for anthrax in the Kruger National Park, South Africa, PLOS ONE, 13, 1, (e0191704), (2018).
    • , Modelling species responses to extreme weather provides new insights into constraints on range and likely climate change impacts for Australian mammals, Ecography, 41, 2, (308-320), (2017).
    • , Migration behaviour and escapement of European silver eels from a large lake and wetland system subject to water level management (Grand‐Lieu Lake, France): New insights from regulated acoustic telemetry data, Ecology of Freshwater Fish, 27, 2, (570-579), (2017).
    • , Population estimate of Trindade Petrel Pterodroma arminjoniana by the use of Predictive Nest Habitat Modelling, Bird Conservation International, 10.1017/S0959270916000289, 28, 02, (197-207), (2017).
    • , Contribution of spatially explicit models to climate change adaptation and mitigation plans for a priority forest habitat, Mitigation and Adaptation Strategies for Global Change, 10.1007/s11027-017-9738-z, 23, 3, (371-386), (2017).
    • , Multispecies assessment of core areas and connectivity of desert carnivores in central Iran, Diversity and Distributions, 24, 2, (193-207), (2017).
    • , The invasive potential of tilapias (Osteichthyes, Cichlidae) in the Americas, Hydrobiologia, 10.1007/s10750-017-3471-1, 817, 1, (133-154), (2017).
    • , Biomass HotSpot distribution model and spatial interaction of two exploited species of horse mackerel in the south-central Mediterranean Sea, Hydrobiologia, 10.1007/s10750-017-3336-7, 821, 1, (135-150), (2017).
    • , Mountain metacommunities: climate and spatial connectivity shape ant diversity in a complex landscape, Ecography, 41, 1, (101-112), (2017).
    • , Validation of deep-sea coral and sponge distribution models in the Aleutian Islands, Alaska, ICES Journal of Marine Science, 75, 1, (199), (2018).
    • , MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran, Ecological Informatics, 10.1016/j.ecoinf.2017.10.002, 43, (116-123), (2018).
    • , Conservation of the endemic species of the Albertine Rift under future climate change, Biological Conservation, 10.1016/j.biocon.2018.02.001, 220, (67-75), (2018).
    • , Farmland – an Elephant in the Room of Urban Green Infrastructure? Lessons learned from connectivity analysis in three German cities, Ecological Indicators, 10.1016/j.ecolind.2017.06.055, 94, (151-163), (2018).
    • , Assessment and prioritisation of plant species at risk from myrtle rust ( Austropuccinia psidii ) under current and future climates in Australia, Biological Conservation, 218, (154), (2018).
    • , Mapping potential habitats for the management of exportable insects in South Korea, Journal of Asia-Pacific Biodiversity, 10.1016/j.japb.2017.12.002, 11, 1, (11-20), (2018).
    • , The effects of spatial survey bias and habitat suitability on predicting the distribution of threatened species living in remote areas, Bird Conservation International, 10.1017/S0959270917000144, 28, 4, (581-592), (2017).
    • , Environmental and socioeconomic factors of abandonment of rainfed and irrigated crops in northeast Spain, Applied Geography, 10.1016/j.apgeog.2017.12.005, 90, (155-174), (2018).
    • , Potential areas for conservation of useful flora of the Tehuacán-Cuicatlán Valley, Mexico, Genetic Resources and Crop Evolution, 65, 1, (343), (2018).
    • , New approaches for delineating n‐dimensional hypervolumes, Methods in Ecology and Evolution, 9, 2, (305-319), (2017).
    • , The role of climatic cycles and trans-Saharan migration corridors in species diversification: Biogeography of Psammophis schokari group in North Africa, Molecular Phylogenetics and Evolution, 118, (64), (2018).
    • , Reynoutria niche modelling and protected area prioritization for restoration and protection from invasion: A Southeastern Europe case study, Journal for Nature Conservation, 41, (1), (2018).
    • , Evaluating the conservation status of the Black-fronted Francolin Pternistis atrifrons , Bird Conservation International, 10.1017/S0959270917000363, 28, 4, (653-661), (2017).
    • , Climate change as a driver of biotic homogenization of woody plants in the Atlantic Forest, Global Ecology and Biogeography, 27, 3, (298-309), (2017).
    • , Incorporating biotic interactions in the distribution models of African wild silk moths (Gonometa species, Lasiocampidae) using different representations of modelled host tree distributions, Austral Ecology, 43, 3, (316-327), (2017).
    • , Morpho-environmental strategies in the genus Ononis L. (subsections Natrix and Viscosae) in Western Mediterranean, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 152, 1, (14), (2018).
    • , Current and future effectiveness of the Natura 2000 network for protecting plant species in Sardinia: a nice and complex strategy in its raw state?, Journal of Environmental Planning and Management, 61, 2, (332), (2018).
    • , Ecological niche modelling of pedunculate oak (Quercus robur) supports the ‘expansion–contraction’ model of Pleistocene biogeography, Biological Journal of the Linnean Society, 123, 2, (338), (2018).
    • , Multiresponse algorithms for community‐level modelling: Review of theory, applications, and comparison to species distribution models, Methods in Ecology and Evolution, 9, 4, (834-848), (2017).
    • , Biogeography and priority areas for the conservation of bats in the Brazilian Cerrado, Biodiversity and Conservation, 10.1007/s10531-017-1464-z, 27, 4, (815-828), (2017).
    • , Forecasting the combined effects of climate and land use change on Mexican bats, Diversity and Distributions, 24, 3, (363-374), (2017).
    • , Snub-nosed monkeys (Rhinopithecus): potential distribution and its implication for conservation, Biodiversity and Conservation, (2018).
    • , Quantifying the climatic niche of symbiont partners in a lichen symbiosis indicates mutualist‐mediated niche expansions, Ecography, 41, 8, (1380-1392), (2017).
    • , Niche modelling of marsh plants based on occurrence and abundance data, Science of The Total Environment, 10.1016/j.scitotenv.2017.10.300, 616-617, (198-207), (2018).
    • , Predicting ecological responses in a changing ocean: the effects of future climate uncertainty, Marine Biology, 10.1007/s00227-017-3239-1, 165, 1, (2017).
    • , Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena, Transactions in GIS, 22, 1, (149-164), (2017).
    • , Ecological and physiological thermal niches to understand distribution of Chagas disease vectors in Latin America, Medical and Veterinary Entomology, 32, 1, (1-13), (2017).
    • , Surveillance of porcine reproductive and respiratory syndrome virus in the United States using risk mapping and species distribution modeling, Preventive Veterinary Medicine, 150, (135), (2018).
    • , Incorporating climate change into recovery planning for threatened vertebrate species in southwestern Australia, Biodiversity and Conservation, 27, 1, (147), (2018).
    • , Diversity in thermal affinity among key piscivores buffers impacts of ocean warming on predator–prey interactions, Global Change Biology, 24, 1, (117-131), (2017).
    • , Niche dynamics of two cryptic Prosopis invading South American drylands, Biological Invasions, 20, 1, (181), (2018).
    • , Achilles heel of a powerful invader: restrictions on distribution and disappearance of feral pigs from a protected area in Northern Pantanal, Western Brazil, PeerJ, 6, (e4200), (2018).
    • , Phylogeography and ecological niche modeling unravel the evolutionary history of the African green toad, Bufotes boulengeri boulengeri (Amphibia: Bufonidae), through the Quaternary, Journal of Zoological Systematics and Evolutionary Research, 56, 1, (102-116), (2017).
    • , Genetic diversity of the myrtle rust pathogen (Austropuccinia psidii) in the Americas and Hawaii: Global implications for invasive threat assessments, Forest Pathology, 48, 1, (2017).
    • , Modelling the spatial distribution of snake species in northwestern Tunisia using maximum entropy (Maxent) and Geographic Information System (GIS), Journal of Forestry Research, 29, 1, (233), (2018).
    • , Identifying in situ climate refugia for plant species, Ecography, 41, 11, (1850-1863), (2018).
    • , Species occurrence data reflect the magnitude of animal movements better than the proximity of animal space use, Ecosphere, 9, 2, (2018).
    • , Modelling the distribution and compositional variation of plant communities at the continental scale, Diversity and Distributions, 24, 7, (978-990), (2018).
    • , Habitat suitability modeling in different sperm whale social groups, The Journal of Wildlife Management, 82, 5, (1062-1073), (2018).
    • , Multiple Pleistocene refugia and repeated phylogeographic breaks in the southern Caspian Sea region: Insights from the freshwater crab Potamon ibericum, Journal of Biogeography, 45, 6, (1234-1245), (2018).
    • , Areas of high conservation value at risk by plant invaders in Georgia under climate change, Ecology and Evolution, 8, 9, (4431-4442), (2018).
    • , Contrasting climate niches among co‐occurring subdominant forbs of the sagebrush steppe, Diversity and Distributions, 24, 9, (1291-1307), (2018).
    • , Niche similarities among introduced and native mountain ungulates, Ecological Applications, 28, 5, (1131-1142), (2018).
    • , Secondary contact, gene flow and clinal variation between two mtDNA lineages of the Northeastern ringneck snake Diadophis punctatus edwardsii (Colubroidea: Dipsadidae), Zoological Journal of the Linnean Society, 182, 2, (444), (2018).
    • , Multiple stressors facilitate the spread of a non‐indigenous bivalve in the Mediterranean Sea, Journal of Biogeography, 45, 5, (1090-1103), (2018).
    • , Enhancing the WorldClim data set for national and regional applications, Science of The Total Environment, 10.1016/j.scitotenv.2017.12.258, 625, (1628-1643), (2018).
    • , Distribution of a giant panda population influenced by land cover, The Journal of Wildlife Management, 82, 6, (1199-1209), (2018).
    • , Habitat assessment of Marco Polo sheep (Ovis ammon polii) in Eastern Tajikistan: Modeling the effects of climate change, Ecology and Evolution, 8, 10, (5124-5138), (2018).
    • , The zoon r package for reproducible and shareable species distribution modelling, Methods in Ecology and Evolution, 9, 2, (260-268), (2017).
    • , Shifts in plant distributions in response to climate warming in a biodiversity hotspot, the Hengduan Mountains, Journal of Biogeography, 45, 6, (1334-1344), (2018).
    • , Dynamic species distribution models reveal spatiotemporal habitat shifts in native range‐expanding versus non‐native invasive birds in an urban area, Journal of Avian Biology, 49, 4, (2018).
    • , Ecological niche modeling re‐examined: A case study with the Darwin's fox, Ecology and Evolution, 8, 10, (4757-4770), (2018).
    • , Impacts of future climate and land cover changes on threatened mammals in the semi-arid Chinese Altai Mountains, Science of The Total Environment, 10.1016/j.scitotenv.2017.08.191, 612, (775-787), (2018).
    • , Transferring biodiversity models for conservation: Opportunities and challenges, Methods in Ecology and Evolution, 9, 5, (1250-1264), (2018).
    • , Effect of climate change in lizards of the genus Xenosaurus (Xenosauridae) based on projected changes in climatic suitability and climatic niche conservatism, Ecology and Evolution, 8, 14, (6860-6871), (2018).
    • , Alpine glacial relict species losing out to climate change: The case of the fragmented mountain hare population (Lepus timidus) in the Alps, Global Change Biology, 24, 7, (3236-3253), (2018).
    • , Finding the right fit: Comparative cetacean distribution models using multiple data sources and statistical approaches, Diversity and Distributions, 24, 11, (1657-1673), (2018).
    • , Future vulnerability mapping based on response to extreme climate events: Dieback thresholds in an endemic California oak, Diversity and Distributions, 24, 9, (1186-1198), (2018).
    • , Remotely sensed agricultural modification improves prediction of suitable habitat for a threatened lizard, International Journal of Geographical Information Science, (1), (2018).
    • , How to best threshold and validate stacked species assemblages? Community optimisation might hold the answer, Methods in Ecology and Evolution, 9, 10, (2155-2166), (2018).
    • , Using biotic interactions in broad‐scale estimates of species’ distributions, Journal of Biogeography, 45, 9, (2216-2225), (2018).
    • , Expected impacts of climate change threaten the anuran diversity in the Brazilian hotspots, Ecology and Evolution, 8, 16, (7894-7906), (2018).
    • , Benthic species of the Kerguelen Plateau show contrasting distribution shifts in response to environmental changes, Ecology and Evolution, 8, 12, (6210-6225), (2018).
    • , Using niche conservatism information to prioritize hotspots of invasion by non‐native freshwater invertebrates in New Zealand, Diversity and Distributions, 24, 12, (1802-1815), (2018).
    • , Management implications for the reintroduction of the endangered Hawaiian state flower , Restoration Ecology, 26, 3, (516-524), (2017).
    • , Plant biodiversity patterns along a climatic gradient and across protected areas in West Africa, African Journal of Ecology, 56, 3, (641-652), (2018).
    • , The risk to Myrtaceae of Austropuccinia psidii, myrtle rust, in Mexico, Forest Pathology, 48, 4, (2018).
    • , Examining the interglacial high‐elevation refugia scenario in East Asian subtropical mountain systems with the frog species Leptobrachium liui, Ecology and Evolution, 8, 18, (9326-9340), (2018).
    • , Using remote sensing to model tree species distribution in Peruvian lowland Amazonia, Biotropica, 50, 5, (758-767), (2018).
    • , Patterns of occurrence of dengue and chikungunya, and spatial distribution of mosquito vector Aedes albopictus in Swabi district, Pakistan, Tropical Medicine & International Health, 23, 9, (1002-1013), (2018).
    • , Estimating environmental suitability, Ecosphere, 9, 9, (2018).
    • , Misleading prioritizations from modelling range shifts under climate change, Global Ecology and Biogeography, 27, 6, (658-666), (2018).
    • , Usutu virus induced mass mortalities of songbirds in Central Europe: Are habitat models suitable to predict dead birds in unsampled regions?, Preventive Veterinary Medicine, 10.1016/j.prevetmed.2018.09.013, 159, (162-170), (2018).
    • , Complex influence of climate on the distribution and body size of an Alpine species, Insect Conservation and Diversity, 11, 5, (435-448), (2018).
    • , Climate versus weather extremes: Temporal predictor resolution matters for future rather than current regional species distribution models, Diversity and Distributions, 24, 8, (1047-1060), (2018).
    • , Effects of environmental data temporal resolution on the performance of species distribution models, Journal of Marine Systems, 10.1016/j.jmarsys.2018.10.001, (2018).
    • , MaxEnt modeling of soil-transmitted helminth infection distributions in Thailand, Parasitology Research, 10.1007/s00436-018-6048-7, 117, 11, (3507-3517), (2018).
    • , Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling, Ecology and Evolution, 8, 21, (10542-10554), (2018).
    • , Factors influencing the establishment and growth of tree seedlings at Subarctic alpine treelines, Ecosphere, 9, 4, (2018).
    • , An integrated, spatio‐temporal modelling framework for analysing biological invasions, Diversity and Distributions, 24, 5, (652-665), (2018).
    • , Island biogeography and ecological modeling of the amblypygid Phrynus marginemaculatus in the Florida Keys archipelago, Ecology and Evolution, 8, 18, (9139-9151), (2018).
    • , Rapid shifts in distribution and high‐latitude persistence of oceanographic habitat revealed using citizen science data from a climate change hotspot, Global Change Biology, 24, 11, (5440-5453), (2018).
    • , Range expansion and redefinition of a crop-raiding rodent associated with global warming and temperature increase, Climatic Change, 10.1007/s10584-018-2261-8, 150, 3-4, (319-331), (2018).
    • , Using Gradient Forests to summarize patterns in species turnover across large spatial scales and inform conservation planning, Diversity and Distributions, 24, 11, (1641-1656), (2018).
    • , Distribution shifts of marine taxa in the Pacific Arctic under contemporary climate changes, Diversity and Distributions, 24, 11, (1583-1597), (2018).
    • , Host plant distributions and climate interact to affect the predicted geographic distribution of a Neotropical termite, Biotropica, 50, 4, (625-632), (2018).
    • , Insights from modeling studies on how climate change affects invasive alien species geography, Ecology and Evolution, 8, 11, (5688-5700), (2018).
    • , Priority areas for conservation within four freshwater ecoregions in South America: A scale perspective based on freshwater crabs (Anomura, Aeglidae), Aquatic Conservation: Marine and Freshwater Ecosystems, 28, 5, (1077-1088), (2018).
    • , A new method for correcting locational error from aerial surveys improves habitat model performance, African Journal of Ecology, 56, 4, (928-937), (2018).
    • , Predicting estuarine faunal assemblages using enduring environmental surrogates, with applications in systematic conservation planning, Ocean & Coastal Management, 10.1016/j.ocecoaman.2018.08.007, 165, (80-98), (2018).
    • , Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_2, (27-61), (2018).
    • , Why understanding the pioneering and continuing contributions of BIOCLIM to species distribution modelling is important, Austral Ecology, 43, 8, (852-860), (2018).
    • , Improved spatial model for Amazonian deforestation: An empirical assessment and spatial bias analysis, Ecological Modelling, 10.1016/j.ecolmodel.2018.08.015, 387, (1-9), (2018).
    • , Species distribution models and empirical test: Comparing predictions with well‐understood geographical distribution of Bothrops alternatus in Argentina, Ecology and Evolution, 8, 21, (10497-10509), (2018).
    • , Modeling Avian Distributions and Niches: Insights into Invasions and Speciation in Birds, Bird Species, 10.1007/978-3-319-91689-7_9, (147-164), (2018).
    • , Major challenges for correlational ecological niche model projections to future climate conditions, Annals of the New York Academy of Sciences, 1429, 1, (66-77), (2018).
    • , Predicting impacts of climate variability on habitats of Hippophae salicifolia (D. Don) (Seabuckthorn) in Central Himalayas: Future challenges, Ecological Informatics, 10.1016/j.ecoinf.2018.09.003, 48, (135-146), (2018).
    • , Deciphering the drivers of negative species–genetic diversity correlation in Alpine amphibians, Molecular Ecology, 27, 23, (4916-4930), (2018).
    • , Range shifts in response to past and future climate change: Can climate velocities and species’ dispersal capabilities explain variation in mammalian range shifts?, Journal of Biogeography, 45, 9, (2175-2189), (2018).
    • , Where to start? Development of a spatial tool to prioritise retrofitting of power line poles that are dangerous to raptors, Journal of Applied Ecology, 55, 6, (2685-2697), (2018).
    • , Modelling the distribution of the vector Aedes aegypti in a central Argentine city, Medical and Veterinary Entomology, 32, 4, (451-461), (2018).
    • , Novel ecological and climatic conditions drive rapid adaptation in invasive Florida Burmese pythons, Molecular Ecology, 27, 23, (4744-4757), (2018).
    • , A review of macroinvertebrate‐ and fish‐based stream health modelling techniques, Ecohydrology, 11, 8, (2018).
    • , Revisiting niche fundamentals with Tukey depth, Methods in Ecology and Evolution, 9, 12, (2349-2361), (2018).
    • , Silver eel downstream migration in the River Rhine, route choice, and its impacts on escapement: A 6-year telemetry study in a highly anthropized system, Ecological Engineering, 10.1016/j.ecoleng.2018.09.002, 123, (202-211), (2018).
    • , Varying dataset resolution alters predictive accuracy of spatially explicit ensemble models for avian species distribution, Ecology and Evolution, 8, 24, (12867-12878), (2018).
    • , The use of GIS-modeling for the analysis of the distribution of three-lined lizard, Lacerta media Lantz et Cyren, 1920, in the territory of Dagestan (Russia), Proceedings of the Zoological Institute RAS, 10.31610/trudyzin/2018.322.4.463, 322, 4, (463-480), (2018).
    • , The effect of pseudo-absence selection method on transferability of species distribution models in the context of non-adaptive niche shift, Ecological Modelling, 10.1016/j.ecolmodel.2018.09.018, 388, (1-9), (2018).
    • , Using Ecological Modelling Tools to Inform Policy Makers of Potential Changes in Crop Distribution: An Example with Cacao Crops in Latin America, Economic Tools and Methods for the Analysis of Global Change Impacts on Agriculture and Food Security, 10.1007/978-3-319-99462-8_2, (11-23), (2019).
    • , Modeling the potential habitats of dusky, commons and bottlenose dolphins in the Humboldt Current System off Peru: The influence of non-El Niño vs. El Niño 1997-98 conditions and potential prey availability, Progress in Oceanography, 10.1016/j.pocean.2018.09.003, 168, (169-181), (2018).
    • , Expansion of the range of Necromys lasiurus (Lund, 1841) into open areas of the Atlantic Forest biome in Rio de Janeiro state, Brazil, and the role of the species as a host of the hantavirus, Acta Tropica, 10.1016/j.actatropica.2018.08.026, 188, (195-205), (2018).
    • , Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture, Journal of Applied Remote Sensing, 10.1117/1.JRS.12.036011, 12, 03, (1), (2018).
    • , UBXN2A enhances CHIP‐mediated proteasomal degradation of oncoprotein mortalin‐2 in cancer cells, Molecular Oncology, 12, 10, (1753-1777), (2018).
    • , ER stress‐related ATF6 upregulates CIP2A and contributes to poor prognosis of colon cancer, Molecular Oncology, 12, 10, (1706-1717), (2018).
    • , Conservation lessons from large‐mammal manipulations in East African savannas: the KLEE, UHURU, and GLADE experiments, Annals of the New York Academy of Sciences, 1429, 1, (31-49), (2018).
    • , Metabolomic profiling of human lung tumor tissues – nucleotide metabolism as a candidate for therapeutic interventions and biomarkers, Molecular Oncology, 12, 10, (1778-1796), (2018).
    • , Citizen science records describe the distribution and migratory behaviour of a piscivorous predator, Pomatomus saltatrix, ICES Journal of Marine Science, 10.1093/icesjms/fsy057, 75, 5, (1573-1582), (2018).
    • , Prediction of starry stonewort (Nitellopsis obtusa) invasion risk in upper Midwest (USA) lakes using ecological niche models, Aquatic Botany, 10.1016/j.aquabot.2018.08.001, 151, (43-50), (2018).
    • , Follow the rain? Environmental drivers of Tyrannus migration across the New World , The Auk, 10.1642/AUK-17-209.1, 135, 4, (881-894), (2018).
    • , Habitat modeling of the common pheasant Phasianus colchicus (Galliformes: Phasianidae) in a highly modified landscape: application of species distribution models in the study of a poorly documented bird in Iran , The European Zoological Journal, 10.1080/24750263.2018.1510994, 85, 1, (373-381), (2018).
    • , Spatially biased versus extent of occurrence records in distribution modelling predictions: a study case with South American anurans, Zoology and Ecology, 10.1080/21658005.2018.1502125, 28, 3, (165-171), (2018).
    • , Modeling habitat suitability of range plant species using random forest method in arid mountainous rangelands, Journal of Mountain Science, 10.1007/s11629-018-4898-1, 15, 10, (2159-2171), (2018).
    • , Distribution pattern prediction of an invasive alien species largemouth bass using a maximum entropy model (MaxEnt) in the Korean peninsula, Journal of Asia-Pacific Biodiversity, 10.1016/j.japb.2018.09.007, (2018).
    • , Evaluating the risk for Usutu virus circulation in Europe: comparison of environmental niche models and epidemiological models, International Journal of Health Geographics, 10.1186/s12942-018-0155-7, 17, 1, (2018).
    • , Species distribution modelling tools and databases to assist managing forests under climate change, Forest Ecology and Management, 10.1016/j.foreco.2018.08.019, 430, (196-203), (2018).
    • , A new method for jointly assessing effects of climate change and nitrogen deposition on habitats, Biological Conservation, 10.1016/j.biocon.2018.09.014, 228, (52-61), (2018).
    • , An integrated data-mining and multi-criteria decision-making approach for hazard-based object ranking with a focus on landslides and floods, Environmental Earth Sciences, 10.1007/s12665-018-7762-2, 77, 16, (2018).
    • , Using insects to detect, monitor and predict the distribution of Xylella fastidiosa: a case study in Corsica, Scientific Reports, 10.1038/s41598-018-33957-z, 8, 1, (2018).
    • , Modelling Dolphin Distribution to Inform Future Spatial Conservation Decisions in a Marine Protected Area, Scientific Reports, 10.1038/s41598-018-34095-2, 8, 1, (2018).
    • , Habitat mapping, population size and preventing extinction through improving the conservation status of Calamus nambariensis Becc. - an endemic and threatened cane of Assam, India, Acta Ecologica Sinica, 10.1016/j.chnaes.2018.03.005, 38, 6, (412-421), (2018).
    • , The effect of large sample sizes on ecological niche models: Analysis using a North American rodent, Peromyscus maniculatus, Ecological Modelling, 10.1016/j.ecolmodel.2018.08.013, 386, (83-88), (2018).
    • , Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach, Environmental Monitoring and Assessment, 10.1007/s10661-018-7052-1, 190, 11, (2018).
    • , Spatial Distribution and Modelling of Soil Transmitted Helminthes Infection in Nigeria, Research Journal of Parasitology, 10.3923/jp.2018.19.35, 13, 2, (19-35), (2018).
    • , Road mortality of the eastern long-necked turtle (Chelodina longicollis) along the Murray River, Australia: an assessment using citizen science, Australian Journal of Zoology, 10.1071/ZO17065, 66, 1, (41), (2018).
    • , Winter habitat of Mongolian gazelles in areas of southern Mongolia under new railroad construction: An estimation of interannual changes in suitable habitats, Mammalian Biology, 10.1016/j.mambio.2018.07.006, 93, (13-20), (2018).
    • , Monitoring and predicting the potential distribution of alien plant species in arid ecosystem using remotely-sensed data, Remote Sensing Applications: Society and Environment, 10.1016/j.rsase.2018.10.005, (2018).
    • , The Specialist Capuchin? Using Ecological Niche Models to Compare Niche Breadth in Mesoamerican Primates, Primate Life Histories, Sex Roles, and Adaptability, 10.1007/978-3-319-98285-4_15, (311-329), (2018).
    • , Spatiotemporal patterns and agroecological risk factors for cutaneous and renal glomerular vasculopathy (Alabama Rot) in dogs in the UK, Veterinary Record, 10.1136/vr.104892, 183, 16, (502-502), (2018).
    • , Identifying priority conservation areas for birds associated to endangered Neotropical dry forests, Biological Conservation, 10.1016/j.biocon.2018.10.025, 228, (205-214), (2018).
    • , European badger habitat requirements in the Netherlands – combining ecological niche models with neighbourhood analysis, Wildlife Biology, 10.2981/wlb.00453, 2018, 1, (wlb.00453), (2018).
    • , Evidences for a shared history for spectacled salamanders, haplotypes and climate, Scientific Reports, 10.1038/s41598-018-34854-1, 8, 1, (2018).
    • , Boosting, Bagging and Ensembles in the Real World: An Overview, some Explanations and a Practical Synthesis for Holistic Global Wildlife Conservation Applications Based on Machine Learning with Decision Trees, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_3, (63-83), (2018).
    • , From Data Mining with Machine Learning to Inference in Diverse and Highly Complex Data: Some Shared Experiences, Intellectual Reasoning and Analysis Steps for the Real World of Science Applications, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_4, (87-108), (2018).
    • , Ensembles of Ensembles: Combining the Predictions from Multiple Machine Learning Methods, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_5, (109-121), (2018).
    • , Machine Learning Techniques for Quantifying Geographic Variation in Leach’s Storm-Petrel (Hydrobates leucorhous) Vocalizations, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_15, (295-312), (2018).
    • , Machine Learning for ‘Strategic Conservation and Planning’: Patterns, Applications, Thoughts and Urgently Needed Global Progress for Sustainability, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_16, (315-333), (2018).
    • , ‘Batteries’ in Machine Learning: A First Experimental Assessment of Inference for Siberian Crane Breeding Grounds in the Russian High Arctic Based on ‘Shaving’ 74 Predictors, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_8, (163-184), (2018).
    • , Assessment of Potential Risks from Renewable Energy Development and Other Anthropogenic Factors to Wintering Golden Eagles in the Western United States, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_19, (379-407), (2018).
    • , A Perspective on the Future of Machine Learning: Moving Away from ‘Business as Usual’ and Towards a Holistic Approach of Global Conservation, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_20, (411-430), (2018).
    • , Predicting the potential distribution of the non-native Red Swamp Crayfish Procambarus clarkii in the Laurentian Great Lakes, Journal of Great Lakes Research, 10.1016/j.jglr.2018.11.007, (2018).
    • , Modelling the Distributions of Maize Stem Borers at Local Scale in East African Mountain Gradients Using Climatic and Edaphic Variables, African Entomology, 10.4001/003.026.0458, 26, 2, (458-470), (2018).
    • , Use of Geographical Information System and Ecological Niche Modelling for predicting potential space distribution of subclinical mastitis in ewes, Veterinary Microbiology, 10.1016/j.vetmic.2018.11.021, (2018).
    • , Modeling potential habitats for Pergularia tomentosa using maximum entropy model and effect of environmental variables on its quantitative characteristics in arid rangelands, southeastern Iran, Journal of Ecology and Environment, 10.1186/s41610-018-0083-2, 42, 1, (2018).
    • , A test of the Australian Weed Risk Assessment system in China, Biological Invasions, 10.1007/s10530-018-1680-9, 20, 8, (2061-2076), (2018).
    • , How much should one sample to accurately predict the distribution of species assemblages? A virtual community approach, Ecological Informatics, 10.1016/j.ecoinf.2018.09.002, 48, (125-134), (2018).
    • , Analyzing habitat characteristics and predicting present and future suitable habitats of Sibynophis chinensis based on a climate change scenario, Journal of Asia-Pacific Biodiversity, 10.1016/j.japb.2018.11.001, (2018).
    • , Forest Migration Patterns and Uncertainties, The LGM Distribution of Dominant Tree Genera in Northern China's Forest-steppe Ecotone and Their Postglacial Migration, 10.1007/978-981-13-2883-1_6, (91-100), (2018).
    • , Research Area and Research Methods, The LGM Distribution of Dominant Tree Genera in Northern China's Forest-steppe Ecotone and Their Postglacial Migration, 10.1007/978-981-13-2883-1_2, (17-29), (2018).
    • , Modelling species habitat suitability from presence-only data using kernel density estimation, Ecological Indicators, 10.1016/j.ecolind.2018.04.002, 93, (387-396), (2018).
    • , Water availability limits brown bear distribution at the southern edge of its global range, Ursus, 10.2192/URSUS-D-16-00017.1, 29, 1, (13-24), (2018).
    • , Description of Plagiolepis perperamus , a New Species from East-Mediterranean and Redescription of Plagiolepis pallescens Forel, 1889 (Hymenoptera: Formicidae) , Annales Zoologici, 10.3161/00034541ANZ2018.68.4.005, 68, 4, (809-824), (2018).
    • , A potential distribution map of wintering Swan Goose (Anser cygnoides) in the middle and lower Yangtze River floodplain, China, Avian Research, 10.1186/s40657-018-0134-5, 9, 1, (2018).
    • , Predicting fundamental and realized distributions based on thermal niche: A case study of a freshwater turtle, Acta Oecologica, 10.1016/j.actao.2018.03.005, 88, (52-57), (2018).
    • , First record of Pleroma boraceiense (Brade) P.J.F. Guim. & Justino (Melastomataceae) in Minas Gerais state, Brazil, Feddes Repertorium, 129, 4, (233-240), (2018).
    • , Spatial Dispersion and Point Data, Spatial Ecology and Conservation Modeling, 10.1007/978-3-030-01989-1_4, (101-132), (2019).
    • , Structure of Ecologo-Climatic Niches of Poa palustris L. and P. nemoralis L. (Роасеае) in Asian Russia, Contemporary Problems of Ecology, 10.1134/S1995425518060069, 11, 6, (604-613), (2018).
    • , Bird Diversity Patterns in the Nuclear Central American Highlands: A Conservation Priority in the Northern Neotropics, Tropical Conservation Science, 10.1177/1940082918819073, 11, (194008291881907), (2018).
    • , Distributional pattern of Sardinian orchids under a climate change scenario, Community Ecology, 10.1556/168.2018.19.3.3, 19, 3, (223-232), (2018).
    • , Slow and steady wins the race? Future climate and land use change leaves the imperiled Blanding's turtle ( Emydoidea blandingii ) behind, Biological Conservation, 10.1016/j.biocon.2018.03.026, 222, (75-85), (2018).
    • , Harmful algal blooms and climate change: exploring future distribution changes, ICES Journal of Marine Science, 10.1093/icesjms/fsy113, 75, 6, (1882-1893), (2018).
    • , Random forest assessment of correlation between environmental factors and genetic differentiation of populations: Case of marine mussels Mytilus, Oceanologia, 10.1016/j.oceano.2018.08.002, (2018).
    • , Persian leopard and wild sheep distribution modeling using the Maxent model in the Tang-e-Sayad protected area, Iran, Mammalia, 10.1515/mammalia-2016-0155, 83, 1, (84-96), (2018).
    • , Environmental factors associated with the spatial distribution of invasive plant pathogens in the Iberian Peninsula: The case of Phytophthora cinnamomi Rands, Forest Ecology and Management, 10.1016/j.foreco.2018.03.026, 419-420, (101-109), (2018).
    • , Spatial variation in determinants of agricultural land abandonment in Europe, Science of The Total Environment, 10.1016/j.scitotenv.2018.06.326, 644, (95-111), (2018).
    • , A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination, Science of The Total Environment, 10.1016/j.scitotenv.2018.07.054, 644, (954-962), (2018).
    • , Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective, Machine Learning for Ecology and Sustainable Natural Resource Management, 10.1007/978-3-319-96978-7_1, (3-26), (2018).
    • , Social-ecological modelling of the spatial distribution of dengue fever and its temporal dynamics in Guayaquil, Ecuador for climate change adaption, Ecological Informatics, 10.1016/j.ecoinf.2018.11.001, (2018).
    • , Combining habitat suitability models and spatial graphs for more effective landscape conservation planning: An applied methodological framework and a species case study, Journal for Nature Conservation, 10.1016/j.jnc.2018.08.005, 46, (38-47), (2018).
    • , The latitudinal diversity gradient of epiphytic lichens in the Brazilian Atlantic Forest: does Rapoport's rule apply?, The Bryologist, 10.1639/0007-2745-121.4.480, 121, 4, (480-497), (2018).
    • , Loss of potential bat habitat following a severe wildfire: a model-based rapid assessment, International Journal of Wildland Fire, 10.1071/WF18072, 27, 11, (756), (2018).
    • , A review of Bayesian belief network models as decision-support tools for wetland conservation: Are water birds potential umbrella taxa?, Biological Conservation, 10.1016/j.biocon.2018.08.001, 226, (215-223), (2018).
    • , Will climate change cause spatial mismatch between plants and their pollinators? A test using Andean cactus species, Biological Conservation, 10.1016/j.biocon.2018.07.003, 226, (247-255), (2018).
    • , Current and future distribution of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in WHO Eastern Mediterranean Region, International Journal of Health Geographics, 10.1186/s12942-018-0125-0, 17, 1, (2018).
    • , Species Distributions, Spatial Ecology and Conservation Modeling, 10.1007/978-3-030-01989-1_7, (213-269), (2019).
    • , A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill, Journal of Cleaner Production, 10.1016/j.jclepro.2018.02.154, 183, (566-578), (2018).
    • , Predicting the distribution of Encephalartos latifrons, a critically endangered cycad in South Africa, Biodiversity and Conservation, 10.1007/s10531-018-1519-9, 27, 8, (1961-1980), (2018).
    • , Quantified ecology and co-occurrence of Mediterranean woody species in a landscape context, Plant Ecology, 10.1007/s11258-018-0810-x, 219, 5, (481-496), (2018).
    • , Dryland photoautotrophic soil surface communities endangered by global change, Nature Geoscience, 10.1038/s41561-018-0072-1, 11, 3, (185-189), (2018).
    • , The devil is in the detail: small-scale sexual segregation despite large-scale spatial overlap in the wandering albatross, Marine Biology, 10.1007/s00227-018-3316-0, 165, 3, (2018).
    • , Maximum Entropy modeling for habitat suitability assessment of Red-crowned crane, Ecological Indicators, 10.1016/j.ecolind.2018.04.013, 91, (439-446), (2018).
    • , Individualistic values are related to an increase in the outbreaks of infectious diseases and zoonotic diseases, Scientific Reports, 10.1038/s41598-018-22014-4, 8, 1, (2018).
    • , Implications of movement for species distribution models - Rethinking environmental data tools, Science of The Total Environment, 10.1016/j.scitotenv.2018.02.026, 628-629, (893-905), (2018).
    • , Recovery of black-necked swans, macrophytes and water quality in a Ramsar wetland of southern Chile: Assessing resilience following sudden anthropogenic disturbances, Science of The Total Environment, 10.1016/j.scitotenv.2018.01.333, 628-629, (291-301), (2018).
    • , Inferring diversity patterns along an elevation gradient from stacked SDMs: A case study on Mesoamerican ferns, Global Ecology and Conservation, 10.1016/j.gecco.2018.e00433, 16, (e00433), (2018).
    • , Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China, Global Ecology and Conservation, 10.1016/j.gecco.2018.e00477, (e00477), (2018).
    • , Environmental suitability for Lutzomyia (Nyssomyia) whitmani (Diptera: Psychodidae: Phlebotominae) and the occurrence of American cutaneous leishmaniasis in Brazil, Parasites & Vectors, 10.1186/s13071-018-2742-7, 11, 1, (2018).
    • , Comparison of model selection technique performance in predicting the spread of newly invasive species: a case study with Batrachochytrium salamandrivorans, Biological Invasions, 10.1007/s10530-018-1690-7, 20, 8, (2107-2119), (2018).
    • , Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base, Biology Bulletin, 10.1134/S106235901809008X, 45, 9, (1106-1115), (2019).
    • , When and how should biotic interactions be considered in models of species niches and distributions?, Journal of Biogeography, 44, 1, (8-17), (2016).
    • , Genetically informed ecological niche models improve climate change predictions, Global Change Biology, 23, 1, (164-176), (2016).
    • , Sensitivity of fine‐scale species distribution models to locational uncertainty in occurrence data across multiple sample sizes, Methods in Ecology and Evolution, 8, 1, (12-21), (2016).
    • , Evaluating citizen science data for forecasting species responses to national forest management, Ecology and Evolution, 7, 1, (368-378), (2016).
    • , Explaining island‐wide geographical patterns of Caribbean fish diversity: A multi‐scale seascape ecology approach, Marine Ecology, 38, 3, (2017).
    • , Semi‐automated detection of eagle nests: an application of very high‐resolution image data and advanced image analyses to wildlife surveys, Remote Sensing in Ecology and Conservation, 3, 2, (66-80), (2017).
    • , Changes in the realized niche of the invasive succulent CAM plant Furcraea foetida, Austral Ecology, 42, 6, (643-654), (2017).
    • , Testing the effects of a century of fires: Requirements for post‐fire succession predict the distribution of threatened bird species, Diversity and Distributions, 23, 9, (1078-1089), (2017).
    • , Seasonal habitat use by Elephants (Loxodonta africana) in the Mole National Park of Ghana, Ecology and Evolution, 7, 11, (3784-3795), (2017).
    • , Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure, Ecography, 40, 8, (913-929), (2017).
    • , Fine‐grain, large‐domain climate models based on climate station and comprehensive topographic information improve microrefugia detection, Ecography, 40, 8, (1003-1013), (2016).
    • , Is there a correlation between abundance and environmental suitability derived from ecological niche modelling? A meta‐analysis, Ecography, 40, 7, (817-828), (2016).
    • , Species distribution models may misdirect assisted migration: insights from the introduction of Douglas‐fir to Europe, Ecological Applications, 27, 2, (446-457), (2017).
    • , Applying species distribution modelling to a data poor, pelagic fish complex: the ocean sunfishes, Journal of Biogeography, 44, 10, (2176-2187), (2017).
    • , Species‐specific environmental preferences associated with a hump‐shaped diversity/temperature relationship across tropical marine fish assemblages, Journal of Biogeography, 44, 10, (2343-2353), (2017).
    • , The thermal niche of Neotropical nectar‐feeding bats: Its evolution and application to predict responses to global warming, Ecology and Evolution, 7, 17, (6691-6701), (2017).
    • , Generalized joint attribute modeling for biodiversity analysis: median‐zero, multivariate, multifarious data, Ecological Monographs, 87, 1, (34-56), (2017).
    • , Modelling the potential geographic distribution of an endangered pollination corridor in Mexico and the United States, Diversity and Distributions, 23, 1, (67-78), (2016).
    • , Trait‐based prediction of extinction risk of small‐bodied freshwater fishes, Conservation Biology, 31, 3, (581-591), (2017).
    • , Does dispersal capacity matter for freshwater biodiversity under climate change?, Freshwater Biology, 62, 2, (382-396), (2016).
    • , Mechanistic variables can enhance predictive models of endotherm distributions: the American pika under current, past, and future climates, Global Change Biology, 23, 3, (1048-1064), (2016).
    • , Linking macroecology and community ecology: refining predictions of species distributions using biotic interaction networks, Ecology Letters, 20, 6, (693-707), (2017).
    • , Climatic suitability ranking of biological control candidates: a biogeographic approach for ragweed management in Europe, Ecosphere, 8, 4, (2017).
    • , Evolutionary history of the Persian Jird, Meriones persicus, based on genetics, species distribution modelling and morphometric data, Journal of Zoological Systematics and Evolutionary Research, 55, 1, (29-45), (2016).
    • , Can incomplete knowledge of species’ physiology facilitate ecological niche modelling? A case study with virtual species, Diversity and Distributions, 23, 10, (1157-1168), (2017).
    • , Opening the black box: an open‐source release of Maxent, Ecography, 40, 7, (887-893), (2017).
    • , Performance tradeoffs in target‐group bias correction for species distribution models, Ecography, 40, 9, (1076-1087), (2016).
    • , Quantifying the degree of bias from using county‐scale data in species distribution modeling: Can increasing sample size or using county‐averaged environmental data reduce distributional overprediction?, Ecology and Evolution, 7, 15, (6012-6022), (2017).
    • , Molecular data and ecological niche modelling reveal the evolutionary history of the common and Iberian moles (Talpidae) in Europe, Zoologica Scripta, 46, 1, (12-26), (2016).
    • , The economics of land use reveals a selection bias in tree species distribution models, Global Ecology and Biogeography, 26, 1, (65-77), (2016).
    • , Temperature, invaders and patchy habitat interact to limit the distribution of a vulnerable freshwater fish, Austral Ecology, 42, 4, (456-467), (2016).
    • , Effects of life‐history requirements on the distribution of a threatened reptile, Conservation Biology, 31, 2, (427-436), (2016).
    • , Functional traits of marine macrophytes predict primary production, Functional Ecology, 31, 4, (975-986), (2016).
    • , Rapid climate‐driven loss of breeding habitat for Arctic migratory birds, Global Change Biology, 23, 3, (1085-1094), (2016).
    • , Evaluating 318 continental‐scale species distribution models over a 60‐year prediction horizon: what factors influence the reliability of predictions?, Global Ecology and Biogeography, 26, 3, (371-384), (2016).
    • , Vertical (arboreality) and horizontal (dispersal) movement increase the resilience of vertebrates to climatic instability, Global Ecology and Biogeography, 26, 7, (787-798), (2017).
    • , A single‐algorithm ensemble approach to estimating suitability and uncertainty: cross‐time projections for four Malagasy tenrecs, Diversity and Distributions, 23, 2, (196-208), (2016).
    • , Including environmental niche information to improve IUCN Red List assessments, Diversity and Distributions, 23, 5, (484-495), (2017).
    • , Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities, Ecography, 40, 2, (281-295), (2016).
    • , Effects of Quaternary climatic fluctuations on the distribution of Neotropical savanna tree species, Ecography, 40, 3, (403-414), (2016).
    • , Species distribution modeling and molecular markers suggest longitudinal range shifts and cryptic northern refugia of the typical calcareous grassland species Hippocrepis comosa (horseshoe vetch), Ecology and Evolution, 7, 6, (1919-1935), (2017).
    • , Determining the factors affecting the distribution of Muscari latifolium, an endemic plant of Turkey, and a mapping species distribution model, Ecology and Evolution, 7, 4, (1112-1124), (2017).
    • , Fire regimes and environmental gradients shape vertebrate and plant distributions in temperate eucalypt forests, Ecosphere, 8, 4, (2017).
    • , Evaluating citizen vs. professional data for modelling distributions of a rare squirrel, Journal of Applied Ecology, 54, 2, (628-637), (2016).
    • , Sink or swim? Potential for high faunal turnover in Australian rivers under climate change, Journal of Biogeography, 44, 3, (489-501), (2017).
    • , A quantitative synthesis of the importance of variables used in MaxEnt species distribution models, Journal of Biogeography, 44, 6, (1344-1361), (2016).
    • , Diversification of deermice (Rodentia: genus Peromyscus) at their north‐western range limit: genetic consequences of refugial and island isolation, Journal of Biogeography, 44, 7, (1572-1585), (2017).
    • , The distribution of Athetis lepigone and prediction of its potential distribution based on GARP and MaxEnt, Journal of Applied Entomology, 141, 6, (431-440), (2016).
    • , Multi‐site generalised dissimilarity modelling: using zeta diversity to differentiate drivers of turnover in rare and widespread species, Methods in Ecology and Evolution, 8, 4, (431-442), (2017).
    • , Barriers to globally invasive species are weakening across the Antarctic, Diversity and Distributions, 23, 9, (982-996), (2017).
    • , Richness pattern and phytogeography of the Cerrado herb–shrub flora and implications for conservation, Journal of Vegetation Science, 28, 4, (848-858), (2017).
    • , Past, current, and future trends of red spiny lobster based on PCA with MaxEnt model in Galapagos Islands, Ecuador, Ecology and Evolution, 7, 13, (4881-4890), (2017).
    • , The impact of climate change on the distribution of two threatened Dipterocarp trees, Ecology and Evolution, 7, 7, (2238-2248), (2017).
    • , Vulnerability of Subarctic and Arctic breeding birds, Ecological Applications, 27, 1, (219-234), (2017).
    • , Habitat selection by breeding Whinchats Saxicola rubetra at territory and landscape scales, Ibis, 159, 1, (139-151), (2016).
    • , The role of refuges in the persistence of Australian dryland mammals, Biological Reviews, 92, 2, (647-664), (2015).
    • , Climate change may reduce the spread of non‐native species, Ecosphere, 8, 3, (2017).
    • , Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality, Ecosphere, 8, 1, (2017).
    • , Linking small pelagic fish and cetacean distribution to model suitable habitat for coastal dolphin species, Delphinus delphis and Tursiops truncatus, in the Greek Seas (Eastern Mediterranean), Aquatic Conservation: Marine and Freshwater Ecosystems, 27, 2, (436-451), (2016).
    • , Climate Change Impacts on Faidherbia albida (Delile) A. Chev. Distribution in Dry Lands of Ethiopia, African Journal of Ecology, 55, 2, (233-243), (2016).
    • , Molecular ecology of insect pests of agricultural importance: the case of aphids, Ecological Entomology, 42, S1, (18-27), (2017).
    • , Rapid prioritization of alien plants for eradication based on climatic suitability and eradication feasibility, Austral Ecology, 42, 8, (995-1005), (2017).
    • , Mutualism influences species distribution predictions for a bromeliad‐breeding anuran under climate change, Austral Ecology, 42, 7, (869-877), (2017).
    • , Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modelling, Methods in Ecology and Evolution, 8, 12, (1804-1812), (2017).
    • , Less favourable climates constrain demographic strategies in plants, Ecology Letters, 20, 8, (969-980), (2017).
    • , Cutting the Gordian Knot: Phylogenetic and ecological diversification of the Mesalina brevirostris species complex (Squamata, Lacertidae), Zoologica Scripta, 46, 6, (649-664), (2017).
    • , Mountains too high and valleys too deep drive population structuring and demographics in a Qinghai–Tibetan Plateau frog Nanorana pleskei (Dicroglossidae), Ecology and Evolution, 7, 1, (240-252), (2016).
    • , Combining landscape suitability and habitat connectivity to conserve the last surviving population of cheetah in Asia, Diversity and Distributions, 23, 6, (592-603), (2017).
    • , Comparing citizen science and professional data to evaluate extrapolated mountain goat distribution models, Ecosphere, 8, 2, (2017).
    • , Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail, Journal of Applied Ecology, 54, 2, (618-627), (2016).
    • , Potential pollination maintenance by an exotic allodapine bee under climate change scenarios in the Indo‐Pacific region, Journal of Applied Entomology, 141, 1-2, (122-132), (2016).
    • , Potential impacts of a future persistent El Niño or La Niña on three subspecies of Australian butterflies, Biotropica, 49, 1, (110-116), (2016).
    • , Evaluating performance of aerial survey data in elephant habitat modelling, African Journal of Ecology, 55, 3, (270-281), (2016).
    • , Estimating non‐indigenous species establishment and their impact on biodiversity, using the Relative Suitability Richness model, Journal of Applied Ecology, 54, 6, (1978-1988), (2017).
    • , Validating distribution models for twelve endemic bird species of tropical dry forest in western Mexico, Ecology and Evolution, 7, 19, (7672-7686), (2017).
    • , A new recent genus and species of three‐toed jerboas (Rodentia: Dipodinae) from China: A living fossil?, Journal of Zoological Systematics and Evolutionary Research, 55, 4, (356-368), (2017).
    • , Non‐native marine species in north‐west Europe: Developing an approach to assess future spread using regional downscaled climate projections, Aquatic Conservation: Marine and Freshwater Ecosystems, 27, 5, (1035-1050), (2017).
    • , Divergence is not enough: the use of ecological niche models for the validation of taxon boundaries, Plant Biology, 19, 6, (1003-1011), (2017).
    • , The effects of climate change on a mega‐diverse country: predicted shifts in mammalian species richness and turnover in continental Ecuador, Biotropica, 49, 6, (821-831), (2017).
    • , High‐resolution ecological niche modelling of threatened freshwater mussels in east Texas, USA, Aquatic Conservation: Marine and Freshwater Ecosystems, 27, 6, (1251-1260), (2017).
    • , Global realized niche divergence in the African clawed frog Xenopus laevis, Ecology and Evolution, 7, 11, (4044-4058), (2017).
    • , Modelling imperfect presence data obtained by citizen science, Environmetrics, 28, 5, (2017).
    • , Quantifying the stability of planktic foraminiferal physical niches between the Holocene and Last Glacial Maximum, Paleoceanography, 32, 1, (74-89), (2017).
    • , In aid of (re)discovered species: maximizing conservation insights from minimal data, Animal Conservation, 20, 2, (205-212), (2016).
    • , Implementation and application of multiple potential natural vegetation models – a case study of Hungary, Journal of Vegetation Science, 28, 6, (1260-1269), (2017).
    • , A quantitative framework to estimate the relative importance of environment, spatial variation and patch connectivity in driving community composition, Journal of Animal Ecology, 86, 2, (316-326), (2017).
    • , A temporally explicit species distribution model for a long distance avian migrant, the common cuckoo, Journal of Avian Biology, 48, 12, (1624-1636), (2017).
    • , Climate determinants of breeding and wintering ranges of lesser kestrels in Italy and predicted impacts of climate change, Journal of Avian Biology, 48, 12, (1595-1607), (2017).
    • , A framework integrating physiology, dispersal and land‐use to project species ranges under climate change, Journal of Avian Biology, 48, 12, (1532-1548), (2017).
    • , Estimating stock depletion level from patterns of catch history, Fish and Fisheries, 18, 4, (742-751), (2017).
    • , A null biogeographical test for assessing ecological niche evolution, Journal of Biogeography, 44, 6, (1331-1343), (2016).
    • , Environmental risk modelling and potential sand fly vectors of cutaneous leishmaniasis in Chitral district: a leishmanial focal point of mount Tirich Mir, Pakistan, Tropical Medicine & International Health, 22, 9, (1130-1140), (2017).
    • , Habitat distribution modelling, under the present climatic scenario, of the threatened endemic Iberian Delphinium fissum subsp. sordidum (Ranunculaceae) and implications for its conservation, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, (1), (2017).
    • , Riqueza de especies arbóreas en bosques de montaña de Chiapas: estimaciones a partir de datos de herbarios e inventarios florísticos, Revista Mexicana de Biodiversidad, 88, 4, (832), (2017).
    • , Factors affecting forest dynamics in the Iberian Peninsula from 1987 to 2012. The role of topography and drought, Forest Ecology and Management, 10.1016/j.foreco.2017.10.011, 406, (290-306), (2017).
    • , The niche and phylogeography of a passerine reveal the history of biological diversification between the Andean and the Atlantic forests, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2017.03.025, 112, (107-121), (2017).
    • , The Role of Geographical and Ecological Factors on Population Divergence of the Neotropical otter Lontra longicaudis (Carnivora, Mustelidae), Evolutionary Biology, (2017).
    • , Maximum entropy modeling for orogenic gold prospectivity mapping in the Tangbale-Hatu belt, western Junggar, China, Ore Geology Reviews, 10.1016/j.oregeorev.2017.04.029, (2017).
    • , Quantifying the evidence for co-benefits between species conservation and climate change mitigation in giant panda habitats, Scientific Reports, 7, 1, (2017).
    • , Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning, Forest Ecology and Management, 10.1016/j.foreco.2017.06.044, 400, (655-664), (2017).
    • , Demographic history and population genetic structure of Hagenia abyssinica (Rosaceae), a tropical tree endemic to the Ethiopian highlands and eastern African mountains, Tree Genetics & Genomes, 13, 4, (2017).
    • , Predicting climate change impacts on the distribution of the threatened Garcinia indica in the Western Ghats, India, Climate Risk Management, 10.1016/j.crm.2017.11.002, (2017).
    • , Models of Ecological Responses to Flow Regime Change to Inform Environmental Flows Assessments, Water for the Environment, 10.1016/B978-0-12-803907-6.00014-0, (287-316), (2017).
    • , Presence and Potential Distribution of Aedes albopictus and Aedes japonicus japonicus (Diptera: Culicidae) in Slovenia, Journal of Medical Entomology, 54, 6, (1510), (2017).
    • , Spatio-temporal trends in crop damage inform recent climate-mediated expansion of a large boreal herbivore into an agro-ecosystem, Scientific Reports, 7, 1, (2017).
    • , Current and future suitability of wintering grounds for a long-distance migratory raptor, Scientific Reports, 10.1038/s41598-017-08753-w, 7, 1, (2017).
    • , Winter Activity of Bats in Mediterranean Peri-Urban Deciduous Forests, Acta Chiropterologica, 19, 2, (367), (2017).
    • , The importance of human population characteristics in modeling Aedes aegypti distributions and assessing risk of mosquito-borne infectious diseases, Tropical Medicine and Health, 45, 1, (2017).
    • , Minimizing effects of methodological decisions on interpretation and prediction in species distribution studies: An example with background selection, Ecological Modelling, 363, (48), (2017).
    • , Benthic Crustacea and Mollusca distribution in Arctic fjord – case study of patterns in Hornsund, Svalbard, Oceanologia, 59, 4, (565), (2017).
    • , Biologically informed ecological niche models for an example pelagic, highly mobile species, European Journal of Ecology, 3, 1, (2017).
    • , Assessing and managing the threat posed by Epipremnum aureum in South Africa, South African Journal of Botany, 10.1016/j.sajb.2016.12.005, 109, (178-188), (2017).
    • , Range-wide evaluation of wildlife habitat change: A demonstration using Giant Pandas, Biological Conservation, 10.1016/j.biocon.2017.07.010, 213, (203-209), (2017).
    • , How Do Cold-Adapted Plants Respond to Climatic Cycles? Interglacial Expansion Explains Current Distribution and Genomic Diversity in Primula farinosa L., Systematic Biology, 66, 5, (715), (2017).
    • , A spatially-explicit dynamic modelling framework to assess habitat suitability for endangered species: The case of Red-billed Chough under land use change scenarios in Portugal, Biological Conservation, 10.1016/j.biocon.2017.04.013, 210, (96-106), (2017).
    • , Genetic characterization of spotted fever group rickettsiae in questing ixodid ticks collected in Israel and environmental risk factors for their infection, Parasitology, 144, 08, (1088), (2017).
    • , Climate Analyses to Assess Risks from Invasive Forest Insects: Simple Matching to Advanced Models, Current Forestry Reports, 10.1007/s40725-017-0061-4, 3, 3, (255-268), (2017).
    • , The importance of Portuguese Continental Shelf Waters to Balearic Shearwaters revealed by aerial census, Marine Biology, 10.1007/s00227-017-3089-x, 164, 3, (2017).
    • , Parasite biodiversity faces extinction and redistribution in a changing climate, Science Advances, 10.1126/sciadv.1602422, 3, 9, (e1602422), (2017).
    • , Integrating species distribution modelling into decision-making to inform conservation actions, Biodiversity and Conservation, 26, 2, (251), (2017).
    • , Generalized Models: An Application to Identify Environmental Variables That Significantly Affect the Abundance of Three Tree Species, Forests, 8, 3, (59), (2017).
    • , Where is the risk? Integrating a spatial distribution model and a risk assessment to identify areas of cetacean interaction with fisheries in the northeast Atlantic, Ocean & Coastal Management, 136, (148), (2017).
    • , Evaluation of the impacts of climate change on disease vectors through ecological niche modelling, Bulletin of Entomological Research, 107, 04, (419), (2017).
    • , Do floral and niche shifts favour the establishment and persistence of newly arisen polyploids? A case study in an Alpine primrose, Annals of Botany, 119, 1, (81), (2017).
    • , Estimating future cyanobacterial occurrence and importance in lakes: a case study with Planktothrix rubescens in Lake Geneva, Aquatic Sciences, 79, 2, (249), (2017).
    • , Searching for Biotic Multipliers of Climate Change, Integrative and Comparative Biology, 10.1093/icb/icx045, 57, 1, (134-147), (2017).
    • , Santa Maria di Leuca Province (Mediterranean Sea): Identification of Suitable Mounds for Cold-Water Coral Settlement Using Geomorphometric Proxies and Maxent Methods, Frontiers in Marine Science, 4, (2017).
    • , Global warming drives changes in carnivore communities in the North Sahara Desert, Climate Research, 10.3354/cr01463, 72, 2, (153-162), (2017).
    • , Quality of citizen science data and its consequences for the conservation of skipper butterflies (Hesperiidae) in Flanders (northern Belgium), Journal of Insect Conservation, 10.1007/s10841-016-9924-4, 21, 3, (451-463), (2016).
    • , Joint ecological, geographical and cultural approach to identify territories of opportunity for large vertebrates conservation in Mexico, Biodiversity and Conservation, 26, 8, (1899), (2017).
    • , Land changes in Slovakia: Past processes and future directions, Applied Geography, 85, (163), (2017).
    • , A bird's view of new conservation hotspots in China, Biological Conservation, 211, (47), (2017).
    • , Species distribution models of two critically endangered deep-sea octocorals reveal fishing impacts on vulnerable marine ecosystems in central Mediterranean Sea, Scientific Reports, 7, 1, (2017).
    • , Species climatic niche explains drought‐induced die‐off in a Mediterranean woody community, Ecosphere, 8, 5, (2017).
    • , Accuracy of climate-based forecasts of pathogen spread, Royal Society Open Science, 4, 3, (160975), (2017).
    • , Climate change and the risk of spread of the fungus from the high mortality of Theobroma cocoa in Latin America, Neotropical Biodiversity, 3, 1, (30), (2017).
    • , Geographical variation in morphology of Chaetosiphella stipae stipae Hille Ris Lambers, 1947 (Hemiptera: Aphididae: Chaitophorinae), Scientific Reports, 7, (43988), (2017).
    • , Unraveling climate influences on the distribution of the parapatric newts Lissotriton vulgaris meridionalis and L. italicus , Frontiers in Zoology, 14, 1, (2017).
    • , Using MaxEnt Model to Predict Suitable Habitat Changes for Key Protected Species in Koshi Basin, Central Himalayas, Journal of Resources and Ecology, 10.5814/j.issn.1674-764x.2017.01.010, 8, 1, (77-87), (2017).
    • , Documentation of Overwintering Bat Species Presence and Hibernacula Use In the Badlands of North Dakota, Northwestern Naturalist, 98, 1, (48), (2017).
    • , Species distribution models: A comparison of statistical approaches for livestock and disease epidemics, PLOS ONE, 12, 8, (e0183626), (2017).
    • , Habitat suitability models indicate the White-breasted Thrasher Ramphocinclus brachyurus occupies all suitable habitat in Saint Lucia, Bird Conservation International, 27, 01, (96), (2017).
    • , Summer and winter habitat suitability of Marco Polo argali in southeastern Tajikistan: A modeling approach, Heliyon, 3, 11, (e00445), (2017).
    • , Regression Tree Modeling of Spatial Pattern and Process Interactions, Mapping Forest Landscape Patterns, 10.1007/978-1-4939-7331-6_5, (187-212), (2017).
    • , Keep it simple? Dispersal abilities can explain why species range sizes differ, the case study of West African amphibians, Acta Oecologica, 10.1016/j.actao.2017.11.011, (2017).
    • , Novel approaches for Spatial and Molecular Surveillance of Porcine Reproductive and Respiratory Syndrome Virus (PRRSv) in the United States, Scientific Reports, 7, 1, (2017).
    • , Aquatic biodiversity in Europe: a unique dataset on the distribution of Trichoptera species with important implications for conservation, Hydrobiologia, 10.1007/s10750-017-3116-4, 797, 1, (11-27), (2017).
    • , Modeling the impacts of climate change on Species of Concern (birds) in South Central U.S. based on bioclimatic variables, AIMS Environmental Science, 10.3934/environsci.2017.2.358, 4, 2, (358-385), (2017).
    • , Unravelling the response of diurnal raptors to land use change in a highly dynamic landscape in northwestern Spain: an approach based on satellite earth observation data, European Journal of Wildlife Research, 63, 2, (2017).
    • , Occurrence and Probability Maps of Lutzomyia longipalpis and Lutzomyia cruzi (Diptera: Psychodidae: Phlebotominae) in Brazil, Journal of Medical Entomology, 54, 5, (1430), (2017).
    • , Stability or breakdown under climate change? A key group of woody bamboos will find suitable areas in its richness center, Biodiversity and Conservation, 26, 8, (1845), (2017).
    • , Variances in the projections, resulting from CLIMEX, Boosted Regression Trees and Random Forests techniques, Theoretical and Applied Climatology, 129, 3-4, (801), (2017).
    • , Reintroduced Eurasian beavers (Castor fiber): colonization and range expansion across human-dominated landscapes, Biodiversity and Conservation, 10.1007/s10531-017-1333-9, 26, 8, (1863-1876), (2017).
    • , Regionalization of Chinese Material Medical Quality Based on Maximum Entropy Model: A case study of Atractylodes lancea, Scientific Reports, 7, (42417), (2017).
    • , Oil palm–community conflict mapping in Indonesia: A case for better community liaison in planning for development initiatives, Applied Geography, 78, (33), (2017).
    • , Ecological niche model comparison under different climate scenarios: a case study of Olea spp. in Asia, Ecosphere, 8, 5, (2017).
    • , Modeling and mapping the current and future climatic-niche of endangered Himalayan musk deer, Ecological Informatics, 40, (1), (2017).
    • , Genetic diversity and Quaternary range dynamics in Iranian and Transcaucasian tortoises, Biological Journal of the Linnean Society, 121, 3, (627), (2017).
    • , Determining bioclimatic space of Himalayan alder for agroforestry systems in Nepal, Plant Diversity, (2017).
    • , Modelling the Risk Posed by the Zebra Mussel Dreissena polymorpha: Italy as a Case Study, Environmental Management, 60, 2, (304), (2017).
    • , Development and Comparison of Species Distribution Models for Forest Inventories, ISPRS International Journal of Geo-Information, 6, 6, (176), (2017).
    • , Range increment or range detriment? Predicting potential changes in distribution caused by climate change for the endemic high-Andean lizard Phymaturus palluma, Biological Conservation, 206, (151), (2017).
    • , Can Niche Modeling and Geometric Morphometrics Document Competitive Exclusion in a Pair of Subterranean Rodents (Genus Ctenomys) with Tiny Parapatric Distributions?, Scientific Reports, 10.1038/s41598-017-16243-2, 7, 1, (2017).
    • , The Role of Spatial Statistics in the Control and Elimination of Neglected Tropical Diseases in Sub-Saharan Africa, , 10.1016/bs.apar.2017.01.001, (187-241), (2017).
    • , How will climate change pathways and mitigation options alter incidence of vector-borne diseases? A framework for leishmaniasis in South and Meso-America, PLOS ONE, 12, 10, (e0183583), (2017).
    • , A tree species range in the face of climate change: cork oak as a study case for the Mediterranean biome, European Journal of Forest Research, 10.1007/s10342-017-1055-2, 136, 3, (555-569), (2017).
    • , High-resolution species-distribution model based on systematic sampling and indirect observations, Biodiversity and Conservation, 26, 2, (421), (2017).
    • , Concepts: Assessing Tiger Habitat Occupancy Dynamics, Methods For Monitoring Tiger And Prey Populations, 10.1007/978-981-10-5436-5_4, (47-70), (2017).
    • , Codling Moth (Lepidoptera: Tortricidae) Establishment in China: Stages of Invasion and Potential Future Distribution, Journal of Insect Science, 10.1093/jisesa/iex054, 17, 4, (2017).
    • , Habitat suitability modeling for mesophotic coral in the northeastern Gulf of Mexico, Marine Ecology Progress Series, 10.3354/meps12336, 583, (121-136), (2017).
    • , Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador, Environmental Modelling & Software, 10.1016/j.envsoft.2017.02.012, 92, (269-316), (2017).
    • , Predicting American Oystercatcher (Haematopus palliatus) Breeding Distribution in an Urbanized Coastal Ecosystem Using Maximum Entropy Modeling, Waterbirds, 40, sp1, (104), (2017).
    • , Do climate-driven altitudinal range shifts explain the intraspecific diversification of a narrow ranging montane mammal, Taurus ground squirrels?, Mammal Research, (2017).
    • , Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent, Polar Biology, 10.1007/s00300-016-2020-0, 40, 5, (961-976), (2016).
    • , Potential distribution of native freshwater fish in Tabasco, Mexico, Revista Mexicana de Biodiversidad, 88, 2, (415), (2017).
    • , Climate change risks, extinction debt, and conservation implications for a threatened freshwater fish: Carmine shiner ( Notropis percobromus ), Science of The Total Environment, 10.1016/j.scitotenv.2017.03.228, 598, (1-11), (2017).
    • , Suitable Methods for Monitoring HNV Farmland Using Bird Species, Birds as Useful Indicators of High Nature Value Farmlands, 10.1007/978-3-319-50284-7_4, (53-68), (2017).
    • , Factors affecting the recruitment of Amphibalanus improvisus and Dreissena polymorpha in a highly eutrophic brackish bay, Estuarine, Coastal and Shelf Science, 184, (37), (2017).
    • , Modeling impacts of climate change on the geographic distribution of medicinal plant Fritillaria cirrhosa D. Don, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, (1), (2017).
    • , Using a novel model approach to assess the distribution and conservation status of the endangered Baird's tapir, Diversity and Distributions, 23, 12, (1459-1471), (2017).
    • , Habitat preferences of baleen whales in a mid-latitude habitat, Deep Sea Research Part II: Topical Studies in Oceanography, 10.1016/j.dsr2.2016.07.015, 141, (155-167), (2017).
    • , Mapping the spatial distribution of the Japanese encephalitis vector, Culex tritaeniorhynchus Giles, 1901 (Diptera: Culicidae) within areas of Japanese encephalitis risk, Parasites & Vectors, 10, 1, (2017).
    • , Flexibility of habitat use in novel environments: insights from a translocation experiment with lesser black-backed gulls, Royal Society Open Science, 10.1098/rsos.160164, 4, 1, (160164), (2017).
    • , Modelling benthic macrofauna and seagrass distribution patterns in a North Sea tidal basin in response to 2050 climatic and environmental scenarios, Estuarine, Coastal and Shelf Science, 188, (99), (2017).
    • , The relative influence of change in habitat and climate on elevation range limits in small mammals in Yosemite National Park, California, U.S.A., Climate Change Responses, 10.1186/s40665-017-0035-6, 4, 1, (2017).
    • , Correlating habitat suitability with landscape connectivity: A case study of Sichuan golden monkey in China, Ecological Modelling, 353, (37), (2017).
    • , High resolution habitat suitability modelling for an endemic restricted-range Hawaiian insect (Nysius wekiuicola, Hemiptera: Lygaeidae), Journal of Insect Conservation, 10.1007/s10841-017-9956-4, 21, 1, (87-96), (2017).
    • , An integrated approach for the assessment of the Aedes aegypti and Aedes albopictus global spatial distribution, and determination of the zones susceptible to the development of Zika virus, Acta Tropica, 168, (80), (2017).
    • , Spatial Distribution Modelling of Kobresia pygmaea (Cyperaceae) on the Qinghai-Tibetan Plateau , Journal of Resources and Ecology, 10.5814/j.issn.1674-764x.2017.01.004, 8, 1, (20-29), (2017).
    • , Connecting Soundscapes to Landscapes: Modeling the Spatial Distribution of Sound, Ecoacoustics, (211-223), (2017).
    • , Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence, PeerJ, 5, (e2849), (2017).
    • , Predicting the distributions of Egypt's medicinal plants and their potential shifts under future climate change, PLOS ONE, 12, 11, (e0187714), (2017).
    • , A MaxEnt Model for Mineral Prospectivity Mapping, Natural Resources Research, (2017).
    • , Leapfrogging into new territory: How Mascarene ridged frogs diversified across Africa and Madagascar to maintain their ecological niche, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2016.09.018, 106, (254-269), (2017).
    • , Comparison of modeling methods to predict the spatial distribution of deep-sea coral and sponge in the Gulf of Alaska, Deep Sea Research Part I: Oceanographic Research Papers, 126, (148), (2017).
    • , Endemic grasshopper species distribution in an agro-natural landscape of the Cape Floristic Region, South Africa, Ecological Engineering, 105, (133), (2017).
    • , Effectiveness of conservation areas for protecting biodiversity and ecosystem services: a multi-criteria approach, International Journal of Biodiversity Science, Ecosystem Services & Management, 10.1080/21513732.2016.1200672, 13, 1, (1-13), (2016).
    • , Incorporating zoning and socioeconomic costs in planning for bird conservation, Journal for Nature Conservation, 40, (77), (2017).
    • , The global distribution of deep-water Antipatharia habitat, Deep Sea Research Part II: Topical Studies in Oceanography, 145, (79), (2017).
    • , Effects of climate change on the distribution of hoverfly species (Diptera: Syrphidae) in Southeast Europe, Biodiversity and Conservation, (2017).
    • , Ecological Niche Modeling Identifies Fine-Scale Areas at High Risk of Dengue Fever in the Pearl River Delta, China, International Journal of Environmental Research and Public Health, 14, 6, (619), (2017).
    • , Species distribution models for a migratory bird based on citizen science and satellite tracking data, Global Ecology and Conservation, 10.1016/j.gecco.2017.08.001, 11, (298-311), (2017).
    • , Factors affecting seasonal habitat use, and predicted range of two tropical deer in Indonesian rainforest, Acta Oecologica, 82, (41), (2017).
    • , Modelling Native and Invasive Woody Species: A Comparison of ENFA and MaxEnt Applied to the Azorean Forest, Modeling, Dynamics, Optimization and Bioeconomics II, 10.1007/978-3-319-55236-1_20, (415-444), (2017).
    • , Climate-change-induced range shifts of three allergenic ragweeds (Ambrosia L.) in Europe and their potential impact on human health, PeerJ, 5, (e3104), (2017).
    • , Use of geographical information system and ecological niche model to analyse potential exposure of small ruminants to Coxiella burnetii infection in central Greece, Small Ruminant Research, 147, (77), (2017).
    • , Seasonal variability in the structure and functional diversity of psammic rotifer communities: role of environmental parameters, Hydrobiologia, 796, 1, (287), (2017).
    • , Predictable invasion dynamics in North American populations of the Eurasian collared dove Streptopelia decaocto , Proceedings of the Royal Society B: Biological Sciences, 284, 1862, (20171157), (2017).
    • , Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists, PeerJ, 5, (e3632), (2017).
    • , Sensitivity of Korean fir ( Abies koreana Wils.), a threatened climate relict species, to increasing temperature at an island subalpine area, Ecological Modelling, 10.1016/j.ecolmodel.2017.01.018, 353, (5-16), (2017).
    • , SPEDInstabR: An algorithm based on a fluctuation index for selecting predictors in species distribution modeling, Ecological Informatics, 37, (18), (2017).
    • , Predicting the current potential and future world wide distribution of the onion maggot, Delia antiqua using maximum entropy ecological niche modeling, PLOS ONE, 12, 2, (e0171190), (2017).
    • , Palaeodistribution of epiphytic bromeliads points to past connections between the Atlantic and Amazon forests, Botanical Journal of the Linnean Society, 10.1093/botlinnean/bow020, 183, 3, (348-359), (2017).
    • , Examining current or future trade-offs for biodiversity conservation in north-eastern Australia, PLOS ONE, 12, 2, (e0172230), (2017).
    • , Hiding in a Cool Climatic Niche in the Tropics? An Assessment of the Ecological Biogeography of Hairy Long-Nosed Armadillos (Dasypus pilosus), Tropical Conservation Science, 10, (194008291769724), (2017).
    • , Ecological niche modeling and distribution of Ornithodoros hermsi associated with tick-borne relapsing fever in western North America, PLOS Neglected Tropical Diseases, 11, 10, (e0006047), (2017).
    • , The origin and phylogenetic relationships of the New Zealand ravens, Molecular Phylogenetics and Evolution, 106, (136), (2017).
    • , Ecological niche modeling to determine potential niche of Vaccinia virus: a case only study, International Journal of Health Geographics, 10.1186/s12942-017-0100-1, 16, 1, (2017).
    • , Systematics, distribution and conservation of Cascabela (Apocynaceae: Rauvolfioideae: Plumerieae) in Mexico, Plant Systematics and Evolution, 303, 3, (337), (2017).
    • , Gbm.auto: A software tool to simplify spatial modelling and Marine Protected Area planning, PLOS ONE, 12, 12, (e0188955), (2017).
    • , Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China, Global Ecology and Conservation, 10, (139), (2017).
    • , Landscape epidemiology in urban environments: The example of rodent-borne Trypanosoma in Niamey, Niger, Infection, Genetics and Evolution, 10.1016/j.meegid.2017.10.006, (2017).
    • , Species Distribution Modeling: Comparison of Fixed and Mixed Effects Models Using INLA, ISPRS International Journal of Geo-Information, 6, 12, (391), (2017).
    • , Comparison of habitat models for scarcely detected species, Ecological Modelling, 10.1016/j.ecolmodel.2016.12.013, 346, (88-98), (2017).
    • , I’m not like everybody else: urbanization factors shaping spatial distribution of native and invasive ants are species-specific, Urban Ecosystems, 10.1007/s11252-016-0576-7, 20, 1, (157-169), (2016).
    • , Potential distribution of Mikania micrantha Kunth in India − evidence of climatic niche and biome shifts, Flora, 234, (215), (2017).
    • , The interplay of various sources of noise on reliability of species distribution models hinges on ecological specialisation, PLOS ONE, 12, 11, (e0187906), (2017).
    • , Integrative species delimitation of the widespread North American jumping mice (Zapodinae), Molecular Phylogenetics and Evolution, 114, (137), (2017).
    • , Current and potential future distribution of the American dog tick ( Dermacentor variabilis , Say) in North America, Ticks and Tick-borne Diseases, 10.1016/j.ttbdis.2017.11.012, (2017).
    • , A Preliminary Range-Wide Distribution Model for the Sacramento Valley Red Fox, Journal of Fish and Wildlife Management, 8, 1, (28), (2017).
    • , Additions of landscape metrics improve predictions of occurrence of species distribution models, Journal of Forestry Research, 28, 5, (963), (2017).
    • , Full-coverage spatial distribution of epibenthic communities in the south-eastern North Sea in relation to habitat characteristics and fishing effort, Marine Environmental Research, 130, (1), (2017).
    • , Ecology and Space: A Case Study in Mapping Harmful Invasive Species, Mapping Across Academia, 10.1007/978-94-024-1011-2_4, (63-81), (2017).
    • , The potential habitats of two submerged macrophytes, Myriophyllum spicatum and Hydrilla verticillata in the river ecosystems, South Korea, Knowledge & Management of Aquatic Ecosystems, 418, (58), (2017).
    • , Potential of satellite-derived ecosystem functional attributes to anticipate species range shifts, International Journal of Applied Earth Observation and Geoinformation, 10.1016/j.jag.2016.12.009, 57, (86-92), (2017).
    • , Distribution and Drivers of a Widespread, Invasive Wetland Grass, Phragmites australis, in Wetlands of the Great Salt Lake, Utah, USA, Wetlands, 37, 1, (45), (2017).
    • , Mapping pedomemory of spodic morphology using a species distribution model, Geoderma, (2017).
    • , Phylogeographical structure and demographic expansion in the endemic alpine stream salamander (Hynobiidae: Batrachuperus) of the Qinling Mountains, Scientific Reports, 7, 1, (2017).
    • , Species traits and connectivity constrain stochastic community re-assembly, Scientific Reports, 10.1038/s41598-017-14774-2, 7, 1, (2017).
    • , Habitat suitability models for groundfish in the Gulf of Alaska, Deep Sea Research Part II: Topical Studies in Oceanography, (2017).
    • , South African mouse shrews (Myosorex) feel the heat: using species distribution models (SDMs) and IUCN Red List criteria to flag extinction risks due to climate change, Mammal Research, 62, 2, (149), (2017).
    • , The Mediterranean: the cradle of Anthoxanthum (Poaceae) diploid diversity, Annals of Botany, 10.1093/aob/mcx021, 120, 2, (285-302), (2017).
    • , The role of environment, dispersal and competition in explaining reduced co-occurrence among related species, PLOS ONE, 12, 11, (e0185493), (2017).
    • , Climate change and national crop wild relative conservation planning, Ambio, 10.1007/s13280-017-0905-y, 46, 6, (630-643), (2017).
    • , Designing protected area networks that translate international conservation commitments into national action, Biological Conservation, 214, (168), (2017).
    • , Predicting habitat suitability for the wart-biter bush cricket (Decticus verrucivorus) in Europe, Journal of Insect Conservation, 21, 2, (287), (2017).
    • , Taxonomic and geographic setting of Royle’s mountain vole Alticola roylei revisited, Mammalia, 81, 5, (2017).
    • , Mid-Pleistocene and Holocene demographic fluctuation of Scots pine ( Pinus sylvestris L.) in the Carpathian Mountains and the Pannonian Basin: Signs of historical expansions and contractions, Quaternary International, (2017).
    • , Future breeding and foraging sites of a southern edge population of the locally endangered Black Guillemot Cepphus grylle , Bird Study, 10.1080/00063657.2017.1358251, 64, 3, (306-316), (2017).
    • , Scat detection dogs, DNA and species distribution modelling reveal a diminutive geographical range for the Vulnerable small red brocket deer Mazama bororo, Oryx, 51, 04, (656), (2017).
    • , Comparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes, Scientific Reports, 10.1038/s41598-017-17946-2, 7, 1, (2017).
    • , Environmental and managerial factors associated with pack stock distribution in high elevation meadows: Case study from Yosemite National Park, Journal of Environmental Management, 10.1016/j.jenvman.2017.01.076, 193, (52-63), (2017).
    • , Predictions from machine learning ensembles: marine bird distribution and density on Canada’s Pacific coast, Marine Ecology Progress Series, 10.3354/meps12030, 566, (199-216), (2017).
    • , Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance, Malaria Journal, 16, 1, (2017).
    • , Habitat suitability and potential distribution of Laudakia nupta (De Filippi, 1843) (Sauria: Agamidae) in Iran, Russian Journal of Ecology, 48, 3, (275), (2017).
    • , Arctic science education using public museum collections from the University of Alaska Museum: an evolving and expanding landscape, Arctic Science, 3, 3, (635), (2017).
    • , Modeling of regional- and local-scale distribution of the genus Montrichardia Crueg. (Araceae), Hydrobiologia, 789, 1, (45), (2017).
    • , MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review, PeerJ, 5, (e3093), (2017).
    • , Contemporary Remotely Sensed Data Products Refine Invasive Plants Risk Mapping in Data Poor Regions, Frontiers in Plant Science, 8, (2017).
    • , Consensus methods based on machine learning techniques for marine phytoplankton presence–absence prediction, Ecological Informatics, 42, (46), (2017).
    • , Structural diversity as a habitat indicator for endangered lakeshore flora using an assemblage of common plant species in Atlantic Canada, Plant Ecology, 218, 11-12, (1339), (2017).
    • , Essence of the patterns of cover and richness of intertidal hard bottom communities: a pan-European study, Journal of the Marine Biological Association of the United Kingdom, 97, 03, (525), (2017).
    • , Potential distribution of saltcedar in Prairie Canada, Physical Geography, 38, 1, (36), (2017).
    • , The road to 2020 targets and the learnings from the emblematic South American plant genus Nassauvia (Asteraceae), Biodiversity and Conservation, 26, 2, (329), (2017).
    • , Systematic Review: Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping, International Journal of Environmental Research and Public Health, 14, 10, (1230), (2017).
    • , Genetics and species distribution modelling of Solanum johnsonianum (Solanaceae) reveal impacts of brigalow land clearing on this endemic species, Conservation Genetics, 18, 6, (1331), (2017).
    • , How to detect an elusive aquatic mammal in complex environments? A study of the Endangered Antillean manatee Trichechus manatus manatus in French Guiana, Oryx, (1), (2017).
    • , A new method for geochemical anomaly separation based on the distribution patterns of singularity indices, Computers & Geosciences, 105, (139), (2017).
    • , The present and likely past climatic distribution of the termite Microhodotermes viator in relation to the distribution of heuweltjies, Journal of Arid Environments, 10.1016/j.jaridenv.2017.07.010, 146, (35-43), (2017).
    • , Cold-water coral ecosystems in Cassidaigne Canyon: An assessment of their environmental living conditions, Deep Sea Research Part II: Topical Studies in Oceanography, 137, (436), (2017).
    • , Comparison of climate envelope models developed using expert-selected variables versus statistical selection, Ecological Modelling, 10.1016/j.ecolmodel.2016.11.016, 345, (10-20), (2017).
    • , Forecasting ecosystem responses to climate change across Africa's Albertine Rift, Biological Conservation, 10.1016/j.biocon.2017.03.015, 209, (464-472), (2017).
    • , On the distribution of the invasive long-spined echinoid Diadema setosum and its expansion in the Mediterranean Sea, Marine Ecology Progress Series, 583, (163), (2017).
    • , Narrow endemics in Mediterranean scrublands: high gene flow buffers genetic impoverishment in the annual monospecific Castrilanthemum (Asteraceae), Biodiversity and Conservation, 26, 11, (2607), (2017).
    • , Modeling the spatial distribution of larval fish abundance provides essential information for management, Canadian Journal of Fisheries and Aquatic Sciences, 74, 5, (636), (2017).
    • , Predictive modeling of deep-sea fish distribution in the Azores, Deep Sea Research Part II: Topical Studies in Oceanography, 10.1016/j.dsr2.2016.01.004, 145, (49-60), (2017).
    • , Social media and scientific research are complementary—YouTube and shrikes as a case study, The Science of Nature, 104, 5-6, (2017).
    • , Comparing the foraging strategies of a seabird predator when recovering from a drastic climatic event, Marine Biology, 164, 3, (2017).
    • , Post-breeding habitat association and occurrence of the Snow Partridge (Lerwa lerwa) on the Qinghai-Tibetan Plateau, west central China, Avian Research, 8, 1, (2017).
    • , Expansion of American marten (Martes americana) distribution in response to climate and landscape change on the Kenai Peninsula, Alaska, Journal of Mammalogy, 98, 3, (703), (2017).
    • , Interspecific Interactions as a Factor of Limitation of Geographical Distribution: Evidence Obtained by Modeling Home Ranges of Vole Twin Species Microtus Arvalis – M. Levis (Rodentia, Microtidae), Vestnik Zoologii, 51, 5, (2017).
    • , The influence of key environmental variables on phytoplankton community structure in the estuary of tidal rivers around Luoyuan Bay, China, Journal of Ocean University of China, 16, 5, (803), (2017).
    • , Why input matters: Selection of climate data sets for modelling the potential distribution of a treeline species in the Himalayan region, Ecological Modelling, 359, (92), (2017).
    • , Predictive distribution modelling of cold-water corals in the Newfoundland and Labrador region, Marine Ecology Progress Series, 582, (57), (2017).
    • , Forecasted range shifts of arid-land fishes in response to climate change, Reviews in Fish Biology and Fisheries, 10.1007/s11160-017-9479-9, 27, 2, (463-479), (2017).
    • , Potential effects of climate change on geographic distribution of the Tertiary relict tree species Davidia involucrata in China, Scientific Reports, 7, (43822), (2017).
    • , Shrubby cinquefoil (Dasiphora fruticosa (L.) Rydb.) mapping in Northwestern Estonia based upon site similarities, BMC Ecology, 17, 1, (2017).
    • , Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States, Biological Invasions, (2017).
    • , Spatial overlaps of foraging and resting areas of black-legged kittiwakes breeding in the English Channel with existing marine protected areas, Marine Biology, 164, 5, (2017).
    • , A New Strategy for the Prevention and Control of Eupatorium adenophorum under Climate Change in China, Sustainability, 9, 11, (2037), (2017).
    • , Predicting site productivity of the timber tree Pterocarpus angolensis, Southern Forests: a Journal of Forest Science, 79, 3, (259), (2017).
    • , Palaeodistribution modelling of European vegetation types at the Last Glacial Maximum using modern analogues from Siberia: Prospects and limitations, Quaternary Science Reviews, 10.1016/j.quascirev.2017.01.011, 159, (103-115), (2017).
    • , Predicting the potential distribution of main malaria vectors Anopheles stephensi, An. culicifacies s.l. and An. fluviatilis s.l. in Iran based on maximum entropy model, Acta Tropica, 169, (93), (2017).
    • , Species distribution models as a tool to predict range expansion after reintroduction: A case study on Eurasian beavers ( Castor fiber ), Journal for Nature Conservation, 10.1016/j.jnc.2017.02.008, 37, (12-20), (2017).
    • , Protecting bias: Across time and ecology, open-source bat locality data are heavily biased by distance to protected area, Ecological Informatics, 10.1016/j.ecoinf.2017.05.003, 40, (22-34), (2017).
    • , Ecological niche modeling and new distribution records of the central dwarf frog P. centralis Bokermann, 1962 (Anura, Leptodactylidae, Leiuperinae) with comments on its taxonomic status, Tropical Zoology, 30, 2, (49), (2017).
    • , Climate change adaptation of coffee production in space and time, Climatic Change, 141, 1, (47), (2017).
    • , Mosquito-Borne Diseases: Advances in Modelling Climate-Change Impacts, Trends in Parasitology, (2017).
    • , Predicting the potential risk area of illegal vaccine trade in China, Scientific Reports, 7, 1, (2017).
    • , Models of Arctic-alpine refugia highlight importance of climate and local topography, Polar Biology, 40, 3, (489), (2017).
    • , Climatic Similarity of Extant and Extinct Dasypus Armadillos, Journal of Mammalian Evolution, 24, 2, (193), (2017).
    • , IUCN greatly underestimates threat levels of endemic birds in the Western Ghats, Biological Conservation, 10.1016/j.biocon.2017.03.019, 210, (205-221), (2017).
    • , Potential impacts of climate change on habitat suitability for the Queensland fruit fly, Scientific Reports, 7, 1, (2017).
    • , Spatial, seasonal and climatic predictive models of Rift Valley fever disease across Africa, Philosophical Transactions of the Royal Society B: Biological Sciences, 10.1098/rstb.2016.0165, 372, 1725, (20160165), (2017).
    • , Predicting impacts of climate change on forest tree species of Bangladesh: evidence from threatened Dysoxylum binectariferum (Roxb.) Hook.f. ex Bedd. (Meliaceae), iForest - Biogeosciences and Forestry, 10, 1, (154), (2017).
    • , Historical biogeography and ecological niche modelling of the Asimina-Disepalum clade (Annonaceae): role of ecological differentiation in Neotropical-Asian disjunctions and diversification in Asia, BMC Evolutionary Biology, 17, 1, (2017).
    • , Spatio-temporal aspects of the environmental factors affecting water quality in boreal rivers, Environmental Earth Sciences, 10.1007/s12665-016-6338-2, 76, 1, (2016).
    • , Statistically reinforced machine learning for nonlinear patterns and variable interactions, Ecosphere, 8, 11, (2017).
    • 2017 IEEE 13th International Conference on e-Science (e-Science) Auckland 2017 IEEE 13th International Conference on e-Science (e-Science) IEEE , (2017). 978-1-5386-2686-3 Modelling the Coverage of Dipterocarp Trees in Central Visayas, Philippines , (2017). 561 565 8109196 , 10.1109/eScience.2017.91 http://ieeexplore.ieee.org/document/8109196/
    • , Decreasing desired opportunity for energy supply of a globally acclaimed biofuel crop in a changing climate, Renewable and Sustainable Energy Reviews, 10.1016/j.rser.2017.03.093, 76, (857-864), (2017).
    • , Predicted distribution of whales at risk: identifying priority areas to enhance cetacean monitoring in the Northwest Atlantic Ocean, Endangered Species Research, 10.3354/esr00823, 32, (437-458), (2017).
    • , MODELING ECOLOGICAL NICHE OF TREE SPECIES IN BRAZILIAN TROPICAL AREA, CERNE, 23, 2, (229), (2017).
    • , Delimiting priority areas for the conservation of endemic and threatened Neotropical birds using a niche-based gap analysis, PLOS ONE, 12, 2, (e0171838), (2017).
    • , Spatial patterns of road mortality of medium–large mammals in Mato Grosso do Sul, Brazil, Wildlife Research, 10.1071/WR16108, 44, 2, (135), (2017).
    • , Revealing areas of high nature conservation importance in a seasonally dry tropical forest in Brazil: Combination of modelled plant diversity hot spots and threat patterns, Journal for Nature Conservation, 10.1016/j.jnc.2016.11.004, 35, (24-39), (2017).
    • , Potential distribution of endangered Mexican golden trout (Oncorhynchus chrysogaster) in the Rio Sinaloa and Rio Culiacan basins (Sierra Madre Occidental) based on landscape characterization and species distribution models, Environmental Biology of Fishes, 100, 8, (981), (2017).
    • , Large-Scale Machine Learning for Species Distributions, Large-Scale Machine Learning in the Earth Sciences, 10.1201/9781315371740-6, (73-94), (2017).
    • , Environmental predictors of foraging and transit behaviour in flatback turtles Natator depressus, Endangered Species Research, 32, (333), (2017).
    • , A rebuttal to ‘Mooted extinction of koalas at Eden: improving the information base', Wildlife Research, 44, 7, (453), (2017).
    • , Sixty years of habitat decline: impact of land-cover changes in northern Italy on the decreasing ortolan bunting Emberiza hortulana , Regional Environmental Change, 17, 2, (323), (2017).
    • , Spatial and temporal distribution of house infestation by Triatoma infestans in the Toro Toro municipality, Potosi, Bolivia, Parasites & Vectors, 10, 1, (2017).
    • , Projecting present and future habitat suitability of ship-mediated aquatic invasive species in the Canadian Arctic, Biological Invasions, (2017).
    • , The impact of urbanization and population density on childhood Plasmodium falciparum parasite prevalence rates in Africa, Malaria Journal, 16, 1, (2017).
    • , The importance of data quality for generating reliable distribution models for rare, elusive, and cryptic species, PLOS ONE, 12, 6, (e0179152), (2017).
    • , Climatic-Induced Shifts in the Distribution of Teak (Tectona grandis) in Tropical Asia: Implications for Forest Management and Planning, Environmental Management, 10.1007/s00267-017-0884-6, 60, 3, (422-435), (2017).
    • , A modelling framework to predict bat activity patterns on wind farms: An outline of possible applications on mountain ridges of North Portugal, Science of The Total Environment, 10.1016/j.scitotenv.2016.12.135, 581-582, (337-349), (2017).
    • , Climate driven range divergence among host species affects range-wide patterns of parasitism, Global Ecology and Conservation, 9, (1), (2017).
    • , Delimiting the Geographic Distribution of Lygophis anomalus (Günther, 1858) (Squamata, Dipsadidae) from Natural History and Ecological Niche Modeling, South American Journal of Herpetology, 12, 1, (24), (2017).
    • , Performance of one-class classifiers for invasive species mapping using airborne imaging spectroscopy, Ecological Informatics, 37, (66), (2017).
    • , Applying multibeam sonar and mathematical modeling for mapping seabed substrate and biota of offshore shallows, Estuarine, Coastal and Shelf Science, 10.1016/j.ecss.2017.04.026, 192, (57-71), (2017).
    • , A multi-criteria approach to identify favorable areas for goat production systems in Veracruz, México, Tropical Animal Health and Production, 49, 4, (725), (2017).
    • , An Expanding Hybrid Zone between Black-Headed and Red-Headed Buntings in Northern Iran, Ardea, 105, 1, (27), (2017).
    • , Species distribution model for the ‘Northern’ Oak hairstreak (Satyrium favonius ontario) with comments on its conservation status in the northeastern United States, Journal of Insect Conservation, 21, 5-6, (781), (2017).
    • , Tropical high Andean drylands: species diversity and its environmental determinants in the Central Andes, Biodiversity and Conservation, 26, 6, (1257), (2017).
    • , Habitat distribution modelling to identify areas of high conservation value under climate change for Mangifera sylvatica Roxb. of Bangladesh, Land Use Policy, 60, (223), (2017).
    • , Prioritizing conservation areas for coastal plant diversity under increasing urbanization, Journal of Environmental Management, 10.1016/j.jenvman.2017.06.021, 201, (425-434), (2017).
    • , Ecology I, Biology of Oysters, 10.1016/B978-0-12-803472-9.00003-0, (89-138), (2017).
    • , Integrative modelling for One Health: pattern, process and participation, Philosophical Transactions of the Royal Society B: Biological Sciences, 10.1098/rstb.2016.0164, 372, 1725, (20160164), (2017).
    • , Holocene fen–bog transitions, current status in Finland and future perspectives, The Holocene, 10.1177/0959683616670471, 27, 5, (752-764), (2016).
    • , Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods, Ecological Informatics, 42, (79), (2017).
    • , Shifts in habitat suitability and the conservation status of the Endangered Andean cat Leopardus jacobita under climate change scenarios, Oryx, (1), (2017).
    • , Predicting Current and Future Distribution of Endangered Tree Dracaena ombet Kotschy and Peyr. Under Climate Change, Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 10.1007/s40011-015-0588-8, 87, 1, (225-232), (2015).
    • , The contribution of small collections to species distribution modelling: A case study from Fuireneae (Cyperaceae), Ecological Informatics, 10.1016/j.ecoinf.2017.09.009, 42, (67-78), (2017).
    • , Climate change, predictive modelling and grassland specialists: assessing impacts of changing climate on the long-term conservation of Lesser Grey Shrikes (Lanius minor) in Romania, Journal of Ornithology, (2017).
    • , Climatic zoning of chia (Salvia hispanica L.) in Chile using a species distribution model, Spanish Journal of Agricultural Research, 15, 3, (e0302), (2017).
    • , New records of an invasive bumble bee in northern Chile: expansion of its range or new introduction events?, Journal of Insect Conservation, 21, 4, (657), (2017).
    • , Spatial modelling provides a novel tool for estimating the landscape level distribution of greenhouse gas balances, Ecological Indicators, 10.1016/j.ecolind.2017.08.014, 83, (380-389), (2017).
    • , Landslide susceptibility assessment using maximum entropy model with two different data sampling methods, CATENA, 152, (144), (2017).
    • , Accounting for spatiotemporal dynamics in conservation planning for coastal fish in KwaZulu-Natal, South Africa, Biological Conservation, 209, (289), (2017).
    • , A practical overview of transferability in species distribution modeling, Environmental Reviews, 25, 1, (127), (2017).
    • , Predicting the shift of threatened ungulates’ habitats with climate change in Altun Mountain National Nature Reserve of the Northwestern Qinghai-Tibetan Plateau, Climatic Change, 142, 3-4, (331), (2017).
    • , Snails in the desert: Species diversification of Theba (Gastropoda: Helicidae) along the Atlantic coast of NW Africa, Ecology and Evolution, 7, 14, (5524-5538), (2017).
    • , The role of macroinvertebrates for conservation of freshwater systems, Ecology and Evolution, 7, 14, (5502-5513), (2017).
    • , Dispersal corridors for plant species in the Poyang Lake Basin of southeast China identified by integration of phylogeographic and geospatial data, Ecology and Evolution, 7, 14, (5140-5148), (2017).
    • , Shifts in the climate space of temperate cyprinid fishes due to climate change are coupled with altered body sizes and growth rates, Global Change Biology, 22, 9, (3221-3232), (2016).
    • , The pace of past climate change vs. potential bird distributions and land use in the United States, Global Change Biology, 22, 3, (1130-1144), (2015).
    • , Addressing potential local adaptation in species distribution models: implications for conservation under climate change, Ecological Applications, 26, 4, (1154-1169), (2016).
    • , ENM Components: a new set of web service‐based workflow components for ecological niche modelling, Ecography, 39, 4, (376-383), (2015).
    • , Statistical Modeling of Fire Occurrence Using Data from the Tōhoku, Japan Earthquake and Tsunami, Risk Analysis, 36, 2, (378-395), (2015).
    • , Limited transferability of stream‐fish distribution models among river catchments: reasons and implications, Freshwater Biology, 61, 5, (729-744), (2016).
    • , Large‐scale dark diversity estimates: new perspectives with combined methods, Ecology and Evolution, 6, 17, (6266-6281), (2016).
    • , Phylogeographic structure in long‐tailed voles (Rodentia: Arvicolinae) belies the complex Pleistocene history of isolation, divergence, and recolonization of Northwest North America's fauna, Ecology and Evolution, 6, 18, (6633-6647), (2016).
    • , Environmental (in)dependence of a hybrid zone: Insights from molecular markers and ecological niche modeling in a hybrid zone of Origanum (Lamiaceae) on the island of Crete, Ecology and Evolution, 6, 24, (8727-8739), (2016).
    • , Population status and distribution modelling of the critically endangered riverine rabbit (Bunolagus monticularis), African Journal of Ecology, 54, 2, (195-206), (2016).
    • , Stream diatom assemblages as predictors of climate, Freshwater Biology, 61, 6, (876-886), (2016).
    • , Refined assessment of the geographic distribution of Geoffroy's cat (Leopardus geoffroyi) (Mammalia: Felidae) in the Neotropics, Journal of Zoology, 298, 4, (285-292), (2015).
    • , Uncovering the role of the Western Mediterranean tectonics in shaping the diversity and distribution of the trap‐door spider genus Ummidia (Araneae, Ctenizidae), Journal of Biogeography, 43, 10, (1955-1966), (2016).
    • , Model‐specification uncertainty in future forest pest outbreak, Global Change Biology, 22, 4, (1595-1607), (2016).
    • , Shift in precipitation regime promotes interspecific hybridization of introduced Coffea species, Ecology and Evolution, 6, 10, (3240-3255), (2016).
    • , Phytogeography of New Guinean orchids: patterns of species richness and turnover, Journal of Biogeography, 43, 1, (204-214), (2015).
    • , Identifying key habitats for the conservation of Chilean dolphins in the fjords of southern Chile, Aquatic Conservation: Marine and Freshwater Ecosystems, 26, 3, (506-516), (2015).
    • , Combining trade data and niche modelling improves predictions of the origin and distribution of non‐native European populations of a globally invasive species, Journal of Biogeography, 43, 5, (967-978), (2016).
    • , Predicting and understanding spatio‐temporal dynamics of species recovery: implications for Asian crested ibis Nipponia nippon conservation in China, Diversity and Distributions, 22, 8, (893-904), (2016).
    • , Threatened or Data Deficient: assessing the conservation status of poorly known species, Diversity and Distributions, 22, 5, (558-565), (2016).
    • , Potential breeding distributions of U.S. birds predicted with both short‐term variability and long‐term average climate data, Ecological Applications, 26, 8, (2720-2731), (2016).
    • , Pronghorn habitat suitability in the Texas Panhandle, The Journal of Wildlife Management, 80, 8, (1471-1478), (2016).
    • , Advancing environmentally explicit structured population models of plants, Journal of Ecology, 104, 2, (292-305), (2016).
    • , Understanding nutrient dynamics in an African savanna: local biotic interactions outweigh a major regional rainfall gradient, Journal of Ecology, 104, 4, (913-923), (2016).
    • , Where are threatened ferns found? Global conservation priorities for pteridophytes, Journal of Systematics and Evolution, 54, 6, (604-616), (2016).
    • , Specialization among amphipods: the invasive Gammarus tigrinus has narrower niche space compared to native gammarids, Ecosphere, 7, 6, (2016).
    • , Predicting potential distribution of poorly known species with small database: the case of four‐horned antelope Tetracerus quadricornis on the Indian subcontinent, Ecology and Evolution, 6, 8, (2297-2307), (2016).
    • , Environmental‐mechanistic modelling of the impact of global change on human zoonotic disease emergence: a case study of Lassa fever, Methods in Ecology and Evolution, 7, 6, (646-655), (2016).
    • , Dynamic habitat suitability modelling reveals rapid poleward distribution shift in a mobile apex predator, Global Change Biology, 22, 3, (1086-1096), (2015).
    • , Soil microorganisms behave like macroscopic organisms: patterns in the global distribution of soil euglyphid testate amoebae, Journal of Biogeography, 43, 3, (520-532), (2015).
    • , Separate histories in both sides of the Mediterranean: phylogeny and niche evolution of ocellated lizards, Journal of Biogeography, 43, 6, (1242-1253), (2016).
    • , Species limits, geographical distribution and genetic diversity in Johannesteijsmannia (Arecaceae), Botanical Journal of the Linnean Society, 182, 2, (318-347), (2016).
    • , Climate and the distribution of grasses in West Africa, Journal of Vegetation Science, 27, 2, (306-317), (2016).
    • , Realized climate niche breadth varies with population trend and distribution in North American birds, Global Ecology and Biogeography, 25, 10, (1173-1180), (2016).
    • , Testing the efficiency of protected areas in the Amazon for conserving freshwater turtles, Diversity and Distributions, 22, 2, (123-135), (2015).
    • , Changes in distribution of waterbirds following prolonged drought reflect habitat availability in coastal and inland regions, Ecology and Evolution, 6, 18, (6672-6689), (2016).
    • , Altitudinal shifts of the native and introduced flora of California in the context of 20th‐century warming, Global Ecology and Biogeography, 25, 4, (418-429), (2016).
    • , Remotely sensed temperature and precipitation data improve species distribution modelling in the tropics, Global Ecology and Biogeography, 25, 4, (443-454), (2016).
    • , Historical dynamics of Batrachochytrium dendrobatidis in Amazonia, Ecography, 39, 10, (954-960), (2015).
    • , virtualspecies, an R package to generate virtual species distributions, Ecography, 39, 6, (599-607), (2015).
    • , Minimum required number of specimen records to develop accurate species distribution models, Ecography, 39, 6, (542-552), (2015).
    • , Simulated shifts in trophic niche breadth modulate range loss of alpine butterflies under climate change, Ecography, 39, 8, (796-804), (2015).
    • , Is phylogeography helpful for invasive species risk assessment? The case study of the bark beetle genus Dendroctonus, Ecography, 39, 12, (1197-1209), (2016).
    • , Synthetic datasets and community tools for the rapid testing of ecological hypotheses, Ecography, 39, 4, (402-408), (2015).
    • , Habitat selection by female moose in the Canadian prairie ecozone, The Journal of Wildlife Management, 80, 6, (1059-1068), (2016).
    • , Confronting species distribution model predictions with species functional traits, Ecology and Evolution, 6, 4, (873-879), (2016).
    • , Predicting the distributions of predator (snow leopard) and prey (blue sheep) under climate change in the Himalaya, Ecology and Evolution, 6, 12, (4065-4075), (2016).
    • , Spatial distribution modelling reveals climatically suitable areas for bumblebees in undersampled parts of the Iberian Peninsula, Insect Conservation and Diversity, 9, 5, (391-401), (2016).
    • , Response of the endangered tropical dry forests to climate change and the role of Mexican Protected Areas for their conservation, Global Change Biology, 22, 1, (364-379), (2015).
    • , Use of taxonomy to delineate spatial extent of atlas data for species distribution models, Global Ecology and Biogeography, 25, 2, (227-237), (2015).
    • , Climate is an important driver for stream diatom distributions, Global Ecology and Biogeography, 25, 2, (198-206), (2015).
    • , Evaluating the regional cumulative impact of wind farms on birds: how can spatially explicit dynamic modelling improve impact assessments and monitoring?, Journal of Applied Ecology, 53, 5, (1330-1340), (2015).
    • , Modelling the spatial distribution of beta diversity in Australian subtropical rainforest, Austral Ecology, 41, 2, (189-196), (2015).
    • , Modelling wildfire activity in Iberia with different atmospheric circulation weather types, International Journal of Climatology, 36, 7, (2761-2778), (2013).
    • , Using occupancy‐based surveys and multi‐model inference to estimate abundance and distribution of crested gibbons (Nomascus spp.) in central Laos, American Journal of Primatology, 78, 4, (462-472), (2015).
    • , Phylogenetic analysis of niche divergence reveals distinct evolutionary histories and climate change implications for tropical carnivorous pitcher plants, Diversity and Distributions, 22, 1, (97-110), (2015).
    • , Contemporary niche contraction affects climate change predictions for elephants and giraffes, Diversity and Distributions, 22, 4, (432-444), (2015).
    • , Climate and land‐use drivers of invasion: predicting the expansion of Vespa velutina nigrithorax into the Iberian Peninsula, Insect Conservation and Diversity, 9, 1, (27-37), (2015).
    • , Chimpanzee non‐avoidance of hyper‐proximity to humans, The Journal of Wildlife Management, 80, 5, (924-934), (2016).
    • , Using spatiotemporal correlative niche models for evaluating the effects of climate change on mountain pine beetle, Ecosphere, 7, 7, (2016).
    • , Paleodistribution modeling suggests glacial refugia in Scandinavia and out‐of‐Tibet range expansion of the Arctic fox, Ecology and Evolution, 6, 1, (170-180), (2015).
    • , On the selection of thresholds for predicting species occurrence with presence‐only data, Ecology and Evolution, 6, 1, (337-348), (2015).
    • , Patterns and drivers of plant functional group dominance across the Western Hemisphere: a macroecological re‐assessment based on a massive botanical dataset, Botanical Journal of the Linnean Society, 180, 2, (141-160), (2015).
    • , Effects of Pleistocene climate changes on species ranges and evolutionary processes in the Neotropical Atlantic Forest, Biological Journal of the Linnean Society, 119, 4, (856-872), (2016).
    • , Pine pest aphids of the genus Eulachnus (Hemiptera: Aphididae: Lachninae): how far can their range extend?, Agricultural and Forest Entomology, 18, 4, (398-408), (2016).
    • , Temporal transferability of stream fish distribution models: can uncalibrated SDMs predict distribution shifts over time?, Diversity and Distributions, 22, 6, (651-662), (2016).
    • , Wind conditions facilitate the seasonal water‐crossing behaviour of Oriental Honey‐buzzards Pernis ptilorhynchus over the East China Sea, Ibis, 158, 3, (506-518), (2016).
    • , Using remotely sensed data to model suitable habitats for tree species in a desert environment, Journal of Vegetation Science, 27, 1, (200-210), (2015).
    • , Description of Events Where African Buffaloes (yncerus caffer) Strayed from the Endemic Foot‐and‐Mouth Disease Zone in South Africa, 1998–2008, Transboundary and Emerging Diseases, 63, 3, (333-347), (2014).
    • , Fast and flexible Bayesian species distribution modelling using Gaussian processes, Methods in Ecology and Evolution, 7, 5, (598-608), (2016).
    • , Mixed population genomics support for the central marginal hypothesis across the invasive range of the cane toad (Rhinella marina) in Australia, Molecular Ecology, 25, 17, (4161-4176), (2016).
    • , ENiRG: R‐GRASS interface for efficiently characterizing the ecological niche of species and predicting habitat suitability, Ecography, 39, 6, (593-598), (2015).
    • , A spatial multicriteria decision analysis for selecting priority sites for plant species restoration: a case study from the Chilean biodiversity hotspot, Restoration Ecology, 24, 5, (599-608), (2016).
    • , sdm: a reproducible and extensible R platform for species distribution modelling, Ecography, 39, 4, (368-375), (2016).
    • , Sugar Loaf Land in south‐eastern Brazil: a centre of diversity for mat‐forming bromeliads on inselbergs, Botanical Journal of the Linnean Society, 181, 3, (459-476), (2016).
    • , Plateau: a new method for ecologically plausible climate envelopes for species distribution modelling, Methods in Ecology and Evolution, 7, 12, (1489-1502), (2016).
    • , Palaeoniches get stitches: analyses of niches informing macroevolutionary theory, Lethaia, 49, 2, (145-149), (2016).
    • , Ecological divergence of two closely related Roscoea species associated with late Quaternary climate change, Journal of Biogeography, 43, 10, (1990-2001), (2016).
    • , Modelling the potential distribution, net primary production and phenology of common ragweed with a physiological model, Journal of Biogeography, 43, 3, (544-554), (2015).
    • , Real-time estimation of wildfire perimeters from curated crowdsourcing, Scientific Reports, 6, 1, (2016).
    • , A biodiversity hotspot losing its top predator: The challenge of jaguar conservation in the Atlantic Forest of South America, Scientific Reports, 6, 1, (2016).
    • , Improving spatial prioritisation for remote marine regions: optimising biodiversity conservation and sustainable development trade-offs, Scientific Reports, 6, 1, (2016).
    • , Mapping the climatic suitable habitat of oriental arborvitae (Platycladus orientalis) for introduction and cultivation at a global scale, Scientific Reports, 6, 1, (2016).
    • , Modelagem preditiva de distribuição de espécies pioneiras no Estado de Minas Gerais, Pesquisa Agropecuária Brasileira, 51, 3, (207), (2016).
    • , The scaling of geographic ranges: implications for species distribution models, Landscape Ecology, 31, 6, (1195), (2016).
    • , Predicting the Distribution ofPhlebotomus papatasi(Diptera: Psychodidae), the Primary Vector of Zoonotic Cutaneous Leishmaniasis, in Golestan Province of Iran Using Ecological Niche Modeling: Comparison of MaxEnt and GARP Models, Journal of Medical Entomology, (tjw178), (2016).
    • , Progress and Challenges in Infectious Disease Cartography, Trends in Parasitology, 32, 1, (19), (2016).
    • , Contrasting habitat selection amongst cephalopods in the Mediterranean Sea: When the environment makes the difference, Marine Environmental Research, 119, (252), (2016).
    • , Aedes albopictus and Its Environmental Limits in Europe, PLOS ONE, 11, 9, (e0162116), (2016).
    • , Niche partitioning by three Pterodroma petrel species during non-breeding in the equatorial Pacific Ocean, Marine Ecology Progress Series, 549, (217), (2016).
    • , Adoption of Machine Learning Techniques in Ecology and Earth Science, One Ecosystem, 1, (e8621), (2016).
    • , Modelling the Distribution of Forest-Dependent Species in Human-Dominated Landscapes: Patterns for the Pine Marten in Intensively Cultivated Lowlands, PLOS ONE, 11, 7, (e0158203), (2016).
    • , Quantifying the impacts of sea-level rise on coastal biodiversity: A case study on lichens in the mid-Atlantic Coast of eastern North America, Biological Conservation, 10.1016/j.biocon.2016.08.031, 202, (119-126), (2016).
    • , Land Use and Land Cover Change in Protected Areas: Using Remote Sensing to Survey Suitable Habitats of Brown BearUrsus arctos, Polish Journal of Ecology, 64, 3, (420), (2016).
    • , Estimating absence locations of marine species from data of scientific surveys in OBIS, Ecological Modelling, 323, (61), (2016).
    • , Population and Ecological Genetics in Restoration Ecology, Foundations of Restoration Ecology, 10.5822/978-1-61091-698-1_5, (123-152), (2016).
    • , Projected direct and indirect effects of climate change on the Swift Parrot, an endangered migratory species, Emu - Austral Ornithology, 116, 3, (273), (2016).
    • , Potential Implications of Climate Change on Aegilops Species Distribution: Sympatry of These Crop Wild Relatives with the Major European Crop Triticum aestivum and Conservation Issues, PLOS ONE, 11, 4, (e0153974), (2016).
    • , Which Factors Determine Spatial Segregation in the South American Opossums (Didelphis aurita and D. albiventris)? An Ecological Niche Modelling and Geometric Morphometrics Approach, PLOS ONE, 11, 6, (e0157723), (2016).
    • , Climate change fosters the decline of epiphytic Lobaria species in Italy, Biological Conservation, 201, (377), (2016).
    • , Climate change impacts on endemic, high-elevation lichens in a biodiversity hotspot, Biodiversity and Conservation, 25, 3, (555), (2016).
    • , Dissolved organic carbon and its potential predictors in eutrophic lakes, Water Research, 102, (32), (2016).
    • , Modeling habitat preferences of Caspian kutum, Rutilus frisii kutum (Kamensky, 1901) (Actinopterygii, Cypriniformes) in the Caspian Sea, Hydrobiologia, 766, 1, (103), (2016).
    • , Predicting the distribution of rubber trees (Hevea brasiliensis) through ecological niche modelling with climate, soil, topography and socioeconomic factors, Ecological Research, 31, 1, (75-91), (2015).
    • , Distributional modeling of Mantophasmatodea (Insecta: Notoptera): a preliminary application and the need for future sampling, Organisms Diversity & Evolution, 16, 1, (259), (2016).
    • , Distribution and spatial modelling of a soft coral habitat in the Port Stephens–Great Lakes Marine Park: implications for management, Marine and Freshwater Research, 10.1071/MF14059, 67, 2, (256), (2016).
    • , Effects of Sample Size, Sample Accuracy and Environmental Variables on Predictive Performance of MaxEnt Model, Polish Journal of Ecology, 10.3161/15052249PJE2016.64.3.001, 64, 3, (303-312), (2016).
    • , Effects of climate change on the distribution of endemic Ferula xylorhachis Rech.f. (Apiaceae: Scandiceae) in Iran: Predictions from ecological niche models, Russian Journal of Ecology, 47, 4, (349), (2016).
    • , Mapping the Distribution of Anthrax in Mainland China, 2005–2013, PLOS Neglected Tropical Diseases, 10, 4, (e0004637), (2016).
    • , Freshwater vertebrate and invertebrate diversity patterns in an Andean-Amazon basin: implications for conservation efforts, Neotropical Biodiversity, 2, 1, (99), (2016).
    • , Shedding light on the effects of climate change on the potential distribution of Xylella fastidiosa in the Mediterranean basin, Biological Invasions, 10.1007/s10530-016-1118-1, 18, 6, (1759-1768), (2016).
    • , Knowing the past to forecast the future: a case study on a relictual, endemic species of the SW Alps, Berardia subacaulis, Regional Environmental Change, 16, 4, (1035), (2016).
    • , A Current Perspective on the Historical Geographic Distribution of the Endangered Muriquis (Brachyteles spp.): Implications for Conservation, PLOS ONE, 11, 3, (e0150906), (2016).
    • , Identifying the controls on coastal cliff landslides using machine-learning approaches, Environmental Modelling & Software, 76, (117), (2016).
    • , Niche conservatism in Gynandropaa frogs on the southeastern Qinghai-Tibetan Plateau, Scientific Reports, 6, 1, (2016).
    • , Real-time species distribution models for conservation and management of natural resources in marine environments, Marine Ecology Progress Series, 542, (221), (2016).
    • , Revision of widespread red squirrels (genus: Tamiasciurus) highlights the complexity of speciation within North American forests, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2016.04.014, 100, (170-182), (2016).
    • , The evolutionary history of Eugenia sect. Phyllocalyx (Myrtaceae) corroborates historically stable areas in the southern Atlantic forests , Annals of Botany, 10.1093/aob/mcw209, 118, 7, (1209-1223), (2016).
    • , Little overlap in suitable habitat niches between three species of a southern African millipede genus, pirostreptus Brandt 1833 (Diplopoda, Spirostreptida, Spirostreptidae), African Journal of Ecology, 54, 2, (248-251), (2016).
    • , Immigration and early life stages recruitment of the European flounder (Platichthys flesus) to an estuarine nursery: The influence of environmental factors, Journal of Sea Research, 10.1016/j.seares.2015.07.005, 107, (56-66), (2016).
    • , ‘Murundus’ structures in the semi-arid region of Brazil: testing their geographical congruence with mound-building termites (Blattodea: Termitoidea: Termitidae), Annales de la Société entomologique de France (N.S.), 52, 6, (369), (2016).
    • , Insight and Intelligence, Intelligent Enterprise in the Era of Big Data, The, (51-108), (2016).
    • , Predicting change of suitable plantation of Schisandra chinensis with ensemble of climate change scenario, Journal of Environmental Impact Assessment, 25, 1, (77), (2016).
    • , Monitoring potential geographical distribution of four wild bird species in China, Environmental Earth Sciences, 75, 9, (2016).
    • , Patterns of forest composition and their long term environmental drivers in the tropical dry forest transition zone of southern Africa, Forest Ecosystems, 10.1186/s40663-016-0080-9, 3, 1, (2016).
    • , Artificial neural network approach to population dynamics of harmful algal blooms in Alfacs Bay (NW Mediterranean): Case studies of Karlodinium and Pseudo-nitzschia, Ecological Modelling, 338, (37), (2016).
    • , Patchiness of forest landscape can predict species distribution better than abundance: the case of a forest-dwelling passerine, the short-toed treecreeper, in central Italy, PeerJ, 4, (e2398), (2016).
    • , Ecological niche modelling of three Mediterranean pine species in the south of Spain: a tool for afforestation/reforestation programs in the twenty-first century, New Forests, 10.1007/s11056-015-9523-3, 47, 3, (411-429), (2015).
    • , Summer-Habitat Suitability Modeling of Myotis sodalis (Indiana Bat) in the Eastern Mountains of West Virginia , Northeastern Naturalist, 10.1656/045.023.0107, 23, 1, (100-117), (2016).
    • , Conserving Egypt's reptiles under climate change, Journal of Arid Environments, 10.1016/j.jaridenv.2015.12.007, 127, (211-221), (2016).
    • , Using species distribution models to assess the importance of Egypt's protected areas for the conservation of medicinal plants, Journal of Arid Environments, 135, (140), (2016).
    • , Peripatric speciation of an endemic species driven by Pleistocene climate change: The case of the Mexican prairie dog ( Cynomys mexicanus ), Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2015.08.027, 94, (171-181), (2016).
    • , Ecological niche differentiation and taxonomic distinction betweenEremias strauchi strauchiandEremias strauchi kopetdaghica(Squamata: Lacertidae) on the Iranian Plateau based on ecological niche modeling, Italian Journal of Zoology, 83, 3, (408), (2016).
    • , Habitat Suitability Model for the Distribution ofIxodes scapularis(Acari: Ixodidae) in Minnesota, Journal of Medical Entomology, 53, 3, (598), (2016).
    • , The bad and the super-bad: prioritising the threat of six invasive alien to three imperilled native crayfishes, Biological Invasions, 10.1007/s10530-016-1141-2, 18, 7, (1967-1988), (2016).
    • , Diversity patterns of seasonal wetland plant communities mainly driven by rare terrestrial species, Biodiversity and Conservation, 10.1007/s10531-016-1139-1, 25, 8, (1569-1585), (2016).
    • , Migratory Birds as Global Dispersal Vectors, Trends in Ecology & Evolution, 31, 10, (763), (2016).
    • , Evaluating habitat connectivity methodologies: a case study with endangered African wild dogs in South Africa, Landscape Ecology, 10.1007/s10980-016-0342-5, 31, 7, (1433-1447), (2016).
    • , Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges?, Ecological Modelling, 10.1016/j.ecolmodel.2016.10.004, 342, (135-146), (2016).
    • , Improving spatial transferability of ecological niche model of Hevea brasiliensis using pooled occurrences of introduced ranges in two biogeographic regions of India, Ecological Informatics, 34, (153), (2016).
    • , Development and evaluation of species distribution models for five endangered elasmobranchs in southwestern Atlantic, Hydrobiologia, 10.1007/s10750-016-2796-5, 779, 1, (11-33), (2016).
    • , The distribution of an invasive fish species is highly affected by the presence of native fish species: evidence based on species distribution modelling, Biological Invasions, 18, 2, (427), (2016).
    • , Geographical distribution of Trissolcus grandis (Scelionidae), egg parasitoid of sunn pest, Eurygaster integriceps Puton (Hemiptera: Scutelleridae) in Iran, Journal of Asia-Pacific Entomology, 19, 1, (127), (2016).
    • , Priorities for Conservation of the Evolutionary History of Amphibians in the Cerrado, Biodiversity Conservation and Phylogenetic Systematics, 10.1007/978-3-319-22461-9_14, (287-304), (2016).
    • , Predicting common bottlenose dolphin habitat preference to dynamically adapt management measures from a Marine Spatial Planning perspective, Ocean & Coastal Management, 10.1016/j.ocecoaman.2016.07.004, 130, (317-327), (2016).
    • , Modelling cetacean distribution and mapping overlap with fisheries in the northeast Atlantic, Ocean & Coastal Management, 134, (140), (2016).
    • , Food safety trends: From globalization of whole genome sequencing to application of new tools to prevent foodborne diseases, Trends in Food Science & Technology, 57, (188), (2016).
    • , Geospatial modeling approach to monument construction using Michigan from A.D. 1000–1600 as a case study, Proceedings of the National Academy of Sciences, 113, 27, (7443), (2016).
    • , Predicting shifts in the climate space of freshwater fishes in Great Britain due to climate change, Biological Conservation, 203, (33), (2016).
    • , Aedes albopictus and Aedes japonicus - two invasive mosquito species with different temperature niches in Europe, Parasites & Vectors, 9, 1, (2016).
    • , Aplicación de modelos de nicho ecológico para la localización de seis plantas amenazadas en el Parque Natural de Els Ports (noreste de la Península Ibérica), Pirineos, 171, 0, (e017), (2016).
    • , A multi-scale approach to identify invasion drivers and invaders’ future dynamics, Biological Invasions, 10.1007/s10530-015-1015-z, 18, 2, (411-426), (2015).
    • , Future Risks of Pest Species under Changing Climatic Conditions, PLOS ONE, 11, 4, (e0153237), (2016).
    • , Predictive Distribution Modelling of Calamus andamanicus Kurz, an Endemic Rattan from Andaman and Nicobar Islands, India, Journal of Forest and Environmental Science, 32, 1, (94), (2016).
    • , Modeling the Potential Distribution and Richness of Cetaceans in the Azores from Fisheries Observer Program Data, Frontiers in Marine Science, 3, (2016).
    • , Predicting environmental mitigation requirements for hydropower projects through the integration of biophysical and socio-political geographies, Science of The Total Environment, 566-567, (888), (2016).
    • , Maximum Entropy Niche-Based Modeling (Maxent) of Potential Geographical Distribution ofCoreura albicosta(Lepidoptera: Erebidae: Ctenuchina) in Mexico, Florida Entomologist, 99, 3, (376), (2016).
    • , A continent-wide analysis of the shade requirements of red and western grey kangaroos, Temperature, 3, 2, (340), (2016).
    • , Validation and improvement of species distribution models for structure-forming invertebrates in the eastern Bering Sea with an independent survey, Marine Ecology Progress Series, 551, (117), (2016).
    • , Limitations to the Use of Species-Distribution Models for Environmental-Impact Assessments in the Amazon, PLOS ONE, 11, 1, (e0146543), (2016).
    • , Predicting species richness and distribution ranges of centipedes at the northern edge of Europe, Acta Oecologica, 10.1016/j.actao.2016.03.006, 74, (1-10), (2016).
    • , Anthropogenic climate change drives shift and shuffle in North Atlantic phytoplankton communities, Proceedings of the National Academy of Sciences, 10.1073/pnas.1519080113, 113, 11, (2964-2969), (2016).
    • , Invasion risk of the pond slider turtle is underestimated when niche expansion occurs, Freshwater Biology, 61, 7, (1119-1127), (2016).
    • , Flow cytometry, microsatellites and niche models reveal the origins and geographical structure ofAlnus glutinosapopulations in Europe, Annals of Botany, 117, 1, (107), (2016).
    • , Testing the effectiveness of surrogate species for conservation planning in the Greater Virunga Landscape, Africa, Landscape and Urban Planning, 145, (1), (2016).
    • , Seasonal habitat suitability modeling and factors affecting the distribution of Asian Houbara in East Iran, Heliyon, 2, 8, (e00142), (2016).
    • , Should I stay or should I go? Climate change effects on the future of Neotropical savannah bats, Global Ecology and Conservation, 10.1016/j.gecco.2015.11.011, 5, (22-33), (2016).
    • , Priority areas for conservation of beach and dune vegetation of the Mexican Atlantic coast, Journal for Nature Conservation, 33, (25), (2016).
    • , Species distribution modelling leads to the discovery of new populations of one of the least known European snakes, Vipera ursinii graeca, in Albania, Amphibia-Reptilia, 10.1163/15685381-00003031, 37, 1, (55-68), (2016).
    • , Spatial prediction of demersal fish diversity in the Baltic Sea: comparison of machine learning and regression-based techniques, ICES Journal of Marine Science: Journal du Conseil, (fsw136), (2016).
    • , Application of species distribution models for protected areas threatened by invasive plants, Journal for Nature Conservation, 10.1016/j.jnc.2016.08.004, 34, (1-7), (2016).
    • , Ensemble squid habitat model using three-dimensional ocean data, ICES Journal of Marine Science: Journal du Conseil, 73, 7, (1863), (2016).
    • , Assessment of the Geographic Distribution of Ornithodoros turicata (Argasidae): Climate Variation and Host Diversity, PLOS Neglected Tropical Diseases, 10, 2, (e0004383), (2016).
    • , Patterns of niche overlapping and richness amongGeocorisspecies (Hemiptera: Geocoridae) in Iran, Biocontrol Science and Technology, 26, 9, (1197), (2016).
    • , The Impact of Global Climate Change on the Geographic Distribution and Sustainable Harvest of Hancornia speciosa Gomes (Apocynaceae) in Brazil, Environmental Management, 57, 4, (814), (2016).
    • , Restoration and conservation potential of destroyed Qinghai spruce (Picea crassifolia) forests in the Qilian Mountains of northwest China, Mitigation and Adaptation Strategies for Global Change, 21, 2, (153), (2016).
    • , Environmental variables and definitive host distribution: a habitat suitability modelling for endohelminth parasites in the marine realm, Scientific Reports, 10.1038/srep30246, 6, 1, (2016).
    • , Prediction of the Distribution of Alpine Tree Species Under Climate Change Scenarios:Larix chinensisin Taibai Mountain (China), Polish Journal of Ecology, 64, 2, (200), (2016).
    • , Predicting spawning locations and modelling the spatial extent of post hatch areas for fishes in a shallow coastal habitat in South Africa, Marine Ecology Progress Series, 560, (223), (2016).
    • , The effects of model and data complexity on predictions from species distributions models, Ecological Modelling, 326, (4), (2016).
    • , Anthropogenic and Climatic Effects on the Distribution of Eulemur Species: An Ecological Niche Modeling Approach, International Journal of Primatology, 10.1007/s10764-015-9875-8, 37, 1, (47-68), (2015).
    • , Using Random Forest to Improve the Downscaling of Global Livestock Census Data, PLOS ONE, 11, 3, (e0150424), (2016).
    • , Measuring the realized niches of animals using stable isotopes: from rats to bears, Methods in Ecology and Evolution, 7, 2, (210-221), (2015).
    • , Divergent lineages and conserved niches: using ecological niche modeling to examine the evolutionary patterns of the Nile monitor (Varanus niloticus), Evolutionary Ecology, 30, 3, (471), (2016).
    • , Investigation of a novel approach for aquaculture site selection, Journal of Environmental Management, 181, (791), (2016).
    • , Predicting distribution of major forest tree species to potential impacts of climate change in the central Himalayan region, Ecological Engineering, 10.1016/j.ecoleng.2016.10.006, 97, (593-609), (2016).
    • , Predicting Future Effects of Multiple Drivers of Extinction Risk in Peru’s Endemic Primate Fauna, Ethnoprimatology, 10.1007/978-3-319-30469-4_18, (315-349), (2016).
    • , Prediction of Potential Distributions of Two Invasive Alien Plants, Paspalum distichum and Ambrosia artemisiifolia, Using Species Distribution Model in Korean Peninsula, Ecology and Resilient Infrastructure, 3, 3, (189), (2016).
    • , Habitat Suitability Modeling of the Federally Endangered Poweshiek Skipperling in Michigan, Journal of Fish and Wildlife Management, 7, 2, (359), (2016).
    • , The limits of direct community modeling approaches for broad-scale predictions of ecological assemblage structure, Biological Conservation, 10.1016/j.biocon.2016.07.026, 201, (396-404), (2016).
    • , Spatial Heterogeneity of Habitat Suitability for Rift Valley Fever Occurrence in Tanzania: An Ecological Niche Modelling Approach, PLOS Neglected Tropical Diseases, 10, 9, (e0005002), (2016).
    • , A habitat quality indicator for common birds in Europe based on species distribution models, Ecological Indicators, 69, (488), (2016).
    • , A review of Computational Intelligence techniques in coral reef-related applications, Ecological Informatics, 10.1016/j.ecoinf.2016.01.008, 32, (107-123), (2016).
    • , Worldwide Alien Invasion: A Methodological Approach to Forecast the Potential Spread of a Highly Invasive Pollinator, PLOS ONE, 11, 2, (e0148295), (2016).
    • , Lake bathymetry and species occurrence predict the distribution of a lacustrine apex predator, Journal of Fish Biology, 88, 4, (1648), (2016).
    • , A global assessment of a large monocot family highlights the need for group-specific analyses of invasiveness, AoB Plants, 10.1093/aobpla/plw009, 8, (plw009), (2016).
    • , Using ecological niche models to predict the impact of global climate change on the geographical distribution and productivity of Euterpe oleracea Mart. (Arecaceae) in the Amazon, Acta Botanica Brasilica, 30, 2, (290), (2016).
    • , Bioclimatic modelling of current and projected climatic suitability of coffee (Coffea arabica) production in Zimbabwe, Regional Environmental Change, 16, 2, (473), (2016).
    • , Prediction on Habitat Distribution in Mt. Inwang and Mt. An Using Maxent, Journal of Environmental Impact Assessment, 25, 6, (432), (2016).
    • , Where to Combat Shrub Encroachment in Alpine Timberline Ecosystems: Combining Remotely-Sensed Vegetation Information with Species Habitat Modelling, PLOS ONE, 11, 10, (e0164318), (2016).
    • , Predicting the potential environmental suitability for Theileria orientalis transmission in New Zealand cattle using maximum entropy niche modelling, Veterinary Parasitology, 224, (82), (2016).
    • , Simulation of potential habitat overlap between red deer (Cervus elaphus) and roe deer (Capreolus capreolus) in northeastern China, PeerJ, 4, (e1756), (2016).
    • , Species distribution models grounded in ecological theory for decision support in river management, Ecological Modelling, 10.1016/j.ecolmodel.2015.12.016, 325, (1-12), (2016).
    • , Mapping National Plant Biodiversity Patterns in South Korea with the MARS Species Distribution Model, PLOS ONE, 11, 3, (e0149511), (2016).
    • , Niche Divergence in a Brown Lemur (Eulemur spp.) Hybrid Zone: Using Ecological Niche Models to Test Models of Stability, International Journal of Primatology, 10.1007/s10764-015-9872-y, 37, 1, (69-88), (2015).
    • , An integrative approach to regional mapping of suitable habitat for the Blanding’s turtle ( Emydoidea blandingii ) on islands in Georgian Bay, Lake Huron, Global Ecology and Conservation, 10.1016/j.gecco.2016.03.006, 6, (219-231), (2016).
    • , Clade-level Spatial Modelling of HPAI H5N1 Dynamics in the Mekong Region Reveals New Patterns and Associations with Agro-Ecological Factors, Scientific Reports, 6, 1, (2016).
    • , Climate envelope predictions indicate an enlarged suitable wintering distribution for Great Bustards (Otis tarda dybowskii) in China for the 21st century, PeerJ, 4, (e1630), (2016).
    • , Climate-associated distribution of summer maize in China from 1961 to 2010, Agriculture, Ecosystems & Environment, 10.1016/j.agee.2016.08.020, 232, (326-335), (2016).
    • , Mapping intra-urban malaria risk using high resolution satellite imagery: a case study of Dar es Salaam, International Journal of Health Geographics, 15, 1, (2016).
    • , A high-resolution model of bat diversity and endemism for continental Africa, Ecological Modelling, 10.1016/j.ecolmodel.2015.09.009, 320, (9-28), (2016).
    • , Phylogenetic and morphologic evidence confirm the presence of a new montane cloud forest associated bird species in Mexico, the Mountain Elaenia (Elaenia frantzii; Aves: Passeriformes: Tyrannidae), PeerJ, 4, (e1598), (2016).
    • , Impacts of land use and infrastructural changes on threatened Little Bustard Tetrax tetrax breeding populations: quantitative assessments using a recently developed spatially explicit dynamic modelling framework, Bird Conservation International, 26, 04, (418), (2016).
    • , Crowdsourcing Modern and Historical Data Identifies Sperm Whale (Physeter macrocephalus) Habitat Offshore of South-Western Australia, Frontiers in Marine Science, 3, (2016).
    • , Bayesian methods for comparing species physiological and ecological response curves, Ecological Informatics, 34, (35), (2016).
    • , Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring, PLOS ONE, 11, 7, (e0158788), (2016).
    • , Testing remotely-sensed predictors of meso-carnivore habitat use in Mediterranean ecosystems, Landscape Ecology, 10.1007/s10980-016-0360-3, 31, 8, (1763-1780), (2016).
    • , Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets, Applied Soil Ecology, 97, (61), (2016).
    • , Maxent modeling for predicting the potential distribution of endangered medicinal plant (H. riparia Lour) in Yunnan, China, Ecological Engineering, 10.1016/j.ecoleng.2016.04.010, 92, (260-269), (2016).
    • , Mexican alpine plants in the face of global warming: potential extinction within a specialized assemblage of narrow endemics, Biodiversity and Conservation, 25, 5, (865), (2016).
    • , Searching for trends in river dolphin abundance: Designing surveys for looming threats, and evidence for opposing trends of two species in the Colombian Amazon, Biological Conservation, 195, (136), (2016).
    • , Possible Ballast Water Transfer of Lionfish to the Eastern Pacific Ocean, PLOS ONE, 11, 11, (e0165584), (2016).
    • , ¿Dónde cultivar el árbol milagro, Moringa oleifera, en México? Un análisis de su distribución potencial, Revista Mexicana de Biodiversidad, 10.1016/j.rmb.2016.07.007, 87, 3, (1089-1102), (2016).
    • , Investigation of current and future potential distribution of Astragalus gossypinus in Central Iran using species distribution modelling, Arabian Journal of Geosciences, 9, 1, (2016).
    • , Predicted Pleistocene–Holocene range shifts of the tiger (Panthera tigris), Diversity and Distributions, 22, 11, (1199-1211), (2016).
    • , Idiosyncratic responses of evergreen broad-leaved forest constituents in China to the late Quaternary climate changes, Scientific Reports, 10.1038/srep31044, 6, 1, (2016).
    • , The ShearStress importance on the spatial distribution pattern of the invader Limnoperna fortunei in the Upper Paraná River Basin. - An assessment based on the Spatial Distribution Models, Biota Neotropica, 16, 1, (2016).
    • , Home range, habitat suitability and population modelling of feral Indian peafowl (Pavo cristatus) on Kangaroo Island, South Australia, Australian Journal of Zoology, 64, 2, (107), (2016).
    • , Union of phylogeography and landscape genetics, Proceedings of the National Academy of Sciences, 10.1073/pnas.1601073113, 113, 29, (8079-8086), (2016).
    • , Modeling the habitat suitability for the arbovirus vector Aedes albopictus (Diptera: Culicidae) in Germany, Parasitology Research, 115, 3, (957), (2016).
    • , Modeling the distributions of useful woody species in eastern Burkina Faso, Journal of Arid Environments, 135, (104), (2016).
    • , Cross validation in LASSO and its acceleration, Journal of Statistical Mechanics: Theory and Experiment, 2016, 5, (053304), (2016).
    • , Distribution modelling of vegetation types in the boreal–alpine ecotone, Applied Vegetation Science, 19, 3, (528-540), (2016).
    • , Modelación de la distribución del oso andino Tremarctos ornatus en el bosque seco del Marañón (Perú), Revista Mexicana de Biodiversidad, 87, 1, (230), (2016).
    • , Assessing how habitat loss restricts the geographic range of Neotropical anurans, Ecological Research, 31, 6, (913-921), (2016).
    • , Modeling co-occurrence between toxic prey and naïve predators in an incipient invasion, Biodiversity and Conservation, 25, 13, (2723), (2016).
    • , Do community-level models account for the effects of biotic interactions? A comparison of community-level and species distribution modeling of Rocky Mountain conifers, Plant Ecology, 217, 5, (533), (2016).
    • , Effects of spatial resolution on predicting the distribution of aquatic invasive species in nearshore marine environments, Marine Ecology Progress Series, 556, (17), (2016).
    • , Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin, Remote Sensing, 8, 12, (370), (2016).
    • , Empirical realised niche models for British coastal plant species, Journal of Coastal Conservation, 20, 2, (107), (2016).
    • , Modeling the risk of spread and establishment for Asian longhorned beetle (Anoplophora glabripennis) in Massachusetts from 2008-2009, Geocarto International, 31, 8, (813), (2016).
    • , Coupling Satellite Data with Species Distribution and Connectivity Models as a Tool for Environmental Management and Planning in Matrix-Sensitive Species, Environmental Management, 10.1007/s00267-016-0698-y, 58, 1, (130-143), (2016).
    • , Species Distribution Modeling of Deep Pelagic Eels, Integrative and Comparative Biology, 10.1093/icb/icw032, 56, 4, (524-530), (2016).
    • , Fishery-dependent and -independent data lead to consistent estimations of essential habitats, ICES Journal of Marine Science: Journal du Conseil, 73, 9, (2302), (2016).
    • , Efficacy of conservation strategies for endangered oriental white storks ( Ciconia boyciana ) under climate change in Northeast China, Biological Conservation, 10.1016/j.biocon.2016.11.004, 204, (367-377), (2016).
    • , Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach, BioData Mining, 9, 1, (2016).
    • , Population Genomics Reveals Low Genetic Diversity and Adaptation to Hypoxia in Snub-Nosed Monkeys, Molecular Biology and Evolution, 10.1093/molbev/msw150, 33, 10, (2670-2681), (2016).
    • , A local knowledge-based approach to predict anthropic harvesting pressure zones of wild edible mushrooms as a tool for forest conservation in Central Mexico, Forest Policy and Economics, 73, (239), (2016).
    • , Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia, Ecological Modelling, 320, (62), (2016).
    • , In situ and ex situ diversity analysis of priority crop wild relatives in Norway, Diversity and Distributions, 22, 11, (1112-1126), (2016).
    • , Predicting global geographical distribution of Lolium rigidum (rigid ryegrass) under climate change, The Journal of Agricultural Science, 154, 05, (755), (2016).
    • , Predicting Avian Influenza Co-Infection with H5N1 and H9N2 in Northern Egypt, International Journal of Environmental Research and Public Health, 13, 12, (886), (2016).
    • , Diversity, distribution, and conservation of lizards (Reptilia: Squamata) in the Brazilian Amazonia, Neotropical Biodiversity, 2, 1, (195), (2016).
    • , Estimating Geographical Variation in the Risk of Zoonotic Plasmodium knowlesi Infection in Countries Eliminating Malaria, PLOS Neglected Tropical Diseases, 10, 8, (e0004915), (2016).
    • , Predicting the geographical distributions of the macaque hosts and mosquito vectors of Plasmodium knowlesi malaria in forested and non-forested areas, Parasites & Vectors, 9, 1, (2016).
    • , Predicting cannabis cultivation on national forests using a rational choice framework, Ecological Economics, 129, (161), (2016).
    • , Modeling the Geographic Distribution ofIxodes scapularisandIxodes pacificus(Acari: Ixodidae) in the Contiguous United States, Journal of Medical Entomology, 53, 5, (1176), (2016).
    • , Spatial distribution of dry forest orchids in the Cauca River Valley and Dagua Canyon: Towards a conservation strategy to climate change, Journal for Nature Conservation, 10.1016/j.jnc.2016.01.004, 30, (32-43), (2016).
    • , Current and Future Distribution of the Tropical Tree Cedrela odorata L. in Mexico under Climate Change Scenarios Using MaxLike, PLOS ONE, 11, 10, (e0164178), (2016).
    • , Using Species Distribution Modeling to contextualize Lower Magdalenian social networks visible through portable art stylistic similarities in the Cantabrian region (Spain), Quaternary International, 412, (112), (2016).
    • , Assessing the efficiency of protected areas to represent biodiversity: a small island case study, Environmental Conservation, 43, 04, (337), (2016).
    • , Assessing the invasiveness of Berberis aristata and B. julianae (Berberidaceae) in South Africa: Management options and legal recommendations, South African Journal of Botany, 105, (288), (2016).
    • , Great Gray Owls Nesting in Atypical, Low-Elevation Habitat in the Sierra Nevada, California, Journal of Raptor Research, 10.3356/rapt-50-02-194-206.1, 50, 2, (194-206), (2016).
    • , Shaken but not stirred: multiscale habitat suitability modeling of sympatric marten species (Martes martes and Martes foina) in the northern Iberian Peninsula, Landscape Ecology, 31, 6, (1241), (2016).
    • , Disentangling the Effect of Climate and Human Influence on Distribution Patterns of the Darkling BeetleScotobius pilulariusGermar, 1823 (Coleoptera: Tenebrionidae), Annales Zoologici, 66, 4, (693), (2016).
    • , Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation, eLife, 5, (2016).
    • , Simulation-Based Approaches for Ecological Niche Modelling, Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering, 10.4018/978-1-4666-9479-8.ch006, (148-170)
    • , Survival possibilities of the dragonfly Aeshna viridis (Insecta, Odonata) in southern Sweden predicted from dispersal possibilities, Journal of Insect Conservation, 20, 2, (179), (2016).
    • , The reliability of conservation status assessments at regional level: Past, present and future perspectives on Gentiana lutea L. ssp. lutea in Sardinia, Journal for Nature Conservation, 33, (1), (2016).
    • , Synergistic effects of climate and land-use change on representation of African bats in priority conservation areas, Ecological Indicators, 10.1016/j.ecolind.2016.04.039, 69, (276-283), (2016).
    • , Re-defining historical geographic range in species with sparse records: Implications for the Mexican wolf reintroduction program, Biological Conservation, 194, (48), (2016).
    • , The potential effect of climate change on the geographical distribution of insect pest species in the Swedish boreal forest, Scandinavian Journal of Forest Research, 31, 1, (29), (2016).
    • , Quality of presence data determines species distribution model performance: a novel index to evaluate data quality, Landscape Ecology, 31, 1, (31), (2016).
    • , Distribution of the Habitat Suitability of the Main Malaria Vector in French Guiana Using Maximum Entropy Modeling, Journal of Medical Entomology, (tjw199), (2016).
    • , Landscape and flow metrics affecting the distribution of a federally-threatened fish: Improving management, model fit, and model transferability, Ecological Modelling, 10.1016/j.ecolmodel.2016.09.016, 342, (1-18), (2016).
    • , Spatial and Temporal Epidemiology of Lumpy Skin Disease in the Middle East, 2012–2015, Frontiers in Veterinary Science, 3, (2016).
    • , Field validation of an invasive species Maxent model, Ecological Informatics, 10.1016/j.ecoinf.2016.11.001, 36, (126-134), (2016).
    • , Modelling fire probability in the Brazilian Amazon using the maximum entropy method, International Journal of Wildland Fire, 10.1071/WF15216, 25, 9, (955), (2016).
    • , Understanding unexpected reintroduction outcomes: Why aren't European bison colonizing suitable habitat in the Carpathians?, Biological Conservation, 195, (106), (2016).
    • , Taxonomy and ecological niche modeling: Implications for the conservation of wood partridges (genus Dendrortyx), Journal for Nature Conservation, 29, (1), (2016).
    • , Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications, PLOS ONE, 11, 1, (e0146728), (2016).
    • , Maximum Entropy-Based Ecological Niche Model and Bio-Climatic Determinants of Lone Star Tick (Amblyomma americanum) Niche, Vector-Borne and Zoonotic Diseases, 16, 3, (205), (2016).
    • , New perspectives on the ecology of early domestic fowl: An interdisciplinary approach, Journal of Archaeological Science, 74, (1), (2016).
    • , Small-scale benthos distribution modelling in a North Sea tidal basin in response to climatic and environmental changes (1970s-2009), Marine Ecology Progress Series, 10.3354/meps11756, 551, (13-30), (2016).
    • , Temporal Dynamics and Spatial Patterns of Aedes aegypti Breeding Sites, in the Context of a Dengue Control Program in Tartagal (Salta Province, Argentina), PLOS Neglected Tropical Diseases, 10, 5, (e0004621), (2016).
    • , The impact of climate on the abundance of Musca sorbens, the vector of trachoma, Parasites & Vectors, 9, 1, (2016).
    • , Present and Future Potential Habitat Distribution of Carcharhinus falciformis and Canthidermis maculata By-Catch Species in the Tropical Tuna Purse-Seine Fishery under Climate Change, Frontiers in Marine Science, 3, (2016).
    • , Modelling the influence of biotic factors on species distribution patterns, Ecological Modelling, 337, (96), (2016).
    • , Predicting fish species distribution in estuaries: Influence of species’ ecology in model accuracy, Estuarine, Coastal and Shelf Science, 180, (11), (2016).
    • , Distribution Modeling of three screwworm species in the ecologically diverse landscape of North West Pakistan, Acta Tropica, 10.1016/j.actatropica.2016.06.015, 162, (56-65), (2016).
    • , Landscape to site variations in species distribution models for endangered plants, Forest Ecology and Management, 369, (20), (2016).
    • , Shipping and natural environmental conditions determine the distribution of the invasive non-indigenous round goby Neogobius melanostomus in a regional sea, Estuarine, Coastal and Shelf Science, 169, (15), (2016).
    • , Improving essential fish habitat designation to support sustainable ecosystem-based fisheries management, Marine Policy, 69, (32), (2016).
    • , Modeling impacts of future climate on the distribution of Myristicaceae species in the Western Ghats, India, Ecological Engineering, 10.1016/j.ecoleng.2016.01.006, 89, (14-23), (2016).
    • , How will climate change affect wildland fire severity in the western US?, Environmental Research Letters, 10.1088/1748-9326/11/3/035002, 11, 3, (035002), (2016).
    • , Ecological Niche Modeling of Invasive Plant Species According to Invasion Status and Management Needs: The Case ofChromolaena odorata(Asteraceae) in South Africa, Polish Journal of Ecology, 64, 3, (369), (2016).
    • , Spatial scale modulates the strength of ecological processes driving disease distributions, Proceedings of the National Academy of Sciences, 113, 24, (E3359), (2016).
    • , Combining genetic and distributional approaches to sourcing introduced species: a case study on the Nile monitor (Varanus niloticus) in Florida, Royal Society Open Science, 3, 4, (150619), (2016).
    • , Geographical or ecological divergence between the parapatric species Ephedra sinica and E. intermedia?, Plant Systematics and Evolution, 10.1007/s00606-016-1323-5, 302, 8, (1157-1170), (2016).
    • , Modelling the spatial distribution of wildlife animals using presence and absence data, Contemporary Problems of Ecology, 10.1134/S1995425516050085, 9, 5, (515-528), (2016).
    • , Using one vs. many, sensitivity and uncertainty analyses of species distribution models with focus on conservation area networks, Ecological Modelling, 10.1016/j.ecolmodel.2015.10.031, 320, (372-382), (2016).
    • , Potential Climate-Driven Impacts on the Distribution of Generalist Treefrogs in South America, Herpetologica, 10.1655/HERPETOLOGICA-D-14-00064, 72, 1, (23-31), (2016).
    • , The distribution of cultivated species of Porophyllum (Asteraceae) and their wild relatives under climate change, Systematics and Biodiversity, 14, 6, (572), (2016).
    • , Advanced long-term bird banding and climate data mining in spring confirm passerine population declines for the Northeast Chinese-Russian flyway, Global and Planetary Change, 144, (17), (2016).
    • , Modelling climate change effects on benthos: Distributional shifts in the North Sea from 2001 to 2099, Estuarine, Coastal and Shelf Science, 10.1016/j.ecss.2016.03.024, 175, (157-168), (2016).
    • , Unequal Contribution of Widespread and Narrow-Ranged Species to Botanical Diversity Patterns, PLOS ONE, 11, 12, (e0169200), (2016).
    • , Exploring the Distribution of the Spreading Lethal Salamander Chytrid Fungus in Its Invasive Range in Europe – A Macroecological Approach, PLOS ONE, 11, 10, (e0165682), (2016).
    • , Conservation status and protection of three Antillean endemic damselflies, Journal of Insect Conservation, 20, 2, (277), (2016).
    • , Improved Predictions of the Geographic Distribution of Invasive Plants Using Climatic Niche Models, PLOS ONE, 11, 5, (e0156029), (2016).
    • , Changing global risk of invading greenbug Schizaphis graminum under climate change, Crop Protection, 88, (137), (2016).
    • , The Use of Spatial and Spatiotemporal Modeling for Surveillance of H5N1 Highly Pathogenic Avian Influenza in Poultry in the Middle East, Avian Diseases, 60, 1s, (146), (2016).
    • , Mechanistic models for predicting insect responses to climate change, Current Opinion in Insect Science, 17, (81), (2016).
    • , The distribution of deep-sea sponge aggregations in the North Atlantic and implications for their effective spatial management, Deep Sea Research Part I: Oceanographic Research Papers, 115, (309), (2016).
    • , Ecological niche modelling of Rift Valley fever virus vectors in Baringo, Kenya, Infection Ecology & Epidemiology, 6, 1, (32322), (2016).
    • , Climate change and the distribution and conservation of the world's highest elevation woodlands in the South American Altiplano, Global and Planetary Change, 137, (79), (2016).
    • , Mapping intra-urban transmission risk of dengue fever with big hourly cellphone data, Acta Tropica, 162, (188), (2016).
    • , Population-Scale Foraging Segregation in an Apex Predator of the North Atlantic, PLOS ONE, 11, 3, (e0151340), (2016).
    • , Controlled comparison of species- and community-level models across novel climates and communities, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2015.2817, 283, 1826, (20152817), (2016).
    • , Assessing the distribution and conservation status of a long-horned beetle with species distribution models, Journal of Insect Conservation, 20, 4, (611), (2016).
    • , Geographical boundary and climatic analysis of Pinus tabulaeformis in China: Insights on its afforestation, Ecological Engineering, 86, (75), (2016).
    • , Assessing differences in connectivity based on habitat versus movement models for brown bears in the Carpathians, Landscape Ecology, 10.1007/s10980-016-0368-8, 31, 8, (1863-1882), (2016).
    • , Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish, Ecological Modelling, 341, (5), (2016).
    • , Predictive modelling of climax oak trees in southern Spain: insights in a scenario of global change, Plant Ecology, 10.1007/s11258-016-0589-6, 217, 4, (451-463), (2016).
    • , Changes in the spatial patterns of human appropriation of net primary production (HANPP) in Europe 1990–2006, Regional Environmental Change, 16, 5, (1225), (2016).
    • , Exploring Climate Niches of Ponderosa Pine (Pinus ponderosa Douglas ex Lawson) Haplotypes in the Western United States: Implications for Evolutionary History and Conservation, PLOS ONE, 11, 3, (e0151811), (2016).
    • , Spatial assessment of the potential risk of avian influenza A virus infection in three raptor species in Japan, Journal of Veterinary Medical Science, 78, 7, (1107), (2016).
    • , An Alternative Vaccination Approach for The Prevention of Highly Pathogenic Avian Influenza Subtype H5N1 in The Red River Delta, Vietnam —A Geospatial-Based Cost-Effectiveness Analysis, Veterinary Sciences, 3, 4, (6), (2016).
    • , Integrated models that unite local and regional data reveal larger-scale environmental relationships and improve predictions of species distributions, Landscape Ecology, 10.1007/s10980-015-0327-9, 31, 6, (1369-1382), (2015).
    • , Maxent Modelling for Distribution of Plant Species Habitats of Rangelands (Iran), Polish Journal of Ecology, 64, 4, (453), (2016).
    • , The past, present and future distribution of a deep-sea shrimp in the Southern Ocean, PeerJ, 4, (e1713), (2016).
    • , Environmental correlates of nearshore habitat distribution by the Critically Endangered Maūi dolphin, Marine Ecology Progress Series, 551, (261), (2016).
    • , A stochastic dynamic model to assess land use change scenarios on the ecological status of fluvial water bodies under the Water Framework Directive, Science of The Total Environment, 565, (427), (2016).
    • , Spatial analysis of endemism to redefine conservation areas in Western Ghats (India), Journal for Nature Conservation, 34, (33), (2016).
    • , Species Distribution Modelling of Aedes aegypti in two dengue‐endemic regions of Pakistan, Tropical Medicine & International Health, 21, 3, (427-436), (2016).
    • , Forest-structure data improve distribution models of threatened habitat specialists: Implications for conservation of epiphytic lichens in forest landscapes, Biological Conservation, 196, (31), (2016).
    • , Global strategy for plant conservation: inadequatein situconservation of threatened flora in Spain, Israel Journal of Plant Sciences, (1), (2016).
    • , Addressing Potential Cumulative Impacts of Development on Threatened Species: The Case of the Endangered Black-Throated Finch, PLOS ONE, 11, 3, (e0148485), (2016).
    • , Crop wild relatives of the brinjal eggplant (Solanum melongena): Poorly represented in genebanks and many species at risk of extinction, American Journal of Botany, 103, 4, (635-651), (2016).
    • , Potential Impacts of Climate Change on Native Plant Distributions in the Falkland Islands, PLOS ONE, 11, 11, (e0167026), (2016).
    • , Life History Traits and Niche Instability Impact Accuracy and Temporal Transferability for Historically Calibrated Distribution Models of North American Birds, PLOS ONE, 11, 3, (e0151024), (2016).
    • , Current wintering habitat of an endemic seabird of Réunion Island, Barau’s petrel Pterodroma baraui, and predicted changes induced by global warming, Marine Ecology Progress Series, 10.3354/meps11710, 550, (235-248), (2016).
    • , Use of molecular and environmental analyses for integrated in situ and ex situ conservation: The case of the Mexican prairie dog, Biological Conservation, 10.1016/j.biocon.2016.10.036, 204, (284-295), (2016).
    • , Macroecological inferences on soil fauna through comparative niche modeling: The case of Hormogastridae (Annelida, Oligochaeta), European Journal of Soil Biology, 10.1016/j.ejsobi.2016.05.003, 75, (115-122), (2016).
    • , A multi-scale looping approach to predict spatially dynamic patterns of functional species richness in changing landscapes, Ecological Indicators, 64, (92), (2016).
    • , Going off grid: computationally efficient inference for log-Gaussian Cox processes, Biometrika, 10.1093/biomet/asv064, 103, 1, (49-70), (2016).
    • , Calibrating aquatic microfossil proxies with regression-tree ensembles: Cross-validation with modern chironomid and diatom data, The Holocene, 10.1177/0959683616632881, 26, 7, (1040-1048), (2016).
    • , First assessment of potential distribution and dispersal capacity of the emerging invasive mosquito Aedes koreicus in Northeast Italy, Parasites & Vectors, 9, 1, (2016).
    • , Predicting malaria vector distribution under climate change scenarios in China: Challenges for malaria elimination, Scientific Reports, 6, 1, (2016).
    • , Species Distribution Modeling of the Threatened Blanding's Turtle's (Emydoidea blandingii) Range Edge as a Tool for Conservation Planning, Journal of Herpetology, 50, 3, (366), (2016).
    • , Association of genetic and phenotypic variability with geography and climate in three southern California oaks, American Journal of Botany, 103, 1, (73-85), (2016).
    • , Key innovations and climatic niche divergence as drivers of diversification in subtropical Gentianinae in southeastern and eastern Asia, American Journal of Botany, 103, 5, (899-911), (2016).
    • , Incorporating explicit geospatial data shows more species at risk of extinction than the current Red List, Science Advances, 10.1126/sciadv.1601367, 2, 11, (e1601367), (2016).
    • , Advances and Limitations of Disease Biogeography Using Ecological Niche Modeling, Frontiers in Microbiology, 07, (2016).
    • , How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?, Ecological Modelling, 328, (108), (2016).
    • , Evaluating the costs and benefits of systematic data acquisition for conservation assessments, Ecography, 38, 3, (283-292), (2014).
    • , Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt, Ecography, 38, 2, (172-183), (2014).
    • , Niche shift in four non‐native estrildid finches and implications for species distribution models, Ibis, 157, 1, (75-90), (2014).
    • , Population genetic structure of Oryza rufipogon and Oryza nivara: implications for the origin of O. nivara, Molecular Ecology, 24, 20, (5211-5228), (2015).
    • , Genetic consequences of postglacial range expansion in two codistributed rodents (genus Dipodomys) depend on ecology and genetic locus, Molecular Ecology, 24, 1, (83-97), (2014).
    • , Improving effectiveness of systematic conservation planning with density data, Conservation Biology, 29, 4, (1217-1227), (2015).
    • , Differentially expressed genes match bill morphology and plumage despite largely undifferentiated genomes in a Holarctic songbird, Molecular Ecology, 24, 12, (3009-3025), (2015).
    • , Enriching the isotopic toolbox for migratory connectivity analysis: a new approach for migratory species breeding in remote or unexplored areas, Diversity and Distributions, 21, 4, (416-427), (2015).
    • , Uncommon paleodistribution patterns of Chrysolophus pheasants in east Asia: explanations and implications, Journal of Avian Biology, 46, 5, (528-537), (2015).
    • , Niche conservatism among non‐native vertebrates in Europe and North America, Ecography, 38, 3, (321-329), (2014).
    • , Reforestation with native mixed‐species plantings in a temperate continental climate effectively sequesters and stabilizes carbon within decades, Global Change Biology, 21, 4, (1552-1566), (2014).
    • , Geographical distribution, climatic variability and thermo‐tolerance of Chagas disease vectors, Ecography, 38, 8, (851-860), (2014).
    • , Individualistic response to past climate changes: niche differentiation promotes diverging Quaternary range dynamics in the subspecies of Testudo graeca, Ecography, 38, 9, (956-966), (2015).
    • , From dispersal constraints to landscape connectivity: lessons from species distribution modeling, Ecography, 38, 10, (967-978), (2015).
    • , Historical summer distribution of the endangered North Atlantic right whale (Eubalaena glacialis): a hypothesis based on environmental preferences of a congeneric species, Diversity and Distributions, 21, 8, (925-937), (2015).
    • , Modelling the oceanic habitats of two pelagic species using recreational fisheries data, Fisheries Oceanography, 24, 5, (463-477), (2015).
    • , Efficient spatial models for predicting the occurrence of subarctic estuarine‐associated fishes: implications for management, Fisheries Management and Ecology, 22, 6, (501-517), (2015).
    • , Distribution and diversity of palms in a tropical biodiversity hotspot (Thailand) assessed by species distribution modeling, Nordic Journal of Botany, 33, 2, (214-224), (2013).
    • , Point process models for presence‐only analysis, Methods in Ecology and Evolution, 6, 4, (366-379), (2015).
    • , Mapping perceptions of species' threats and population trends to inform conservation efforts: the Bornean orangutan case study, Diversity and Distributions, 21, 5, (487-499), (2015).
    • , Interacting influences of climate factors and land cover types on the distribution of caddisflies (Trichoptera) in streams of a central European low mountain range, Insect Conservation and Diversity, 8, 1, (92-101), (2014).
    • , Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling, Global Change Biology, 21, 12, (4464-4480), (2015).
    • , Phylogeography, historical demography and habitat suitability modelling of freshwater fishes inhabiting seasonally fluctuating Mediterranean river systems: a case study using the Iberian cyprinid Squalius valentinus, Molecular Ecology, 24, 14, (3706-3722), (2015).
    • , Multilocus phylogenetic and geospatial analyses illuminate diversification patterns and the biogeographic history of Malagasy endemic plated lizards (Gerrhosauridae: Zonosaurinae), Journal of Evolutionary Biology, 28, 2, (481-492), (2015).
    • , Rates of climatic niche evolution are correlated with species richness in a large and ecologically diverse radiation of songbirds, Ecology Letters, 18, 5, (433-440), (2015).
    • , Overcoming limitations of modelling rare species by using ensembles of small models, Methods in Ecology and Evolution, 6, 10, (1210-1218), (2015).
    • , No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation, Methods in Ecology and Evolution, 6, 10, (1126-1136), (2015).
    • , Holocene southward expansion in seasonally dry tropical forests in South America: phylogeography of icus bonijesulapensis (Moraceae), Botanical Journal of the Linnean Society, 177, 2, (189-201), (2015).
    • , Narrow endemics in European mountains: high genetic diversity within the monospecific genus Pseudomisopates (Plantaginaceae) despite isolation since the late Pleistocene, Journal of Biogeography, 42, 8, (1455-1468), (2015).
    • , Past climate change and recent anthropogenic activities affect genetic structure and population demography of the greater long‐tailed hamster in northern China, Integrative Zoology, 10, 5, (482-496), (2015).
    • , Projecting boreal bird responses to climate change: the signal exceeds the noise, Ecological Applications, 25, 1, (52-69), (2015).
    • , Using kernels and ecological niche modeling to delineate conservation areas in an endangered patch‐breeding phenotype, Ecological Applications, 25, 7, (1922-1931), (2015).
    • , Phylogenetic reassessment and biogeography of the ctateus generic group (Coleoptera: Tenebrionidae: Platynotina), Zoological Journal of the Linnean Society, 175, 1, (73-106), (2015).
    • , Broad‐scale habitat classification variables predict maximum local abundance for native but not non‐native trout in New York streams, Aquatic Conservation: Marine and Freshwater Ecosystems, 25, 1, (31-40), (2014).
    • , Geographical distribution modelling of the bronze bug: a worldwide invasion, Agricultural and Forest Entomology, 17, 2, (129-137), (2014).
    • , Modelling both dominance and species distribution provides a more complete picture of changes to mangrove ecosystems under climate change, Global Change Biology, 21, 8, (3005-3020), (2015).
    • , Combining correlative and mechanistic habitat suitability models to improve ecological compensation, Biological Reviews, 90, 1, (314-329), (2014).
    • , Non‐equilibrium in plant distribution models – only an issue for introduced or dispersal limited species?, Ecography, 38, 3, (231-240), (2014).
    • , Invasion potential of Agrilus planipennis and other Agrilus beetles in Europe: import pathways of deciduous wood chips and MaxEnt analyses of potential distribution areas, EPPO Bulletin, 45, 2, (259-268), (2015).
    • , Assessing the risks and opportunities of presence‐only data for conservation planning, Journal of Biogeography, 42, 2, (218-228), (2014).
    • , Beyond maps: a review of the applications of biological records, Biological Journal of the Linnean Society, 115, 3, (532-542), (2015).
    • , Ecological niche modelling confirms potential north‐east range expansion of the nine‐banded armadillo (Dasypus novemcinctus) in the USA, Journal of Biogeography, 42, 4, (803-807), (2014).
    • , Niche dynamics in the European ranges of two African carnivores reflect their dispersal and demographic histories, Biological Journal of the Linnean Society, 114, 4, (737-751), (2015).
    • , Extinctions in near time: new radiocarbon dates point to a very recent disappearance of the South American fox Dusicyon avus (Carnivora: Canidae), Biological Journal of the Linnean Society, 116, 3, (704-720), (2015).
    • , Effects of climate change on species turnover and body mass frequency distributions of South African bird communities, African Journal of Ecology, 53, 1, (25-35), (2014).
    • , How good are Bayesian belief networks for environmental management? A test with data from an agricultural river catchment, Freshwater Biology, 60, 11, (2297-2309), (2015).
    • , Forecasted coral reef decline in marine biodiversity hotspots under climate change, Global Change Biology, 21, 7, (2479-2487), (2015).
    • , The geographic distribution and ecological preferences of the American dog tick, ermacentor variabilis (Say), in the U.S.A., Medical and Veterinary Entomology, 29, 2, (178-188), (2015).
    • , Testing the role of ecology and life history in structuring genetic variation across a landscape: a trait‐based phylogeographic approach, Molecular Ecology, 24, 14, (3723-3737), (2015).
    • , A test of the central–marginal hypothesis using population genetics and ecological niche modelling in an endemic salamander (Ambystoma barbouri), Molecular Ecology, 24, 5, (967-979), (2015).
    • , Past climate change drives current genetic structure of an endangered freshwater mussel species, Molecular Ecology, 24, 8, (1910-1926), (2015).
    • , Living on the edge: the role of geography and environment in structuring genetic variation in the southernmost populations of a tropical oak, Plant Biology, 17, 3, (676-683), (2015).
    • , Shallow environmental gradients put inland species at risk: Insights and implications from predicting future distributions of ucalyptus species in South Western Australia, Austral Ecology, 40, 8, (923-932), (2015).
    • , Is my species distribution model fit for purpose? Matching data and models to applications, Global Ecology and Biogeography, 24, 3, (276-292), (2015).
    • , Towards a resource‐based habitat approach for spatial modelling of vector‐borne disease risks, Biological Reviews, 90, 4, (1151-1162), (2014).
    • , Phylogenetic niche conservatism and the evolutionary basis of ecological speciation, Biological Reviews, 90, 4, (1248-1262), (2014).
    • , Protecting one, protecting both? Scale‐dependent ecological differences in two species using dead trees, the rosalia longicorn beetle and the barbastelle bat, Journal of Zoology, 297, 3, (165-175), (2015).
    • , Evidence for habitat and climatic specializations driving the long‐term distribution trends of UK and Irish bumblebees, Diversity and Distributions, 21, 8, (864-875), (2015).
    • , Assassin bugs of the subfamily Diaspidiinae (Heteroptera: Reduviidae): distribution and potential ecological niches, Entomological Science, 18, 3, (389-399), (2015).
    • , Spatial conservation priorities are highly sensitive to choice of biodiversity surrogates and species distribution model type, Ecography, 38, 11, (1101-1111), (2015).
    • , Geographic distribution and migration pathways of Pistacia – present, past and future, Ecography, 38, 11, (1141-1154), (2015).
    • , Anticipating potential biodiversity conflicts for future biofuel crops in South Africa: incorporating spatial filters with species distribution models, GCB Bioenergy, 7, 2, (273-287), (2014).
    • , Assessing the Risk of African Swine Fever Introduction into the European Union by Wild Boar, Transboundary and Emerging Diseases, 62, 3, (272-279), (2013).
    • , Evaluating habitat suitability models for nesting white‐headed woodpeckers in unburned forest, The Journal of Wildlife Management, 79, 2, (263-273), (2015).
    • , Disentangling the effects of habitat suitability, dispersal, and fragmentation on the distribution of river fishes, Ecological Applications, 25, 4, (914-927), (2015).
    • , Occurrence of an invasive coral in the southwest Atlantic and comparison with a congener suggest potential niche expansion, Ecology and Evolution, 5, 11, (2162-2171), (2015).
    • , Differential effects of climate and species interactions on range limits at a hybrid zone: potential direct and indirect impacts of climate change, Ecology and Evolution, 5, 21, (5120-5137), (2015).
    • , Reef flattening effects on total richness and species responses in the Caribbean, Journal of Animal Ecology, 84, 6, (1678-1689), (2015).
    • , Recircumscription of Huperzia serrata complex in China using morphological and climatic data, Journal of Systematics and Evolution, 53, 1, (88-103), (2014).
    • , Using spatiotemporal species distribution models to identify temporally evolving hotspots of species co‐occurrence, Ecological Applications, 25, 8, (2198-2209), (2015).
    • , Generating realistic assemblages with a joint species distribution model, Methods in Ecology and Evolution, 6, 4, (465-473), (2015).
    • , How to describe species richness patterns for bryophyte conservation?, Ecology and Evolution, 5, 23, (5443-5455), (2015).
    • , Drifting baited stereo‐videography: a novel sampling tool for surveying pelagic wildlife in offshore marine reserves, Ecosphere, 6, 8, (1-29), (2015).
    • , Why close relatives make bad neighbours: phylogenetic conservatism in niche preferences and dispersal disproves Darwin's naturalization hypothesis in the thistle tribe, Molecular Ecology, 24, 12, (3181-3193), (2015).
    • , Ancestral origins and invasion pathways in a globally invasive bird correlate with climate and influences from bird trade, Molecular Ecology, 24, 16, (4269-4285), (2015).
    • , Does phylogeographical structure relate to climatic niche divergence? A test using maritime pine (inus pinaster Ait.), Global Ecology and Biogeography, 24, 11, (1302-1313), (2015).
    • , Can Eltonian processes explain species distributions at large scale? A case study with Great Bustard (Otis tarda), Diversity and Distributions, 21, 2, (123-138), (2014).
    • , Multiple sources of uncertainty affect metrics for ranking conservation risk under climate change, Diversity and Distributions, 21, 1, (111-122), (2014).
    • , Mapping large‐scale bird distributions using occupancy models and citizen data with spatially biased sampling effort, Diversity and Distributions, 21, 1, (46-54), (2014).
    • , Accounting for spatially biased sampling effort in presence‐only species distribution modelling, Diversity and Distributions, 21, 5, (595-608), (2014).
    • , Native American impact on past forest composition inferred from species distribution models, Chautauqua County, New York, Ecological Monographs, 85, 4, (557-581), (2015).
    • , Niche divergence builds the case for ecological speciation in skinks of the lestiodon skiltonianus species complex, Ecology and Evolution, 5, 20, (4683-4695), (2015).
    • , Limited sampling hampers “big data” estimation of species richness in a tropical biodiversity hotspot, Ecology and Evolution, 5, 3, (807-820), (2015).
    • , Modeling and predicting the growth of the mussel, Mytilus edulis: implications for planning of aquaculture and eutrophication mitigation, Ecology and Evolution, 5, 24, (5920-5933), (2015).
    • , The persistence of populations facing climate shifts and harvest, Ecosphere, 6, 9, (1-16), (2015).
    • , Incorporating bioclimatic and biogeographic data in the construction of species distribution models in order to prioritize searches for new populations of threatened flora, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 149, 5, (827), (2015).
    • , Will tropical mountaintop plant species survive climate change? Identifying key knowledge gaps using species distribution modelling in Australia, Biological Conservation, 10.1016/j.biocon.2015.07.022, 191, (322-330), (2015).
    • , Climate change and lizards: changing species' geographic ranges in Patagonia, Regional Environmental Change, 10.1007/s10113-014-0693-x, 15, 6, (1121-1132), (2014).
    • , Habitat Suitability and Landscape Structure: A Maximum Entropy Approach in a Mediterranean Area, Landscape Research, 40, 2, (208), (2015).
    • , Habitat Suitability Modeling of Endangered Primates in Nigeria: Integrating Satellite Remote Sensing and Spatial Modeling Techniques, Journal of Geoscience and Environment Protection, 03, 08, (23), (2015).
    • , Range increase of a Neotropical orchid bee under future scenarios of climate change, Journal of Insect Conservation, 19, 5, (901), (2015).
    • , Niche Suitability Affects Development: Skull Asymmetry Increases in Less Suitable Areas, PLOS ONE, 10, 4, (e0122412), (2015).
    • , Solving problems involving the distribution of a species of unknown distribution via ecological niche modeling, Natureza & Conservação, 13, 1, (15), (2015).
    • , Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling, Computers & Geosciences, 81, (1), (2015).
    • , Estimating Korean Pine(Pinus koraiensis) Habitat Distribution Considering Climate Change Uncertainty - Using Species Distribution Models and RCP Scenarios -, Journal of the Korea Society of Environmental Restoration Technology, 18, 3, (51), (2015).
    • , Ecological niches of open ocean phytoplankton taxa, Limnology and Oceanography, 60, 3, (1020-1038), (2015).
    • , Predictive Mapping of Topsoil Organic Carbon in an Alpine Environment Aided by Landsat TM, PLOS ONE, 10, 10, (e0139042), (2015).
    • , Potential of remote sensing to predict species invasions, Progress in Physical Geography, 10.1177/0309133315574659, 39, 3, (283-309), (2015).
    • , Climate suitability for European ticks: assessing species distribution models against null models and projection under AR5 climate, Parasites & Vectors, 8, 1, (2015).
    • , Fossils reject climate change as the cause of extinction of Caribbean bats, Scientific Reports, 10.1038/srep07971, 5, 1, (2015).
    • , The Importance of the Human Footprint in Shaping the Global Distribution of Terrestrial, Freshwater and Marine Invaders, PLOS ONE, 10, 5, (e0125801), (2015).
    • , Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi, Vestnik Zoologii, 49, 4, (2015).
    • , Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation, Spatial Statistics, 10.1016/j.spasta.2015.04.005, 14, (22-38), (2015).
    • , Glacial Refugia and Future Habitat Coverage of Selected Dactylorhiza Representatives (Orchidaceae), PLOS ONE, 10, 11, (e0143478), (2015).
    • , Predicting invasions of Wedelia trilobata (L.) Hitchc. with Maxent and GARP models, Journal of Plant Research, 128, 5, (763), (2015).
    • , Chimpanzee population structure in Cameroon and Nigeria is associated with habitat variation that may be lost under climate change, BMC Evolutionary Biology, 10.1186/s12862-014-0275-z, 15, 1, (2), (2015).
    • , Habitat suitability and protection status of four species of amphibians in the Dominican Republic, Applied Geography, 10.1016/j.apgeog.2015.06.002, 63, (55-65), (2015).
    • , Modeling the distribution of odonates: a review, Freshwater Science, 10.1086/682688, 34, 3, (1144-1158), (2015).
    • , Expertly Validated Models and Phylogenetically-Controlled Analysis Suggests Responses to Climate Change Are Related to Species Traits in the Order Lagomorpha, PLOS ONE, 10, 4, (e0122267), (2015).
    • , A novel citizen science approach for large-scale standardised monitoring of bat activity and distribution, evaluated in eastern England, Biological Conservation, 10.1016/j.biocon.2015.06.009, 191, (38-49), (2015).
    • , Alpine endemic spiders shed light on the origin and evolution of subterranean species, PeerJ, 3, (e1384), (2015).
    • , Predicted range shifts of dragonflies over a wide elevation gradient in the southern hemisphere, Freshwater Science, 34, 3, (1133), (2015).
    • , Assessing the aftermath of the fast track land reform programme in Zimbabwe on land-use and land-cover changes, Transactions of the Royal Society of South Africa, 70, 2, (181), (2015).
    • , La región del Bajío, México y la conservación de su diversidad florística, Revista Mexicana de Biodiversidad, 86, 3, (799), (2015).
    • , Predicting fish species richness in estuaries: Which modelling technique to use?, Environmental Modelling & Software, 66, (17), (2015).
    • , Modeling the distribution of a rare Amazonian odonate in relation to future deforestation, Freshwater Science, 34, 3, (1123), (2015).
    • , Using Gaussian Bayesian Networks to disentangle direct and indirect associations between landscape physiography, environmental variables and species distribution, Ecological Modelling, 313, (127), (2015).
    • , Modeling sensitive parrotfish (Labridae: Scarini) habitats along the Brazilian coast, Marine Environmental Research, 110, (92), (2015).
    • , Beyond species distribution modeling: A landscape genetics approach to investigating range shifts under future climate change, Ecological Informatics, 30, (250), (2015).
    • , Mapping the likelihood of koalas across New South Wales for use in Private Native Forestry: developing a simple, species distribution model that deals with opportunistic data, Australian Mammalogy, 37, 2, (182), (2015).
    • , Environmental predictors of habitat suitability and biogeographical range of Franciscana dolphins (Pontoporia blainvillei), Global Ecology and Conservation, 3, (90), (2015).
    • , Spatial and environmental patterns of off-road vehicle recreation in a semi-arid woodland, Applied Geography, 62, (97), (2015).
    • , Predicting priority areas for conservation from historical climate modelling: stingless bees from Atlantic Forest hotspot as a case study, Journal of Insect Conservation, 19, 3, (581), (2015).
    • , Mapping the stray domestic cat (Felis catus) population in New Zealand: Species distribution modelling with a climate change scenario and implications for protected areas, Applied Geography, 63, (146), (2015).
    • , Crop wild relatives of pigeonpea [Cajanus cajan (L.) Millsp.]: Distributions, ex situ conservation status, and potential genetic resources for abiotic stress tolerance, Biological Conservation, 184, (259), (2015).
    • , Type of soil and temperature range explain the preferred habitat and current distribution of the endemic lizard Aspidoscelis hyperythra in southern Baja California peninsula, Journal of Arid Environments, 113, (126), (2015).
    • , Interactive effects of climate change and fire on metapopulation viability of a forest-dependent frog in south-eastern Australia, Biological Conservation, 10.1016/j.biocon.2015.05.020, 190, (142-153), (2015).
    • , Species Distribution Models of Tropical Deep-Sea Snappers, PLOS ONE, 10, 6, (e0127395), (2015).
    • , Modeling of the putative distribution of the arbovirus vector Ochlerotatus japonicus japonicus (Diptera: Culicidae) in Germany, Parasitology Research, 114, 3, (1051), (2015).
    • , Climate change and tree responses in Central European forests, Annals of Forest Science, 72, 3, (285), (2015).
    • , Adding Biotic Interactions into Paleodistribution Models: A Host-Cleptoparasite Complex of Neotropical Orchid Bees, PLOS ONE, 10, 6, (e0129890), (2015).
    • , Conservation status assessment ofParaphlebiadamselflies in Mexico, Insect Conservation and Diversity, 8, 6, (517), (2015).
    • , Niche-based projections of wetlands shifts with marine intrusion from sea level rise: an example analysis for North Carolina, Environmental Earth Sciences, 73, 4, (1479), (2015).
    • , Different bat guilds perceive their habitat in different ways: a multiscale landscape approach for variable selection in species distribution modelling, Landscape Ecology, 10.1007/s10980-015-0237-x, 30, 10, (2147-2159), (2015).
    • , Potential distribution of alien parakeets in Tuscany (Central Italy): a bioclimatic model approach, Ethology Ecology & Evolution, 10.1080/03949370.2014.895424, 27, 2, (116-128), (2014).
    • , Relationships between the geographic distribution of phytophagous insects and different types of vegetation: A case study of the flea beetle genus Chaetocnema (Coleoptera: Chrysomelidae) in the Afrotropical region, European Journal of Entomology, 10.14411/eje.2015.040, 112, 2, (311-327), (2015).
    • , Zoogeography of South American Forest-Dwelling Bats: Disjunct Distributions or Sampling Deficiencies?, PLOS ONE, 10, 7, (e0133276), (2015).
    • , Environmental Factors Related to Fungal Wound Contamination after Combat Trauma in Afghanistan, 2009–2011, Emerging Infectious Diseases, 21, 10, (1759), (2015).
    • , Distribution models for mountain plant species: The value of elevation, Ecological Modelling, 301, (72), (2015).
    • , Evaluation of Limiting Climatic Factors and Simulation of a Climatically Suitable Habitat for Chinese Sea Buckthorn, PLOS ONE, 10, 7, (e0131659), (2015).
    • , Using Two Climate Change Vulnerability Assessment Methods to Prioritize and Manage Rare Plants: A Case Study, Natural Areas Journal, 10.3375/043.035.0115, 35, 1, (106-121), (2015).
    • , Mapping residual transmission for malaria elimination, eLife, 4, (2015).
    • , Ancient divergence and recent population expansion in a leaf frog endemic to the southern Brazilian Atlantic forest, Organisms Diversity & Evolution, 15, 4, (695), (2015).
    • , Incipient speciation with biased gene flow between two lineages of the Western Diamondback Rattlesnake (Crotalus atrox), Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2014.12.006, 83, (213-223), (2015).
    • , The scientific basis for modeling Northern Spotted Owl habitat: A response to Loehle, Irwin, Manly, and Merrill, Forest Ecology and Management, 358, (355), (2015).
    • , Year-round distribution suggests spatial segregation of Cory’s shearwaters, based on individual experience, Marine Biology, 162, 11, (2279), (2015).
    • , What Determines Habitat Quality for a Declining Woodland Bird in a Fragmented Environment: The Grey-Crowned Babbler Pomatostomus temporalis in South-Eastern Australia?, PLOS ONE, 10, 6, (e0130738), (2015).
    • , Habitat Characteristics within a Zone of Separation Between the Ranges of Two Species of Pocket Gophers, The American Midland Naturalist, 173, 2, (253), (2015).
    • , A comparison of modelled and actual distributions of eleven benthic macroinvertebrate species in a Central European mountain catchment, Hydrobiologia, 10.1007/s10750-015-2280-7, 758, 1, (123-140), (2015).
    • , Range-wide analysis of northern spotted owl nesting habitat relations, Forest Ecology and Management, 10.1016/j.foreco.2015.01.010, 342, (8-20), (2015).
    • , Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce, Biological Invasions, 17, 11, (3197), (2015).
    • , Assessing the Importance of Climate Variables for the Spatial Distribution of Modern Pollen Data in China, Quaternary Research, 83, 02, (287), (2015).
    • , Climatic and geometric controls on the global distribution of surge-type glaciers: implications for a unifying model of surging, Journal of Glaciology, 10.3189/2015JoG14J136, 61, 228, (646-662), (2017).
    • , Spatial Transferability of Habitat Suitability Models of Nephrops norvegicus among Fished Areas in the Northeast Atlantic: Sufficiently Stable for Marine Resource Conservation?, PLOS ONE, 10, 2, (e0117006), (2015).
    • , Paleodistribution modeling in archaeology and paleoanthropology, Quaternary Science Reviews, 10.1016/j.quascirev.2014.12.015, 110, (1-14), (2015).
    • , Accelerating extinction risk from climate change, Science, 10.1126/science.aaa4984, 348, 6234, (571-573), (2015).
    • , Beyond species-specific assessments: an analysis and validation of environmental distance metrics for non-indigenous species risk assessment, Biological Invasions, 17, 12, (3455), (2015).
    • , Estimation of spatial sampling effort based on presence-only data and accessibility, Ecological Modelling, 299, (147), (2015).
    • , Filter Feature Selection for One-Class Classification, Journal of Intelligent & Robotic Systems, 80, S1, (227), (2015).
    • , Establishing Functional Relationships between Abiotic Environment, Macrophyte Coverage, Resource Gradients and the Distribution of Mytilus trossulus in a Brackish Non-Tidal Environment, PLOS ONE, 10, 8, (e0136949), (2015).
    • , Predicting the potential distribution of the amphibian pathogen Batrachochytrium dendrobatidis in East and Southeast Asia, Diseases of Aquatic Organisms, 10.3354/dao02838, 113, 3, (177-185), (2015).
    • , Climate-driven range shifts and demographic events over the history of Kruper's NuthatchSitta krueperi, Bird Study, 62, 1, (14), (2015).
    • , Large-Scale Range Collapse of Hawaiian Forest Birds under Climate Change and the Need 21st Century Conservation Options, PLOS ONE, 10, 10, (e0140389), (2015).
    • , Ex Situ Conservation Priorities for the Wild Relatives of Potato (Solanum L. Section Petota), PLOS ONE, 10, 4, (e0122599), (2015).
    • , Ecological Niche Transferability Using Invasive Species as a Case Study, PLOS ONE, 10, 3, (e0119891), (2015).
    • , The Foraging Ecology of the Endangered Cape Verde Shearwater, a Sentinel Species for Marine Conservation off West Africa, PLOS ONE, 10, 10, (e0139390), (2015).
    • , Species-targeted plant conservation: time for conceptual integration, Israel Journal of Plant Sciences, (1), (2015).
    • , Effects of positional error on modeling species distributions: a perspective using presettlement land survey records, Plant Ecology, 216, 1, (67), (2015).
    • , Benthos distribution modelling and its relevance for marine ecosystem management, ICES Journal of Marine Science, 10.1093/icesjms/fsu107, 72, 2, (297-315), (2014).
    • , Toward a new generation of ecological modelling techniques, Advanced Modelling Techniques Studying Global Changes in Environmental Sciences, 10.1016/B978-0-444-63536-5.00002-8, (11-44), (2015).
    • , Occurrence of Cabassous tatouay (Cingulata, Dasypodidae) in Rio Grande do Sul and its potential distribution in southern Brazil, Iheringia. Série Zoologia, 105, 2, (235), (2015).
    • , Ecological and Geographical Analysis of the Distribution of the Mountain Tapir (Tapirus pinchaque) in Ecuador: Importance of Protected Areas in Future Scenarios of Global Warming, PLOS ONE, 10, 3, (e0121137), (2015).
    • , Can we derive macroecological patterns from primary Global Biodiversity Information Facility data?, Global Ecology and Biogeography, 24, 3, (335), (2015).
    • , A Comparison of Two Approaches for Generating Spatial Models of Growing-Season Variables for Canada, Journal of Applied Meteorology and Climatology, 54, 2, (506), (2015).
    • , The Influence of Data Resolution on Predicted Distribution and Estimates of Extent of Current Protection of Three ‘Listed’ Deep-Sea Habitats, PLOS ONE, 10, 10, (e0140061), (2015).
    • , Predictive habitat suitability models to aid conservation of elasmobranch diversity in the central Mediterranean Sea, Scientific Reports, 5, 1, (2015).
    • , Can Species Distribution Models Aid Bioassessment when Reference Sites are Lacking? Tests Based on Freshwater Fishes, Environmental Management, 56, 4, (835), (2015).
    • , Prospects and challenges for social media data in conservation science, Frontiers in Environmental Science, 3, (2015).
    • , Using Species Distribution Model to Estimate the Wintering Population Size of the Endangered Scaly-Sided Merganser in China, PLOS ONE, 10, 2, (e0117307), (2015).
    • , Environmental and anthropogenic factors affecting the probability of occurrence of Oncomegas wageneri (Cestoda: Trypanorhyncha) in the southern Gulf of Mexico, Parasites & Vectors, 8, 1, (2015).
    • , Predicted Regional and National Distribution ofBactrocera dorsalis(syn.B. invadens) (Diptera: Tephritidae) in Southern Africa and Implications for Its Management, African Entomology, 23, 2, (427), (2015).
    • , Ecological Niche Model used to examine the distribution of an invasive, non-indigenous coral, Marine Environmental Research, 103, (115), (2015).
    • , Testing the Role of Climate Change in Species Decline: Is the Eastern Quoll a Victim of a Change in the Weather?, PLOS ONE, 10, 6, (e0129420), (2015).
    • , Climate-induced range shifts of the American jackknife clam Ensis directus in Europe, Biological Invasions, 10.1007/s10530-014-0764-4, 17, 2, (725-741), (2014).
    • , Potential habitat modeling for reintroduction of three native plant species in central Iran, Journal of Arid Land, 7, 3, (381), (2015).
    • , Using Citizen-Monitoring to Define the Migration Route of Monarch Butterfly,Danaus plexippus(L.)1, in the State of Guanajuato, Southwestern Entomologist, 40, 1, (233), (2015).
    • , The Relative Impact of Climate Change on the Extinction Risk of Tree Species in the Montane Tropical Andes, PLOS ONE, 10, 7, (e0131388), (2015).
    • , Mapping Dominant Tree Species over Large Forested Areas Using Landsat Best-Available-Pixel Image Composites, Canadian Journal of Remote Sensing, 41, 3, (203), (2015).
    • , Robustness and accuracy of Maxent niche modelling for Lactuca species distributions in light of collecting expeditions, Plant Genetic Resources, 13, 02, (153), (2015).
    • , Evidence for the Convergence Model: The Emergence of Highly Pathogenic Avian Influenza (H5N1) in Viet Nam, PLOS ONE, 10, 9, (e0138138), (2015).
    • , Effects of environmental factors on the spatio-temporal distribution of striped marlin catch rates off Cabo San Lucas, Baja California Sur, Mexico, Fisheries Research, 166, (47), (2015).
    • , Phylogeography of Quercus glauca (Fagaceae), a dominant tree of East Asian subtropical evergreen forests, based on three chloroplast DNA interspace sequences, Tree Genetics & Genomes, 10.1007/s11295-014-0805-2, 11, 1, (2014).
    • , Utilization of machine-learning algorithms for wind turbine site suitability modeling in Iowa, USA, Wind Energy, 18, 4, (713), (2015).
    • , A Comparative Study on Species Richness and Land Suitability Assessment - Focused on city in Boryeong -, Journal of Environmental Impact Assessment, 24, 1, (35), (2015).
    • , Climatic suitability of the potential geographic distribution of Fagus longipetiolata in China, Environmental Earth Sciences, 73, 3, (1143), (2015).
    • , Maximum entropy modeling of geographic distributions of the flea beetle species endemic in Italy (Coleoptera: Chrysomelidae: Galerucinae: Alticini), Zoologischer Anzeiger - A Journal of Comparative Zoology, 10.1016/j.jcz.2015.08.002, 258, (99-109), (2015).
    • , Species distribution models for sustainable ecosystem management, Advanced Modelling Techniques Studying Global Changes in Environmental Sciences, 10.1016/B978-0-444-63536-5.00008-9, (115-134), (2015).
    • , Combining the effects of surrounding land-use and propagule pressure to predict the distribution of an invasive plant, Biological Invasions, 17, 1, (477), (2015).
    • , Poor Transferability of Species Distribution Models for a Pelagic Predator, the Grey Petrel, Indicates Contrasting Habitat Preferences across Ocean Basins, PLOS ONE, 10, 3, (e0120014), (2015).
    • , Assessing the distribution of a Vulnerable felid species: threats from human land use and climate change to the kodkod Leopardus guigna, Oryx, 49, 04, (611), (2015).
    • , Methodological caveats in the environmental modelling and projections of climate niche for ticks, with examples for Ixodes ricinus (Ixodidae), Veterinary Parasitology, 10.1016/j.vetpar.2014.12.016, 208, 1-2, (14-25), (2015).
    • , Climate fluctuations as a cause of rarity in fairy armadillos, Mammalian Biology, 10.1016/j.mambio.2015.07.007, 80, 6, (452-458), (2015).
    • , Mechanistic and Correlative Models of Ecological Niches, European Journal of Ecology, 1, 2, (2015).
    • , Modeling of spatial distribution for scorpions of medical importance in the São Paulo State, Brazil, Veterinary World, 8, 7, (823), (2015).
    • , An evaluation of predictive habitat models performance of plant species in Hoze soltan rangelands of Qom province, Ecological Modelling, 309-310, (64), (2015).
    • , Multi-approach mapping to help spatial planning and management of the kelp species L. digitata and L. hyperborea: Case study of the Molène Archipelago, Brittany, Journal of Sea Research, 100, (2), (2015).
    • , Spatial neighborhood effect and scale issues in the calibration and validation of a dynamic model of Phragmites australis distribution – A cellular automata and machine learning approach, Environmental Modelling & Software, 10.1016/j.envsoft.2015.04.010, 71, (15-29), (2015).
    • , Community structure models are improved by exploiting taxonomic rank with predictive clustering trees, Ecological Modelling, 306, (294), (2015).
    • , The impact of modelling method selection on predicted extent and distribution of deep-sea benthic assemblages, Earth and Environmental Science Transactions of the Royal Society of Edinburgh, 10.1017/S1755691015000122, 105, 04, (251-261), (2015).
    • , Evaluation of Scat Deposition Transects versus Radio Telemetry for Developing a Species Distribution Model for a Rare Desert Carnivore, the Kit Fox, PLOS ONE, 10, 10, (e0138995), (2015).
    • , Modelling spatial distributions of alpine vegetation: A graph theory approach to delineate ecologically-consistent species assemblages, Ecological Informatics, 30, (196), (2015).
    • , Modelled habitat suitability of a malaria causing vector (Anopheles arabiensis) relates well with human malaria incidences in Zimbabwe, Applied Geography, 60, (130), (2015).
    • , Assessment of spatial habitat heterogeneity by coupling data-driven habitat suitability models with a 2D hydrodynamic model in small-scale streams, Ecological Informatics, 29, (147), (2015).
    • , Reintroduction of Tasmanian devils to mainland Australia can restore top-down control in ecosystems where dingoes have been extirpated, Biological Conservation, 191, (428), (2015).
    • , Assessment of climatically suitable area for Syrmaticus reevesii under climate change, Endangered Species Research, 28, 1, (19), (2015).
    • , Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur, The Condor, 117, 1, (3), (2015).
    • , Genetic traits leading to invasion: plasticity in cold hardiness explains current distribution of an invasive agricultural pest, Tetranychus evansi (Acari: Tetranychidae), Biological Invasions, 10.1007/s10530-015-0873-8, 17, 8, (2275-2285), (2015).
    • , Conserving Biogeography: Habitat Loss and Vicariant Patterns in Endemic Squamates of the Cerrado Hotspot, PLOS ONE, 10, 8, (e0133995), (2015).
    • , MODIS NDVI based metrics improve habitat suitability modelling in fragmented patchy floodplains, Remote Sensing Applications: Society and Environment, 1, (85), (2015).
    • , Implications of Climate Change for Bird Conservation in the Southwestern U.S. under Three Alternative Futures, PLOS ONE, 10, 12, (e0144089), (2015).
    • , Forest fires within a temperate landscape: A decadal and millennial perspective from a sandstone region in Central Europe, Forest Ecology and Management, 336, (81), (2015).
    • , Location, timing and extent of wildfire vary by cause of ignition, International Journal of Wildland Fire, 24, 1, (37), (2015).
    • , Landscape traits can contribute to range limit equilibrium: habitat constraints refine potential range of an edge population of Black-headed BuntingEmberiza melanocephala, Bird Study, 62, 1, (132), (2015).
    • , Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data, Ecological Modelling, 10.1016/j.ecolmodel.2015.05.035, 312, (308-317), (2015).
    • , Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America, Parasites & Vectors, 8, 1, (153), (2015).
    • , Concordance on zebra stripes is not black and white: response to comment by Caro & Stankowich (2015), Royal Society Open Science, 2, 9, (150359), (2015).
    • , Native forests and climate change: Lessons from eucalypts, Forest Ecology and Management, 10.1016/j.foreco.2015.03.002, 347, (18-29), (2015).
    • , Broad Niche Overlap between Invasive Nile Tilapia Oreochromis niloticus and Indigenous Congenerics in Southern Africa: Should We be Concerned?, Entropy, 17, 12, (4959), (2015).
    • , Identifying priority areas for national-level conservation to achieve Aichi Target 11: A case study of using terrestrial birds breeding in Japan, Journal for Nature Conservation, 10.1016/j.jnc.2014.10.002, 24, (101-108), (2015).
    • , Toward wind farm monitoring optimization: assessment of ecological zones from marine landscapes using machine learning algorithms, Hydrobiologia, 756, 1, (117), (2015).
    • , Modeling vegetation dynamics in the Southern Levant through the Bronze Age, Journal of Archaeological Science, 53, (94), (2015).
    • , Modeling the risk of livestock depredation by jaguar along the Transamazon highway, Brazil, Basic and Applied Ecology, 16, 5, (413), (2015).
    • , Predicting the current and future suitable habitat distribution of Myristica dactyloides Gaertn. using MaxEnt model in the Eastern Ghats, India, Ecological Engineering, 82, (184), (2015).
    • , Post-Soviet land-use change effects on large mammals' habitat in European Russia, Biological Conservation, 191, (567), (2015).
    • , Performance metrics and variance partitioning reveal sources of uncertainty in species distribution models, Ecological Modelling, 309-310, (48), (2015).
    • , Species distribution modelling for Rhipicephalus microplus (Acari: Ixodidae) in Benin, West Africa: Comparing datasets and modelling algorithms, Preventive Veterinary Medicine, 10.1016/j.prevetmed.2014.10.015, 118, 1, (8-21), (2015).
    • , Development and evaluation of species distribution models for fourteen native central U.S. fish species, Hydrobiologia, 747, 1, (159), (2015).
    • , Complex patterns of environmental niche evolution in Iberian columbines (genusAquilegia, Ranunculaceae), Journal of Plant Ecology, 8, 5, (457), (2015).
    • , The geographic and seasonal potential distribution of the little known Fuertes’s Oriole Icterus fuertesi, Bird Conservation International, 25, 04, (489), (2015).
    • , Geographic and Potential Distribution of a Poorly Known South American Bat,Histiotus macrotus(Chiroptera: Vespertilionidae), Acta Chiropterologica, 17, 1, (143), (2015).
    • , Genomic Approaches in Landscape Genetics, Landscape Genetics, (149-164), (2015).
    • , Applying species distribution modelling to the conservation of an ecologically plastic species (Papio papio) across biogeographic regions in West Africa, Journal for Nature Conservation, 27, (26), (2015).
    • , A comparison of landscape fragmentation analysis programs for identifying possible invasive plant species locations in forest edge, Landscape Ecology, 30, 7, (1241), (2015).
    • , A relict species restricted to a quartzitic mountain in tropical America: an example of microrefugium?, Acta Botanica Brasilica, 29, 3, (299), (2015).
    • , Insights from Integrative Systematics Reveal Cryptic Diversity in Pristimantis Frogs (Anura: Craugastoridae) from the Upper Amazon Basin, PLOS ONE, 10, 11, (e0143392), (2015).
    • , A practical method to speed up the discovery of unknown populations using Species Distribution Models, Journal for Nature Conservation, 24, (42), (2015).
    • , Modelling the Northward Expansion of Culicoides sonorensis (Diptera: Ceratopogonidae) under Future Climate Scenarios, PLOS ONE, 10, 8, (e0130294), (2015).
    • , Fishing, fast growth and climate variability increase the risk of collapse, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2015.1053, 282, 1813, (20151053), (2015).
    • , Projected Tree Species Redistribution Under Climate Change: Implications for Ecosystem Vulnerability Across Protected Areas in the Eastern United States, Ecosystems, 10.1007/s10021-014-9822-0, 18, 2, (202-220), (2014).
    • , Fire management, climate change and their interacting effects on birds in complex Mediterranean landscapes: dynamic distribution modelling of an early-successional species—the near-threatened Dartford Warbler (Sylvia undata), Journal of Ornithology, 156, S1, (275), (2015).
    • , Motion capacity, geography and ecological features explain the present distribution of a migratory top predator, Ecological Research, 30, 1, (181-190), (2014).
    • , PaleoENM: applying ecological niche modeling to the fossil record, Paleobiology, 41, 02, (226), (2015).
    • , Coralligenous and maërl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea, Scientific Reports, 10.1038/srep05073, 4, 1, (2014).
    • , Rapid multi-nation distribution assessment of a charismatic conservation species using open access ensemble model GIS predictions: Red panda (Ailurus fulgens) in the Hindu-Kush Himalaya region, Biological Conservation, 181, (150), (2015).
    • , Predicting potential ranges of primary malaria vectors and malaria in northern South America based on projected changes in climate, land cover and human population, Parasites & Vectors, 8, 1, (2015).
    • , Application Natura 2000 Data For The Invasive Plants Spread Prediction*, Scientia Agriculturae Bohemica, 46, 4, (2015).
    • , Predicting harvest vulnerability for a recovering population of American black bears in western Maryland, Ursus, 10.2192/URSUS-D-15-00019.1, 26, 2, (97-106), (2015).
    • , Linking habitat suitability to demography in a pond-breeding amphibian, Frontiers in Zoology, 10.1186/s12983-015-0103-3, 12, 1, (2015).
    • , Activity-specific ecological niche models for planning reintroductions of California condors (Gymnogyps californianus), Biological Conservation, 184, (90), (2015).
    • , The global distribution of Crimean-Congo hemorrhagic fever, Transactions of The Royal Society of Tropical Medicine and Hygiene, 109, 8, (503), (2015).
    • , Will representation targets based on area protect critical resources for the conservation of the Tucuman Parrot?, The Condor, 117, 4, (503), (2015).
    • , Potential distribution models and the effect of climatic change on the distribution of Phengaris nausithous considering its food plant and host ants, Journal of Insect Conservation, 19, 6, (1101), (2015).
    • , Modeling vulnerability of protected areas to invasion by Chromolaena odorata under current and future climates, Ecosystem Health and Sustainability, 1, 6, (1-12), (2015).
    • , Range bagging: a new method for ecological niche modelling from presence-only data, Journal of The Royal Society Interface, 12, 107, (20150086), (2015).
    • , Not to Put Too Fine a Point on It — Does Increasing Precision of Geographic Referencing Improve Species Distribution Models for a Wide-Ranging Migratory Bat?, Acta Chiropterologica, 17, 1, (159), (2015).
    • , Trends and biases in global scientific literature about ecological niche models, Brazilian Journal of Biology, 75, 4 suppl 1, (17), (2015).
    • , A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping, Water Resources Management, 10.1007/s11269-015-1114-8, 29, 14, (5217-5236), (2015).
    • , Winners and losers of climate change for the genus Merodon (Diptera: Syrphidae) across the Balkan Peninsula, Ecological Modelling, 10.1016/j.ecolmodel.2015.06.032, 313, (201-211), (2015).
    • , Climate change threatens giant panda protection in the 21st century, Biological Conservation, 10.1016/j.biocon.2014.11.037, 182, (93-101), (2015).
    • , Seasonally-Dynamic Presence-Only Species Distribution Models for a Cryptic Migratory Bat Impacted by Wind Energy Development, PLOS ONE, 10, 7, (e0132599), (2015).
    • , Characteristics of the top-cited papers in species distribution predictive models, Ecological Modelling, 313, (77), (2015).
    • , Distributions, ex situ conservation priorities, and genetic resource potential of crop wild relatives of sweetpotato [Ipomoea batatas (L.) Lam., I. series Batatas], Frontiers in Plant Science, 6, (2015).
    • , Spatial Niche Partitioning in Sub-Tropical Solitary Ungulates: Four-Horned Antelope and Barking Deer in Nepal, PLOS ONE, 10, 2, (e0117917), (2015).
    • , Ecological non-monotonicity and its effects on complexity and stability of populations, communities and ecosystems, Ecological Modelling, 312, (374), (2015).
    • , Potential geographic distribution of two invasive cassava green mites, Experimental and Applied Acarology, 65, 2, (195), (2015).
    • , Dengue: recent past and future threats, Philosophical Transactions of the Royal Society B: Biological Sciences, 370, 1665, (20130562), (2015).
    • , Niche divergence accelerates evolution in Asian endemic Procapra gazelles, Scientific Reports, 5, 1, (2015).
    • , Projected impacts of climate change on protected birds and nature reserves in China, Science Bulletin, 10.1007/s11434-015-0892-y, 60, 19, (1644-1653), (2015).
    • , Current and future effectiveness of Natura 2000 network in the central Alps for the conservation of mountain forest owl species in a warming climate, European Journal of Wildlife Research, 10.1007/s10344-014-0864-6, 61, 1, (35-44), (2014).
    • , Modelling the potential spatial distribution of mosquito species using three different techniques, International Journal of Health Geographics, 14, 1, (10), (2015).
    • , Identifying Suitable Locations for Mesophotic Hard Corals Offshore of Maui, Hawai‘i, PLOS ONE, 10, 7, (e0130285), (2015).
    • , Predicting the Spatial Distribution of Wolf (Canis lupus) Breeding Areas in a Mountainous Region of Central Italy, PLOS ONE, 10, 6, (e0124698), (2015).
    • , Using maximum entropy modeling for landslide susceptibility mapping with multiple geoenvironmental data sets, Environmental Earth Sciences, 73, 3, (937), (2015).
    • , Using Range-Wide Abundance Modeling to Identify Key Conservation Areas for the Micro-Endemic Bolson Tortoise (Gopherus flavomarginatus), PLOS ONE, 10, 6, (e0131452), (2015).
    • , Threats of future climate change and land use to vulnerable tree species native to Southern California, Environmental Conservation, 10.1017/S0376892914000265, 42, 02, (127-138), (2014).
    • , Testing the relevance of using spatial modeling to predict foraging habitat suitability around bat maternity: A case study in Mediterranean landscape, Biological Conservation, 10.1016/j.biocon.2015.09.012, 192, (120-129), (2015).
    • , Potential distribution of invasive alien species in the upper Ili river basin: determination and mechanism of bioclimatic variables under climate change, Environmental Earth Sciences, 73, 2, (779), (2015).
    • , Predictive modelling of aflatoxin contamination to support maize chain management, World Mycotoxin Journal, 8, 2, (161), (2015).
    • , Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning, Landscape Ecology, 30, 4, (681), (2015).
    • , Predicting alien herb invasion with machine learning models: biogeographical and life-history traits both matter, Biological Invasions, 17, 7, (2187), (2015).
    • , Predicted distributions, niche comparisons, and conservation status of the spotted linsang (Prionodon pardicolor) and banded linsang (Prionodon linsang), Mammal Research, 60, 2, (107), (2015).
    • , Restricted by borders: trade-offs in transboundary conservation planning for large river systems, Biodiversity and Conservation, 10.1007/s10531-015-0864-1, 24, 6, (1403-1421), (2015).
    • , Using Ecological Niche Modeling for Biodiversity Conservation Guidance in the Western Podillya (Ukraine): Reptiles, Vestnik Zoologii, 49, 6, (2015).
    • , Bioclimatic niches of selected endemic Ixora species on the Philippines: predicting habitat suitability due to climate change, Plant Ecology, 216, 9, (1325), (2015).
    • , Distribution and predictive occurrence model of charophytes in Estonian waters, Aquatic Botany, 120, (142), (2015).
    • , Know your limits – The need for better data on species responses to soil variables, Basic and Applied Ecology, 10.1016/j.baae.2015.08.010, 16, 7, (563-572), (2015).
    • , Multiple genetic lineages challenge the monospecific status of the West African endemic frog family Odontobatrachidae, BMC Evolutionary Biology, 15, 1, (2015).
    • , Integrating climate change vulnerability assessments from species distribution models and trait-based approaches, Biological Conservation, 10.1016/j.biocon.2015.05.001, 190, (167-178), (2015).
    • , Fishing suitability maps: helping fishermen reduce discards, Canadian Journal of Fisheries and Aquatic Sciences, 72, 8, (1191), (2015).
    • , Natural abiotic factors more than anthropogenic perturbation shape the invasion of Eastern Mosquitofish ( Gambusia holbrooki ) , Freshwater Science, 10.1086/681948, 34, 3, (965-974), (2015).
    • , Remote sensing variables as predictors of habitat suitability of the viscacha rat (Octomys mimax), a rock-dwelling mammal living in a desert environment, Mammal Research, 60, 2, (117), (2015).
    • , Anthropogenic disturbance and habitat loss for the red-listed Asiatic black bear ( Ursus thibetanus ): Using ecological niche modeling and nighttime light satellite imagery, Biological Conservation, 191, (400), (2015).
    • , Mapping seasonal European bison habitat in the Caucasus Mountains to identify potential reintroduction sites, Biological Conservation, 191, (83), (2015).
    • , DISTRIBUTION PATTERNS AND AREAS OF ENDEMISM OF BRAZILIAN JACQUEMONTIA (CONVOLVULACEAE) SPECIES, Edinburgh Journal of Botany, 72, 01, (13), (2015).
    • , Safeguarding Ecosystem Services: A Methodological Framework to Buffer the Joint Effect of Habitat Configuration and Climate Change, PLOS ONE, 10, 6, (e0129225), (2015).
    • , Citizen science and field survey observations provide comparable results for mapping Vancouver Island White-tailed Ptarmigan (Lagopus leucura saxatilis) distributions, Biological Conservation, 181, (162), (2015).
    • , Bayesian logistic regression for presence-only data, Stochastic Environmental Research and Risk Assessment, 29, 6, (1721), (2015).
    • , Modeling invasion risk for coastal marine species utilizing environmental and transport vector data, Hydrobiologia, 10.1007/s10750-014-2027-x, 746, 1, (349-362), (2014).
    • , Concordant species delimitation from multiple independent evidence: A case study with the Pachytriton brevipes complex (Caudata: Salamandridae), Molecular Phylogenetics and Evolution, 92, (108), (2015).
    • , Assessing the distribution and habitat use of four felid species in Bukit Barisan Selatan National Park, Sumatra, Indonesia, Global Ecology and Conservation, 10.1016/j.gecco.2014.11.009, 3, (210-221), (2015).
    • , Prioritizing West African medicinal plants for conservation and sustainable extraction studies based on market surveys and species distribution models, Biological Conservation, 181, (173), (2015).
    • , Species extinction risk might increase out of reserves: allowances for conservation of threatened butterfly Actinote quadra (Lepidoptera: Nymphalidae) under global warming, Natureza & Conservação, 13, 2, (159), (2015).
    • , Spatial characterization of colonies of the flying fox bat, a carrier of Nipah Virus in Thailand, BMC Veterinary Research, 11, 1, (2015).
    • , Caveats for correlative species distribution modeling, Ecological Informatics, 10.1016/j.ecoinf.2015.06.007, 29, (6-15), (2015).
    • , Habitat suitability modelling of four terrestrial slug species in the Iberian Peninsula (Arionidae:Geomalacusspecies), Journal of Molluscan Studies, 81, 4, (427), (2015).
    • , The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus, eLife, 4, (2015).
    • , Predicting coexistence and predominance patterns between the introduced Manila clam (Ruditapes philippinarum) and the European native clam (Ruditapes decussatus), Estuarine, Coastal and Shelf Science, 152, (162), (2015).
    • , River dynamics and invasion: distribution patterns of native and invasive woody vegetation at the Río Negro, Argentina, Riparian Ecology and Conservation, 10.1515/remc-2015-0001, 2, 1, (2015).
    • , Predicting the Distribution of Crayfish Species: A Case Study Using Marble Crayfish, Freshwater Crayfish, 10.1201/b18723-4, (13-30), (2015).
    • , Range Shifts Under Future Scenarios of Climate Change: Dispersal Ability Matters for Colorado Plateau Endemic Plants, Natural Areas Journal, 10.3375/043.035.0306, 35, 3, (428-438), (2015).
    • , A geo-statistical approach to model Asiatic cheetah, onager, gazelle and wild sheep shared niche and distribution in Turan biosphere reserve-Iran, Ecological Informatics, 29, (25), (2015).
    • , Novel Approaches to Modeling and Mapping Terrestrial Vertebrate Occurrence in the Northwest and Alaska: An Evaluation, Northwest Science, 89, 4, (355), (2015).
    • , Understanding the distribution of a threatened bird at multiple levels: A hierarchical analysis of the ecological niche of the Santa Marta Bush-Tyrant (Myiotheretes pernix), The Condor, 117, 4, (629), (2015).
    • , A tool for identifying potentialEucalyptus nitensseed orchard sites based on climate and topography, Southern Forests: a Journal of Forest Science, 77, 2, (123), (2015).
    • , Invasion Risk in a Warmer World: Modeling Range Expansion and Habitat Preferences of Three Nonnative Aquatic Invasive Plants, Invasive Plant Science and Management, 8, 04, (436), (2015).
    • , Environmental niche variation and evolutionary diversification of the Brachypodium distachyon grass complex species in their native circum‐Mediterranean range, American Journal of Botany, 102, 7, (1073-1088), (2015).
    • , Estimating colonization and invasion risk maps for Linepithema humile, in Japan, Journal of Asia-Pacific Entomology, 18, 2, (343), (2015).
    • , Ancient woodland indicators signal the climate change risk for dispersal-limited species, Ecological Indicators, 53, (106), (2015).
    • , Decomposition of the maximum entropy niche function – A step beyond modelling species distribution, Environmental Modelling & Software, 72, (250), (2015).
    • , Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel‐contaminated soil, Ecology and Evolution, 5, 13, (2633-2645), (2015).
    • , Plant bioclimatic models in climate change research, Botanical Studies, 10.1186/s40529-015-0104-8, 56, 1, (2015).
    • , Test the relative importance of biotic and abiotic factors on species distribution – A case study in the Yellow River Delta, Acta Ecologica Sinica, 35, 3, (59), (2015).
    • , Muskellunge Spawning Site Selection in Northern Wisconsin Lakes and a GIS‐Based Predictive Habitat Model, North American Journal of Fisheries Management, 35, 1, (141-157), (2015).
    • , Species interactions during diversification and community assembly in Malagasy Miniopterus bats, Evolutionary Ecology, 29, 1, (17), (2015).
    • , Adaptive management, international co-operation and planning for marine conservation hotspots in a changing climate, Marine Policy, 53, (54), (2015).
    • , Morphological Variation, Niche Divergence, and Phylogeography of Lizards of theLiolaemus lineomaculatusSection (Liolaemini) from Southern Patagonia, Herpetological Monographs, 29, 1, (65), (2015).
    • , Using Historical Atlas Data to Develop High-Resolution Distribution Models of Freshwater Fishes, PLOS ONE, 10, 6, (e0129995), (2015).
    • , A Phylogeographic Investigation of African Monkeypox, Viruses, 7, 12, (2168), (2015).
    • , Current and potential geographical distribution of Platymeris biguttatus (Linnaeus, 1767) with description of nymphs, Zoological Studies, 54, 1, (2015).
    • , A framework for species distribution modelling with improved pseudo-absence generation, Ecological Modelling, 312, (166), (2015).
    • , The impact of climate change on the geographical distribution of two vectors of Chagas disease: implications for the force of infection, Philosophical Transactions of the Royal Society B: Biological Sciences, 370, 1665, (20130560), (2015).
    • , Using Species Distribution Modeling to Assess Factors that Determine the Distribution of Two Parapatric Howlers (Alouatta spp.) in South America, International Journal of Primatology, 36, 1, (18), (2015).
    • , Adaptive invasive species distribution models: a framework for modeling incipient invasions, Biological Invasions, 17, 10, (2831), (2015).
    • , Combining Niche Modelling, Land-Use Change, and Genetic Information to Assess the Conservation Status of Pouteria splendens Populations in Central Chile , International Journal of Ecology, 10.1155/2015/612194, 2015, (1-12), (2015).
    • , A species‐centered approach for uncovering generalities in organism responses to habitat loss and fragmentation, Ecography, 37, 6, (517-527), (2014).
    • , Where is positional uncertainty a problem for species distribution modelling?, Ecography, 37, 2, (191-203), (2013).
    • , Inferring the similarity of species distributions using Species’ Distribution Models, Ecography, 37, 2, (130-136), (2013).
    • , Detecting Extinction Risk from Climate Change by IUCN Red List Criteria, Conservation Biology, 28, 3, (810-819), (2014).
    • , Uncertainty associated with survey design in Species Distribution Models, Diversity and Distributions, 20, 11, (1258-1269), (2014).
    • , Refugia, colonization and diversification of an arid‐adapted bird: coincident patterns between genetic data and ecological niche modelling, Molecular Ecology, 23, 2, (390-407), (2013).
    • , The transparency, reliability and utility of tropical rainforest land‐use and land‐cover change models, Global Change Biology, 20, 6, (1707-1722), (2014).
    • , Species ecology and the impacts of bioenergy crops: an assessment approach with four example farmland bird species, GCB Bioenergy, 6, 3, (252-264), (2014).
    • , Landscape diversity slows the spread of an invasive forest pest species, Ecography, 37, 7, (648-658), (2014).
    • , Integrating phylogenetic community structure with species distribution models: an example with plants of rock barrens, Ecography, 37, 7, (614-625), (2013).
    • , Climate change shifts environmental space and limits transferability of treeline models, Ecography, 37, 4, (321-335), (2013).
    • , Field validation shows bias‐corrected pseudo‐absence selection is the best method for predictive species‐distribution modelling, Diversity and Distributions, 20, 12, (1403-1413), (2014).
    • , Predicting seasonal habitat suitability for the critically endangered African wild ass in the Danakil, Ethiopia, African Journal of Ecology, 52, 4, (533-542), (2014).
    • , ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models, Methods in Ecology and Evolution, 5, 11, (1198-1205), (2014).
    • , Measuring the relative effect of factors affecting species distribution model predictions, Methods in Ecology and Evolution, 5, 9, (947-955), (2014).
    • , Spatial patterns, ecological niches, and interspecific competition of avian brood parasites: inferring from a case study of Korea, Ecology and Evolution, 4, 18, (3689-3702), (2014).
    • , Niche Conservatism and Future Changes in the Potential Area Coverage of Arundina graminifolia, an Invasive Orchid Species from Southeast Asia, Biotropica, 46, 2, (157-165), (2014).
    • , Can biotic interactions cause allopatry? Niche models, competition, and distributions of South American mouse opossums, Ecography, 37, 8, (741-753), (2014).
    • , Temporal validation plots: quantifying how well correlative species distribution models predict species' range changes over time, Methods in Ecology and Evolution, 5, 5, (407-420), (2014).
    • , A tool for simulating and communicating uncertainty when modelling species distributions under future climates, Ecology and Evolution, 4, 24, (4798-4811), (2014).
    • , Roosting behaviour and habitat selection of Pteropus giganteus reveal potential links to Nipah virus epidemiology, Journal of Applied Ecology, 51, 2, (376-387), (2014).
    • , Scaling of species distribution models across spatial resolutions and extents along a biogeographic gradient. The case of the Iberian mole Talpa occidentalis, Ecography, 37, 3, (279-292), (2013).
    • , Application of consensus theory to formalize expert evaluations of plant species distribution models, Applied Vegetation Science, 17, 3, (528-542), (2013).
    • , Stacking species distribution models and adjusting bias by linking them to macroecological models, Global Ecology and Biogeography, 23, 1, (99-112), (2013).
    • , Ecological niche models in phylogeographic studies: applications, advances and precautions, Molecular Ecology Resources, 14, 2, (233-248), (2013).
    • , The effect of spatially marginal localities in modelling species niches and distributions, Journal of Biogeography, 41, 7, (1390-1401), (2014).
    • , Modeling the role of the close‐range effect and environmental variables in the occurrence and spread of hragmites australis in four sites on the Finnish coast of the Gulf of Finland and the Archipelago Sea, Ecology and Evolution, 4, 7, (987-1005), (2014).
    • , Influence of climatic niche suitability and geographical overlap on hybridization patterns among southern Californian oaks, Journal of Biogeography, 41, 10, (1895-1908), (2014).
    • , Identifying the paths leading to variation in geographical range size in western North American monkeyflowers, Journal of Biogeography, 41, 12, (2344-2356), (2014).
    • , Ensemble distribution models in conservation prioritization: from consensus predictions to consensus reserve networks, Diversity and Distributions, 20, 3, (309-321), (2013).
    • , Invasive aphids of the tribe Siphini: a model of potentially suitable ecological niches, Agricultural and Forest Entomology, 16, 4, (434-443), (2014).
    • , Implications of climatic heterogeneity for conservation of the Lesser Prairie‐Chicken (Tympanuchus pallidicinctus), Ecosphere, 5, 5, (1-17), (2014).
    • , Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models, Diversity and Distributions, 20, 10, (1147-1159), (2014).
    • , bioclim: the first species distribution modelling package, its early applications and relevance to most current MaxEnt studies, Diversity and Distributions, 20, 1, (1-9), (2013).
    • , Do communities exist? Complex patterns of overlapping marine species distributions, Ecology, 95, 7, (2016-2025), (2014).
    • , Does probability of occurrence relate to population dynamics?, Ecography, 37, 12, (1155-1166), (2014).
    • , Freshwater conservation planning under climate change: demonstrating proactive approaches for Australian Odonata, Journal of Applied Ecology, 51, 5, (1273-1281), (2014).
    • , Temporal dynamics of areas of endemism under climate change: a case study of Mexican Bursera (Burseraceae), Journal of Biogeography, 41, 5, (871-881), (2013).
    • , Comparative rangewide phylogeography of four endemic Taiwanese bat species, Molecular Ecology, 23, 14, (3566-3586), (2014).
    • , Potential impacts of climate change on distribution range of abis pseudoferus and . palifer (Hemiptera: Nabidae) in Iran, Entomological Science, 17, 3, (283-292), (2013).
    • , Mathematical contributions to link biota with environment, Journal of Vegetation Science, 25, 5, (1148-1153), (2014).
    • , Investigating potential determinants of the distribution limits of a savanna woody plant: olophospermum mopane, Journal of Vegetation Science, 25, 2, (363-373), (2013).
    • , Late Pleistocene to Holocene distributional stasis in scorpions along the Baja California peninsula, Biological Journal of the Linnean Society, 111, 2, (450-461), (2014).
    • , Assessing the exposure of lion tamarins (Leontopithecus spp.) to future climate change, American Journal of Primatology, 76, 6, (551-562), (2013).
    • , Impact assessment of dam construction and forest management for Japanese macaque habitats in snowy areas, American Journal of Primatology, 76, 3, (271-280), (2013).
    • , Quantifying the ecological niche overlap between two interacting invasive species: the zebra mussel (Dreissena polymorpha) and the quagga mussel (Dreissena rostriformis bugensis), Aquatic Conservation: Marine and Freshwater Ecosystems, 24, 3, (324-337), (2013).
    • , A continental risk assessment of West Nile virus under climate change, Global Change Biology, 20, 8, (2417-2425), (2014).
    • , The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots, Journal of Biogeography, 41, 3, (513-523), (2013).
    • , Predictability in species distributions: a global analysis across organisms and ecosystems, Global Ecology and Biogeography, 23, 11, (1264-1274), (2014).
    • , The n‐dimensional hypervolume, Global Ecology and Biogeography, 23, 5, (595-609), (2014).
    • , Imperfect detection impacts the performance of species distribution models, Global Ecology and Biogeography, 23, 4, (504-515), (2013).
    • , Modeling distribution and abundance of multiple species: Different pooling strategies produce similar results, Ecosphere, 5, 12, (1-24), (2014).
    • , Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara–Sahel transition zone, Diversity and Distributions, 20, 1, (20-33), (2013).
    • , Conservation implications of omitting narrow‐ranging taxa from species distribution models, now and in the future, Diversity and Distributions, 20, 11, (1307-1320), (2014).
    • , Generalized “avatar” niche shifts improve distribution models for invasive species, Diversity and Distributions, 20, 11, (1296-1306), (2014).
    • , Low genetic diversity and high inbreeding of the endangered yews in Central Himalaya: implications for conservation of their highly fragmented populations, Diversity and Distributions, 20, 11, (1270-1284), (2014).
    • , A 40‐year, continent‐wide, multispecies assessment of relevant climate predictors for species distribution modelling, Diversity and Distributions, 20, 11, (1285-1295), (2014).
    • , Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north, Diversity and Distributions, 20, 2, (193-201), (2013).
    • , Predicting distribution changes of a mire ecosystem under future climates, Diversity and Distributions, 20, 4, (440-454), (2014).
    • , How can knowledge of the climate niche inform the weed risk assessment process? A case study of hrysanthemoides monilifera in Australia, Diversity and Distributions, 20, 6, (613-625), (2014).
    • , Testing for taxonomic bias in the future diversity of Australian Odonata, Diversity and Distributions, 20, 9, (1016-1028), (2014).
    • , Conservation paleobiology needs phylogenetic methods, Ecography, 37, 11, (1109-1122), (2014).
    • , Recognising fuzzy vegetation pattern: the spatial prediction of floristically defined fuzzy communities using species distribution modelling methods, Journal of Vegetation Science, 25, 2, (323-337), (2013).
    • , Potential distribution of Avena sterilis L. in Europe under climate change, Annals of Applied Biology, 165, 1, (53-61), (2014).
    • , Informing management of endemic habitat specialists: Multiscale habitat selection by the Red Hills salamander, The Journal of Wildlife Management, 78, 3, (463-470), (2014).
    • , Enhancing species distribution modeling by characterizing predator–prey interactions, Ecological Applications, 24, 1, (204-216), (2014).
    • , Can fire atlas data improve species distribution model projections?, Ecological Applications, 24, 5, (1057-1069), (2014).
    • , More than the sum of the parts: forest climate response from joint species distribution models, Ecological Applications, 24, 5, (990-999), (2014).
    • , Insights from ecological niche modeling on the taxonomic distinction and niche differentiation between the black‐spotted and red‐spotted tokay geckoes (ekko gecko), Ecology and Evolution, 4, 17, (3383-3394), (2014).
    • , Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities, Global Change Biology, 20, 1, (89-102), (2013).
    • , Precipitation and winter temperature predict long‐term range‐scale abundance changes in Western North American birds, Global Change Biology, 20, 11, (3351-3364), (2014).
    • , Climate change effects on animal and plant phylogenetic diversity in southern Africa, Global Change Biology, 20, 5, (1538-1549), (2014).
    • , Dietary guild composition and disaggregation of avian assemblages under climate change, Global Change Biology, 20, 3, (790-802), (2014).
    • , Climate and host plant availability impact the future distribution of the bean leaf beetle (Cerotoma trifurcata), Global Change Biology, 20, 9, (2778-2792), (2014).
    • , Efficiently targeting resources to deter illegal activities in protected areas, Journal of Applied Ecology, 51, 3, (714-725), (2014).
    • , Species distribution models of an endangered rodent offer conflicting measures of habitat quality at multiple scales, Journal of Applied Ecology, 51, 4, (1116-1125), (2014).
    • , The biogeographical boundaries of northern Australia: evidence from ecological niche models and a multi‐locus phylogeny of Uperoleia toadlets (Anura: Myobatrachidae), Journal of Biogeography, 41, 4, (659-672), (2013).
    • , Integrating phylogeography, physiology and habitat modelling to explore species range determinants, Journal of Biogeography, 41, 4, (687-699), (2013).
    • , How cold‐adapted flightless flies dispersed over the northern hemisphere: phylogeny and biogeography of the snow fly genus Chionea Dalman (Diptera: Limoniidae), Systematic Entomology, 39, 3, (563-589), (2014).
    • , Potential distribution of two mbrosia species in China under projected climate change, Weed Research, 54, 5, (520-531), (2014).
    • , Niche evolution and thermal adaptation in the temperate species Drosophila americana, Journal of Evolutionary Biology, 27, 8, (1549-1561), (2014).
    • , Contrasting habitat use of morphologically similar bat species with differing conservation status in south‐eastern Australia, Austral Ecology, 39, 1, (83-94), (2013).
    • , Accounting for imperfect detection and survey bias in statistical analysis of presence‐only data, Global Ecology and Biogeography, 23, 12, (1472-1484), (2014).
    • , Multiple drivers of plant diversity in forest ecosystems, Global Ecology and Biogeography, 23, 8, (885-893), (2014).
    • , How long should we ignore imperfect detection of species in the marine environment when modelling their distribution?, Fish and Fisheries, 15, 2, (352-358), (2013).
    • , Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment, Ecosphere, 5, 7, (1-23), (2014).
    • , Demography linked to climate change projections in an ecoregional case study: integrating forecasts and field data, Ecosphere, 5, 7, (1-16), (2014).
    • , Quantifying ecological drivers of ecosystem productivity of the early‐successional boreal Larix gmelinii forest, Ecosphere, 5, 7, (1-16), (2014).
    • , Influence of land use and climate on recent forest expansion: a case study in the Eurosiberian–Mediterranean limit of north‐west Spain, Journal of Ecology, 102, 4, (905-919), (2014).
    • , Geographic selection bias of occurrence data influences transferability of invasive ydrilla verticillata distribution models, Ecology and Evolution, 4, 12, (2584-2593), (2014).
    • , Biogeographical analysis of the Atlantic Sahara reptiles: Environmental correlates of species distribution and vulnerability to climate change, Journal of Arid Environments, 109, (65), (2014).
    • , Bioclimatic variables derived from remote sensing: assessment and application for species distribution modelling, Methods in Ecology and Evolution, 5, 10, (1033-1042), (2014).
    • , The fourth‐corner solution – using predictive models to understand how species traits interact with the environment, Methods in Ecology and Evolution, 5, 4, (344-352), (2014).
    • , Improving species distribution models: the value of data on abundance, Methods in Ecology and Evolution, 5, 6, (506-513), (2014).
    • , Beyond the species–area relationship: improving macroecological extinction estimates, Methods in Ecology and Evolution, 5, 1, (1-8), (2013).
    • , Pattern‐recognition ecological niche models fit to presence‐only and presence–absence data, Methods in Ecology and Evolution, 5, 8, (761-770), (2014).
    • , Climate controls the distribution of a widespread invasive species: implications for future range expansion, Freshwater Biology, 59, 4, (847-857), (2014).
    • , Combining genetic analyses of archived specimens with distribution modelling to explain the anomalous distribution of the rare lichen Staurolemma omphalarioides: long‐distance dispersal or vicariance?, Journal of Biogeography, 41, 11, (2020-2031), (2014).
    • , Combining population genetics, species distribution modelling and field assessments to understand a species vulnerability to climate change, Austral Ecology, 39, 1, (17-28), (2013).
    • , Ensemble algorithms for ecological niche modeling from presence‐background and presence‐only data, Ecosphere, 5, 6, (1-16), (2014).
    • , Spatial distribution and range expansion of the Tawny Coster butterfly, Acraea terpsicore (Linnaeus, 1758) (Lepidoptera: Nymphalidae), in South‐East Asia and Australia, Insect Conservation and Diversity, 7, 2, (132-143), (2013).
    • , Predicting performance and survival across topographically heterogeneous landscapes: the global pest insect elicoverpa armigera (Hübner, 1808) (Lepidoptera: Noctuidae), Austral Entomology, 53, 3, (249-258), (2014).
    • , Supporting EFSA assessment of the EU environmental suitability for exotic forestry pests: Final Report, EFSA Supporting Publications, 11, 3, (2014).
    • , Using citizen‐reported data to predict distributions of two non‐native insect species in Sweden, Ecosphere, 5, 12, (1-16), (2014).
    • , Prey switching as a means of enhancing persistence in predators at the trailing southern edge, Global Change Biology, 20, 4, (1126-1135), (2013).
    • , Field validation supports novel niche modeling strategies in a cryptic endangered amphibian, Ecography, 37, 10, (983-992), (2014).
    • , Bukovina blind mole rat palax graecus revisited: phylogenetics, morphology, taxonomy, habitat associations and conservation, Mammal Review, 44, 1, (19-29), (2013).
    • , Distribution pattern of the Snake-eyed Lizard,Ophisops elegansMénétriés, 1832 (Squamata: Lacertidae), in Iran, Zoology in the Middle East, 60, 2, (125), (2014).
    • , Multilocus analysis of intraspecific differentiation in three endemic bird species from the northern Neotropical dry forest, Molecular Phylogenetics and Evolution, 70, (362), (2014).
    • , Range shift and introgression of the rear and leading populations in two ecologically distinct Rubusspecies, BMC Evolutionary Biology, 14, 1, (2014).
    • , A high resolution predictive model for relict trees in the Mediterranean-mountain forests (Pinus sylvestris L., P. nigra Arnold and Abies pinsapo Boiss.) from the south of Spain: A reliable management tool for reforestation, Forest Ecology and Management, 330, (105), (2014).
    • , Predicting spatio-temporal Culicoides imicola distributions in Spain based on environmental habitat characteristics and species dispersal, Ecological Informatics, 10.1016/j.ecoinf.2014.05.006, 22, (69-80), (2014).
    • , Non-native species in Canada’s boreal zone: diversity, impacts, and risk, Environmental Reviews, 22, 4, (372), (2014).
    • , Predicting fine-scale tree species abundance patterns using biotic variables derived from LiDAR and high spatial resolution imagery, Remote Sensing of Environment, 150, (120), (2014).
    • , Comparative ecological niche modeling and evolutionary ecology of Neotropical mycophagous Drosophilidae (Diptera) species, Studies on Neotropical Fauna and Environment, 49, 2, (79), (2014).
    • , Changes in the Distribution of Lesser Adjutant Storks (Leptoptilos javanicus) in South and Southeast Asia: A Plausible Evidence of Global Climate and Land-use Change Effect, International Journal of Zoological Research, 10.3923/ijzr.2014.9.14, 10, 1, (9-14), (2014).
    • , Mapping Reef Fish and the Seascape: Using Acoustics and Spatial Modeling to Guide Coastal Management, PLoS ONE, 9, 1, (e85555), (2014).
    • , Casuarina: biogeography and ecology of an important tree genus in a changing world, Biological Invasions, 10.1007/s10530-013-0613-x, 16, 3, (609-633), (2013).
    • , The Potential Impact of White-Nose Syndrome on the Conservation Status of North American Bats, PLoS ONE, 9, 9, (e107395), (2014).
    • , Converting probabilistic tree species range shift projections into meaningful classes for management, Journal of Environmental Management, 134, (153), (2014).
    • , Climatic Change and Desert Vegetation Distribution: Assessing Thirty Years of Change in Southern Nevada's Mojave Desert, The Professional Geographer, 66, 2, (311), (2014).
    • , Distribution and ecological preferences of noble crayfish in the Carpathian Danube basin: biogeographical insights into the species history, Hydrobiologia, 726, 1, (53), (2014).
    • , Species distribution models backing taxa delimitation: the case of the lichen Squamarina cartilaginea in Italy, Flora - Morphology, Distribution, Functional Ecology of Plants, 209, 12, (698), (2014).
    • , Mapping Maize, Tobacco, and Soybean Fields in Large-Scale Commercial Farms of Zimbabwe Based on Multitemporal NDVI Images in MAXENT, Canadian Journal of Remote Sensing, 40, 6, (396), (2014).
    • , On the present and potential distribution of Ageratina adenophora (Asteraceae) in South Africa, South African Journal of Botany, 95, (152), (2014).
    • , Using environmental niche models to test the ‘everything is everywhere’ hypothesis for Badhamia, The ISME Journal, 8, 4, (737), (2014).
    • , Distribution of benthic marine invertebrates at northern latitudes ― An evaluation applying multi-algorithm species distribution models, Journal of Sea Research, 10.1016/j.seares.2013.05.007, 85, (241-254), (2014).
    • , Quantitative mapping of fish habitat: A useful tool to design spatialised management measures and marine protected area with fishery objectives, Ocean & Coastal Management, 87, (8), (2014).
    • , The Influence of Physical Factors on Kelp and Sea Urchin Distribution in Previously and Still Grazed Areas in the NE Atlantic, PLoS ONE, 9, 6, (e100222), (2014).
    • , Effects of climate change and urban development on the distribution and conservation of vegetation in a Mediterranean type ecosystem, International Journal of Geographical Information Science, 10.1080/13658816.2013.846472, 28, 8, (1561-1589), (2013).
    • , Spatial bias in the GBIF database and its effect on modeling species' geographic distributions, Ecological Informatics, 19, (10), (2014).
    • , Impact of Climate Change on Potential Distribution of Chinese Caterpillar Fungus (Ophiocordyceps sinensis) in Nepal Himalaya, PLoS ONE, 9, 9, (e106405), (2014).
    • , Predicting the potential habitat of the harmful cyanobacteria Lyngbya majuscula in the Canary Islands (Spain), Harmful Algae, 34, (76), (2014).
    • , Pest species distribution modelling: origins and lessons from history, Biological Invasions, 16, 2, (239), (2014).
    • , The potential effects of climate change on the distribution and productivity of Cunninghamia lanceolata in China, Environmental Monitoring and Assessment, 10.1007/s10661-013-3361-6, 186, 1, (135-149), (2013).
    • , Predicting Current and Future Invasion ofSolidago canadensis: a Study from China, Polish Journal of Ecology, 62, 2, (263), (2014).
    • , Climate change threats to protected plants of China: an evaluation based on species distribution modeling, Chinese Science Bulletin, 10.1007/s11434-014-0642-6, 59, 34, (4652-4659), (2014).
    • , Habitat and distribution of the Wyoming pocket gopher (Thomomys clusius), Journal of Mammalogy, 95, 4, (803), (2014).
    • , Model Thresholds are More Important than Presence Location Type: Understanding the Distribution of Lowland tapir ( Tapirus Terrestris ) in a Continuous Atlantic Forest of Southeast Brazil , Tropical Conservation Science, 10.1177/194008291400700311, 7, 3, (529-547), (2014).
    • , Model of potential distribution of Platymeris rhadamanthus Gerstaecker, 1873 with redescription of species, Zoological Studies, 10.1186/1810-522X-53-8, 53, 1, (2014).
    • , Climate change and conservation implications for wet meadows in dry Patagonia, Environmental Conservation, 10.1017/S037689291300026X, 41, 02, (122-131), (2013).
    • , Narrow endemics to Mediterranean islands: Moderate genetic diversity but narrow climatic niche of the ancient, critically endangered Naufraga (Apiaceae), Perspectives in Plant Ecology, Evolution and Systematics, 16, 4, (190), (2014).
    • , Refining Climate Change Projections for Organisms with Low Dispersal Abilities: A Case Study of the Caspian Whip Snake, PLoS ONE, 9, 3, (e91994), (2014).
    • , Distributional potential of the Triatoma brasiliensis species complex at present and under scenarios of future climate conditions, Parasites & Vectors, 7, 1, (238), (2014).
    • , Delineating Ecological Boundaries of Hanuman Langur Species Complex in Peninsular India Using MaxEnt Modeling Approach, PLoS ONE, 9, 2, (e87804), (2014).
    • , Potential distribution of the endangered endemic lizard Liolaemus lutzae Mertens, 1938 (Liolaemidae): are there other suitable areas for a geographically restricted species?, Brazilian Journal of Biology, 74, 2, (338), (2014).
    • , Climate change hastens the urgency of conservation for range-restricted plant species in the central-northern Mediterranean region, Biological Conservation, 10.1016/j.biocon.2014.09.015, 179, (129-138), (2014).
    • , Shaping up model transferability and generality of species distribution modeling for predicting invasions: implications from a study on Bythotrephes longimanus, Biological Invasions, 16, 10, (2079), (2014).
    • , Habitat Characterization and Migrations, Biology and Ecology of Sardines and Anchovies, 10.1201/b16682-8, (191-241), (2014).
    • , Unveiling the Impact of Human Influence on Species Distributions in Vietnam: A Case Study Using Babblers (Aves: Timaliidae), Tropical Conservation Science, 7, 3, (586), (2014).
    • , Validating a method for transferring social values of ecosystem services between public lands in the Rocky Mountain region, Ecosystem Services, 10.1016/j.ecoser.2014.03.008, 8, (166-177), (2014).
    • , A modelling approach to infer the effects of wind farms on landscape connectivity for bats, Landscape Ecology, 29, 5, (891), (2014).
    • , Genetic Diversity and Ecological Niche Modelling of Wild Barley: Refugia, Large-Scale Post-LGM Range Expansion and Limited Mid-Future Climate Threats?, PLoS ONE, 9, 2, (e86021), (2014).
    • , Benefits and drawbacks of two modelling approaches for a generalist carnivore: can models predict where Wile E. Coyote will turn up next?, International Journal of Geographical Information Science, 28, 8, (1590), (2014).
    • , Distribution and conservation of the relict interaction between the butterfly Agriades zullichi and its larval foodplant (Androsace vitaliana nevadensis), Biodiversity and Conservation, 23, 4, (927), (2014).
    • , Applying spatial analysis of genetic and environmental data to predict connection corridors to the New World screwworm populations in South America, Acta Tropica, 138, (S34), (2014).
    • , Predicting species’ abundances from occurrence data: Effects of sample size and bias, Ecological Modelling, 294, (36), (2014).
    • , The potential distribution of the Vulnerable African lion Panthera leo in the face of changing global climate, Oryx, 48, 04, (555), (2014).
    • , Separation of the bioclimatic spaces of Himalayan tree rhododendron species predicted by ensemble suitability models, Global Ecology and Conservation, 1, (2), (2014).
    • , Providing insights on habitat connectivity for male brown bears: A combination of habitat suitability and landscape graph-based models, Ecological Modelling, 10.1016/j.ecolmodel.2014.04.024, 286, (37-44), (2014).
    • , Maps, models, and marine vulnerability: Assessing the community distribution of seabirds at-sea, Biological Conservation, 172, (15), (2014).
    • , Drivers of forest harvesting intensity patterns in Europe, Forest Ecology and Management, 10.1016/j.foreco.2013.12.030, 315, (160-172), (2014).
    • , Identifying Priority Species and Conservation Opportunities Under Future Climate Scenarios: Amphibians in a Biodiversity Hotspot, Journal of Fish and Wildlife Management, 5, 2, (282), (2014).
    • , Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning, Malaria Journal, 10.1186/1475-2875-13-52, 13, 1, (2014).
    • , Multiple cryptic refugia of forest grass Bromus benekenii in Europe as revealed by ISSR fingerprinting and species distribution modelling, Plant Systematics and Evolution, 300, 6, (1437), (2014).
    • , Land use factors determining occurrence of Red-necked Spurfowl (Pternistis afer) in the Drakensberg Midlands, South Africa, Journal of Ornithology, 10.1007/s10336-013-1028-2, 155, 2, (471-480), (2013).
    • , Analysis of environmental correlates of sexual segregation in northern elephant seals using species distribution models, Marine Biology, 161, 2, (481), (2014).
    • , Sympatry without co-occurrence: exploring the pattern of distribution of two Helix species in Georgia using an ecological niche modelling approach, Journal of Molluscan Studies, 80, 3, (249), (2014).
    • , The Predictive Performance and Stability of Six Species Distribution Models, PLoS ONE, 9, 11, (e112764), (2014).
    • , The role of environmental factors in the spatial distribution of Japanese encephalitis in mainland China, Environment International, 10.1016/j.envint.2014.07.004, 73, (1-9), (2014).
    • , Invasive potential of cattle fever ticks in the southern United States, Parasites & Vectors, 7, 1, (189), (2014).
    • , Applications of systematic approaches in freshwater conservation planning, Chinese Science Bulletin, 10.1007/s11434-014-0444-x, 59, 32, (4256-4270), (2014).
    • , The unusual suspect: Land use is a key predictor of biodiversity patterns in the Iberian Peninsula, Acta Oecologica, 10.1016/j.actao.2014.10.005, 61, (41-50), (2014).
    • , An Iterative and Targeted Sampling Design Informed by Habitat Suitability Models for Detecting Focal Plant Species over Extensive Areas, PLoS ONE, 9, 7, (e101196), (2014).
    • , Reassessment of the conservation status and protected area coverage of Taiwanese birds: How distribution modelling can help species conservation, Bird Conservation International, 24, 02, (223), (2014).
    • , Extinction in Eden: identifying the role of climate change in the decline of the koala in south-eastern NSW, Wildlife Research, 10.1071/WR13054, 41, 1, (22), (2014).
    • , Recorded and potential distributions on the iberian peninsula of speciesof Lepidoptera listed in the Habitats Directive, European Journal of Entomology, 10.14411/eje.2014.042, 111, 3, (407-415), (2014).
    • , Reconstructing palaeoclimatic variables from fossil pollen using boosted regression trees: comparison and synthesis with other quantitative reconstruction methods, Quaternary Science Reviews, 88, (69), (2014).
    • , Habitat Selection by Transient African Wild Dogs ( Lycaon pictus ) in Northern KwaZulu-Natal, South Africa: Implications for Range Expansion , South African Journal of Wildlife Research, 10.3957/056.044.0201, 44, 2, (135-147), (2014).
    • , Risk of invasion by frequently traded freshwater turtles, Biological Invasions, 16, 1, (217), (2014).
    • , Progressing from data to information: Incorporating GIS into coral and fisheries management, Interrelationships Between Corals and Fisheries, 10.1201/b17159-14, (237-252), (2014).
    • , Deep-sea benthic megafaunal habitat suitability modelling: A global-scale maximum entropy model for xenophyophores, Deep Sea Research Part I: Oceanographic Research Papers, 94, (31), (2014).
    • , The Distributional Ecology of the Maned Sloth: Environmental Influences on Its Distribution and Gaps in Knowledge, PLoS ONE, 9, 10, (e110929), (2014).
    • , Spatial epidemiology of porcine reproductive and respiratory syndrome in Thailand, BMC Veterinary Research, 10, 1, (2014).
    • , Projecting future distribution of the seagrass Zostera noltii under global warming and sea level rise, Biological Conservation, 170, (74), (2014).
    • , An assessment of the efficiency of protection status through determinations of biodiversity hotspots based on endemic bird species, Taiwan, Journal for Nature Conservation, 10.1016/j.jnc.2014.08.012, 22, 6, (570-576), (2014).
    • , Predicting the Geographical Distribution of Two Invasive Termite Species From Occurrence Data, Environmental Entomology, 43, 5, (1135), (2014).
    • , Evaluating conservation effectiveness of nature reserves established for surrogate species: Case of a giant panda nature reserve in Qinling Mountains, China, Chinese Geographical Science, 24, 1, (60), (2014).
    • , Predictive habitat modelling of humpback (Megaptera novaeangliae) and Antarctic minke (Balaenoptera bonaerensis) whales in the Southern Ocean as a planning tool for seismic surveys, Deep Sea Research Part I: Oceanographic Research Papers, 91, (101), (2014).
    • , Functional homogenization of bumblebee communities in alpine landscapes under projected climate change, Climate Change Responses, 10.1186/s40665-014-0001-5, 1, 1, (2014).
    • , Statistical solutions for error and bias in global citizen science datasets, Biological Conservation, 173, (144), (2014).
    • , Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India, Computers and Electronics in Agriculture, 103, (55), (2014).
    • , Ecological niches of three abundant Caulerpa species in Port Phillip Bay, southeast Australia, Aquatic Botany, 10.1016/j.aquabot.2014.08.007, 119, (120-131), (2014).
    • , Nursery habitat availability limits adult stock sizes of predatory coastal fish, ICES Journal of Marine Science, 71, 3, (672), (2014).
    • , Identifying minimal sets of survey techniques for multi-species monitoring across landscapes: an approach utilising species distribution models, International Journal of Geographical Information Science, 28, 8, (1674), (2014).
    • , Modeling the effects of anthropogenic exploitation and climate change on an endemic stag beetle, Lucanus miwai (Lucanidae), of Taiwan, Journal of Asia-Pacific Entomology, 17, 3, (423), (2014).
    • , Combining multispecies home range and distribution models aids assessment of MPA effectiveness, Marine Ecology Progress Series, 513, (155), (2014).
    • , Hydraulic forces impact larval fish drift in the free flowing section of a large European river, Ecohydrology, 7, 2, (648-658), (2013).
    • , Modelling the potential distribution of the Bridled Skink,Trachylepis vittata(Olivier, 1804), in the Middle East, Zoology in the Middle East, 60, 3, (208), (2014).
    • , Predicted Deep-Sea Coral Habitat Suitability for the U.S. West Coast, PLoS ONE, 9, 4, (e93918), (2014).
    • , Projecting Invasion Risk of Non-Native Watersnakes (Nerodia fasciata and Nerodia sipedon) in the Western United States, PLoS ONE, 9, 6, (e100277), (2014).
    • , A Resolution to the Blue Whiting (Micromesistius poutassou) Population Paradox?, PLoS ONE, 9, 9, (e106237), (2014).
    • , Modeling meadow distribution for conservation action in arid and semi-arid Patagonia, Argentina, Journal of Arid Environments, 10.1016/j.jaridenv.2013.11.008, 102, (68-75), (2014).
    • , Future ant invasions in France, Environmental Conservation, 10.1017/S0376892913000556, 41, 02, (217-228), (2014).
    • , Spatial analysis facilitates invasive species risk assessment, Forest Ecology and Management, 315, (22), (2014).
    • , Diversity and Distribution of Deep-Sea Shrimps in the Ross Sea Region of Antarctica, PLoS ONE, 9, 7, (e103195), (2014).
    • , Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias, PLoS ONE, 9, 5, (e97122), (2014).
    • , Landscape scale species distribution modeling across the Guiana Shield to inform conservation decision making in Guyana, Biodiversity and Conservation, 23, 8, (1931), (2014).
    • , Demographic history and niche conservatism of tropical rainforest trees separated along an altitudinal gradient of a biogeographic barrier, Australian Journal of Botany, 62, 5, (438), (2014).
    • , Mapping the Global Distribution of Livestock, PLoS ONE, 9, 5, (e96084), (2014).
    • , Climatic suitability of Aedes albopictus in Europe referring to climate change projections: comparison of mechanistic and correlative niche modelling approaches, Eurosurveillance, 19, 6, (2014).
    • , A framework for assessing the vulnerability of species to climate change: a case study of the Australian elapid snakes, Biodiversity and Conservation, 23, 12, (3019), (2014).
    • , Modelling habitat use of Tetrao urogallus L. in Austria for conservation issues, Journal for Nature Conservation, 22, 3, (223), (2014).
    • , Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models, Deep Sea Research Part II: Topical Studies in Oceanography, 99, (6), (2014).
    • , Formulating conservation targets for a gap analysis of endemic lizards in a biodiversity hotspot, Biological Conservation, 180, (1), (2014).
    • , Testing the Potential for Predictive Modeling and Mapping and Extending Its Use as a Tool for Evaluating Management Scenarios and Economic Valuation in the Baltic Sea (PREHAB), AMBIO, 43, 1, (82), (2014).
    • , Cryptic genetic diversity and complex phylogeography of the boreal North American scorpion, Paruroctonus boreus (Vaejovidae), Molecular Phylogenetics and Evolution, 71, (298), (2014).
    • , Occupancy and habitat correlates of javelinas in the southern San Andres Mountains, New Mexico, Journal of Mammalogy, 95, 1, (1), (2014).
    • , Potential distribution of Tridentiger barbatus (Günther 1861) and Tridentiger nudicervicus (Tomiyama 1934) in the Seto Inland Sea, western Japan, Ichthyological Research, 61, 1, (83), (2014).
    • , A predictive modeling approach to test distributional uniformity of Uruguayan harvestmen (Arachnida: Opiliones), Zoological Studies, 10.1186/s40555-014-0050-2, 53, 1, (2014).
    • , Using macroclimatic models to estimate the distribution ranges of taxonomically challenging taxa, an example withMacromitrium cavalerieiCardot & Thér. (Orthotrichaceae), Journal of Bryology, 36, 4, (271), (2014).
    • , Combined Use of Systematic Conservation Planning, Species Distribution Modelling, and Connectivity Analysis Reveals Severe Conservation Gaps in a Megadiverse Country (Peru), PLoS ONE, 9, 12, (e114367), (2014).
    • , A novel downscaling approach to predict plant invasions and improve local conservation actions, Biological Invasions, 10.1007/s10530-014-0688-z, 16, 12, (2577-2590), (2014).
    • , Climate-induced shifts in the niche similarity of two related spadefoot toads (genus Pelobates), Organisms Diversity & Evolution, 14, 4, (397), (2014).
    • , Adapting to the impacts of global change on an artisanal coral reef fishery, Ecological Economics, 102, (118), (2014).
    • , Predicting species distributions in new areas or time periods with alpha-shapes, Ecological Informatics, 24, (231), (2014).
    • , A note on the effectiveness of incorporating management objectives with ecological variables when modeling red deer abundance, European Journal of Wildlife Research, 60, 3, (511), (2014).
    • , Prioritising plant-parasitic nematode species biosecurity risks using self organising maps, Biological Invasions, 16, 7, (1515), (2014).
    • , Agroforestry systems in a changing climate—challenges in projecting future performance, Current Opinion in Environmental Sustainability, 10.1016/j.cosust.2013.07.013, 6, (1-7), (2014).
    • , Virtual species distribution models, Progress in Physical Geography, 10.1177/0309133314521448, 38, 1, (117-128), (2014).
    • , Are Calanus spp. shifting poleward in the North Atlantic? A habitat modelling approach, ICES Journal of Marine Science, 10.1093/icesjms/fst147, 71, 2, (241-253), (2013).
    • , Rigor and transparency in statistical analyses can help to ensure valid research, Landscape Ecology, 10.1007/s10980-014-0063-6, 29, 7, (1115-1122), (2014).
    • , Linking spatially explicit species distribution and population models to plan for the persistence of plant species under global change, Environmental Conservation, 10.1017/S0376892913000453, 41, 02, (97-109), (2013).
    • , Regional climate model downscaling may improve the prediction of alien plant species distributions, Frontiers of Earth Science, 10.1007/s11707-014-0457-4, 8, 4, (457-471), (2014).
    • , Using global maps to predict the risk of dengue in Europe, Acta Tropica, 129, (1), (2014).
    • , Estimating the distribution of the imperiled pugnose shiner ( Notropis anogenus ) in the St. Lawrence River using a habitat model, Journal of Great Lakes Research, 40, 4, (980), (2014).
    • , Quantifying safe seed transfer distance and impacts of tree breeding on adaptation, Forest Ecology and Management, 328, (122), (2014).
    • , Habitat of the Vulnerable Formosan sambar deer Rusa unicolor swinhoii in Taiwan, Oryx, 48, 02, (232), (2014).
    • , How many predictors in species distribution models at the landscape scale? Land use versus LiDAR-derived canopy height, International Journal of Geographical Information Science, 28, 8, (1723), (2014).
    • , Evaluation of Bayesian networks for modelling habitat suitability and management of a protected area, Journal for Nature Conservation, 22, 3, (235), (2014).
    • , Using species distributions models for designing conservation strategies of Tropical Andean biodiversity under climate change, Journal for Nature Conservation, 22, 5, (391), (2014).
    • , The TRM Model of Potential Natural Vegetation in Mountain Forests, Folia Geobotanica, 10.1007/s12224-013-9158-0, 49, 3, (337-359), (2013).
    • , Response of epiphytic lichens to 21st Century climate change and tree disease scenarios, Biological Conservation, 180, (153), (2014).
    • , Nest-Site Selection Analysis of Hooded Crane (Grus monacha) in Northeastern China Based on a Multivariate Ensemble Model, Zoological Science, 31, 7, (430), (2014).
    • , Setting Favourable Habitat Reference Values for breeding birds: general principles and examples for passerine birds, Bird Conservation International, 24, 03, (263), (2014).
    • , Historical distribution of Sundaland’s Dipterocarp rainforests at Quaternary glacial maxima, Proceedings of the National Academy of Sciences, 10.1073/pnas.1403053111, 111, 47, (16790-16795), (2014).
    • , Using species distribution models to optimize vector control in the framework of the tsetse eradication campaign in Senegal, Proceedings of the National Academy of Sciences, 111, 28, (10149), (2014).
    • , Projection of red spruce (Picea rubens Sargent) habitat suitability and distribution in the Southern Appalachian Mountains, USA, Ecological Modelling, 293, (91), (2014).
    • , Concluding Remarks: What Do We Need To Know About Bats in Northwestern North America?, Northwestern Naturalist, 10.1898/95-3.1, 95, 3, (318-330), (2014).
    • , A stable niche assumption-free test of ecological divergence, Molecular Phylogenetics and Evolution, 76, (211), (2014).
    • , Modeling spatial distribution of European badger in arid landscapes: an ecosystem functioning approach, Landscape Ecology, 29, 5, (843), (2014).
    • , Assessing current and projected suitable habitats for tree-of-heaven along the Appalachian Trail, Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 1643, (20130192), (2014).
    • , Mapping the Geographical Distribution of Lymphatic Filariasis in Zambia, PLoS Neglected Tropical Diseases, 8, 2, (e2714), (2014).
    • , Evaluating Habitat Suitability for the Establishment of Monochamus spp. through Climate-Based Niche Modeling, PLoS ONE, 9, 7, (e102592), (2014).
    • , Defining Neotropical Otter Lontra Longicaudis Distribution, Conservation Priorities and Ecological Frontiers, Tropical Conservation Science, 7, 2, (214), (2014).
    • , An insight into machine-learning algorithms to model human-caused wildfire occurrence, Environmental Modelling & Software, 57, (192), (2014).
    • , Using Stochastic Gradient Boosting to Infer Stopover Habitat Selection and Distribution of Hooded Cranes Grus monacha during Spring Migration in Lindian, Northeast China, PLoS ONE, 9, 2, (e89913), (2014).
    • , Estimating Hantavirus Risk in Southern Argentina: A GIS-Based Approach Combining Human Cases and Host Distribution, Viruses, 6, 12, (201), (2014).
    • , Habitat preferences of two deep-diving cetacean species in the northern Ligurian Sea, Marine Ecology Progress Series, 508, (247), (2014).
    • , Global database of leishmaniasis occurrence locations, 1960–2012, Scientific Data, 1, (140036), (2014).
    • , Comparison of airborne lidar, aerial photography, and field surveys to model the habitat suitability of a cryptic forest species – the hazel grouse, International Journal of Remote Sensing, 10.1080/01431161.2014.955145, 35, 17, (6469-6489), (2014).
    • , Distribution and predictability of foraging areas in breeding Chatham albatrosses Thalassarche eremita in relation to environmental characteristics, Marine Ecology Progress Series, 10.3354/meps10624, 498, (287-301), (2014).
    • , Conservation priorities in the Southern Central Andes: mismatch between endemism and diversity hotspots in the regional flora, Biodiversity and Conservation, 23, 1, (81), (2014).
    • , Predictive mapping of coral reef fish species and communities, Interrelationships Between Corals and Fisheries, 10.1201/b17159-13, (219-236), (2014).
    • , Model-Based Selection of Areas for the Restoration of Acrocephalus paludicola Habitats in NE Germany, Environmental Management, 53, 4, (728), (2014).
    • , Assessing the potential suitability of forest stands as Kirengeshoma koreana habitat using MaxEnt, Landscape and Ecological Engineering, 10.1007/s11355-013-0246-3, 10, 2, (339-348), (2013).
    • , Identifying important micro-habitat characteristics of muskellunge spawning locations in the upper Niagara River, Journal of Great Lakes Research, 40, 2, (325), (2014).
    • , Environmental confirmation of multiple ice age refugia for Pacific cod, Gadus macrocephalus, Evolutionary Ecology, 28, 1, (177), (2014).
    • , Does urbanization have the potential to create an ecological trap for powerful owls (Ninox strenua)?, Biological Conservation, 10.1016/j.biocon.2014.04.013, 176, (1-11), (2014).
    • , Mapping Transmission Risk of Lassa Fever in West Africa: The Importance of Quality Control, Sampling Bias, and Error Weighting, PLoS ONE, 9, 8, (e100711), (2014).
    • , Hybridization rate and climate change: are endangered species at risk?, Journal of Insect Conservation, 18, 3, (295), (2014).
    • , The incorporation of extreme drought events improves models for beech persistence at its distribution limit, Annals of Forest Science, 71, 2, (201), (2014).
    • , Evidence for cryptic northern refugia in the last glacial period in Cryptomeria japonica, Annals of Botany, 10.1093/aob/mcu197, 114, 8, (1687-1700), (2014).
    • , Bayesian networks for habitat suitability modeling: a potential tool for conservation planning with scarce resources, Ecological Applications, 24, 7, (1705), (2014).
    • , Unveiling the Conservation Biogeography of a Data-Deficient Endangered Bird Species under Climate Change, PLoS ONE, 9, 1, (e84529), (2014).
    • , Controls on niche stability in geologic time: congruent responses to biotic and abiotic environmental changes among Cincinnatian (Late Ordovician) marine invertebrates, Paleobiology, 40, 01, (70), (2014).
    • , Distribution modelling of Eleonora’s Falcon Falco eleonorae Géné, 1839 occurrence in its wintering grounds: a niche-based approach with satellite telemetry data, Bird Conservation International, 24, 01, (100), (2014).
    • , Spatial filtering to reduce sampling bias can improve the performance of ecological niche models, Ecological Modelling, 10.1016/j.ecolmodel.2013.12.012, 275, (73-77), (2014).
    • , Global Assessment of Seasonal Potential Distribution of Mediterranean Fruit Fly, Ceratitis capitata (Diptera: Tephritidae), PLoS ONE, 9, 11, (e111582), (2014).
    • , Predicting the Geographic Distribution ofLucilia sericataandLucilia cuprina(Diptera: Calliphoridae) in South Africa, African Invertebrates, 55, 1, (157), (2014).
    • , Using species distribution models for IUCN Red Lists of threatened species, Journal of Insect Conservation, 18, 3, (427), (2014).
    • , Topo‐climatic microrefugia explain the persistence of a rare endemic plant in the Alps during the last 21 millennia, Global Change Biology, 20, 7, (2286-2300), (2014).
    • , Very high resolution environmental predictors in species distribution models, Progress in Physical Geography, 10.1177/0309133313512667, 38, 1, (79-96), (2013).
    • , Assessing Effects of Variation in Global Climate Data Sets on Spatial Predictions from Climate Envelope Models, Journal of Fish and Wildlife Management, 5, 1, (14), (2014).
    • , Predicting territory density of Dusky Orange-crowned WarblersOreothlypis celata sordidabreeding on Santa Catalina Island, California, Bird Study, 61, 4, (474), (2014).
    • , Global distribution maps of the leishmaniases, eLife, 3, (2014).
    • , Modeling habitat and bycatch risk for dugongs in Sabah, Malaysia, Endangered Species Research, 24, 3, (237), (2014).
    • , Maximum information entropy: a foundation for ecological theory, Trends in Ecology & Evolution, 10.1016/j.tree.2014.04.009, 29, 7, (384-389), (2014).
    • , Spatio-temporal epidemiology of highly pathogenic avian influenza (subtype H5N1) in poultry in eastern India, Spatial and Spatio-temporal Epidemiology, 11, (45), (2014).
    • , Modelling distribution of habitats required for different uses by the same species: Implications for conservation at the regional scale, Biological Conservation, 174, (39), (2014).
    • , Pattern recognition in long-term Sooty Shearwater data: applying machine learning to create a harvest index, Ecological Applications, 24, 8, (2107), (2014).
    • , Evaluating the role of fronts in habitat overlaps between cold and warm water species in the western North Pacific: A proof of concept, Deep Sea Research Part II: Topical Studies in Oceanography, 107, (29), (2014).
    • , The global distribution and transmission limits of lymphatic filariasis: past and present, Parasites & Vectors, 7, 1, (2014).
    • , Using Potential Distribution Models for Patterns of Species Richness, Endemism, and Phytogeography of Palm Species in Bolivia, Tropical Conservation Science, 7, 1, (45), (2014).
    • , Endemic wild potato (Solanum spp.) biodiversity status in Bolivia: Reasons for conservation concerns, Journal for Nature Conservation, 22, 2, (113), (2014).
    • , Predicting the potential distribution of invasive silver carpHypophthalmichthys molitrixin South Africa, African Journal of Aquatic Science, 39, 2, (157), (2014).
    • , Spatial conservation planning framework for assessing conservation opportunities in the Atlantic Forest of Brazil, Applied Geography, 10.1016/j.apgeog.2014.06.013, 53, (369-376), (2014).
    • , Multiple hybridization events, polyploidy and low postmating isolation entangle the evolution of neotropical species of Epidendrum (Orchidaceae), BMC Evolutionary Biology, 14, 1, (20), (2014).
    • , Does climate limit species richness by limiting individual species' ranges?, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2013.2695, 281, 1776, (20132695-20132695), (2013).
    • , Ecological niche modeling for predicting the potential risk areas of severe fever with thrombocytopenia syndrome, International Journal of Infectious Diseases, 26, (1), (2014).
    • , Mapping Current and Potential Distribution of Non-Native Prosopis juliflora in the Afar Region of Ethiopia, PLoS ONE, 9, 11, (e112854), (2014).
    • , Large-scale risk mapping of an eruptive bark beetle – Importance of forest susceptibility and beetle pressure, Forest Ecology and Management, 10.1016/j.foreco.2014.01.025, 318, (158-166), (2014).
    • , Improving the assessment and reporting on rare and endangered species through species distribution models, Global Ecology and Conservation, 10.1016/j.gecco.2014.09.011, 2, (226-237), (2014).
    • , Cross-Scale Assessment of Potential Habitat Shifts in a Rapidly Changing Climate, Invasive Plant Science and Management, 7, 03, (491), (2014).
    • , Molecular data and ecological niche modeling reveal population dynamics of widespread shrub Forsythia suspensa (Oleaceae) in China’s warm-temperate zone in response to climate change during the Pleistocene, BMC Evolutionary Biology, 10.1186/1471-2148-14-114, 14, 1, (114), (2014).
    • , Assessing potential effects of land use and climate change on mammal distributions in northern Thailand, Wildlife Research, 10.1071/WR14171, 41, 6, (522), (2014).
    • , Potential, realised, future distribution and environmental suitability for Pterocarpus angolensis DC in southern Africa, Forest Ecology and Management, 315, (211), (2014).
    • , Scale dependence in habitat selection: the case of the endangered brown bear (Ursus arctos) in the Cantabrian Range (NW Spain), International Journal of Geographical Information Science, 28, 8, (1531), (2014).
    • , Mapping the Global Potential Geographical Distribution of Black Locust (Robinia Pseudoacacia L.) Using Herbarium Data and a Maximum Entropy Model, Forests, 5, 12, (2773), (2014).
    • , An evaluation of compiled single-beam bathymetry data as a basis for regional sediment and biotope mapping, ICES Journal of Marine Science, 71, 4, (867), (2014).
    • , Change and Evolution in the Plant Hardiness Zones of Canada, BioScience, 10.1093/biosci/biu016, 64, 4, (341-350), (2014).
    • , Comparing the suitability of classified land cover data and remote sensing variables for modeling distribution patterns of plants, Ecological Modelling, 272, (129), (2014).
    • , Evolutionary History of Wild Barley (Hordeum vulgare subsp. spontaneum) Analyzed Using Multilocus Sequence Data and Paleodistribution Modeling, Genome Biology and Evolution, 6, 3, (685), (2014).
    • , Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts, Ecological Indicators, 38, (72), (2014).
    • , The relationships between land cover, climate and cave copepod spatial distribution and suitability along the Carpathians, Environmental Conservation, 10.1017/S0376892913000465, 41, 02, (206-216), (2013).
    • , Making better Maxent models of species distributions: complexity, overfitting and evaluation, Journal of Biogeography, 41, 4, (629-643), (2013).
    • , Conservation Interests of Applying Spatial Distribution Modelling to Large Vagile Neotropical Mammals, Tropical Conservation Science, 7, 2, (192), (2014).
    • , A New Accuracy Assessment Method for One-Class Remote Sensing Classification, IEEE Transactions on Geoscience and Remote Sensing, 52, 8, (4621), (2014).
    • , Using species distribution models to inform IUCN Red List assessments, Biological Conservation, 177, (174), (2014).
    • , Predicting the occurrence of rocky reefs in a heterogeneous archipelago area with limited data, Estuarine, Coastal and Shelf Science, 138, (90), (2014).
    • , Global warming favours light-coloured insects in Europe, Nature Communications, 5, (2014).
    • , Prioritizing global marine mammal habitats using density maps in place of range maps, Ecography, 37, 3, (212-220), (2013).
    • , What Story Does Geographic Separation of Insular Bats Tell? A Case Study on Sardinian Rhinolophids, PLoS ONE, 9, 10, (e110894), (2014).
    • , Geographic and seasonal distribution of a little-known Brazilian endemic rail (Aramides mangle) inferred from ocurrence records and ecological niche modeling, The Wilson Journal of Ornithology, 126, 4, (663), (2014).
    • , Transferability of geomorphological distribution models: Evaluation using solifluction features in subarctic and Arctic regions, Geomorphology, 10.1016/j.geomorph.2013.08.002, 204, (165-176), (2014).
    • , Where the bears roam in Majella National Park, Italy, Journal for Nature Conservation, 22, 1, (23), (2014).
    • , Interpolation of Mexican soil properties at a scale of 1:1,000,000, Geoderma, 213, (29), (2014).
    • , Climatic Niche Conservatism and Biogeographical Non-Equilibrium in Eschscholzia californica (Papaveraceae), an Invasive Plant in the Chilean Mediterranean Region, PLoS ONE, 9, 8, (e105025), (2014).
    • , Modelling potential presence of metazoan endoparasites of bobcats (Lynx rufus) using verified records, Folia Parasitologica, 10.14411/fp.2014.062, 61, 5, (401-410), (2014).
    • , Predicting threat of climate change to the Chinese grouse on the Qinghai—Tibet plateau, Wildlife Biology, 20, 2, (73), (2014).
    • , The Impact of Sampling Method on Maximum Entropy Species Distribution Modeling for Bats, Acta Chiropterologica, 16, 1, (241), (2014).
    • , Ain’t no mountain high enough, ain’t no valley low enough? Phylogeography of the rupicolous Cape girdled lizard (Cordylus cordylus) reveals a generalist pattern, Molecular Phylogenetics and Evolution, 10.1016/j.ympev.2013.10.015, 71, (234-248), (2014).
    • , Molecular and ecological signs of mitochondrial adaptation: consequences for introgression?, Heredity, 113, 4, (277), (2014).
    • , Predicted areas of potential distributions of alpine wetlands under different scenarios in the Qinghai-Tibetan Plateau, China, Global and Planetary Change, 123, (77), (2014).
    • , High-resolution ecological niche modelling of the cold-water coral Lophelia pertusa in the Gulf of Mexico, Marine Ecology Progress Series, 506, (145), (2014).
    • , Spatially explicit perceptions of ecosystem services and land cover change in forested regions of Borneo, Ecosystem Services, 7, (116), (2014).
    • , The speciation history and systematics of Carthamus (Asteraceae) with special emphasis on Turkish species by integrating phylogenetic and Ecological Niche Modelling data, Plant Systematics and Evolution, 300, 6, (1349), (2014).
    • , Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP, Ecological Informatics, 10.1016/j.ecoinf.2014.04.002, 22, (36-43), (2014).
    • , Understanding the patchy distribution of four-horned antelope Tetracerus quadricornis in a tropical dry deciduous forest in Central India, Journal of Tropical Ecology, 30, 01, (45), (2014).
    • , The use of species distribution models to predict the spatial distribution of deforestation in the western Brazilian Amazon, Ecological Modelling, 291, (250), (2014).
    • , Effect of a Geographic Barrier on Adaptation in the Dwarf Sunflower (Helianthus pumilusNutt.), International Journal of Plant Sciences, 175, 6, (688), (2014).
    • , Seasonal trends in horizontal and vertical patterns of zoopsammon in the brackish Baltic Sea in relation to key environmental variables, Proceedings of the Biological Society of Washington, 127, 1, (58), (2014).
    • , Fine-grain modeling of species’ response to climate change: holdouts, stepping-stones, and microrefugia, Trends in Ecology & Evolution, 10.1016/j.tree.2014.04.006, 29, 7, (390-397), (2014).
    • , Improving the surrogacy effectiveness of charismatic megafauna with well‐surveyed taxonomic groups and habitat types, Journal of Applied Ecology, 51, 2, (281-288), (2014).
    • , Response to Kriticos et al., NeoBiota, 23, (95), (2014).
    • , Infusing considerations of trophic dependencies into species distribution modelling, Ecology Letters, 17, 12, (1507-1517), (2014).
    • , Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions, Diversity and Distributions, 20, 7, (797-812), (2014).
    • , Climate niche modeling in the perennial Glycine (Leguminosae) allopolyploid complex, American Journal of Botany, 101, 4, (710-721), (2014).
    • , Obtaining the best possible predictions of habitat selection for wintering Great Bustards in Cangzhou, Hebei Province with rapid machine learning analysis, Chinese Science Bulletin, 59, 32, (4323), (2014).
    • , The relative influence of temperature, moisture and their interaction on range limits of mammals over the past century, Global Ecology and Biogeography, 22, 3, (334-343), (2012).
    • , Evaluation of species distribution models by resampling of sites surveyed a century ago by Joseph Grinnell, Ecography, 36, 9, (1017-1031), (2013).
    • , How to assess the prediction accuracy of species presence–absence models without absence data?, Ecography, 36, 7, (788-799), (2013).
    • , Wildlife habitat connectivity in the changing climate of New York's Hudson Valley, Annals of the New York Academy of Sciences, 1298, 1, (103-119), (2013).
    • , Underestimated ranges and overlooked refuges from amphibian chytridiomycosis, Diversity and Distributions, 19, 10, (1313-1321), (2013).
    • , New measures for assessing model equilibrium and prediction mismatch in species distribution models, Diversity and Distributions, 19, 10, (1333-1338), (2013).
    • , Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change, Ecography, 36, 9, (971-983), (2013).
    • , Tools for integrating range change, extinction risk and climate change information into conservation management, Ecography, 36, 9, (956-964), (2013).
    • , Selecting thresholds for the prediction of species occurrence with presence‐only data, Journal of Biogeography, 40, 4, (778-789), (2013).
    • , A framework for using niche models to estimate impacts of climate change on species distributions, Annals of the New York Academy of Sciences, 1297, 1, (8-28), (2013).
    • , Model systems for a no‐analog future: species associations and climates during the last deglaciation, Annals of the New York Academy of Sciences, 1297, 1, (29-43), (2013).
    • , Collinearity: a review of methods to deal with it and a simulation study evaluating their performance, Ecography, 36, 1, (27-46), (2012).
    • , Improving our understanding of environmental controls on the distribution of C3 and C4 grasses, Global Change Biology, 19, 1, (184-196), (2012).
    • , A qualitative ecological risk assessment of the invasive Nile tilapia, Oreochromis niloticus in a sub‐tropical African river system (Limpopo River, South Africa), Aquatic Conservation: Marine and Freshwater Ecosystems, 23, 1, (51-64), (2012).
    • , Pliocene intraspecific divergence and Plio‐Pleistocene range expansions within Picea likiangensis (Lijiang spruce), a dominant forest tree of the Qinghai‐Tibet Plateau, Molecular Ecology, 22, 20, (5237-5255), (2013).
    • , Testing the predictive performance of distribution models, Oikos, 122, 3, (321-331), (2012).
    • , Conservation of phylogeographic lineages under climate change, Global Ecology and Biogeography, 22, 1, (93-104), (2012).
    • , Presence‐only modelling using MAXENT: when can we trust the inferences?, Methods in Ecology and Evolution, 4, 3, (236-243), (2012).
    • , Downscaling of species distribution models: 
a hierarchical approach, Methods in Ecology and Evolution, 4, 1, (82-94), (2012).
    • , Analysing and mapping species range dynamics using occupancy models, Journal of Biogeography, 40, 8, (1463-1474), (2013).
    • , Evaluating ecological‐niche factor analysis as a modelling tool for environmental weed management in island systems, Weed Research, 53, 3, (221-230), (2013).
    • , Future habitat suitability for coral reef ecosystems under global warming and ocean acidification, Global Change Biology, 19, 12, (3592-3606), (2013).
    • , Origin and fate of the single‐island endemic moss Orthotrichum handiense, Journal of Biogeography, 40, 5, (857-868), (2012).
    • , River islands, refugia and genetic structuring in the endemic brown frog ana kukunoris (Anura, Ranidae) of the Qinghai‐Tibetan Plateau, Molecular Ecology, 22, 1, (130-142), (2012).
    • , How does selection of climate variables affect predictions of species distributions? A case study of three new weeds in New Zealand, Weed Research, 53, 4, (259-268), (2013).
    • , Extinction risk in cloud forest fragments under climate change and habitat loss, Diversity and Distributions, 19, 5-6, (518-529), (2013).
    • , Improving decisions for invasive species management: reformulation and extensions of the Panetta–Lawes eradication graph, Diversity and Distributions, 19, 5-6, (603-607), (2013).
    • , Priority setting for invasive species management: risk assessment of Ponto‐Caspian invasive species into Great Britain, Ecological Applications, 23, 2, (352-364), (2013).
    • , Modeling ecological minimum requirements for distribution of greater sage‐grouse leks: implications for population connectivity across their western range, U.S.A, Ecology and Evolution, 3, 6, (1539-1551), (2013).
    • , Predicting the impacts of climate change on the distribution of threatened forest‐restricted birds in Madagascar, Ecology and Evolution, 3, 4, (763-769), (2013).
    • , Predicting the distribution of a novel bark beetle and its pine hosts under future climate conditions, Agricultural and Forest Entomology, 15, 2, (212-226), (2013).
    • , Effects of sea‐level rise on northern elephant seal breeding habitat at Point Reyes Peninsula, California, Aquatic Conservation: Marine and Freshwater Ecosystems, 23, 2, (233-245), (2012).
    • , Applying occupancy estimation and modelling to the analysis of atlas data, Diversity and Distributions, 19, 7, (804-814), (2013).
    • , Evaluating the effectiveness of conservation site networks under climate change: accounting for uncertainty, Global Change Biology, 19, 4, (1236-1248), (2013).
    • , From southern refugia to the northern range margin: genetic population structure of the common wall lizard, Podarcis muralis, Journal of Biogeography, 40, 8, (1475-1489), (2013).
    • , Using biogeographical history to inform conservation: the case of Preble's meadow jumping mouse, Molecular Ecology, 22, 24, (6000-6017), (2013).
    • , Phylogeography of the Arizona hairy scorpion (adrurus arizonensis) supports a model of biotic assembly in the Mojave Desert and adds a new Pleistocene refugium, Journal of Biogeography, 40, 7, (1298-1312), (2013).
    • , Evaluating eutrophication management scenarios in the Baltic Sea using species distribution modelling, Journal of Applied Ecology, 50, 3, (680-690), (2013).
    • , Extent and fragmentation of suitable leopard habitat in South Africa, Animal Conservation, 16, 1, (41-50), (2012).
    • , The impact of modelling choices in the predictive performance of richness maps derived from species‐distribution models: guidelines to build better diversity models, Methods in Ecology and Evolution, 4, 4, (327-335), (2013).
    • , Multi‐species distribution modelling highlights the Adelaide Geosyncline, South Australia, as an important continental‐scale arid‐zone refugium, Austral Ecology, 38, 4, (427-435), (2012).
    • , From exploitation to conservation: habitat models using whaling data predict distribution patterns and threat exposure of an endangered whale, Diversity and Distributions, 19, 9, (1138-1152), (2013).
    • , Improved spatial estimates of climate predict patchier species distributions, Diversity and Distributions, 19, 9, (1106-1113), (2013).
    • , Using plant distributions to predict the current and future range of a rare lizard, Diversity and Distributions, 19, 9, (1125-1137), (2013).
    • , Improving the prediction of plant species distribution and community composition by adding edaphic to topo‐climatic variables, Journal of Vegetation Science, 24, 4, (593-606), (2012).
    • , Evaluating the effectiveness of a Safe Harbor Program for connecting wildlife populations, Animal Conservation, 16, 6, (610-620), (2013).
    • , The point process use‐availability or presence‐only likelihood and comments on analysis, Journal of Animal Ecology, 82, 6, (1174-1182), (2013).
    • , Advancing our thinking in presence‐only and used‐available analysis, Journal of Animal Ecology, 82, 6, (1125-1134), (2013).
    • , Evaluating forest refugial models using species distribution models, model filling and inclusion: a case study with 14 Brazilian species, Diversity and Distributions, 19, 3, (330-340), (2012).
    • , Comparing mechanistic and empirical model projections of crop suitability and productivity: implications for ecological forecasting, Global Ecology and Biogeography, 22, 8, (1007-1018), (2013).
    • , Stochastic species distributions are driven by organism size, Ecology, 94, 3, (660-670), (2013).
    • , Horizontal, but not vertical, biotic interactions affect fine‐scale plant distribution patterns in a low‐energy system, Ecology, 94, 3, (671-682), (2013).
    • , Advances in tracking small migratory birds: a technical review of light‐level geolocation, Journal of Field Ornithology, 84, 2, (121-137), (2013).
    • , ECOLOGICAL CAUSES OF DECELERATING DIVERSIFICATION IN CARNIVORAN MAMMALS, Evolution, 67, 8, (2423-2433), (2013).
    • , Continental shelf as potential retreat areas for Austral‐Asian estrildid finches (Passeriformes: Estrildidae) during the Pleistocene, Journal of Avian Biology, 44, 2, (121-132), (2012).
    • , Using bird species community occurrence to prioritize forests for old growth restoration, Ecography, 36, 4, (499-507), (2012).
    • , Community‐level vs species‐specific approaches to model selection, Ecography, 36, 12, (1291-1298), (2013).
    • , Evaluating multiple causes of amphibian declines of Ecuador using geographical quantitative analyses, Ecography, 36, 7, (756-769), (2013).
    • , Do ecological differences between taxonomic groups influence the relationship between species’ distributions and climate? A global meta‐analysis using species distribution models, Ecography, 36, 6, (657-664), (2012).
    • , Geomorphological disturbance is necessary for predicting fine‐scale species distributions, Ecography, 36, 7, (800-808), (2013).
    • , The elephant in the room: the role of failed invasions in understanding invasion biology, Oikos, 122, 6, (801-815), (2013).
    • , Bergmann's rule across the equator: a case study in erdocyon thous (Canidae), Journal of Animal Ecology, 82, 5, (997-1008), (2013).
    • , Niche conservatism and the potential for the crayfish rocambarus clarkii to invade South America, Freshwater Biology, 58, 7, (1379-1391), (2013).
    • , Climate envelope models suggest spatio‐temporal co‐occurrence of refugia of African birds and mammals, Global Ecology and Biogeography, 22, 3, (351-363), (2013).
    • , The ice age ecologist: testing methods for reserve prioritization during the last global warming, Global Ecology and Biogeography, 22, 3, (289-301), (2012).
    • , Spatial regression methods capture prediction uncertainty in species distribution model projections through time, Global Ecology and Biogeography, 22, 2, (242-251), (2012).
    • , On estimating probability of presence from use–availability or presence–background data, Ecology, 94, 6, (1409-1419), (2013).
    • , Indiana bat summer maternity distribution: effects of current and future climates, Ecology and Evolution, 3, 1, (103-114), (2013).
    • , MaxEnt versus MaxLike: empirical comparisons with ant species distributions, Ecosphere, 4, 5, (1-15), (2013).
    • , Systematic literature review on the geographic distribution of rift valley fever vectors in Europe and the neighbouring countries of the Mediterranean Basin, EFSA Supporting Publications, 10, 4, (2013).
    • , Modeling plant species distributions under future climates: how fine scale do climate projections need to be?, Global Change Biology, 19, 2, (473-483), (2012).
    • , Invasion of Old World hragmites australis in the New World: precipitation and temperature patterns combined with human influences redesign the invasive niche, Global Change Biology, 19, 11, (3406-3422), (2013).
    • , Combining palaeodistribution modelling and phylogeographical approaches for identifying glacial refugia in Alpine Primula, Journal of Biogeography, 40, 10, (1947-1960), (2013).
    • , The neotropical shrub upinus elegans, from temperate forests, may not adapt to climate change, Plant Biology, 15, 3, (607-610), (2013).
    • , Informing conservation units: barriers to dispersal for the yellow anaconda, Diversity and Distributions, 19, 9, (1164-1174), (2013).
    • , Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology, Biometrics, 69, 1, (274-281), (2013).
    • , Ontogenetic changes in the body temperature of an insect herbivore, Functional Ecology, 27, 6, (1322-1331), (2013).
    • , Use of predictive habitat modelling to assess the distribution and extent of the current protection of ‘listed’ deep‐sea habitats, Diversity and Distributions, 19, 4, (433-445), (2012).
    • , Suitability, success and sinks: how do predictions of nesting distributions relate to fitness parameters in high arctic waders?, Diversity and Distributions, 19, 12, (1496-1505), (2013).
    • , The importance of correcting for sampling bias in MaxEnt species distribution models, Diversity and Distributions, 19, 11, (1366-1379), (2013).
    • , Potential risk map for avian influenza A virus invading Japan, Diversity and Distributions, 19, 1, (78-85), (2012).
    • , Testing instead of assuming the importance of land use change scenarios to model species distributions under climate change, Global Ecology and Biogeography, 22, 11, (1204-1216), (2013).
    • , Testing species distribution models across space and time: high latitude butterflies and recent warming, Global Ecology and Biogeography, 22, 12, (1293-1303), (2013).
    • , Essential elements of discourse for advancing the modelling of species' current and potential distributions, Journal of Biogeography, 40, 3, (608-611), (2013).
    • , Influence of late Quaternary climate change on present patterns of genetic variation in valley oak, uercus lobata Née, Molecular Ecology, 22, 13, (3598-3612), (2013).
    • , The effects of the Late Quaternary glacial–interglacial cycles on Anatolian ground squirrels: range expansion during the glacial periods?, Biological Journal of the Linnean Society, 109, 1, (19-32), (2013).
    • , Phylogeographic diversification of antelope squirrels (mmospermophilus) across North American deserts, Biological Journal of the Linnean Society, 109, 4, (949-967), (2013).
    • , Nondetection sampling bias in marked presence‐only data, Ecology and Evolution, 3, 16, (5225-5236), (2013).
    • , Climate change impact on seaweed meadow distribution in the North Atlantic rocky intertidal, Ecology and Evolution, 3, 5, (1356-1373), (2013).
    • , Process‐based and correlative modeling of desert mistletoe distribution: a multiscalar approach, Ecosphere, 4, 8, (1-23), (2013).
    • , Alternative biological assumptions strongly influence models of climate change effects on mountain gorillas, Ecosphere, 4, 9, (1-17), (2013).
    • , Probabilistic accounting of uncertainty in forecasts of species distributions under climate change, Global Change Biology, 19, 11, (3343-3354), (2013).
    • , Geographical variability in propagule pressure and climatic suitability explain the European distribution of two highly invasive crayfish, Journal of Biogeography, 40, 3, (548-558), (2012).
    • , Invasion ratcheting in the zebra mussel (reissena polymorpha) and the ability of native and invaded ranges to predict its global distribution, Journal of Biogeography, 40, 12, (2274-2284), (2013).
    • , Using the palaeontological record of Microtus to test species distribution models and reveal responses to climate change, Journal of Biogeography, 40, 8, (1490-1500), (2013).
    • , High‐resolution habitat suitability modelling can improve conservation of vulnerable marine ecosystems in the deep sea, Journal of Biogeography, 40, 9, (1702-1714), (2013).
    • , Glacial expansion and diversification of an East Asian montane bird, the green‐backed tit (Parus monticolus), Journal of Biogeography, 40, 6, (1156-1169), (2012).
    • , Past and future demographic dynamics of alpine species: limited genetic consequences despite dramatic range contraction in a plant from the Spanish Sierra Nevada, Molecular Ecology, 22, 16, (4177-4195), (2013).
    • , Ecological divergence and speciation between lemur (Eulemur) sister species in Madagascar, Journal of Evolutionary Biology, 26, 8, (1790-1801), (2013).
    • , Does functional type vulnerability to multiple threats depend on spatial context in Mediterranean‐climate regions?, Diversity and Distributions, 19, 10, (1263-1274), (2013).
    • , GEOMORPHOLOGY AND FLOODING SHAPE FISH DISTRIBUTION IN A LARGE‐SCALE TEMPERATE FLOODPLAIN, River Research and Applications, 29, 10, (1226-1236), (2012).
    • , Predicting Ellenberg's soil moisture indicator value in the Bavarian Alps using additive georegression, Applied Vegetation Science, 16, 1, (110-121), (2012).
    • , Applying various algorithms for species distribution modelling, Integrative Zoology, 8, 2, (124-135), (2013).
    • , Characterizing uncertainty in species distribution models derived from interpolated weather station data, Ecosphere, 4, 5, (1-17), (2013).
    • , Location‐only and use‐availability data: analysis methods converge, Journal of Animal Ecology, 82, 6, (1120-1124), (2013).
    • , Recipient of the 2012 Molecular Ecology Prize: Craig Moritz, Molecular Ecology, 22, 1, (15-18), (2012).
    • , Increase in Quantity and Quality of Suitable Areas for Invasive Species as Climate Changes, Conservation Biology, 27, 6, (1458-1467), (2013).
    • , Fistularia commersonii in the Mediterranean Sea: invasion history and distribution modeling based on presence-only records, Biological Invasions, 15, 5, (977), (2013).
    • , Modelling distribution and potential overlap between Boreal Owl Aegolius funereus and Black Woodpecker Dryocopus martius: implications for management and monitoring plans, Bird Conservation International, 23, 04, (502), (2013).
    • , Using Seabird Habitat Modeling to Inform Marine Spatial Planning in Central California’s National Marine Sanctuaries, PLoS ONE, 8, 8, (e71406), (2013).
    • , The use of spatial ecological modelling as a tool for improving the assessment of geographic range size of threatened species, Journal for Nature Conservation, 21, 1, (48), (2013).
    • , Ecological niche modeling of the invasive potential of Nile tilapia Oreochromis niloticus in African river systems: concerns and implications for the conservation of indigenous congenerics, Biological Invasions, 15, 7, (1507), (2013).
    • , Human settlement evaluation in mountain areas based on remote sensing, GIS and ecological niche modeling, Journal of Mountain Science, 10, 3, (378), (2013).
    • , The complex history of the olive tree: from Late Quaternary diversification of Mediterranean lineages to primary domestication in the northern Levant, Proceedings of the Royal Society B: Biological Sciences, 280, 1756, (20122833), (2013).
    • , Design of an agent-based model to examine population–environment interactions in Nang Rong District, Thailand, Applied Geography, 39, (183), (2013).
    • , The African wintering distribution and ecology of the Corncrake Crex crex, Bird Conservation International, 10.1017/S0959270912000159, 23, 03, (309-322), (2012).
    • , An ensemble analysis to predict future habitats of striped marlin (Kajikia audax) in the North Pacific Ocean, ICES Journal of Marine Science, 70, 5, (1013), (2013).
    • , Maxent modeling of ancient and modern agricultural terraces in the Troodos foothills, Cyprus, Applied Geography, 39, (46), (2013).
    • , Integrating Landscape Disturbance and Indicator Species in Conservation Studies, PLoS ONE, 8, 5, (e63294), (2013).
    • , Predicting and Mapping the Potential Distribution of the Painted Devil Crayfish,Cambarus ludovicianusFaxon (Decapoda: Cambaridae), The Southwestern Naturalist, 58, 4, (435), (2013).
    • , The grass may not always be greener: projected reductions in climatic suitability for exotic grasses under future climates in Australia, Biological Invasions, 10.1007/s10530-012-0342-6, 15, 5, (961-975), (2012).
    • , Distribution ofLyncodon patagonicus(Carnivora, Mustelidae): changes from the Last Glacial Maximum to the present, Journal of Mammalogy, 94, 2, (339), (2013).
    • , Indicator values (IndVal) mimic ranking byF-ratio in real-world vegetation data, Community Ecology, 14, 2, (139), (2013).
    • , Potential geographical distribution of the red palm mite in South America, Experimental and Applied Acarology, 60, 3, (343), (2013).
    • , Suitability indices and habitat suitability index model of Caspian kutum (Rutilus frisii kutum) in the southern Caspian Sea, Aquatic Ecology, 47, 4, (441), (2013).
    • , Use of Anecdotal Occurrence Data in Species Distribution Models: An Example Based on the White-Nosed Coati (Nasua narica) in the American Southwest, Animals, 3, 4, (327), (2013).
    • , The Impact of Climate Change on the Potential Distribution of Agricultural Pests: The Case of the Coffee White Stem Borer (Monochamus leuconotus P.) in Zimbabwe, PLoS ONE, 8, 8, (e73432), (2013).
    • , Ecological Niche Modeling and Land Cover Risk Areas for Rift Valley Fever Vector, Culex tritaeniorhynchus Giles in Jazan, Saudi Arabia, PLoS ONE, 8, 6, (e65786), (2013).
    • , The conflict between agricultural expansion and priority conservation areas: Making the right decisions before it is too late, Biological Conservation, 159, (507), (2013).
    • , Climate change facilitated range expansion of the non-native angular crab Goneplax rhomboides into the North Sea, Marine Ecology Progress Series, 10.3354/meps10299, 484, (143-153), (2013).
    • , Impact of Scale and Quality of Digital Terrain Models on Predictability of Seabed Terrain Types, Marine Geodesy, 36, 1, (2), (2013).
    • , How robust are global conservation priorities to climate change?, Global Environmental Change, 10.1016/j.gloenvcha.2013.07.016, 23, 5, (1277-1284), (2013).
    • , Capture mechanism in Palaeotropical pitcher plants (Nepenthaceae) is constrained by climate, Annals of Botany, 112, 7, (1279), (2013).
    • , An analysis of displacement from wind turbines in a wintering grassland bird community, Biodiversity and Conservation, 22, 8, (1755), (2013).
    • , Species Distribution Models of Freshwater Stream Fishes in Maryland and Their Implications for Management, Environmental Modeling & Assessment, 18, 1, (1), (2013).
    • , The global distribution and burden of dengue, Nature, 496, 7446, (504), (2013).
    • , Spatial model of livestock predation by jaguar and puma in Mexico: Conservation planning, Biological Conservation, 159, (80), (2013).
    • , Will climate change drive alien invasive plants into areas of high protection value? An improved model-based regional assessment to prioritise the management of invasions, Journal of Environmental Management, 131, (185), (2013).
    • , Potential distribution of vulnerableEntandrophragma angolense(Welw.) C. DC. (Meliaceae) in East Africa, African Journal of Ecology, 51, 3, (471), (2013).
    • , Empirical modelling of benthic species distribution, abundance, and diversity in the Baltic Sea: evaluating the scope for predictive mapping using different modelling approaches, ICES Journal of Marine Science, 70, 6, (1233), (2013).
    • , Identification of areas of endemism from species distribution models: threshold selection and Nearctic mammals, TIP, 16, 1, (5), (2013).
    • , Investigating climate change vulnerability and planning for adaptation: Learning from a study of climate change impacts on the Mountain Gorilla in the Albertine Rift, Natural Science, 05, 05, (10), (2013).
    • , Global Climate Change Adaptation Priorities for Biodiversity and Food Security, PLoS ONE, 8, 8, (e72590), (2013).
    • , Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management, International Journal of Wildland Fire, 10.1071/WF12027, 22, 4, (469), (2013).
    • , Multiple Glacial Refugia of the Low-Dispersal Ground Beetle Carabus irregularis: Molecular Data Support Predictions of Species Distribution Models, PLoS ONE, 8, 4, (e61185), (2013).
    • , Using high-resolution remote sensing data for habitat suitability models of Bromeliaceae in the city of Mérida, Venezuela, Landscape and Urban Planning, 120, (107), (2013).
    • , Bioclimatic Extremes Drive Forest Mortality in Southwest, Western Australia, Climate, 1, 3, (28), (2013).
    • , Invasive African clawed frogXenopus laevisin southern South America: key factors and predictions, Studies on Neotropical Fauna and Environment, 48, 1, (1), (2013).
    • , An introduction toOplismenus undulatifolius(Ard.) Roem. & Schult. (wavyleaf basketgrass), a recent invader in Mid-Atlantic forest understories1,2, The Journal of the Torrey Botanical Society, 140, 4, (391), (2013).
    • , Presence—absence versus invasive status data for modelling potential distribution of invasive plants: Saltcedar in Argentina , Écoscience, 10.2980/20-2-3571, 20, 2, (161-171), (2015).
    • , Conservation Assessments of Arboreal Mammals in Difficult Terrain: Occupancy Modeling of Pileated Gibbons (Hylobates pileatus), International Journal of Primatology, 10.1007/s10764-013-9688-6, 34, 4, (823-835), (2013).
    • , Distribution of the Eastern knapweed fritillary (Melitaea ornata Christoph, 1893) (Lepidoptera: Nymphalidae): past, present and future, Journal of Insect Conservation, 17, 2, (245), (2013).
    • , Evidence of a climatic niche shift following North American introductions of two crane flies (Diptera; genus Tipula), Biological Invasions, 15, 4, (885), (2013).
    • , Effects of Dispersal-Related Factors on Species Distribution Model Accuracy for Boreal Lake Ecosystems, Diversity, 5, 4, (393), (2013).
    • , Modelling the past and future distribution of contracting species. The Iberian lizard Podarcis carbonelli (Squamata: Lacertidae) as a case study, Zoologischer Anzeiger - A Journal of Comparative Zoology, 252, 3, (289), (2013).
    • , Using Maxent to model the historic distributions of stonefly species in Illinois streams: The effects of regularization and threshold selections, Ecological Modelling, 259, (30), (2013).
    • , Invasions of the Portuguese millipede, Ommatoiulus moreleti, in southern Australia, Pedobiologia, 56, 4-6, (213), (2013).
    • , Modelling potential habitats for Artemisia sieberi and Artemisia aucheri in Poshtkouh area, central Iran using the maximum entropy model and geostatistics, Ecological Informatics, 18, (61), (2013).
    • , Converting conventional ecological datasets in dynamic and dynamic spatially explicit simulations: Current advances and future applications of the Stochastic Dynamic Methodology (StDM), Ecological Modelling, 258, (91), (2013).
    • , Geographic and seasonal distribution of the Cock-tailed Tyrant (Alectrurus tricolor) inferred from niche modeling, Journal of Ornithology, 154, 2, (393), (2013).
    • , Quantification of climate change for the last 20,000years from Wonderkrater, South Africa: Implications for the long-term dynamics of the Intertropical Convergence Zone, Palaeogeography, Palaeoclimatology, Palaeoecology, 10.1016/j.palaeo.2013.06.024, 386, (575-587), (2013).
    • , Aspectos da ecologia de Calotropis procera (Apocynaceae) em uma área de Caatinga alterada pelas obras do Projeto de Integração do Rio São Francisco em Mauriti, CE, Rodriguésia, 64, 3, (647), (2013).
    • , Spatially Explicit Modeling of Schistosomiasis Risk in Eastern China Based on a Synthesis of Epidemiological, Environmental and Intermediate Host Genetic Data, PLoS Neglected Tropical Diseases, 7, 7, (e2327), (2013).
    • , Are Regional Habitat Models Useful at a Local-Scale? A Case Study of Threatened and Common Insectivorous Bats in South-Eastern Australia, PLoS ONE, 8, 8, (e72420), (2013).
    • , Spatial Population Models for Animals, Environmental Modelling, (221-234), (2013).
    • 2013 IEEE International Conference on Technologies for Homeland Security (HST) Waltham, MA, USA 2013 IEEE International Conference on Technologies for Homeland Security (HST) IEEE , (2013). 978-1-4799-1535-4 978-1-4799-3963-3 Automated pollen identification system for forensic geo-historical location applications , (2013). 297 303 6699018 , 10.1109/THS.2013.6699018 http://ieeexplore.ieee.org/document/6699018/
    • , Modeling sensitive elasmobranch habitats, Journal of Sea Research, 83, (209), (2013).
    • , Geographic and ecological analysis of the Bearded Wood Partridge Dendrortyx barbatus: some insights on its conservation status, Bird Conservation International, 23, 03, (371), (2013).
    • , Challenges in predicting invasive reservoir hosts of emerging pathogens: mapping Rhododendron ponticum as a foliar host for Phytophthora ramorum and Phytophthora kernoviae in the UK, Biological Invasions, 15, 3, (529), (2013).
    • , Management tradeoff between endangered species and biodiversity conservation: The case of Carabus olympiae (Coleoptera: Carabidae) and carabid diversity in north-western Italian Alps, Biological Conservation, 157, (255), (2013).
    • , Carbon turnover in mixed stands: Modelling possible shifts under climate change, Ecological Modelling, 10.1016/j.ecolmodel.2012.12.015, 251, (232-245), (2013).
    • , Modelling the potential distribution ofMesalina watsonana(Stoliczka, 1872) (Reptilia: Lacertidae) on the Iranian Plateau, Zoology in the Middle East, 59, 3, (220), (2013).
    • , Tree-species range shifts in a changing climate: detecting, modeling, assisting, Landscape Ecology, 10.1007/s10980-013-9885-x, 28, 5, (879-889), (2013).
    • , Range Expansion of Ambrosia artemisiifolia in Europe Is Promoted by Climate Change, ISRN Ecology, 2013, (1), (2013).
    • , Niche modelling for twelve plant species (six timber species and six palm trees) in the Amazon region, using collection and field survey data, Forest Ecology and Management, 310, (652), (2013).
    • , Potential Distribution and Risk Assessment of an Invasive Plant Species: A Case Study of Hymenachne amplexicaulis in Australia, Human and Ecological Risk Assessment: An International Journal, 19, 1, (53), (2013).
    • , Marine mammal habitat models come of age: the emergence of ecological and management relevance, Endangered Species Research, 22, 3, (205), (2013).
    • , Climatic factors influencing triatomine occurrence in Central-West Brazil, Memórias do Instituto Oswaldo Cruz, 108, 3, (335), (2013).
    • , Biogeographical Models, Encyclopedia of Biodiversity, 10.1016/B978-0-12-384719-5.00379-8, (565-575), (2013).
    • , The vulnerability of native rangeland plant species to global climate change in the West Asia and North African regions, Climatic Change, 119, 2, (451), (2013).
    • , Do Ecological Niche Model Predictions Reflect the Adaptive Landscape of Species?: A Test Using Myristica malabarica Lam., an Endemic Tree in the Western Ghats, India, PLoS ONE, 8, 11, (e82066), (2013).
    • , Climate Change and Range Expansion of the Asian Tiger Mosquito (Aedes albopictus) in Northeastern USA: Implications for Public Health Practitioners, PLoS ONE, 8, 4, (e60874), (2013).
    • , Predicting the Impact of Climate Change on Threatened Species in UK Waters, PLoS ONE, 8, 1, (e54216), (2013).
    • , Developing a site selection tool to assist reintroduction efforts for the Southern Ground-HornbillBucorvus leadbeateri, Ostrich, 84, 2, (101), (2013).
    • , Factors influencing the occurrence of Eleonora's falconFalco eleonoraebreeding colonies on Greek islands, Wildlife Biology, 19, 2, (202), (2013).
    • , Green infrastructures and intensive forestry: Need and opportunity for spatial planning in a Swedish rural–urban gradient, Scandinavian Journal of Forest Research, 28, 2, (143), (2013).
    • , Irrigation as an important factor in species distribution models, Basic and Applied Ecology, 14, 8, (651), (2013).
    • , From the Apennines to the Alps: recent range expansion of the crested porcupineHystrix cristataL., 1758 (Mammalia: Rodentia: Hystricidae) in Italy, Italian Journal of Zoology, 80, 4, (469), (2013).
    • , Niche Conservatism and the Future Potential Range of Epipactis helleborine (Orchidaceae), PLoS ONE, 8, 10, (e77352), (2013).
    • , Comparing multiple species distribution proxies and different quantifications of the human footprint map, implications for conservation, Biological Conservation, 165, (203), (2013).
    • , Impacts of climate change on the distribution of species and communities in the Chilean Mediterranean ecosystem, Regional Environmental Change, 13, 6, (1245), (2013).
    • , Evaluating the predictive performance of stacked species distribution models applied to plant species selection in ecological restoration, Ecological Modelling, 263, (103), (2013).
    • , Coevolution and the Effects of Climate Change on Interacting Species, PLoS Biology, 11, 10, (e1001685), (2013).
    • , Seasonal Variation in the Spatial Distribution of Basking Sharks (Cetorhinus maximus) in the Lower Bay of Fundy, Canada, PLoS ONE, 8, 12, (e82074), (2013).
    • , Modelling geographic distribution and detecting conservation gaps in Italy for the threatened beetle Rosalia alpina, Journal for Nature Conservation, 21, 2, (72), (2013).
    • , Using ecological niche models to infer the distribution and population size of parakeets in New Caledonia, Biological Conservation, 167, (149), (2013).
    • , Niche divergence by deep‐sea octocorals in the genus Callogorgia across the continental slope of the Gulf of Mexico, Molecular Ecology, 22, 15, (4123-4140), (2013).
    • , Use of topographic predictors for macrobenthic community mapping in the Marine Reserve of La Palma (Canary Islands, Spain), Ecological Modelling, 263, (19), (2013).
    • , Indicator plant species selection for monitoring the impact of climate change based on prediction uncertainty, Ecological Indicators, 29, (307), (2013).
    • , Range expansion and potential distribution of the invasive grass Bromus tectorum in southern South America on the base of herbarium records, Journal of Arid Environments, 97, (230), (2013).
    • , Local genetic structure of a montane herb among isolated grassland patches: implications for the preservation of genetic diversity under climate change, Population Ecology, 55, 3, (417-431), (2013).
    • , Effects of Consumptive Water Use on Biodiversity in Wetlands of International Importance, Environmental Science & Technology, 10.1021/es403635j, 47, 21, (12248-12257), (2013).
    • , Effect of inventory method on niche models: Random versus systematic error, Ecological Informatics, 18, (20), (2013).
    • , Influence of macrohabitat preferences on the distribution of European brook and river lampreys: Implications for conservation and management, Biological Conservation, 10.1016/j.biocon.2012.11.013, 159, (175-186), (2013).
    • , Mapping Spread and Risk of Avian Influenza A (H7N9) in China, Scientific Reports, 3, 1, (2013).
    • , Using species distribution modelling to disentangle realised versus potential distributions for rare species conservation, Biological Conservation, 166, (221), (2013).
    • , Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of Fairbanks, Alaska, Polar Biology, 36, 11, (1587), (2013).
    • , How fine is fine-scale? Questioning the use of fine-scale bioclimatic data in species distribution models used for forecasting abundance patterns in butterflies, European Journal of Entomology, 10.14411/eje.2013.044, 110, 2, (311-317), (2013).
    • , Spatiotemporal dynamics of the spread of African tilapias (Pisces: Oreochromis spp.) into rivers of northeastern Mesoamerica, Biological Invasions, 15, 7, (1471), (2013).
    • , Phylogeography of the western jumping mouse (Zapus princeps) detects deep and persistent allopatry with expansion, Journal of Mammalogy, 94, 5, (1016), (2013).
    • , Assessing the effects of variables and background selection on the capture of the tick climate niche, International Journal of Health Geographics, 12, 1, (43), (2013).
    • , Predicting the geographic distribution of Lutzomyia longipalpis (Diptera: Psychodidae) and visceral leishmaniasis in the state of Mato Grosso do Sul, Brazil, Memórias do Instituto Oswaldo Cruz, 108, 8, (992), (2013).
    • , Unveiling Current Guanaco Distribution in Chile Based upon Niche Structure of Phylogeographic Lineages: Andean Puna to Subpolar Forests, PLoS ONE, 8, 11, (e78894), (2013).
    • , Predicting the impacts of climate change on genetic diversity in an endangered lizard species, Climatic Change, 117, 1-2, (319), (2013).
    • , Disentangling the effects of global climate and regional land-use change on the current and future distribution of mangroves in South Africa, Biodiversity and Conservation, 22, 6-7, (1369), (2013).
    • , Influence of model selection on the predicted distribution of the seagrass Zostera marina, Estuarine, Coastal and Shelf Science, 121-122, (8), (2013).
    • , Environmental factors associated with invasion: modelling occurrence data from a coordinated sampling programme for Pacific oysters, Biological Invasions, 15, 10, (2265), (2013).
    • , Grazing management or physiography? Factors controlling vegetation recovery in Mediterranean grasslands, Ecological Modelling, 10.1016/j.ecolmodel.2012.12.005, 251, (73-84), (2013).
    • , Effects of climate change on species distribution, community structure, and conservation of birds in protected areas in Colombia, Regional Environmental Change, 13, 2, (235), (2013).
    • , Egypt’s Protected Area network under future climate change, Biological Conservation, 10.1016/j.biocon.2012.11.025, 159, (490-500), (2013).
    • , Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling, PLoS ONE, 8, 8, (e71218), (2013).
    • , Using species distribution modelling to predict bat fatality risk at wind farms, Biological Conservation, 157, (178), (2013).
    • , A greener Greenland? Climatic potential and long-term constraints on future expansions of trees and shrubs, Philosophical Transactions of the Royal Society B: Biological Sciences, 10.1098/rstb.2012.0479, 368, 1624, (20120479-20120479), (2013).
    • , Drastic reduction in the potential habitats for alpine and subalpine vegetation in the Pyrenees due to twenty-first-century climate change, Regional Environmental Change, 13, 6, (1157), (2013).
    • , Global warming may freeze the invasion of big-headed ants, Biological Invasions, 10.1007/s10530-012-0390-y, 15, 7, (1561-1572), (2012).
    • , Assessing the Spatial Scale Effect of Anthropogenic Factors on Species Distribution, PLoS ONE, 8, 6, (e67573), (2013).
    • , Effects of global changes on the climatic niche of the tick Ixodes ricinus inferred by species distribution modelling, Parasites & Vectors, 6, 1, (271), (2013).
    • , Spatial predictions of land‐use transitions and associated threats to biodiversity: the case of forest regrowth in mountain grasslands, Applied Vegetation Science, 16, 2, (227-236), (2012).
    • , Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran, Journal of Insect Science, 13, 116, (1), (2013).
    • , The utility of relative environmental suitability (RES) modelling for predicting distributions of seabirds in the North Atlantic, Marine Ecology Progress Series, 485, (259), (2013).
    • , Land Suitability Modeling Using a Geographic Socio-Environmental Niche-Based Approach: A Case Study from Northeastern Thailand, Annals of the Association of American Geographers, 103, 4, (764), (2013).
    • , Predicting the spatial distribution of the blue-spotted maskray Neotrygon kuhlii (Myliobatiformes, Dasyatidae) on the Australian North and Northwest Shelf comparing two different methods of habitat modeling, Journal of Ichthyology, 53, 8, (628), (2013).
    • , Post-Glacial Spatial Dynamics in a Rainforest Biodiversity Hot Spot, Diversity, 5, 4, (124), (2013).
    • 2013 IEEE 9th International Conference on eScience (eScience) Beijing, China 2013 IEEE 9th International Conference on e-Science IEEE , (2013). 978-0-7695-5083-1 Bird-SDPS: A Migratory Birds' Spatial Distribution Prediction System , (2013). 9 16 6683886 , 10.1109/eScience.2013.12 http://ieeexplore.ieee.org/document/6683886/
    • , Model-Based Control of Observer Bias for the Analysis of Presence-Only Data in Ecology, PLoS ONE, 8, 11, (e79168), (2013).
    • , Representation of Ecosystem Services by Terrestrial Protected Areas: Chile as a Case Study, PLoS ONE, 8, 12, (e82643), (2013).
    • , Big Data Opportunities for Global Infectious Disease Surveillance, PLoS Medicine, 10, 4, (e1001413), (2013).
    • , A new spin on a compositionalist predictive modelling framework for conservation planning: A tropical case study in Ecuador, Biological Conservation, 160, (150), (2013).
    • , Paleoclimatic modeling and phylogeography of least killifish, Heterandria formosa: insights into Pleistocene expansion-contraction dynamics and evolutionary history of North American Coastal Plain freshwater biota, BMC Evolutionary Biology, 10.1186/1471-2148-13-223, 13, 1, (223), (2013).
    • , Dangers of using global bioclimatic datasets for ecological niche modeling. Limitations for future climate projections, Global and Planetary Change, 107, (1), (2013).
    • , Improving pest risk assessment and management through the aid of geospatial information technology standards, NeoBiota, 18, (119), (2013).
    • , Confronting expert-based and modelled distributions for species with uncertain conservation status: A case study from the corncrake (Crex crex), Biological Conservation, 167, (161), (2013).
    • , Toward river health assessment using species distributional modeling, Ecological Indicators, 29, (138), (2013).
    • , Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling, International Journal of Wildland Fire, 22, 6, (770), (2013).
    • , Species distribution modelling for conservation planning in Victoria, Australia, Ecological Modelling, 249, (68), (2013).
    • , Creating a Potential Distribution Map for Greater White-Fronted Geese Wintering in Japan, Ornithological Science, 12, 2, (117), (2013).
    • , Climate and pH Predict the Potential Range of the Invasive Apple Snail (Pomacea insularum) in the Southeastern United States, PLoS ONE, 8, 2, (e56812), (2013).
    • , A new stochastic dynamic tool to improve the accuracy of mortality estimates for bats killed at wind farms, Ecological Indicators, 34, (428), (2013).
    • , Predicting geographic distribution and habitat suitability due to climate change of selected threatened forest tree species in the Philippines, Applied Geography, 44, (12), (2013).
    • , Ecology and geography of hemorrhagic fever with renal syndrome in Changsha, China, BMC Infectious Diseases, 10.1186/1471-2334-13-305, 13, 1, (2013).
    • , Managing visitors in nature areas: where do they leave the trails? A spatial model, Wildlife Biology, 19, 1, (1), (2013).
    • , Quaternary refugia in southwestern Iran: insights from two sympatric moth species (Insecta, Lepidoptera), Organisms Diversity & Evolution, 13, 3, (409), (2013).
    • , Human proximity and habitat fragmentation are key drivers of the rangewide bonobo distribution, Biodiversity and Conservation, 10.1007/s10531-013-0572-7, 22, 13-14, (3085-3104), (2013).
    • , Distribution range and ecological niche ofPrimula marginataCurtis (Primulaceae), Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 147, 3, (593), (2013).
    • , Patterns of Diversity, Areas of Endemism, and Multiple Glacial Refuges for Freshwater Crabs of the Genus Sinopotamon in China (Decapoda: Brachyura: Potamidae), PLoS ONE, 8, 1, (e53143), (2013).
    • , Climate, vegetation, introduced hosts and trade shape a global wildlife pandemic, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2012.2506, 280, 1753, (20122506-20122506), (2012).
    • , Using species distribution and occupancy modeling to guide survey efforts and assess species status, Journal for Nature Conservation, 21, 2, (114), (2013).
    • , Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change, Ecological Modelling, 259, (62), (2013).
    • , Modeling the Habitat Retreat of the Rediscovered Endemic Hawaiian Moth Omiodes continuatalis Wallengren (Lepidoptera: Crambidae), PLoS ONE, 8, 1, (e51885), (2013).
    • , Predicting estuarine use patterns of juvenile fish with Generalized Linear Models, Estuarine, Coastal and Shelf Science, 120, (64), (2013).
    • , Modelling potential impacts of climate change on the bioclimatic envelope and conservation of the Maned Wolf (Chrysocyon brachyurus), Mammalian Biology, 10.1016/j.mambio.2012.04.008, 78, 1, (41-49), (2013).
    • , Understanding the mechanisms underlying the distribution of microendemic montane frogs (Brachycephalus spp., Terrarana: Brachycephalidae) in the Brazilian Atlantic Rainforest, Ecological Modelling, 250, (165), (2013).
    • , 2.6 Statistical Methods for Geomorphic Distribution Modeling, Treatise on Geomorphology, 10.1016/B978-0-12-374739-6.00028-2, (59-73), (2013).
    • , Predicting potential distribution of Quercus suber in Italy based on ecological niche models: Conservation insights and reforestation involvements, Forest Ecology and Management, 304, (150), (2013).
    • , Spatiotemporal Predictive Models for Juvenile Southern Flounder in Texas Estuaries, North American Journal of Fisheries Management, 33, 4, (817-828), (2013).
    • , Identifying optimal feeding habitat and proposed Marine Protected Areas (pMPAs) for the black-legged kittiwake (Rissa tridactyla) suggests a need for complementary management approaches, Biological Conservation, 164, (73), (2013).
    • , Wildfire ignition-distribution modelling: a comparative study in the Huron?Manistee National Forest, Michigan, USA, International Journal of Wildland Fire, 10.1071/WF11178, 22, 2, (174), (2013).
    • , Deoxygenation alters bacterial diversity and community composition in the ocean’s largest oxygen minimum zone, Nature Communications, 4, (2013).
    • , Invasive potential of the coral Tubastraea coccinea in the southwest Atlantic, Marine Ecology Progress Series, 480, (73), (2013).
    • , Diversidad y distribución de Marcgraviaceae en México, Revista Mexicana de Biodiversidad, 84, 1, (170), (2013).
    • , The Cross River Gorillas (Gorilla gorilla diehli) at Mawambi Hills, South-West Cameroon: Habitat Suitability and Vulnerability to Anthropogenic Disturbance, Folia Primatologica, 84, 1, (18), (2013).
    • , From Anopheles to Spatial Surveillance: A Roadmap Through a Multidisciplinary Challenge, Anopheles mosquitoes - New insights into malaria vectors, 10.5772/55622, (2013).
    • , Global climate change will severely decrease potential distribution of the East Asian coldwater fish Rhynchocypris oxycephalus (Actinopterygii, Cyprinidae), Hydrobiologia, 700, 1, (23), (2013).
    • , Predictive mapping of Meadow Pipit density using integrated remote sensing data and an atlas of vascular plants dataset, Bird Study, 60, 4, (500), (2013).
    • , Geospatial tools for identifying and managing invasive plants, Invasive Plant Ecology, 10.1201/b13865-15, (175-202), (2013).
    • , Modelling spatial patterns of urban growth in Africa, Applied Geography, 44, (23), (2013).
    • , Modeling the habitat suitability for deep-water gorgonian corals based on terrain variables, Ecological Informatics, 13, (123), (2013).
    • , Frequency, Measurements for Terrestrial Vegetation, (99-116), (2013).
    • , Regional-scale modelling of the cumulative impact of wind farms on bats, Biodiversity and Conservation, 22, 8, (1821), (2013).
    • , Effects of global climate changes on geographical distribution patterns of economically important plant species in cerrado, Revista Árvore, 37, 2, (267), (2013).
    • , Modeling the Geographic Distribution of the Epiphytic MossMacromitrium japonicumin China, Annales Botanici Fennici, 50, 1-2, (35), (2013).
    • , Predicting impacts of climate change on medicinal asclepiads of Pakistan using Maxent modeling, Acta Oecologica, 49, (23), (2013).
    • , Estimating realized and potential carbon storage benefits from reforestation and afforestation under climate change: a case study of the Qinghai spruce forests in the Qilian Mountains, northwestern China, Mitigation and Adaptation Strategies for Global Change, 18, 8, (1257), (2013).
    • , Novel Data on the Ecology of Cochranella mache (Anura: Centrolenidae) and the Importance of Protected Areas for This Critically Endangered Glassfrog in the Neotropics, PLoS ONE, 8, 12, (e81837), (2013).
    • , Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models, Global Change Biology, 19, 3, (858-869), (2012).
    • , A quantitative estimate of the function of soft-bottom sheltered coastal areas as essential flatfish nursery habitat, Estuarine, Coastal and Shelf Science, 133, (193), (2013).
    • , Assessing biome boundary shifts under climate change scenarios in India, Ecological Indicators, 34, (536), (2013).
    • , Geographic Distribution and Niche Divergence of Two Stinkbugs,Parastrachia japonensisandParastrachia nagaensis, Journal of Insect Science, 13, 102, (1), (2013).
    • , Rapid decline and shift in the future distribution predicted for the endangered Sokoke Scops Owl Otus ireneae due to climate change, Bird Conservation International, 23, 02, (247), (2013).
    • , A Modeling and Field Approach to Identify Essential Fish Habitat for Juvenile Bay Whiff (Citharichthys spilopterus) and Southern Flounder (Paralichthys lethostigma) Within the Aransas Bay Complex, TX, Estuaries and Coasts, 36, 5, (881), (2013).
    • , Predicting climate change effects on agriculture from ecological niche modeling: who profits, who loses?, Climatic Change, 116, 2, (177), (2013).
    • , Climate change driven shifts in the extent and location of areas suitable for export banana production, Ecological Economics, 95, (83), (2013).
    • , Taxonomy, Distribution and Ecological Niche Models of the Afrotropical Platynotoid Platynotina (Tenebrionidae: Pedinini), Annales Zoologici, 63, 4, (653), (2013).
    • , Ecology predicts parapatric distributions in two closely related Antirrhinum majus subspecies, Evolutionary Ecology, 27, 1, (51), (2013).
    • , Beyond correlation: integrating environmentally and behaviourally mediated processes in models of marine mammal distributions, Endangered Species Research, 22, 3, (191), (2013).
    • , Interdisciplinary approaches to understanding disease emergence: The past, present, and future drivers of Nipah virus emergence, Proceedings of the National Academy of Sciences, 110, Supplement_1, (3681), (2013).
    • , Habitat selection in a changing environment: the relationship between habitat alteration and Scops Owl (Aves: Strigidae) territory occupancy, Italian Journal of Zoology, 80, 4, (574), (2013).
    • , A Potential Distribution Model and Conservation Plan for the Critically Endangered Ecuadorian Capuchin, Cebus albifrons aequatorialis, International Journal of Primatology, 34, 5, (899), (2013).
    • , How will climate change spatially affect agriculture production in Ethiopia? Case studies of important cereal crops, Climatic Change, 119, 3-4, (855), (2013).
    • , Spatial distribution and environmental preferences of 10 economically important forest palms in western South America, Forest Ecology and Management, 307, (284), (2013).
    • , Legume diversity as indicator for botanical diversity on Sundaland, South East Asia, South African Journal of Botany, 89, (265), (2013).
    • , Potential effects of climate change on the distribution of Scarabaeidae dung beetles in Western Europe, Journal of Insect Conservation, 17, 5, (1059), (2013).
    • , The Use of a Predictive Habitat Model and a Fuzzy Logic Approach for Marine Management and Planning, PLoS ONE, 8, 10, (e76430), (2013).
    • , Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species, Biodiversity and Conservation, 10.1007/s10531-013-0509-1, 22, 8, (1731-1754), (2013).
    • , Predicting the Distribution Pattern of Small Carnivores in Response to Environmental Factors in the Western Ghats, PLoS ONE, 8, 11, (e79295), (2013).
    • , A straightforward conceptual approach for evaluating spatial conservation priorities under climate change, Biodiversity and Conservation, 22, 2, (483), (2013).
    • , Climate-Induced Range Shifts and Possible Hybridisation Consequences in Insects, PLoS ONE, 8, 11, (e80531), (2013).
    • , Rapid case-based mapping of seasonal malaria transmission risk for strategic elimination planning in Swaziland, Malaria Journal, 10.1186/1475-2875-12-61, 12, 1, (2013).
    • , Evaluating ensemble forecasts of plant species distributions under climate change, Ecological Modelling, 266, (126), (2013).
    • , A Global Airport-Based Risk Model for the Spread of Dengue Infection via the Air Transport Network, PLoS ONE, 8, 8, (e72129), (2013).
    • , Predicting Environmental Suitability for a Rare and Threatened Species (Lao Newt, Laotriton laoensis) Using Validated Species Distribution Models, PLoS ONE, 8, 3, (e59853), (2013).
    • , Vulnerability of 208 endemic or endangered species in China to the effects of climate change, Regional Environmental Change, 10.1007/s10113-012-0344-z, 13, 4, (843-852), (2012).
    • , Environmental Factors Affecting the Differential use of Foraging Habitat by Three Sympatric Species ofPipistrellus, Acta Chiropterologica, 15, 1, (57), (2013).
    • , Habitat modeling with single- and multi-target trees and ensembles, Ecological Informatics, 18, (79), (2013).
    • , Does the protected area network preserve bird species of conservation concern in a rapidly changing climate?, Biodiversity and Conservation, 10.1007/s10531-012-0423-y, 22, 2, (459-482), (2012).
    • , Phlebotominae of epidemiological importance in cutaneous leishmaniasis in northwestern Argentina: risk maps and ecological niche models, Medical and Veterinary Entomology, 27, 1, (39), (2013).
    • , Modelling distribution patterns of anecic, epigeic and endogeic earthworms at catchment-scale in agro-ecosystems, Pedobiologia, 56, 1, (23), (2013).
    • , Rising temperatures explain past immigration of the thermophilic oak-inhabiting beetle Coraebus florentinus (Coleoptera: Buprestidae) in south-west Germany, Biodiversity and Conservation, 22, 5, (1115), (2013).
    • , Climate change is predicted to negatively influence Moroccan endemic reptile richness. Implications for conservation in protected areas, Naturwissenschaften, 10.1007/s00114-013-1088-4, 100, 9, (877-889), (2013).
    • , Evidence for large-scale effects of competition: niche displacement in Canada lynx and bobcat, Proceedings of the Royal Society B: Biological Sciences, 280, 1773, (20132495), (2013).
    • , The Influence of Interspecific Competition and Host Preference on the Phylogeography of Two African Ixodid Tick Species, PLoS ONE, 8, 10, (e76930), (2013).
    • , Are Plant Species Able to Keep Pace with the Rapidly Changing Climate?, PLoS ONE, 8, 7, (e67909), (2013).
    • , Modelling Niche Differentiation of Co-Existing, Elusive and Morphologically Similar Species: A Case Study of Four Macaque Species in Nakai-Nam Theun National Protected Area, Laos, Animals, 3, 4, (45), (2013).
    • , Radial growth response of Pinus densiflora and Quercus spp. to topographic and climatic factors in South Korea, Journal of Plant Ecology, 6, 5, (380), (2013).
    • , Large-scale determinants of intestinal schistosomiasis and intermediate host snail distribution across Africa: does climate matter?, Acta Tropica, 128, 2, (378), (2013).
    • , Predicting the potential distribution of Vexillata (Nematoda: Ornithostrongylidae) and its hosts (Mammalia: Rodentia) within America, Journal of Helminthology, 87, 04, (400), (2013).
    • , Influences of temporal independence of data on modelling species distributions, Basic and Applied Ecology, 14, 4, (309), (2013).
    • , Suitable habitat model for walleye (Sander vitreus) in Lake Erie: Implications for inter-jurisdictional harvest quota allocations, Journal of Great Lakes Research, 39, 4, (591), (2013).
    • , Vegetation and Environment: Discontinuities and Continuities, Vegetation Ecology, (71-106), (2013).
    • , Potential spread of recently naturalised plants in New Zealand under climate change, Climatic Change, 117, 4, (919), (2013).
    • , Comparing the performance of species distribution models of Zostera marina: Implications for conservation, Journal of Sea Research, 83, (56), (2013).
    • , Lanternfish (Myctophidae) Zoogeography off Eastern Australia: A Comparison with Physicochemical Biogeography, PLoS ONE, 8, 12, (e80950), (2013).
    • , Global mapping of infectious disease, Philosophical Transactions of the Royal Society B: Biological Sciences, 368, 1614, (20120250), (2013).
    • , Species Distribution Models for Crop Pollination: A Modelling Framework Applied to Great Britain, PLoS ONE, 8, 10, (e76308), (2013).
    • , Fit-for-Purpose: Species Distribution Model Performance Depends on Evaluation Criteria – Dutch Hoverflies as a Case Study, PLoS ONE, 8, 5, (e63708), (2013).
    • , Potential effects of climate change on the distribution of the common frog Rana temporaria at its northern range margin , Israel Journal of Ecology & Evolution, 10.1080/15659801.2014.888825, 59, 3, (130-140), (2013).
    • , A re-evaluation of a case-control model with contaminated controls for resource selection studies, Journal of Animal Ecology, 82, 6, (1165), (2013).
    • , Integrative taxonomy and preliminary assessment of species limits in the Liolaemus walkeri complex (Squamata, Liolaemidae) with descriptions of three new species from Peru, ZooKeys, 364, (47), (2013).
    • , Assessing regional species pools for restoration programs in Spain, New Forests, 10.1007/s11056-013-9363-y, 44, 4, (559-576), (2013).
    • , Predictive modeling of coral distribution and abundance in the Hawaiian Islands, Marine Ecology Progress Series, 481, (121), (2013).
    • , High-resolution predictive mapping for Rhipicephalus appendiculatus (Acari: Ixodidae) in the Horn of Africa, Experimental and Applied Acarology, 60, 4, (531), (2013).
    • , Identifying Preservation and Restoration Priority Areas for Desert Fishes in an Increasingly Invaded World, Environmental Management, 51, 3, (631), (2013).
    • , Management Relevance of Benthic Biogeography at Multiple Scales in Coastal Waters of the Northeast U.S., Environmental Management, 51, 4, (862), (2013).
    • , Bibliography, Data Analysis in Vegetation Ecology, (281-291), (2013).
    • , Forecasting Distributional Responses of Limber Pine to Climate Change at Management-Relevant Scales in Rocky Mountain National Park, PLoS ONE, 8, 12, (e83163), (2013).
    • , Inferring the effects of past climate fluctuations on the distribution pattern of Iranolacerta (Reptilia, Lacertidae): Evidence from mitochondrial DNA and species distribution models, Zoologischer Anzeiger - A Journal of Comparative Zoology, 252, 2, (141), (2013).
    • , The sensitivity of species distribution modeling to scale differences, Ecological Modelling, 248, (113), (2013).
    • , Climate and Soil Type Together Explain the Distribution of Microendemic Species in a Biodiversity Hotspot, PLoS ONE, 8, 12, (e80811), (2013).
    • , Global marine bacterial diversity peaks at high latitudes in winter, The ISME Journal, 10.1038/ismej.2013.37, 7, 9, (1669-1677), (2013).
    • , Polyploidization in Heuchera cylindrica (Saxifragaceae) did not result in a shift in climatic requirements, American Journal of Botany, 100, 3, (496-508), (2013).
    • , The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models, PLoS ONE, 8, 2, (e55158), (2013).
    • , New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package, Environmental Modelling & Software, 40, (267), (2013).
    • , Remotely sensed forest structural complexity predicts multi species occurrence at the landscape scale, Forest Ecology and Management, 307, (303), (2013).
    • , Systematics of the Goblin Spider GenusOpopaea(Araneae, Oonopidae) in Madagascar, Bulletin of the American Museum of Natural History, 380, (1), (2013).
    • , Missing the target? A critical view on butterfly conservation efforts on calcareous grasslands in south-western Germany, Biodiversity and Conservation, 10.1007/s10531-012-0413-0, 22, 10, (2223-2241), (2012).
    • , Legume phylogeny and classification in the 21st century: Progress, prospects and lessons for other species–rich clades, TAXON, 62, 2, (217-248), (2018).
    • , Modelling seasonal changes in the distribution of Common Quail oturnix coturnix in farmland landscapes using remote sensing, Ibis, 154, 4, (703-713), (2012).
    • , Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion, Diversity and Distributions, 18, 1, (73-83), (2011).
    • , Reconstructing range dynamics and range fragmentation of European bison for the last 8000 years, Diversity and Distributions, 18, 1, (47-59), (2011).
    • , Ditch the niche – is the niche a useful concept in ecology or species distribution modelling?, Journal of Biogeography, 39, 12, (2096-2102), (2012).
    • , Using ecological niche modelling to evaluate niche stability in deep time, Journal of Biogeography, 39, 4, (772-781), (2011).
    • , Niche models tell half the story: spatial context and life‐history traits influence species responses to global change, Journal of Biogeography, 39, 7, (1266-1277), (2012).
    • , Less than eight (and a half) misconceptions of spatial analysis, Journal of Biogeography, 39, 5, (995-998), (2012).
    • , Geological habitat template overrides late Quaternary climate change as a determinant of range dynamics and phylogeography in some habitat‐specialist water beetles, Journal of Biogeography, 39, 5, (970-983), (2011).
    • , Population density but not stability can be predicted from species distribution models, Journal of Applied Ecology, 49, 3, (581-590), (2012).
    • , Exploring the role of environmental variables in shaping patterns of seabed biodiversity composition in regional‐scale ecosystems, Journal of Applied Ecology, 49, 3, (670-679), (2012).
    • , Environmental conditions associated with bat white‐nose syndrome mortality in the north‐eastern United States, Journal of Applied Ecology, 49, 3, (680-689), (2012).
    • , Multi‐temporal distribution modelling with satellite tracking data: predicting responses of a long‐distance migrant to changing environmental conditions, Journal of Applied Ecology, 49, 4, (803-813), (2012).
    • , No‐analog climates and shifting realized niches during the late quaternary: implications for 21st‐century predictions by species distribution models, Global Change Biology, 18, 5, (1698-1713), (2012).
    • , Assessing transferability of ecological models: an underappreciated aspect of statistical validation, Methods in Ecology and Evolution, 3, 2, (260-267), (2012).
    • , The role of niche divergence and phenotypic adaptation in promoting lineage diversification in the Sage Sparrow (rtemisiospiza belli, Aves: Emberizidae), Biological Journal of the Linnean Society, 107, 2, (332-354), (2012).
    • , Potential natural vegetation: reburying or reboring?, Journal of Vegetation Science, 23, 3, (596-604), (2012).
    • , Physiological adaptation along environmental gradients and replicated hybrid zone structure in swordtails (Teleostei: Xiphophorus), Journal of Evolutionary Biology, 25, 9, (1800-1814), (2012).
    • , Speciation in the Rana chensinensis species complex and its relationship to the uplift of the Qinghai–Tibetan Plateau, Molecular Ecology, 21, 4, (960-973), (2012).
    • , Influence of environmental heterogeneity on genetic diversity and structure in an endemic southern Californian oak, Molecular Ecology, 21, 13, (3210-3223), (2012).
    • , Modelling changes in the distribution of the critical food resources of a specialist folivore in response to climate change, Diversity and Distributions, 18, 9, (847-860), (2012).
    • , Ocean‐scale prediction of whale shark distribution, Diversity and Distributions, 18, 5, (504-518), (2011).
    • , Predicting how adaptation to climate change could affect ecological conservation: secondary impacts of shifting agricultural suitability, Diversity and Distributions, 18, 5, (425-437), (2012).
    • , Integrating detection probabilities in species distribution models of amphibians breeding in Mediterranean temporary ponds, Diversity and Distributions, 18, 3, (260-272), (2011).
    • , Simulating climate change impacts on forests and associated vascular epiphytes in a subtropical island of East Asia, Diversity and Distributions, 18, 4, (334-347), (2011).
    • , The biogeographic legacy of an imperilled taxon provides a foundation for assessing lineage diversification, demography and conservation genetics, Diversity and Distributions, 18, 7, (689-703), (2011).
    • , Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics, Diversity and Distributions, 18, 6, (615-627), (2012).
    • , Satellite surface reflectance improves habitat distribution mapping: a case study on heath and shrub formations in the Cantabrian Mountains (NW Spain), Diversity and Distributions, 18, 6, (588-602), (2011).
    • , Use of ring recoveries to predict habitat suitability in small passerines, Diversity and Distributions, 18, 11, (1130-1138), (2012).
    • , Palaeodistribution modelling and genetic evidence highlight differential post‐glacial range shifts of a rain forest conifer distributed across a latitudinal gradient, Journal of Biogeography, 39, 12, (2292-2302), (2012).
    • , A spatially explicit assessment of within‐season changes in environmental suitability for farmland birds along an altitudinal gradient, Animal Conservation, 15, 6, (638-647), (2012).
    • , Relative frequency function models for species distribution modeling, Ecography, 35, 6, (487-498), (2012).
    • , Nice weather for bettongs: using weather events, not climate means, in species distribution models, Ecography, 35, 4, (306-314), (2012).
    • , Correlation and process in species distribution models: bridging a dichotomy, Journal of Biogeography, 39, 12, (2119-2131), (2012).
    • , Comparative interpretation of count, presence–absence and point methods for species distribution models, Methods in Ecology and Evolution, 3, 1, (177-187), (2011).
    • , Species distribution models as a tool to estimate reproductive parameters: a case study with a passerine bird species, Journal of Animal Ecology, 81, 4, (781-787), (2012).
    • , Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling, Global Ecology and Biogeography, 21, 4, (498-507), (2011).
    • , Species distribution models for the alien invasive Asian Harlequin ladybird (Harmonia axyridis), Journal of Applied Entomology, 136, 1‐2, (109-123), (2010).
    • , Postglacial colonization of Europe by the barbastelle bat: agreement between molecular data and past predictive modelling, Molecular Ecology, 21, 11, (2761-2774), (2012).
    • , How do species interactions affect species distribution models?, Ecography, 35, 9, (811-820), (2012).
    • , Invasion hotspots for non‐native plants in Australia under current and future climates, Global Change Biology, 18, 2, (617-629), (2011).
    • , Salinity influences the distribution of marine snakes: implications for evolutionary transitions to marine life, Ecography, 35, 11, (994-1003), (2012).
    • , Predicting vascular plant richness patterns in Catalonia (NE Spain) using species distribution models, Applied Vegetation Science, 15, 3, (390-400), (2012).
    • , A Revised Conservation Assessment of Dipterocarps in Sabah, Biotropica, 44, 5, (649-657), (2012).
    • , Combining static and dynamic variables in species distribution models under climate change, Methods in Ecology and Evolution, 3, 2, (349-357), (2011).
    • , Selecting pseudo‐absences for species distribution models: how, where and how many?, Methods in Ecology and Evolution, 3, 2, (327-338), (2012).
    • , Early stages of divergence: phylogeography, climate modeling, and morphological differentiation in the South American lizard Liolaemus petrophilus (Squamata: Liolaemidae), Ecology and Evolution, 2, 4, (792-808), (2012).
    • , Projected changes in distributions of Australian tropical savanna birds under climate change using three dispersal scenarios, Ecology and Evolution, 2, 4, (705-718), (2012).
    • , Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions, Annals of the New York Academy of Sciences, 1260, 1, (66-80), (2012).
    • , Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates, Global Change Biology, 18, 4, (1253-1269), (2011).
    • , Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming?, Global Change Biology, 18, 4, (1357-1371), (2012).
    • , Modelling the potential impact of climate variability and change on species regeneration potential in the temperate forests of South‐Eastern Australia, Global Change Biology, 18, 3, (1053-1072), (2011).
    • , Evaluation of assisted colonization strategies under global change for a rare, fire‐dependent plant, Global Change Biology, 18, 3, (936-947), (2011).
    • , Environmental controls on the global distribution of shallow‐water coral reefs, Journal of Biogeography, 39, 8, (1508-1523), (2012).
    • , Vegetation dynamics and avian seasonal migration: clues from remotely sensed vegetation indices and ecological niche modelling, Journal of Biogeography, 39, 4, (652-664), (2011).
    • , Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents, Journal of Biogeography, 39, 12, (2163-2178), (2011).
    • , Geographic range determinants of two commercially important marine molluscs, Diversity and Distributions, 18, 2, (133-146), (2011).
    • , A physiological analogy of the niche for projecting the potential distribution of plants, Journal of Biogeography, 39, 12, (2132-2145), (2012).
    • , Modelling invasive alien species distributions from digital biodiversity atlases. Model upscaling as a means of reconciling data at different scales, Diversity and Distributions, 18, 12, (1177-1189), (2012).
    • , How biotic interactions may alter future predictions of species distributions: future threats to the persistence of the arctic fox in Fennoscandia, Diversity and Distributions, 18, 6, (554-562), (2012).
    • , Fire regime shifts affect bird species distributions, Diversity and Distributions, 18, 3, (213-225), (2011).
    • , Consequences of warming up a hotspot: species range shifts within a centre of bee diversity, Diversity and Distributions, 18, 9, (885-897), (2012).
    • , The Roles of Climate, Phylogenetic Relatedness, Introduction Effort, and Reproductive Traits in the Establishment of Non‐Native Reptiles and Amphibians, Conservation Biology, 26, 2, (267-277), (2012).
    • , Predicting Species Distributions from Samples Collected along Roadsides, Conservation Biology, 26, 1, (68-77), (2011).
    • , Ecohydrological niche of sagebrush ecosystems, Ecohydrology, 5, 4, (453-466), (2011).
    • , Evaluating the ability of regional models to predict local avian abundance, The Journal of Wildlife Management, 76, 6, (1177-1187), (2012).
    • , Predicting the Geographic Distribution of a Species from Presence‐Only Data Subject to Detection Errors, Biometrics, 68, 4, (1303-1312), (2012).
    • , Pleistocene climate changes shaped the divergence and demography of Asian populations of the great tit Parus major: evidence from phylogeographic analysis and ecological niche models, Journal of Avian Biology, 43, 4, (297-310), (2012).
    • , Investigating niche and lineage diversification in widely distributed taxa: phylogeography and ecological niche modeling of the Peromyscus maniculatus species group, Ecography, 35, 1, (54-64), (2012).
    • , Living on predictability: modelling the density distribution of efficient foraging seabirds, Ecography, 35, 10, (912-921), (2012).
    • , A new method for dealing with residual spatial autocorrelation in species distribution models, Ecography, 35, 10, (879-888), (2012).
    • , The effect of a gradual response to the environment on species distribution modeling performance, Ecography, 35, 6, (499-509), (2011).
    • , How to catch a parasite: Parasite Niche Modeler (PaNic) meets Fishbase, Ecography, 35, 6, (481-486), (2012).
    • , Modelling the potential distribution of endangered runus africana (Hook.f.) Kalkm. in East Africa, African Journal of Ecology, 50, 4, (393-403), (2012).
    • , Cryptic niche conservatism among evolutionary lineages of an invasive lizard, Global Ecology and Biogeography, 21, 2, (198-211), (2011).
    • , Bio‐ORACLE: a global environmental dataset for marine species distribution modelling, Global Ecology and Biogeography, 21, 2, (272-281), (2011).
    • , Bioenergy production and Skylark (lauda arvensis) population abundance – a modelling approach for the analysis of land‐use change impacts and conservation options, GCB Bioenergy, 4, 6, (713-727), (2012).
    • , Climate change and disruptions to global fire activity, Ecosphere, 3, 6, (1-22), (2012).
    • , Predicting the environmental niche of the genus Phymaturus: Are palluma and patagonicus groups ecologically differentiated?, Austral Ecology, 37, 3, (392-400), (2011).
    • , Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection, Ecological Applications, 22, 7, (1962-1972), (2012).
    • , Predicting the distribution of out‐of‐reach biotopes with decision trees in a Swedish marine protected area, Ecological Applications, 22, 8, (2248-2264), (2012).
    • , Seeing the forest and the trees: multilevel models reveal both species and community patterns, Ecosphere, 3, 9, (1-16), (2012).
    • , Evidence of environmental niche differentiation in the striped mouse (Rhabdomys sp.): inference from its current distribution in southern Africa, Ecology and Evolution, 2, 5, (1008-1023), (2012).
    • , Projected range shifting by montane mammals under climate change: implications for Cascadia's National Parks, Ecosphere, 3, 11, (1-51), (2012).
    • , Allocating active conservation measures using species distribution models: a case study of red‐footed falcon breeding site management in the Carpathian Basin, Animal Conservation, 15, 6, (648-657), (2012).
    • , Biotic interactions influence the projected distribution of a specialist mammal under climate change, Diversity and Distributions, 18, 9, (861-872), (2012).
    • , The projected effects of climatic and vegetation changes on the distribution and diversity of Southeast Asian bats, Global Change Biology, 18, 6, (1854-1865), (2012).
    • , Understanding bias in geographic range size estimates, Global Ecology and Biogeography, 21, 7, (732-742), (2011).
    • , Inferring prevalence from presence‐only data: a response to ‘Can we model the probability of presence of species without absence data?’, Ecography, 35, 5, (385-387), (2012).
    • , Does the interpolation accuracy of species distribution models come at the expense of transferability?, Ecography, 35, 3, (276-288), (2012).
    • , Are comparisons of species distribution models biased? Are they biologically meaningful?, Ecography, 35, 9, (769-779), (2012).
    • , Not‐so‐splendid isolation: modeling climate‐mediated range collapse of a montane mammal Ochotona princeps across numerous ecoregions, Ecography, 35, 9, (780-791), (2012).
    • , Method selection for species distribution modelling: are temporally or spatially independent evaluations necessary?, Ecography, 35, 9, (792-802), (2011).
    • , Climate‐based empirical models show biased predictions of butterfly communities along environmental gradients, Ecography, 35, 8, (684-692), (2011).
    • , The role of functional traits in species distributions revealed through a hierarchical model, Ecography, 35, 8, (716-725), (2011).
    • , Modelling geographic patterns of population density of the white‐tailed deer in central Mexico by implementing ecological niche theory, Oikos, 121, 12, (2081-2089), (2012).
    • , Genetically and geographically isolated lineages of a tropical bat (Chiroptera: Molossidae) show demographic stability over the late Pleistocene, Biological Journal of the Linnean Society, 106, 1, (18-40), (2012).
    • , The prevailing paradigm as a hindrance to conservation, Wildlife Society Bulletin, 36, 3, (408-414), (2012).
    • , Immigrants and refugees: the importance of dispersal in mediating biotic attrition under climate change, Global Change Biology, 18, 7, (2126-2134), (2012).
    • , Cross‐validation of species distribution models: removing spatial sorting bias and calibration with a null model, Ecology, 93, 3, (679-688), (2012).
    • , Predicting the distribution of the Asian tapir in Peninsular Malaysia using maximum entropy modeling, Integrative Zoology, 7, 4, (400-406), (2012).
    • , Evolutionary and biogeographical history of an ancient and global group of arachnids (Arachnida: Opiliones: Cyphophthalmi) with a new taxonomic arrangement, Biological Journal of the Linnean Society, 105, 1, (92-130), (2011).
    • , Cryptic diversity within the Moroccan endemic day geckos Quedenfeldtia (Squamata: Gekkonidae): a multidisciplinary approach using genetic, morphological and ecological data, Biological Journal of the Linnean Society, 106, 4, (828-850), (2012).
    • , Predicting to new environments: tools for visualizing model behaviour and impacts on mapped distributions, Diversity and Distributions, 18, 6, (628-634), (2012).
    • , Species distribution modelling as a macroecological tool: a case study using New World amphibians, Ecography, 35, 6, (539-548), (2011).
    • , Projected vegetation changes for the American Southwest: combined dynamic modeling and bioclimatic‐envelope approach, Ecological Applications, 22, 4, (1365-1388), (2012).
    • , Species vulnerability to climate change: impacts on spatial conservation priorities and species representation, Global Change Biology, 18, 7, (2335-2348), (2012).
    • , What determines pine naturalization: species traits, climate suitability or forestry use?, Diversity and Distributions, 18, 10, (1013-1023), (2012).
    • , TEASIng apart alien species risk assessments: a framework for best practices, Ecology Letters, 15, 12, (1475-1493), (2012).
    • , Invasive species distribution models – how violating the equilibrium assumption can create new insights, Global Ecology and Biogeography, 21, 11, (1126-1136), (2012).
    • , Using Maximum Entropy modeling to predict the potential distributions of large trees for conservation planning, Ecosphere, 3, 6, (1-21), (2012).
    • , Where are the survivors? Tracking relictual populations of endangered frogs in Costa Rica, Diversity and Distributions, 18, 2, (204-212), (2011).
    • , Climate change and birds in the forgotten tropics: the importance of tropical dry forests, Ibis, 154, 3, (632-634), (2012).
    • , The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models, Ecography, 35, 3, (250-258), (2012).
    • , Contribution of disturbance to distribution and abundance in a fire‐adapted system, Ecography, 35, 4, (348-355), (2012).
    • , Changes in the large‐scale distribution of plants: extinction, colonisation and the effects of climate, Journal of Ecology, 100, 2, (519-529), (2011).
    • , Do Marmorkrebs, Procambarus fallax f. virginalis, threaten freshwater Japanese ecosystems?, Aquatic Biosystems, 8, 1, (13), (2012).
    • , Ecological and human impacts on stand density and distribution of tamarind (amarindus indica L.) in Senegal, African Journal of Ecology, 50, 3, (253-265), (2012).
    • , Predicting the distribution of Tawny Owl (Strix aluco) at the scale of individual territories in Denmark, Journal of Ornithology, 153, 3, (677), (2012).
    • , The Impact of Global Warming on the Range Distribution of Different Climatic Groups ofAspidoscelis costata costata, Zoological Science, 29, 12, (834), (2012).
    • , Three-dimensional characterization of pine forest type and red-cockaded woodpecker habitat by small-footprint, discrete-return lidar, Forest Ecology and Management, 10.1016/j.foreco.2012.06.020, 281, (100-110), (2012).
    • , Iterative species distribution modelling and ground validation in endemism research: an Alpine jumping bristletail example, Biodiversity and Conservation, 10.1007/s10531-012-0341-z, 21, 11, (2845-2863), (2012).
    • , Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire, PLoS ONE, 7, 3, (e33954), (2012).
    • , Comparing Habitat Suitability and Connectivity Modeling Methods for Conserving Pronghorn Migrations, PLoS ONE, 7, 11, (e49390), (2012).
    • , Air travel and vector-borne disease movement, Parasitology, 139, 14, (1816), (2012).
    • , Predictive model of distribution ofAtta robustaBorgmeier 1939 (Hymenoptera: Formicidae): subsidies for conservation of a Brazilian leaf-cutting ant endangered species, Studies on Neotropical Fauna and Environment, 47, 3, (193), (2012).
    • , Modelling the Geographical Range of a Species with Variable Life-History, PLoS ONE, 7, 7, (e40313), (2012).
    • , Habitat suitability modelling for species at risk is sensitive to algorithm and scale: A case study of Blanding's turtle, Emydoidea blandingii, in Ontario, Canada, Journal for Nature Conservation, 20, 1, (18), (2012).
    • , Nest-site preferences of Eleonora’s Falcon (Falco eleonorae) on uninhabited islets of the Aegean Sea using GIS and species distribution models, Journal of Ornithology, 153, 3, (663), (2012).
    • , Identifying transit corridors for elephant using a long time-series, International Journal of Applied Earth Observation and Geoinformation, 10.1016/j.jag.2011.08.006, 14, 1, (61-72), (2012).
    • , The importance of defining the geographic distribution of species for conservation: The case of the Bearded Wood-Partridge, Journal for Nature Conservation, 20, 1, (10), (2012).
    • 2012 Conference on Intelligent Data Understanding (CIDU) Boulder, CO, USA 2012 Conference on Intelligent Data Understanding IEEE , (2012). 978-1-4673-4627-6 978-1-4673-4625-2 978-1-4673-4626-9 Species distribution modeling and prediction: A class imbalance problem , (2012). 9 16 6382186 , 10.1109/CIDU.2012.6382186 http://ieeexplore.ieee.org/document/6382186/
    • , Potential Geographic Distribution of Brown Marmorated Stink Bug Invasion (Halyomorpha halys), PLoS ONE, 7, 2, (e31246), (2012).
    • , Predictive Modeling and Mapping of Malayan Sun Bear (Helarctos malayanus) Distribution Using Maximum Entropy, PLoS ONE, 7, 10, (e48104), (2012).
    • , Can geodiversity be predicted from space?, Geomorphology, 153-154, (74), (2012).
    • , Predicting the Potential Worldwide Distribution of the Red Palm WeevilRhynchophorus ferrugineus(Olivier) (Coleoptera: Curculionidae) using Ecological Niche Modeling, Florida Entomologist, 95, 3, (659), (2012).
    • , Modeling of Wildlife-Associated Zoonoses: Applications and Caveats, Vector-Borne and Zoonotic Diseases, 12, 12, (1005), (2012).
    • , Modelling native fish richness to evaluate the effects of hydromorphological changes and river restoration (Júcar River Basin, Spain), Science of The Total Environment, 10.1016/j.scitotenv.2012.07.093, 440, (95-105), (2012).
    • , Biogeography and conservation of Andean and Trans-Andean populations of Pyrrhura parakeets in Colombia: Modelling geographic distributions to identify independent conservation units, Bird Conservation International, 22, 04, (445), (2012).
    • , Species delimitation, bioclimatic range, and conservation status of the threatened lichen Fuscopannaria confusa, The Lichenologist, 44, 05, (565), (2012).
    • , Niche conservatism in the Mesoamerican seasonal tropical dry forest orchid Barkeria (Orchidaceae), Evolutionary Ecology, 10.1007/s10682-011-9528-0, 26, 4, (991-1010), (2011).
    • , A North European pollen–climate calibration set: analysing the climatic responses of a biological proxy using novel regression tree methods, Quaternary Science Reviews, 45, (95), (2012).
    • , Modelling commercial fish distributions: Prediction and assessment using different approaches, Ecological Modelling, 225, (133), (2012).
    • , Potential feeding habitat of fin whales in the western Mediterranean Sea: an environmental niche model, Marine Ecology Progress Series, 464, (289), (2012).
    • , Use of Arthropod Rarity for Area Prioritisation: Insights from the Azorean Islands, PLoS ONE, 7, 3, (e33995), (2012).
    • , Modeling the relationship of Antarctic minke whales to major ocean boundaries, Polar Biology, 35, 2, (281), (2012).
    • , Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds, Biological Conservation, 156, (94), (2012).
    • , Three methods for modelling potential natural vegetation (PNV) compared: A methodological case study from south-central Norway, Norsk Geografisk Tidsskrift - Norwegian Journal of Geography, 10.1080/00291951.2011.644321, 66, 1, (11-29), (2012).
    • , Sampling bias in geographic and environmental space and its effect on the predictive power of species distribution models, Systematics and Biodiversity, 10.1080/14772000.2012.705357, 10, 3, (305-315), (2012).
    • , The Roles of Dispersal, Fecundity, and Predation in the Population Persistence of an Oak (Quercus engelmannii) under Global Change, PLoS ONE, 7, 5, (e36391), (2012).
    • , Uncertainty in predictions of range dynamics: black grouse climbing the Swiss Alps, Ecography, 35, 7, (590-603), (2011).
    • , Population Distribution, Settlement Patterns and Accessibility across Africa in 2010, PLoS ONE, 7, 2, (e31743), (2012).
    • , Species distribution models, Progress in Physical Geography: Earth and Environment, 10.1177/0309133312442522, 36, 5, (681-692), (2012).
    • , Why Do Species Co-Occur? A Test of Alternative Hypotheses Describing Abiotic Differences in Sympatry versus Allopatry Using Spadefoot Toads, PLoS ONE, 7, 3, (e32748), (2012).
    • , Modeling plant species richness using reflectance and texture data derived from QuickBird in a recently burned area of Central Spain, Remote Sensing of Environment, 119, (208), (2012).
    • , Common dolphin (Delphinus delphis) habitat preferences using data from two platforms of opportunity, Acta Oecologica, 38, (24), (2012).
    • , Brazilian peppertree (Schinus terebinthifolius) in Florida and South America: evidence of a possible niche shift driven by hybridization, Biological Invasions, 14, 7, (1415), (2012).
    • , Selecting Suitable Habitats for Reintroductions: Variation, Change and the Role of Species Distribution Modelling, Reintroduction Biology, (73-104), (2012).
    • , Support vector machines to model presence/absence of Alburnus alburnus alborella (Teleostea, Cyprinidae) in North-Western Italy: Comparison with other machine learning techniques, Comptes Rendus Biologies, 335, 10-11, (680), (2012).
    • , Predicting the impact of climate change on the invasive decapods of the Iberian inland waters: an assessment of reliability, Biological Invasions, 14, 8, (1737), (2012).
    • , Spatial characteristics and species niche attributes modulate the response by aquatic passive dispersers to habitat degradation, Marine and Freshwater Research, 63, 3, (232), (2012).
    • , Understanding the Impacts of Land-Use Policies on a Threatened Species: Is There a Future for the Bornean Orang-utan?, PLoS ONE, 7, 11, (e49142), (2012).
    • , Ecological Niche Conservatism in Doucs (Genus Pygathrix), International Journal of Primatology, 33, 4, (972), (2012).
    • , Predicting the risk of wild boar damage to rice paddies using presence-only data in Chiba Prefecture, Japan, International Journal of Pest Management, 58, 1, (65), (2012).
    • , Identification of Chinese plague foci from long-term epidemiological data, Proceedings of the National Academy of Sciences, 10.1073/pnas.1110585109, 109, 21, (8196-8201), (2012).
    • , Opuntia in México: Identifying Priority Areas for Conserving Biodiversity in a Multi-Use Landscape, PLoS ONE, 7, 5, (e36650), (2012).
    • , Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi–Sugeno fuzzy system, Environmental Monitoring and Assessment, 184, 10, (6159), (2012).
    • , Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India, International Journal of Wildland Fire, 10.1071/WF10109, 21, 4, (368), (2012).
    • , Distribution Patterns of Bats in the Eastern Mediterranean Region Through a Climate Change Perspective, Acta Chiropterologica, 14, 2, (425), (2012).
    • , Range prediction for the Giant Fruit-Eating Bat,Artibeus amplus(Phyllostomidae: Stenodermatinae) in South America, Studies on Neotropical Fauna and Environment, 47, 2, (87), (2012).
    • , Modeling the Potential Geographic Distribution of Black Pepper (Piper nigrum) in Asia Using GIS Tools, Journal of Integrative Agriculture, 11, 4, (593), (2012).
    • , Incorporating uncertainty in predictive species distribution modelling, Philosophical Transactions of the Royal Society B: Biological Sciences, 367, 1586, (247), (2012).
    • , Equilibrium of Global Amphibian Species Distributions with Climate, PLoS ONE, 7, 4, (e34420), (2012).
    • , Predicting the potential distribution of the beaded lizard and identification of priority areas for conservation, Journal for Nature Conservation, 20, 4, (247), (2012).
    • , Developing physical surrogates for benthic biodiversity using co-located samples and regression tree models: a conceptual synthesis for a sandy temperate embayment, International Journal of Geographical Information Science, 10.1080/13658816.2012.658808, 26, 11, (2141-2160), (2012).
    • , Landscape Epidemiology of Emerging Infectious Diseases in Natural and Human-Altered Ecosystems, Annual Review of Phytopathology, 10.1146/annurev-phyto-081211-172938, 50, 1, (379-402), (2012).
    • , Extremes: understanding flower-visitor interactions in a changing climate, Wildlife and Climate Change, 10.7882/FS.2012.016, (99-106), (2015).
    • , Potential Impacts of Climate Change on Ecosystem Services in Europe: The Case of Pest Control by Vertebrates, BioScience, 62, 7, (658), (2012).
    • , Climatic Associations of British Species Distributions Show Good Transferability in Time but Low Predictive Accuracy for Range Change, PLoS ONE, 7, 7, (e40212), (2012).
    • , A GIS framework for the refinement of species geographic ranges, International Journal of Geographical Information Science, 26, 1, (39), (2012).
    • , Conservation and climate change: Assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya, Biological Conservation, 10.1016/j.biocon.2012.03.001, 150, 1, (129-135), (2012).
    • , Comparison of classification-then-modelling and species-by-species modelling for predicting lake phytoplankton assemblages, Ecological Modelling, 231, (11), (2012).
    • , Identifying priority areas for island endemics using genetic versus specific diversity – The case of terrestrial reptiles of the Cape Verde Islands, Biological Conservation, 153, (276), (2012).
    • , Predicting patch occupancy in fragmented landscapes at the rangewide scale for an endangered species: an example of an American warbler, Diversity and Distributions, 18, 2, (158-167), (2011).
    • , The climatic suitability for maize cultivation in China, Chinese Science Bulletin, 10.1007/s11434-011-4807-2, 57, 4, (395-403), (2011).
    • , Coexistence of Abies alba (Mill.) – Fagus sylvatica (L.) and climate change impact in the Iberian Peninsula: A climatic-niche perspective approach, Flora - Morphology, Distribution, Functional Ecology of Plants, 207, 1, (10), (2012).
    • , Integrating local breeding pond, landcover, and climate factors in predicting amphibian distributions, Landscape Ecology, 27, 8, (1183), (2012).
    • , Systemic range shift lags among a pollinator species assemblage following rapid climate change1This article is part of a Special Issue entitled “Pollination biology research in Canada: Perspectives on a mutualism at different scales”., Botany, 90, 7, (587), (2012).
    • , Distribution of cryptic blue oat mite species in Australia: current and future climate conditions, Agricultural and Forest Entomology, 14, 2, (127-137), (2011).
    • , Assessing the Distributions and Potential Risks from Climate Change for the Sichuan Jay (Perisoreus internigrans), The Condor, 114, 2, (365), (2012).
    • , A Predictive Spatial Model to Quantify the Risk of Air-Travel-Associated Dengue Importation into the United States and Europe, Journal of Tropical Medicine, 2012, (1), (2012).
    • , Limited potential for adaptation to climate change in a broadly distributed marine crustacean, Proceedings of the Royal Society B: Biological Sciences, 279, 1727, (349), (2012).
    • , Modeling the potential area of occupancy at fine resolution may reduce uncertainty in species range estimates, Biological Conservation, 147, 1, (190), (2012).
    • , Plant and animal endemism in the eastern Andean slope: challenges to conservation, BMC Ecology, 12, 1, (1), (2012).
    • , Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis, Brazilian Journal of Biology, 72, 4, (821), (2012).
    • , Predicting fish community properties within estuaries: Influence of habitat type and other environmental features, Estuarine, Coastal and Shelf Science, 107, (22), (2012).
    • , Effects of land-cover transformation and climate change on the distribution of two endemic lizards, Crotaphytus antiquus and Sceloporus cyanostictus, of northern Mexico, Journal of Arid Environments, 83, (1), (2012).
    • , Estimating detection probability for Canada lynxLynx canadensisusing snow-track surveys in the northern Rocky Mountains, Montana, USA, Wildlife Biology, 18, 2, (215), (2012).
    • , Potential Distribution of the American Bullfrog (Lithobates Catesbeianus) in Ecuador, South American Journal of Herpetology, 7, 2, (85), (2012).
    • , Potential distribution range of invasive plant species in Spain, NeoBiota, 12, (25), (2012).
    • , The vegetation of Malilangwe Wildlife Reserve, south-eastern Zimbabwe, African Journal of Range & Forage Science, 10.2989/10220119.2012.744352, 29, 3, (109-131), (2012).
    • , Biome specificity of distinct genetic lineages within the four-striped mouse Rhabdomys pumilio (Rodentia: Muridae) from southern Africa with implications for taxonomy, Molecular Phylogenetics and Evolution, 65, 1, (75), (2012).
    • , Species distribution modelling of benthic invertebrates in the south-eastern Baltic Sea, Baltica, 10.5200/baltica.2012.25.16, 25, 2, (163-170), (2012).
    • , Assessing the effects of climate change on the distribution of pulmonate freshwater snail biodiversity, Marine Biology, 159, 11, (2519), (2012).
    • , A redescription of the leggiest animal, the millipede Illacme plenipes, with notes on its natural history and biogeography (Diplopoda, Siphonophorida, Siphonorhinidae), ZooKeys, 241, (77), (2012).
    • , Using species distribution modeling to set management priorities for mammals in northern Thailand, Journal for Nature Conservation, 10.1016/j.jnc.2012.05.002, 20, 5, (264-273), (2012).
    • , Occurrence and abundance models of threatened plant species: Applications to mitigate the impact of hydroelectric power dams, Ecological Modelling, 230, (22), (2012).
    • , A GIS Model Predicting Potential Distributions of a Lineage: A Test Case on Hermit Spiders (Nephilidae: Nephilengys), PLoS ONE, 7, 1, (e30047), (2012).
    • , Variation in niche and distribution model performance: The need for a priori assessment of key causal factors, Ecological Modelling, 237-238, (11), (2012).
    • , Young-of-the-year fish assemblages as indicators of anthropogenic disturbances in large tributaries of the Seine River Basin (France), Hydrobiologia, 10.1007/s10750-012-1135-8, 694, 1, (99-116), (2012).
    • , Dealing with Noisy Absences to Optimize Species Distribution Models: An Iterative Ensemble Modelling Approach, PLoS ONE, 7, 11, (e49508), (2012).
    • , Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management, Journal of Sea Research, 72, (1), (2012).
    • , Protecting Persistent Dynamic Oceanographic Features: Transboundary Conservation Efforts Are Needed for the Critically Endangered Balearic Shearwater, PLoS ONE, 7, 5, (e35728), (2012).
    • , Climate change-driven species' range shifts filtered by photoperiodism, Nature Climate Change, 2, 4, (239), (2012).
    • , Towards High-Resolution Habitat Suitability Modeling of Vulnerable Marine Ecosystems in the Deep-Sea: Resolving Terrain Attribute Dependencies, Marine Geodesy, 35, 4, (343), (2012).
    • , High-resolution niche models via a correlative approach: Comparing and combining correlative and process-based information, Ecological Modelling, 10.1016/j.ecolmodel.2012.04.017, 237-238, (63-73), (2012).
    • , Does adding multi-scale climatic variability improve our capacity to explain niche transferability in invasive species?, Ecological Modelling, 246, (60), (2012).
    • , Challenges in predicting the future distributions of invasive plant species, Forest Ecology and Management, 284, (69), (2012).
    • , Point count duration: five minutes are usually sufficient to model the distribution of bird species and to study the structure of communities for a French landscape, Journal of Ornithology, 10.1007/s10336-011-0766-2, 153, 2, (491-504), (2011).
    • , Large-scale distribution analysis of Antarctic echinoids using ecological niche modelling, Marine Ecology Progress Series, 463, (215), (2012).
    • , Coexistence of mesopredators in an intact polar ocean ecosystem: The basis for defining a Ross Sea marine protected area, Biological Conservation, 10.1016/j.biocon.2011.11.017, 156, (72-82), (2012).
    • , Which environmental variables should I use in my biodiversity model?, International Journal of Geographical Information Science, 10.1080/13658816.2012.698015, 26, 11, (2009-2047), (2012).
    • , Effects of spatial scale and choice of statistical model (linear versus tree-based) on determining species–habitat relationships, Canadian Journal of Fisheries and Aquatic Sciences, 69, 12, (2095), (2012).
    • , Bioclimatic equilibrium for lichen distributions on disjunct continental landmasses, Botany, 90, 12, (1316), (2012).
    • , Influence of positional accuracy, sample size and scale on modelling species distributions: a review, International Journal of Geographical Information Science, 10.1080/13658816.2012.721553, 26, 11, (2083-2095), (2012).
    • , Searching for Euglossa cyanochlora Moure, 1996 (Hymenoptera: Apidae), one of the rarest bees in the world, Journal of Insect Conservation, 16, 5, (745), (2012).
    • , Impacts of predictor variables and species models on simulating Tamarix ramosissima distribution in Tarim Basin, northwestern China, Journal of Plant Ecology, 5, 3, (337), (2012).
    • , The potential distribution of Grimmia (Grimmiaceae) in Mexico, The Bryologist, 115, 1, (12), (2012).
    • , Prediction of stream fish assemblages from land use characteristics: implications for cost-effective design of monitoring programmes, Environmental Monitoring and Assessment, 184, 3, (1435), (2012).
    • , Comparing Predicted Historical Distributions of Tree Species Using Two Tree-based Ensemble Classification Methods, The American Midland Naturalist, 168, 2, (443), (2012).
    • , Study of climate change and field research in zoology: are they compatible with research student training programs?, Wildlife and Climate Change, 10.7882/FS.2012.023, (169-174), (2015).
    • , Habitat selection of the Ortolan bunting Emberiza hortulana in Poland: predictions from large‐scale habitat elements, Ecological Research, 27, 2, (347-355), (2011).
    • , Species-specific habitat fragmentation assessment, considering the ecological niche requirements and dispersal capability, Biological Conservation, 10.1016/j.biocon.2012.04.004, 152, (102-109), (2012).
    • , Using Ecological Niche Modelling to Predict Spatial and Temporal Distribution Patterns in Chinese Gibbons: Lessons from the Present and the Past, Folia Primatologica, 83, 2, (85), (2012).
    • , A software framework for classification models of geographical data, Computers & Geosciences, 42, (47), (2012).
    • 2012 20th International Conference on Geoinformatics Hong Kong, China 2012 20th International Conference on Geoinformatics IEEE , (2012). 978-1-4673-1104-5 978-1-4673-1103-8 978-1-4673-1102-1 Predicting the potential distribution of bamboo with species distribution models , (2012). 1 4 6270307 , 10.1109/Geoinformatics.2012.6270307 http://ieeexplore.ieee.org/document/6270307/
    • , Estimating the influence of land management change on weed invasion potential using expert knowledge, Diversity and Distributions, 18, 8, (818-831), (2011).
    • , Status and conservation ofSilenesectionCordifoliain the Iberian Peninsula: a menaced group under global environmental change, Plant Ecology & Diversity, 5, 1, (45), (2012).
    • , Endangered Grevy’s zebra in the Alledeghi Wildlife Reserve, Ethiopia: species distribution modeling for the determination of optimum habitat, Endangered Species Research, 17, 3, (237), (2012).
    • , Landscape genetics of a recent population extirpation in a burnet moth species, Conservation Genetics, 13, 1, (247), (2012).
    • , Correlated Genetic and Ecological Diversification in a Widespread Southern African Horseshoe Bat, PLoS ONE, 7, 2, (e31946), (2012).
    • , Environmental correlates and co-occurrence of three mitochondrial lineages of striped mice (Rhabdomys) in the Free State Province (South Africa), Acta Oecologica, 42, (30), (2012).
    • , Ontogenetic habitat associations of a demersal fish species, Pagrus auratus, identified using boosted regression trees, Marine Ecology Progress Series, 462, (219), (2012).
    • , Spatial Factors and Management Associated with Livestock Predations by Puma concolor in Central Mexico, Human Ecology, 40, 4, (631), (2012).
    • , How can statistical models help to determine driving factors of landslides?, Ecological Modelling, 10.1016/j.ecolmodel.2011.12.007, 239, (27-39), (2012).
    • , Modeling Impacts of Climate Change on Giant Panda Habitat, International Journal of Ecology, 2012, (1), (2012).
    • , Using niche models with climate projections to inform conservation management decisions, Biological Conservation, 155, (149), (2012).
    • , Do species distribution models predict species richness in urban and natural green spaces? A case study using amphibians, Landscape and Urban Planning, 107, 4, (409), (2012).
    • , Integrating molecular ecology and predictive modelling: implications for the conservation of the barbastelle bat (Barbastella barbastellus) in Portugal, European Journal of Wildlife Research, 58, 4, (721), (2012).
    • , Developing biodiverse plantings suitable for changing climatic conditions 1: Underpinning scientific methods, Ecological Management & Restoration, 13, 3, (267-273), (2012).
    • , The usefulness of elevation as a predictor variable in species distribution modelling, Ecological Modelling, 246, (86), (2012).
    • , Distribution of Testudo graeca in the western Mediterranean according to climatic factors, Amphibia-Reptilia, 33, 2, (285), (2012).
    • , Predicting the Current and Future Potential Distributions of Lymphatic Filariasis in Africa Using Maximum Entropy Ecological Niche Modelling, PLoS ONE, 7, 2, (e32202), (2012).
    • , Modeling the potential geographic distribution of five species of Metzgeria Raddi in Brazil, aiming at their conservation, The Bryologist, 115, 2, (341), (2012).
    • , Improving Risk Models for Avian Influenza: The Role of Intensive Poultry Farming and Flooded Land during the 2004 Thailand Epidemic, PLoS ONE, 7, 11, (e49528), (2012).
    • , Ecogeographic isolation: a reproductive barrier between species and between cytotypes in Houstonia (Rubiaceae), Evolutionary Ecology, 26, 4, (909), (2012).
    • , High resolution species distribution models of two nesting water bird species: a study of transferability and predictive performance, Landscape Ecology, 27, 4, (545), (2012).
    • , Habitat at the mountain tops: how long can Rock Ptarmigan (Lagopus muta helvetica) survive rapid climate change in the Swiss Alps? A multi-scale approach, Journal of Ornithology, 10.1007/s10336-012-0819-1, 153, 3, (891-905), (2012).
    • , Integrating fundamental concepts of ecology, biogeography, and sampling into effective ecological niche modeling and species distribution modeling, Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 146, 4, (789), (2012).
    • , Forecasting cloud forest in eastern and southern Mexico: conservation insights under future climate change scenarios, Biodiversity and Conservation, 21, 10, (2671), (2012).
    • , Habitat distribution modelling for reintroduction of Ilex khasiana Purk., a critically endangered tree species of northeastern India, Ecological Engineering, 40, (37), (2012).
    • , Combining citizen science, bioclimatic envelope models and observed habitat preferences to determine the distribution of an inconspicuous, recently detected introduced bee (Halictus smaragdulus Vachal Hymenoptera: Halictidae) in Australia, Biological Invasions, 14, 3, (515), (2012).
    • , Using habitat suitability models to predict changes in seagrass distribution caused by water management practices1This article is derived from a special session entitled “A New Hydrology: Inflow Effects on Ecosystem Form and Functioning” that took place at the February 2011 ASLO Aquatic Sciences conference in San Juan, Puerto Rico., Canadian Journal of Fisheries and Aquatic Sciences, 69, 8, (1380), (2012).
    • , Improving Wetland Mitigation Site Identification Through Community Distribution Modeling and a Patch-Based Ranking Scheme, Wetlands, 10.1007/s13157-012-0315-7, 32, 5, (841-850), (2012).
    • , Spatial predictions of sea surface dimethylsulfide concentrations in the high arctic, Biogeochemistry, 10.1007/s10533-011-9683-y, 110, 1-3, (287-301), (2012).
    • , Alien Plant Invasions in India: Current Status and Management Challenges, Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, (2012).
    • , The performance of range maps and species distribution models representing the geographic variation of species richness at different resolutions, Global Ecology and Biogeography, 21, 9, (935), (2012).
    • , Do Stacked Species Distribution Models Reflect Altitudinal Diversity Patterns?, PLoS ONE, 7, 3, (e32586), (2012).
    • , Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders, Science, 335, 6074, (1344), (2012).
    • , Pseudo-absences, pseudo-models and pseudo-niches: pitfalls of model selection based on the area under the curve, International Journal of Geographical Information Science, 26, 11, (2049), (2012).
    • , Mapping from heterogeneous biodiversity monitoring data sources, Biodiversity and Conservation, 21, 11, (2927), (2012).
    • , Discovery of Two New Localities for Todd's ParakeetPyrrhura picta caeruleicepsUsing Distribution Models: Enhancing Knowledge of a Little Known Neotropical Bird, Ardeola, 59, 2, (237), (2012).
    • , Mapping eastern hemlock: Comparing classification techniques to evaluate susceptibility of a fragmented and valued resource to an exotic invader, the hemlock woolly adelgid, Forest Ecology and Management, 266, (216), (2012).
    • , The effect of species geographical distribution estimation methods on richness and phylogenetic diversity estimates, International Journal of Geographical Information Science, 26, 11, (2097), (2012).
    • , Species distribution modeling of storm-petrels (Oceanodroma furcata and O. leucorhoa) in the North Pacific and the role of dimethyl sulfide, Polar Biology, 10.1007/s00300-012-1207-2, 35, 11, (1669-1680), (2012).
    • , Species’ Geographic Distributions Through Time: Playing Catch-up with Changing Climates, Evolution: Education and Outreach, 5, 4, (569), (2012).
    • , Hunting of Sumatran orang-utans and its importance in determining distribution and density, Biological Conservation, 146, 1, (163), (2012).
    • , Comparison of six correlative models in predictive vegetation mapping on a local scale, Environmental and Ecological Statistics, 19, 3, (437), (2012).
    • , Identification of de facto protected areas in boreal Canada, Biological Conservation, 10.1016/j.biocon.2011.11.029, 146, 1, (97-107), (2012).
    • , Livestock Helminths in a Changing Climate: Approaches and Restrictions to Meaningful Predictions, Animals, 2, 4, (93), (2012).
    • , Prioritizing species for conservation planning, Biodiversity and Conservation, 21, 4, (875), (2012).
    • , Developing cost-effective early detection networks for regional invasions, Biological Invasions, 14, 12, (2461), (2012).
    • , Holocene climate variability in the Levant from the Dead Sea pollen record, Quaternary Science Reviews, 49, (95), (2012).
    • , Empirical mapping of suitability to dengue fever in Mexico using species distribution modeling, Applied Geography, 33, (82), (2012).
    • , Integration of distance, direction and habitat into a predictive migratory movement model for blue-winged teal (Anas discors), Ecological Modelling, 224, 1, (25), (2012).
    • , Species Distribution Models and Ecological Suitability Analysis for Potential Tick Vectors of Lyme Disease in Mexico, Journal of Tropical Medicine, 2012, (1), (2012).
    • , Predicting the potential threat of Casuarina equisetifolia to three endemic plant species on the Turks and Caicos Islands, Oryx, 46, 02, (204), (2012).
    • , The Limiting of Climatic Factors and Predicting of Suitable Habitat for Citrus Gummy Bark Disease Occurrence using GIS, International Journal of Virology, 8, 2, (165), (2012).
    • , A simple post-hoc method to add spatial context to predictive species distribution models, Ecological Modelling, 228, (17), (2012).
    • , Refugia and geographic barriers of populations of the desert poppy, Hunnemannia fumariifolia (Papaveraceae), Organisms Diversity & Evolution, 12, 2, (133), (2012).
    • , Effects of climate, disturbance and soil factors on the potential distribution of Liaotung oak (Quercus wutaishanica Mayr) in China, Ecological Research, 27, 2, (427-436), (2012).
    • , Detecting the potential sympatric range and niche divergence between Asian endemic ungulates of Procapra, Naturwissenschaften, 10.1007/s00114-012-0933-1, 99, 7, (553-565), (2012).
    • , Vulnerability of mires under climate change: implications for nature conservation and climate change adaptation, Biodiversity and Conservation, 10.1007/s10531-011-0206-x, 21, 3, (655-669), (2011).
    • , Modelling Phytophthora disease risk in Austrocedrus chilensis forests of Patagonia, European Journal of Forest Research, 131, 2, (323), (2012).
    • , Development of a quantitative ‘bioassay’ approach for ecosystem mapping, International Journal of Biodiversity Science, Ecosystem Services & Management, 10.1080/21513732.2012.686121, 8, 1-2, (71-79), (2012).
    • , Exploring Macroinvertebrate Species Distributions at Regional and Local Scales across a Sandy Beach Geographic Continuum, PLoS ONE, 7, 6, (e39609), (2012).
    • , Feeding habitat of the whale shark Rhincodon typus in the northern Gulf of Mexico determined using species distribution modelling, Marine Ecology Progress Series, 10.3354/meps09777, 458, (199-211), (2012).
    • , Development of Species Distribution Models and Evaluation of Species Richness in Jirisan region, Journal of Korean Society for Geospatial Information System, 20, 3, (11), (2012).
    • , Suitability of European climate for the Asian tiger mosquito Aedes albopictus: recent trends and future scenarios, Journal of The Royal Society Interface, 9, 75, (2708), (2012).
    • , Predicted Distribution of Major Malaria Vectors Belonging to the Anopheles dirus Complex in Asia: Ecological Niche and Environmental Influences, PLoS ONE, 7, 11, (e50475), (2012).
    • , Geographic Distribution of Chagas Disease Vectors in Brazil Based on Ecological Niche Modeling, Journal of Tropical Medicine, 2012, (1), (2012).
    • , Mapping Genetic Diversity of Cherimoya (Annona cherimola Mill.): Application of Spatial Analysis for Conservation and Use of Plant Genetic Resources, PLoS ONE, 7, 1, (e29845), (2012).
    • , Species Distribution Modelling of Family Sapindaceae in West Africa, International Journal of Botany, 8, 1, (45), (2012).
    • , Using ecological niche modeling to predict the distributions of two endangered amphibian species in aquatic breeding sites, Hydrobiologia, 693, 1, (157), (2012).
    • , Low levels of climate niche conservatism may explain clade diversity patterns in the South African genus Pelargonium (Geraniaceae), American Journal of Botany, 99, 5, (954-960), (2012).
    • , Association between the geographic distribution during the last glacial maximum of Asian wild rice, Oryza rufipogon (Poaceae), and its current genetic variation, American Journal of Botany, 99, 11, (1866-1874), (2012).
    • , Modelled distributions of ten demersal elasmobranchs of the eastern English Channel in relation to the environment, Journal of Experimental Marine Biology and Ecology, 10.1016/j.jembe.2012.03.010, 418-419, (91-103), (2012).
    • , Species Distribution Modeling for Conservation of Rare, Edaphic Endemic Plants in White River Valley, Nevada, Natural Areas Journal, 32, 2, (149), (2012).
    • , Invasão biológica de Artocarpus heterophyllus Lam. (Moraceae) em um fragmento de Mata Atlântica no Nordeste do Brasil: impactos sobre a fitodiversidade e os solos dos sítios invadidos, Acta Botanica Brasilica, 26, 2, (399), (2012).
    • , Modeling alpine plant distributions at the landscape scale: Do biotic interactions matter?, Ecological Modelling, 10.1016/j.ecolmodel.2012.01.021, 231, (1-10), (2012).
    • , DO ABSENCE DATA MATTER WHEN MODELLING FISH HABITAT PREFERENCE USING A GENETIC TAKAGI-SUGENO FUZZY MODEL?, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20, supp02, (233), (2012).
    • , Climatic and Environmental Effects on Distribution of Narrow Range Plants, Journal of the Korea Society of Environmental Restoration Technology, 15, 6, (17), (2012).
    • , Testing a novel spatially-explicit dynamic modelling approach in the scope of the laurel forest management for the endangered Azores bullfinch (Pyrrhula murina) conservation, Biological Conservation, 147, 1, (243), (2012).
    • , Epistemic uncertainty in predicting shorebird biogeography affected by sea-level rise, Ecological Modelling, 10.1016/j.ecolmodel.2012.04.012, 240, (1-15), (2012).
    • , Predicting worldwide invasiveness for four major problematic decapods: an evaluation of using different calibration sets, Ecography, 34, 3, (448-459), (2010).
    • , Forecasting the future of biodiversity: a test of single‐ and multi‐species models for ants in North America, Ecography, 34, 5, (836-847), (2011).
    • , Ephemeral Pleistocene woodlands connect the dots for highland rattlesnakes of the Crotalus intermedius group, Journal of Biogeography, 38, 12, (2299-2310), (2011).
    • , Application of species distribution models and conservation planning software to the design of a reserve network for the riverine fishes of northeastern Mesoamerica, Freshwater Biology, 56, 1, (71-88), (2010).
    • , Spatial patterns and ecological drivers of historic piñon–juniper woodland expansion in the American southwest, Ecography, 34, 6, (1085-1095), (2011).
    • , The importance of incorporating imperfect detection in biodiversity assessments: a case study of small mammals in an Australian region, Diversity and Distributions, 17, 4, (613-623), (2011).
    • , When the method for mapping species matters: defining priority areas for conservation of African freshwater turtles, Diversity and Distributions, 17, 4, (581-592), (2011).
    • , Climate change and the African baobab (Adansonia digitata L.): the need for better conservation strategies, African Journal of Ecology, 49, 2, (234-245), (2011).
    • , Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis, Journal of Animal Ecology, 80, 3, (528-538), (2011).
    • , Understanding what controls the spatial distribution of fish populations using a multi‐model approach, Fisheries Oceanography, 20, 1, (1-17), (2010).
    • , Assessing spatial patterns of disease risk to biodiversity: implications for the management of the amphibian pathogen, Batrachochytrium dendrobatidis, Journal of Applied Ecology, 48, 1, (163-173), (2010).
    • , Ecological niche conservatism: a time‐structured review of evidence, Journal of Biogeography, 38, 5, (817-827), (2011).
    • , Towards the modelling of true species distributions, Journal of Biogeography, 38, 4, (617-618), (2011).
    • , Niche shifting in response to warming climate after the last glacial maximum: inference from genetic data and niche assessments in the chisel‐toothed kangaroo rat (ipodomys microps), Global Change Biology, 17, 11, (3486-3502), (2011).
    • , Issues with modelling the current and future distribution of invasive pathogens, Journal of Applied Ecology, 48, 1, (177-180), (2010).
    • , Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling, Journal of Biogeography, 38, 8, (1497-1509), (2011).
    • , Community versus single‐species distribution models for British plants, Journal of Biogeography, 38, 8, (1524-1535), (2011).
    • , Ecological principles of species distribution models: the habitat matching rule, Journal of Biogeography, 38, 11, (2057-2065), (2011).
    • , Tracing the origin of disjunct distributions: a case of biogeographical convergence in Pyrgus butterflies, Journal of Biogeography, 38, 10, (2006-2020), (2011).
    • , Identifying the effects of the Pleistocene on the greater horseshoe bat, Rhinolophus ferrumequinum, in East Asia using ecological niche modelling and phylogenetic analyses, Journal of Biogeography, 38, 3, (439-452), (2010).
    • , Point pattern modelling for degraded presence‐only data over large regions, Journal of the Royal Statistical Society: Series C (Applied Statistics), 60, 5, (757-776), (2011).
    • , Predicting changes in the abundance of African wetland birds by incorporating abundance–occupancy relationships into habitat association models, Diversity and Distributions, 17, 3, (480-490), (2011).
    • , Pine invasions: climate predicts invasion success; something else predicts failure, Diversity and Distributions, 17, 4, (703-713), (2011).
    • , A framework for assessing threats and benefits to species responding to climate change, Methods in Ecology and Evolution, 2, 2, (125-142), (2010).
    • , Distance‐based methods for the analysis of maps produced by species distribution models, Methods in Ecology and Evolution, 2, 6, (623-633), (2011).
    • , Measuring and comparing the accuracy of species distribution models with presence–absence data, Ecography, 34, 2, (232-243), (2010).
    • , Habitat microclimates drive fine‐scale variation in extreme temperatures, Oikos, 120, 1, (1-8), (2010).
    • , Mapping the potential distribution of shorebirds in Japan: the importance of landscape‐level coastal geomorphology, Aquatic Conservation: Marine and Freshwater Ecosystems, 21, 6, (553-563), (2011).
    • , SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages, Journal of Biogeography, 38, 8, (1433-1444), (2011).
    • , The distribution, abundance and life cycle of the pest mites Balaustium medicagoense (Prostigmata: Erythraeidae) and Bryobia spp. (Prostigmata: Tetranychidae) in Australia, Australian Journal of Entomology, 50, 1, (22-36), (2010).
    • , Establishing species' environmental requirements to understand how the southernmost species of South American pitvipers (Bothrops, Viperidae) are distributed: A niche‐based modelling approach, Austral Ecology, 36, 1, (90-98), (2011).
    • , Predicting plant species distribution across an alpine rangeland in northern Spain. A comparison of probabilistic methods, Applied Vegetation Science, 14, 3, (415-432), (2011).
    • , Modelling biome shifts and tree cover change for 2050 in West Africa, Journal of Biogeography, 38, 12, (2248-2258), (2011).
    • , Influence of the landscape on dispersal of sylvatic triatomines to anthropic habitats in the Atlantic Forest, Journal of Biogeography, 38, 4, (651-663), (2010).
    • , Trait‐based risk assessment for invasive species: high performance across diverse taxonomic groups, geographic ranges and machine learning/statistical tools, Diversity and Distributions, 17, 3, (451-461), (2011).
    • , Unprotecting the rare species: a niche‐based gap analysis for odonates in a core Cerrado area, Diversity and Distributions, 17, 3, (491-505), (2011).
    • , Incorporating evolutionary processes into conservation planning using species distribution data: a case study with the western Mediterranean herpetofauna, Diversity and Distributions, 17, 3, (408-421), (2011).
    • , Assessing the environmental requirements of invaders using ensembles of distribution models, Diversity and Distributions, 17, 1, (13-24), (2010).
    • , Predicting potential distribution of the jaguar (Panthera onca) in Mexico: identification of priority areas for conservation, Diversity and Distributions, 17, 2, (350-361), (2011).
    • , Bioclimatic constraints to Andean cat distribution: a modelling application for rare species, Diversity and Distributions, 17, 2, (311-322), (2011).
    • , A statistical explanation of MaxEnt for ecologists, Diversity and Distributions, 17, 1, (43-57), (2010).
    • , Funding begets biodiversity, Diversity and Distributions, 17, 2, (191-200), (2011).
    • , Taxonomic relatedness and spatial structure of a shelf benthic gastropod assemblage, Diversity and Distributions, 17, 1, (25-34), (2010).
    • , Keep collecting: accurate species distribution modelling requires more collections than previously thought, Diversity and Distributions, 17, 6, (1132-1140), (2011).
    • , Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics, Diversity and Distributions, 17, 6, (1099-1110), (2011).
    • , Finessing atlas data for species distribution models, Diversity and Distributions, 17, 6, (1173-1185), (2011).
    • , Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models, Diversity and Distributions, 17, 5, (978-1000), (2011).
    • , Predicting hotspots for red‐listed species: multivariate regression models for oak‐associated beetles, Insect Conservation and Diversity, 4, 1, (53-59), (2010).
    • , A fine‐grained spatial prediction model for the red‐listed vascular plant Scorzonera humilis, Nordic Journal of Botany, 29, 4, (495-504), (2011).
    • , Post‐Pleistocene range expansion of the recently imperiled eastern little brown bat (Myotis lucifugus lucifugus) from a single southern refugium, Ecology and Evolution, 1, 2, (191-200), (2011).
    • , Cryptic speciation in the southern African vlei rat Otomys irroratus complex: evidence derived from mitochondrial cyt b and niche modelling, Biological Journal of the Linnean Society, 104, 1, (192-206), (2011).
    • , Making more out of sparse data: hierarchical modeling of species communities, Ecology, 92, 2, (289-295), (2011).
    • , Evaluating model transferability for a threatened species to adjacent areas: Implications for rock‐wallaby conservation, Austral Ecology, 36, 1, (76-89), (2011).
    • , How to not inflate population estimates? Spatial density distribution of white‐lipped peccaries in a continuous Atlantic forest, Animal Conservation, 14, 5, (492-501), (2011).
    • , Decomposing environmental, spatial, and spatiotemporal components of species distributions, Ecological Monographs, 81, 2, (329-347), (2011).
    • , Ensemble modelling of species distribution: the effects of geographical and environmental ranges, Ecography, 34, 1, (9-17), (2011).
    • , Can we model the probability of presence of species without absence data?, Ecography, 34, 6, (1096-1105), (2011).
    • , Winter distribution and conservation status of the Sierra Nevada great gray owl, The Journal of Wildlife Management, 75, 8, (1678-1687), (2011).
    • , How well does presence‐only‐based species distribution modelling predict assemblage diversity? A case study of the Tenerife flora, Ecography, 34, 1, (31-38), (2011).
    • , The data void in modeling current and future distributions of tropical species, Global Change Biology, 17, 1, (626-630), (2010).
    • , The role of climate, habitat, and species co‐occurrence as drivers of change in small mammal distributions over the past century, Global Change Biology, 17, 2, (696-708), (2011).
    • , Habitat invasion risk assessment based on Landsat 5 data, exemplified by the shrub Rosa rubiginosa in southern Argentina, Austral Ecology, 36, 7, (870-880), (2011).
    • , Species distribution models as a tool for forest management planning under climate change: risk evaluation of Abies alba in Bavaria, Journal of Vegetation Science, 22, 4, (621-634), (2011).
    • , Metapopulation dynamics in the butterfly changed decades before occupancy declined in The Netherlands, Ecological Applications, 21, 7, (2510-2520), (2011).
    • , Does accounting for imperfect detection improve species distribution models?, Ecography, 34, 4, (659-670), (2013).
    • , Historical stability of diversity patterns in African estrildid finches (Aves: Estrildidae)?, Biological Journal of the Linnean Society, 102, 2, (455-470), (2011).
    • , Climate niche shift in invasive species: the case of the brown anole, Biological Journal of the Linnean Society, 104, 4, (943-954), (2011).
    • , Projected changes in elevational distribution and flight performance of montane Neotropical hummingbirds in response to climate change, Global Change Biology, 17, 4, (1671-1680), (2010).
    • , Ranked species occupancy curves reveal common patterns among diverse metacommunities, Global Ecology and Biogeography, 20, 3, (486-497), (2010).
    • , Intra‐specific variability and plasticity influence potential tree species distributions under climate change, Global Ecology and Biogeography, 20, 5, (766-778), (2011).
    • , Environmental and anthropogenic determinants of vegetation distribution across Africa, Global Ecology and Biogeography, 20, 5, (661-674), (2011).
    • , Choice of predictor variables as a source of uncertainty in continental‐scale species distribution modelling under climate change, Global Ecology and Biogeography, 20, 6, (904-914), (2011).
    • , Revisiting the historical distribution of Seasonally Dry Tropical Forests: new insights based on palaeodistribution modelling and palynological evidencegeb, Global Ecology and Biogeography, 20, 2, (272-288), (2010).
    • , Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities, Global Ecology and Biogeography, 20, 6, (789-802), (2011).
    • , Evaluating models to assess the distribution of Buxus balearica in southern Spain, Applied Vegetation Science, 14, 2, (256-267), (2010).
    • , Conservation Assessment of Guaiacum sanctum and Guaiacum coulteri: Historic Distribution and Future Trends in Mexico, Biotropica, 43, 2, (246-255), (2010).
    • , Spatially explicit modeling of conflict zones between wildlife and snow sports: prioritizing areas for winter refuges, Ecological Applications, 21, 3, (955-967), (2011).
    • , Can spatial isolation help predict dispersal‐limited sites for native species restoration?, Ecological Applications, 21, 6, (2119-2128), (2011).
    • , Defining conservation priorities for freshwater fishes according to taxonomic, functional, and phylogenetic diversity, Ecological Applications, 21, 8, (3002-3013), (2011).
    • , Inclusion of habitat availability in species distribution models through multi‐temporal remote‐sensing data?, Ecological Applications, 21, 8, (3285-3298), (2011).
    • , Robust detection of plant species distribution shifts under biased sampling regimes, Ecosphere, 2, 10, (1-23), (2011).
    • , Modeling plant ranges over 75 years of climate change in California, USA: temporal transferability and species traits, Ecological Monographs, 81, 2, (241-257), (2011).
    • , Hypothesis‐driven species distribution models for tree species in the Bavarian Alps, Journal of Vegetation Science, 22, 4, (635-646), (2011).
    • , Using presence‐only and presence–absence data to estimate the current and potential distributions of established invasive species, Journal of Applied Ecology, 48, 1, (25-34), (2010).
    • , Benefits of hyperspectral remote sensing for tracking plant invasions, Diversity and Distributions, 17, 3, (381-392), (2011).
    • , Presence‐only versus presence–absence data in species composition determinant analyses, Diversity and Distributions, 17, 3, (474-479), (2011).
    • , Predicting the subspecific identity of invasive species using distribution models: Acacia saligna as an example, Diversity and Distributions, 17, 5, (1001-1014), (2011).
    • , Applications and future challenges in marine species distribution modeling, Aquatic Conservation: Marine and Freshwater Ecosystems, 21, 1, (92), (2011).
    • 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Taipei, Taiwan 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) IEEE , (2011). 978-1-4244-7315-1 Navigation system of mobile robot in an uncertain environment using type-2 fuzzy modelling , (2011). 1171 1178 6007722 , 10.1109/FUZZY.2011.6007722 http://ieeexplore.ieee.org/document/6007722/
    • , Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA), Environmental Modelling & Software, 26, 7, (929), (2011).
    • , Distributional Changes and Range Predictions of Downy Brome (Bromus tectorum) in Rocky Mountain National Park, Invasive Plant Science and Management, 4, 02, (173), (2011).
    • , Environmental Niche Modeling Reveals Climatic Differences among Breeding Ranges of Orchard Oriole Subspecies, The American Midland Naturalist, 166, 2, (404), (2011).
    • , Performance of predictive models in marine benthic environments based on predictions of sponge distribution on the Australian continental shelf, Ecological Informatics, 6, 3-4, (205), (2011).
    • , Applications of species distribution modeling to paleobiology, Quaternary Science Reviews, 30, 21-22, (2930), (2011).
    • , Relative roles of climatic suitability and anthropogenic influence in determining the pattern of spread in a global invader, Proceedings of the National Academy of Sciences, 108, 1, (220), (2011).
    • , Current Knowledge of Leishmania Vectors in Mexico: How Geographic Distributions of Species Relate to Transmission Areas, The American Journal of Tropical Medicine and Hygiene, 85, 5, (839), (2011).
    • , Modelling climate-change-induced shifts in the distribution of the koala, Wildlife Research, 38, 2, (122), (2011).
    • , Quantifying ecological thresholds from response surfaces, Ecological Modelling, 222, 3, (427), (2011).
    • , Elevational species shifts in a warmer climate are overestimated when based on weather station data, International Journal of Biometeorology, 10.1007/s00484-010-0364-7, 55, 4, (645-654), (2010).
    • , The seven impediments in invertebrate conservation and how to overcome them, Biological Conservation, 144, 11, (2647), (2011).
    • , Geographical Distribution of the Space-Weaving Spider,Chibchea salta, from Northwestern Argentina: New Records and Bioclimatic Modeling, Journal of Insect Science, 11, 54, (1), (2011).
    • , Assessing natural hazards in forestry for risk management: a review, European Journal of Forest Research, 130, 3, (329), (2011).
    • , Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability, Continental Shelf Research, 31, 2, (S17), (2011).
    • , Computational Techniques for Biologic Species Distribution Modeling, Computational Methods for Agricultural Research, 10.4018/978-1-61692-871-1.ch015, (308-325), (2011).
    • , An evaluation of environmental factors affecting species distributions, Ecological Modelling, 222, 3, (524), (2011).
    • , Conservation planning under climate change: Toward accounting for uncertainty in predicted species distributions to increase confidence in conservation investments in space and time, Biological Conservation, 144, 7, (2020), (2011).
    • , Local knowledge and species distribution models’ contribution towards mammalian conservation, Biological Conservation, 10.1016/j.biocon.2011.01.014, 144, 5, (1451-1463), (2011).
    • , Environmental Predictors of the Occurrence of Ground Water Mosquito Immatures in the Paraná Lower Delta, Argentina, Journal of Medical Entomology, 48, 5, (991), (2011).
    • , Global invasion by Anthidium manicatum (Linnaeus) (Hymenoptera: Megachilidae): assessing potential distribution in North America and beyond, Biological Invasions, 13, 9, (2115), (2011).
    • , Species Delimitation under the General Lineage Concept: An Empirical Example Using Wild North American Hops (Cannabaceae: Humulus lupulus), Systematic Biology, 10.1093/sysbio/syq056, 60, 1, (45-59), (2010).
    • , Determining factors that influence the dispersal of a pelagic species: A comparison between artificial neural networks and evolutionary algorithms, Ecological Modelling, 222, 10, (1657), (2011).
    • , A Biogeographic Synthesis of the Amphibians and Reptiles of Indochina, Bulletin of the American Museum of Natural History, 10.1206/360.1, 360, (1-138), (2011).
    • , Maximum entropy modeling of mature hardwood forest distribution in four U.S. states, Forest Ecology and Management, 261, 3, (779), (2011).
    • , Influence of landscape structure on endemic cicadas in New Zealand kiwifruit orchards, Agricultural and Forest Entomology, 13, 3, (259-271), (2010).
    • , Analyzing niche stability and biogeography of Late Ordovician brachiopod species using ecological niche modeling, Palaeogeography, Palaeoclimatology, Palaeoecology, 299, 1-2, (15), (2011).
    • , Predicting the wetland distributions under climate warming in the Great Xing'an Mountains, northeastern China, Ecological Research, 26, 3, (605-613), (2011).
    • , When the species is also a habitat: Comparing the predictively modelled distributions of Lophelia pertusa and the reef habitat it forms, Biological Conservation, 144, 11, (2656), (2011).
    • , Mapping population change index in Southern Serbia (1961–2027) as a function of environmental factors, Computers, Environment and Urban Systems, 35, 1, (35), (2011).
    • , Predicting patterns of richness, occurrence and abundance of small fish in New Zealand estuaries, Marine and Freshwater Research, 10.1071/MF11067, 62, 11, (1327), (2011).
    • , Characterizing Biodiversity in Urban Areas Using Remote Sensing, Urban Remote Sensing, (287-304), (2011).
    • , A process-based approach to estimate lodgepole pine (Pinus contorta Dougl.) distribution in the Pacific Northwest under climate change, Climatic Change, 105, 1-2, (313), (2011).
    • , Modelling climatic suitability and dispersal for disease vectors: the example of a phlebotomine sandfly in Europe, Procedia Environmental Sciences, 7, (164), (2011).
    • , Modeling Potential Distribution of Oligoryzomys longicaudatus, the Andes Virus (Genus: Hantavirus) Reservoir, in Argentina, EcoHealth, 8, 3, (332), (2011).
    • , Current and potential distribution of Myotis simus (Chiroptera, Vespertilionidae), mammalia, 75, 3, (2011).
    • , Prediction of marine species distribution from presence–absence acoustic data: comparing the fitting efficiency and the predictive capacity of conventional and novel distribution models, Hydrobiologia, 670, 1, (241), (2011).
    • , Climate Change and American Bullfrog Invasion: What Could We Expect in South America?, PLoS ONE, 6, 10, (e25718), (2011).
    • , Predicting the potential distribution of an endangered cryptic subterranean mammal from few occurrence records, Journal for Nature Conservation, 19, 2, (87), (2011).
    • , Modelling the distribution and ecology of Trichosolen blooms on coral reefs worldwide, Marine Biology, 10.1007/s00227-011-1729-0, 158, 10, (2239-2246), (2011).
    • , Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent, Ecological Modelling, 222, 15, (2796), (2011).
    • , Fish distribution predictions from different points of view: comparing associative neural networks, geostatistics and regression models, Hydrobiologia, 670, 1, (165), (2011).
    • , Combining Climatic Projections and Dispersal Ability: A Method for Estimating the Responses of Sandfly Vector Species to Climate Change, PLoS Neglected Tropical Diseases, 5, 11, (e1407), (2011).
    • , Quantifying Species' Range Shifts in Relation to Climate Change: A Case Study of Abies spp. in China, PLoS ONE, 6, 8, (e23115), (2011).
    • , Use of niche models in invasive species risk assessments, Biological Invasions, 10.1007/s10530-011-9963-4, 13, 12, (2785-2797), (2011).
    • , A New Cryptic Species of Salamander, Genus Oedipina (Caudata: Plethodontidae), from Premontane Elevations in Northern Nicaragua, with Comments on the Systematic Status of the Nicaraguan Paratypes of O. pseudouniformis Brame, 1968, Breviora, 526, (1), (2011).
    • , Active sonar, beaked whales and European regional policy, Marine Pollution Bulletin, 63, 1-4, (27), (2011).
    • , Niche stability in Late Ordovician articulated brachiopod species before, during, and after the Richmondian Invasion, Palaeogeography, Palaeoclimatology, Palaeoecology, 311, 3-4, (154), (2011).
    • , The invasive Australian redback spider, Latrodectus hasseltii Thorell 1870 (Araneae: Theridiidae): current and potential distributions, and likely impacts, Biological Invasions, 13, 4, (1003), (2011).
    • , A library of georeferenced photos from the field, Eos, Transactions American Geophysical Union, 92, 49, (453-454), (2011).
    • , Prediction of stand quality characteristics in sweet chestnut forests in NW Spain by combining terrain attributes, spectral textural features and landscape metrics, Forest Ecology and Management, 261, 11, (1962), (2011).
    • , Anthropogenic renourishment feedback on shorebirds: A multispecies Bayesian perspective, Ecological Engineering, 37, 8, (1184), (2011).
    • , Combining genetic structure and ecological niche modeling to establish units of conservation: A case study of an imperiled salamander, Biological Conservation, 10.1016/j.biocon.2011.01.013, 144, 5, (1441-1450), (2011).
    • , Influence of different species range types on the perception of macroecological patterns, Systematics and Biodiversity, 9, 2, (159), (2011).
    • , Uncertainties in projecting spatial distributions of marine populations, ICES Journal of Marine Science, 68, 6, (1045), (2011).
    • , The baobab tree in Malawi, Fruits, 66, 6, (405), (2011).
    • , Modelling the potential winter distribution of the endangered Black-capped Vireo ( Vireo atricapilla), Bird Conservation International, 21, 01, (92), (2011).
    • , Geospatial tools address emerging issues in spatial ecology: a review and commentary on the Special Issue, International Journal of Geographical Information Science, 10.1080/13658816.2011.554296, 25, 3, (337-365), (2011).
    • , Ecoregionalization of myctophid fish in the Indian sector of the Southern Ocean: Results from generalized dissimilarity models, Deep Sea Research Part II: Topical Studies in Oceanography, 10.1016/j.dsr2.2010.09.007, 58, 1-2, (170-180), (2011).
    • , Threats to cassava production: known and potential geographic distribution of four key biotic constraints, Food Security, 3, 3, (329), (2011).
    • , Effects of geographical data sampling bias on habitat models of species distributions: a case study with steppe birds in southern Portugal, International Journal of Geographical Information Science, 25, 3, (439), (2011).
    • , Challenges for biodiversity research in Europe, Procedia - Social and Behavioral Sciences, 13, (83), (2011).
    • , Geographic distribution and phenetic skull variation in two close species of Graomys (Rodentia, Cricetidae, Sigmodontinae), Zoologischer Anzeiger - A Journal of Comparative Zoology, 250, 3, (175), (2011).
    • , A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks, Ecological Modelling, 222, 15, (2606), (2011).
    • , Lizards as conservation targets in Argentinean Patagonia, Journal for Nature Conservation, 19, 1, (60), (2011).
    • , Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution Models: Application to Diabrotica virgifera virgifera, PLoS ONE, 6, 6, (e20957), (2011).
    • , Spatial modelling of disease using data- and knowledge-driven approaches, Spatial and Spatio-temporal Epidemiology, 2, 3, (125), (2011).
    • , Scale- and resolution-invariance of suitable geographic range for shorebird metapopulations, Ecological Complexity, 8, 4, (364), (2011).
    • , Application of Estuarine and Coastal Classifications in Marine Spatial Management, Treatise on Estuarine and Coastal Science, 10.1016/B978-0-12-374711-2.00110-8, (163-205), (2011).
    • , Comparison of fixed and focal point seed transfer systems for reforestation and assisted migration: a case study for interior spruce in British Columbia, Canadian Journal of Forest Research, 41, 7, (1452), (2011).
    • , Simulating potential effects of climatic warming on altitudinal patterns of key species in Mediterranean-alpine ecosystems, Climatic Change, 10.1007/s10584-010-0015-3, 108, 3, (471-483), (2011).
    • , Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations, Global Change Biology, 17, 1, (194-205), (2010).
    • , Assessing the geographic range of Black‐fronted Ground‐Tyrants (Muscisaxicola frontalis) using extralimital and winter range occurrence records and ecological niche modeling, Journal of Field Ornithology, 82, 4, (355-365), (2011).
    • , Predicting potential distribution of Tibetan spruce (Picea smithiana) in Qomolangma (Mount Everest) National Nature Preserve using maximum entropy niche-based model, Chinese Geographical Science, 21, 4, (417), (2011).
    • , Beyond Predictions: Biodiversity Conservation in a Changing Climate, Science, 332, 6025, (53), (2011).
    • , History matters: ecometrics and integrative climate change biology, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2010.2233, 278, 1709, (1131-1140), (2011).
    • , Multi-Scale Approach for Predicting Fish Species Distributions across Coral Reef Seascapes, PLoS ONE, 6, 5, (e20583), (2011).
    • , What spatial data do we need to develop global mammal conservation strategies?, Philosophical Transactions of the Royal Society B: Biological Sciences, 366, 1578, (2623), (2011).
    • , Future distribution modelling: A stitch in time is not enough, Ecological Modelling, 222, 3, (567), (2011).
    • , Predicting potential European bison habitat across its former range, Ecological Applications, 21, 3, (830-843), (2011).
    • , Effect of model formulation on the optimization of a genetic Takagi–Sugeno fuzzy system for fish habitat suitability evaluation, Ecological Modelling, 222, 8, (1401), (2011).
    • , Adapting the IUCN Red List criteria for invertebrates, Biological Conservation, 144, 10, (2432), (2011).
    • , Species distribution modelling—Effect of design and sample size of pseudo-absence observations, Ecological Modelling, 222, 11, (1800), (2011).
    • , A Southern Hemisphere Bathyal Fauna Is Distributed in Latitudinal Bands, Current Biology, 21, 3, (226), (2011).
    • , Geographic distribution modelling for ruminant liver flukes (Fasciola hepatica) in south-eastern Europe, International Journal for Parasitology, 41, 7, (747), (2011).
    • , Predicting the potential distribution of the invasive Common Waxbill Estrilda astrild (Passeriformes: Estrildidae), Journal of Ornithology, 152, 3, (769), (2011).
    • , Insights into North Pacific right whale Eubalaena japonica habitat from historic whaling records, Endangered Species Research, 10.3354/esr00381, 15, 3, (223-239), (2011).
    • , Projection of climatic suitability for Aedes albopictus Skuse (Culicidae) in Europe under climate change conditions, Global and Planetary Change, 78, 1-2, (54), (2011).
    • , Evaluation of brine discharge to rivers and streams: Methodology of rapid impact assessment, Limnologica, 10.1016/j.limno.2010.08.003, 41, 2, (80-89), (2011).
    • , Ecological niche modelling of an invasive alien plant and its potential biological control agents, South African Journal of Botany, 77, 1, (137), (2011).
    • , Modelling Species' Climatic Distributions Under Habitat Constraints: A Case Study withCoturnix coturnix, Annales Zoologici Fennici, 48, 3, (147), (2011).
    • , Comparing machine learning classifiers in potential distribution modelling, Expert Systems with Applications, 38, 5, (5268), (2011).
    • , The Relationship among Oceanography, Prey Fields, and Beaked Whale Foraging Habitat in the Tongue of the Ocean, PLoS ONE, 6, 4, (e19269), (2011).
    • , Assessing Octopus vulgaris distribution using presence-only model methods, Hydrobiologia, 670, 1, (35), (2011).
    • , Modelling phytoclimatic versatility as a large scale indicator of adaptive capacity to climate change in forest ecosystems, Ecological Modelling, 222, 8, (1436), (2011).
    • , Little ecological divergence associated with speciation in two African rain forest tree genera, BMC Evolutionary Biology, 11, 1, (296), (2011).
    • , Prioritizing areas in the native range of hygrophila for surveys to collect biological control agents, Biological Control, 56, 3, (254), (2011).
    • , The dominant Anopheles vectors of human malaria in the Asia-Pacific region: occurrence data, distribution maps and bionomic précis, Parasites & Vectors, 4, 1, (89), (2011).
    • , Developing a predictive modelling capacity for a climate change-vulnerable blanket bog habitat: Assessing 1961–1990 baseline relationships, Irish Geography, 44, 1, (27), (2011).
    • , A Phylogeographic and Population Genetic Analysis of a Widespread, Sedentary North American Bird: the Hairy Woodpecker (Picoides Villosus), The Auk, 128, 2, (346), (2011).
    • , Using Maximum Entropy Modeling for Optimal Selection of Sampling Sites for Monitoring Networks, Diversity, 3, 4, (252), (2011).
    • , Predicted distributions and ecological niches of 8 civet and mongoose species in Southeast Asia, Journal of Mammalogy, 92, 2, (316), (2011).
    • , Predictions of 27 Arctic pelagic seabird distributions using public environmental variables, assessed with colony data: a first digital IPY and GBIF open access synthesis platform, Marine Biodiversity, 41, 1, (141), (2011).
    • , The Current and Future Status of Floristic Provinces in Thailand, Land Use, Climate Change and Biodiversity Modeling, 10.4018/978-1-60960-619-0.ch011, (219-247), (2011).
    • , Choice of threshold alters projections of species range shifts under climate change, Ecological Modelling, 222, 18, (3346), (2011).
    • , Tracking a Medically Important Spider: Climate Change, Ecological Niche Modeling, and the Brown Recluse (Loxosceles reclusa), PLoS ONE, 6, 3, (e17731), (2011).
    • , Habitat-forming cold-water corals show affinity for seamounts in the New Zealand region, Marine Ecology Progress Series, 10.3354/meps09164, 430, (1-22), (2011).
    • , Testing climate-based species distribution models with recent field surveys of pond-breeding amphibians in eastern Missouri, Canadian Journal of Zoology, 89, 11, (1074), (2011).
    • , Characterizing the interface between wild ducks and poultry to evaluate the potential of transmission of avian pathogens, International Journal of Health Geographics, 10, 1, (60), (2011).
    • , Area prioritization and performance evaluation of the conservation area network for the Moroccan herpetofauna: a preliminary assessment, Biodiversity and Conservation, 20, 1, (89), (2011).
    • , Climate Change Hastens the Conservation Urgency of an Endangered Ungulate, PLoS ONE, 6, 8, (e22873), (2011).
    • , A comparison of modeling techniques to predict juvenile 0+ fish species occurrences in a large river system, Ecological Informatics, 6, 5, (276), (2011).
    • , What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods, Ecological Modelling, 222, 8, (1343), (2011).
    • , Evaluation of stochastic gravity model selection for use in estimating non-indigenous species dispersal and establishment, Biological Invasions, 13, 11, (2445), (2011).
    • , Using Geographic Information System-based Ecologic Niche Models to Forecast the Risk of Hantavirus Infection in Shandong Province, China, The American Journal of Tropical Medicine and Hygiene, 84, 3, (497), (2011).
    • , Biogeographic Distributions of Selected North American Grassland Plant Species, Physical Geography, 32, 6, (583), (2011).
    • , Effective Control of Aquatic Invasive Species in Tropical Australia, Environmental Management, 48, 3, (568), (2011).
    • , Predicting the future of forests in the Mediterranean under climate change, with niche‐ and process‐based models: CO2 matters!, Global Change Biology, 17, 1, (565-579), (2010).
    • , Environmental factors affecting transmission risk for hantaviruses in forested portions of southern Brazil, Acta Tropica, 119, 2-3, (125), (2011).
    • , Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea, Marine Ecology Progress Series, 443, (181), (2011).
    • , Modeling the establishment of invasive species: habitat and biotic interactions influencing the establishment of Bythotrephes longimanus, Biological Invasions, 13, 11, (2499), (2011).
    • , Model based grouping of species across environmental gradients, Ecological Modelling, 222, 4, (955), (2011).
    • , Using multi-scale modelling to predict habitat suitability for species of conservation concern: The grey long-eared bat as a case study, Biological Conservation, 10.1016/j.biocon.2011.08.010, 144, 12, (2922-2930), (2011).
    • , Spatial prediction of urban–rural temperatures using statistical methods, Theoretical and Applied Climatology, 10.1007/s00704-011-0425-9, 106, 1-2, (139-152), (2011).
    • , Modelling potential distribution of the threatened tree species Juniperus oxycedrus: how to evaluate the predictions of different modelling approaches?, Journal of Vegetation Science, 22, 4, (647-659), (2011).
    • , A Bayesian Model for Presence-Only Semicontinuous Data, With Application to Prediction of Abundance of Taxus Baccata in Two Italian Regions, Journal of Agricultural, Biological, and Environmental Statistics, 16, 3, (339), (2011).
    • , Climate-driven variation in food availability between the core and range edge of the endangered northern bettong (Bettongia tropica), Australian Journal of Zoology, 59, 3, (177), (2011).
    • , Ecological niche modeling of customary medicinal plant species used by Australian Aborigines to identify species-rich and culturally valuable areas for conservation, Ecological Modelling, 222, 18, (3437), (2011).
    • , Movement distances enhance validity of predictive models, Ecological Modelling, 222, 4, (947), (2011).
    • , Examining Local Transferability of Predictive Species Distribution Models for Invasive Plants: An Example with Cogongrass (Imperata cylindrica), Invasive Plant Science and Management, 4, 04, (390), (2011).
    • , Consequences of land use change on bird distribution at Sakaerat Environmental Research Station, Journal of Ecology and Environment, 34, 2, (203), (2011).
    • , Spatial Distribution and Risk Factors of Highly Pathogenic Avian Influenza (HPAI) H5N1 in China, PLoS Pathogens, 7, 3, (e1001308), (2011).
    • , Predicting the biodiversity response to climate change: challenges and advances, Systematics and Biodiversity, 10.1080/14772000.2011.634448, 9, 4, (307-317), (2011).
    • , The role of interactions in a world implementing adaptation and mitigation solutions to climate change, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 10.1098/rsta.2010.0271, 369, 1934, (217-241), (2011).
    • , Scale‐dependent controls on the area burned in the boreal forest of Canada, 1980–2005, Ecological Applications, 21, 3, (789-805), (2011).
    • , Predicting the invasion risk by the alien bee-hawking Yellow-legged hornet Vespa velutina nigrithorax across Europe and other continents with niche models, Biological Conservation, 144, 9, (2142), (2011).
    • , Linking habitat quality with genetic diversity: a lesson from great bustards in Spain, European Journal of Wildlife Research, 57, 3, (411), (2011).
    • , Using Remote Sensing to Map the Risk of Human Monkeypox Virus in the Congo Basin, EcoHealth, 8, 1, (14), (2011).
    • , openModeller: a generic approach to species’ potential distribution modelling, GeoInformatica, 15, 1, (111), (2011).
    • , Spatial modelling of sprinkler irrigation suitability in a Central Brazilian Cerrado region, Geocarto International, 26, 3, (227), (2011).
    • , Predicting potential distributions of geographic events using one-class data: concepts and methods, International Journal of Geographical Information Science, 25, 10, (1697), (2011).
    • , Distribution parameters of guanaco (Lama guanicoe), pampas deer (Ozotoceros bezoarticus) and marsh deer (Blastocerus dichotomus) in Central Argentina: Archaeological and paleoenvironmental implications, Journal of Archaeological Science, 38, 7, (1405), (2011).
    • , Optimizing invasive species control across space: willow invasion management in the Australian Alps, Journal of Applied Ecology, 48, 5, (1286-1294), (2011).
    • , Quantifying seascape structure: extending terrestrial spatial pattern metrics to the marine realm, Marine Ecology Progress Series, 427, (219), (2011).
    • , Genetic monitoring detects an overlooked cryptic species and reveals the diversity and distribution of three invasive Rattus congeners in south Africa, BMC Genetics, 10.1186/1471-2156-12-26, 12, 1, (26), (2011).
    • , Evaluation of species distribution model algorithms for fine‐scale container‐breeding mosquito risk prediction, Medical and Veterinary Entomology, 25, 3, (268-275), (2010).
    • , Plant species vulnerability to climate change in Peninsular Thailand, Applied Geography, 31, 3, (1106), (2011).
    • , Ecology and Geography of Plague Transmission Areas in Northeastern Brazil, PLoS Neglected Tropical Diseases, 5, 1, (e925), (2011).
    • , Where will conflicts between alien and rare species occur after climate and land-use change? A test with a novel combined modelling approach, Biological Invasions, 13, 5, (1209), (2011).
    • , Species distribution modelling of marine benthos: a North Sea case study, Marine Ecology Progress Series, 10.3354/meps09391, 442, (71-86), (2011).
    • , Impacts of climate change on Swiss biodiversity: An indicator taxa approach, Biological Conservation, 144, 2, (866), (2011).
    • , Lessons Learned While Integrating Habitat, Dispersal, Disturbance, and Life-History Traits into Species Habitat Models Under Climate Change, Ecosystems, 10.1007/s10021-011-9456-4, 14, 6, (1005-1020), (2011).
    • , Using species distribution models in paleobiogeography: A matter of data, predictors and concepts, Palaeogeography, Palaeoclimatology, Palaeoecology, 310, 3-4, (451), (2011).
    • , Predicting the potential invasive range of light brown apple moth (Epiphyas postvittana) using biologically informed and correlative species distribution models, Biological Invasions, 13, 10, (2409), (2011).
    • , Density and Spatial Distribution of Buffy-tufted-ear Marmosets (Callithrix aurita) in a Continuous Atlantic Forest, International Journal of Primatology, 32, 4, (811), (2011).
    • , Assessing the applicability of fuzzy neural networks for habitat preference evaluation of Japanese medaka (Oryzias latipes), Ecological Informatics, 6, 5, (286), (2011).
    • , Identifying habitat patches and potential ecological corridors for remnant Asiatic black bear (Ursus thibetanus japonicus) populations in Japan, Ecological Modelling, 222, 3, (748), (2011).
    • , Postglacial migration supplements climate in determining plant species ranges in Europe, Proceedings of the Royal Society B: Biological Sciences, 278, 1725, (3644), (2011).
    • , Adapting to crop pest and pathogen risks under a changing climate, Wiley Interdisciplinary Reviews: Climate Change, 2, 2, (220-237), (2011).
    • , Dealing with vagueness in complex forest landscapes: A soft classification approach through a niche-based distribution model, Ecological Informatics, 6, 6, (371), (2011).
    • , Applying a spread model to identify the entry points from which the pine wood nematode, the vector of pine wilt disease, would spread most rapidly across Europe, Biological Invasions, 10.1007/s10530-011-9983-0, 13, 12, (2981-2995), (2011).
    • , Biogeography and conservation of viperids from North-West Africa: An application of ecological niche-based models and GIS, Journal of Arid Environments, 75, 11, (1029), (2011).
    • , Modelling the impact of climate change on spatial patterns of disease risk: Sheep blowfly strike by Lucilia sericata in Great Britain, International Journal for Parasitology, 41, 7, (739), (2011).
    • , The ecological niches of Bythotrephes and Leptodora: lessons for predicting long-term effects of invasion, Biological Invasions, 13, 11, (2561), (2011).
    • , Patterns from the past: modeling Public Land Survey witness tree distributions with weights-of-evidence, Plant Ecology, 212, 2, (207), (2011).
    • , Species Delimitation in the Continental Forms of the Genus Epicrates (Serpentes, Boidae) Integrating Phylogenetics and Environmental Niche Models, PLoS ONE, 6, 9, (e22199), (2011).
    • , Improving National-Scale Invasion Maps: Tamarisk in the Western United States, Western North American Naturalist, 71, 2, (164), (2011).
    • , A novel method to calculate climatic niche similarity among species with restricted ranges—the case of terrestrial Lycian salamanders, Organisms Diversity & Evolution, 11, 5, (409), (2011).
    • , Global Habitat Suitability for Framework-Forming Cold-Water Corals, PLoS ONE, 6, 4, (e18483), (2011).
    • , Habitat suitability of patch types: A case study of the Yosemite toad, Frontiers of Earth Science, 5, 2, (217), (2011).
    • , Ecological Niche Modelling and nDNA Sequencing Support a New, Morphologically Cryptic Beetle Species Unveiled by DNA Barcoding, PLoS ONE, 6, 2, (e16662), (2011).
    • , Living on the edge? – On the thermobiology and activity pattern of the large herbivorous desert lizard Uromastyx aegyptia microlepis Blanford, 1875 at Mahazat as-Sayd Protected Area, Saudi Arabia, Journal of Arid Environments, 75, 7, (636), (2011).
    • , Population distribution models: species distributions are better modeled using biologically relevant data partitions, BMC Ecology, 11, 1, (20), (2011).
    • , Null models reveal preferential sampling, spatial autocorrelation and overfitting in habitat suitability modelling, Ecological Modelling, 10.1016/j.ecolmodel.2010.11.016, 222, 3, (588-597), (2011).
    • , Incorporating classified dispersal assumptions in predictive distribution models – A case study with grasshoppers and bush-crickets, Ecological Modelling, 222, 13, (2130), (2011).
    • , Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models, Ecological Modelling, 222, 13, (2037), (2011).
    • , Comparative evaluation of multiple models of the effects of climate change on the potential distribution of Pinus massoniana, Chinese Journal of Plant Ecology, 35, 11, (1091), (2011).
    • , A habitat overlap analysis derived from maxent for tamarisk and the south-western willow flycatcher, Frontiers of Earth Science, 5, 2, (120), (2011).
    • , Assessing the application of a geographic presence-only model for land suitability mapping, Ecological Informatics, 6, 5, (257), (2011).
    • , Contrasting Observation and Transect-Based Models of Cattle Distribution on Lincoln National Forest, New Mexico, Rangeland Ecology & Management, 64, 5, (514), (2011).
    • , Reliability of macrofossils in woodrat (Neotoma) middens for detecting low-density tree populations, Paleobiology, 37, 04, (603), (2011).
    • , Developing spatial models of sugar kelp (Saccharina latissima) potential distribution under natural conditions and areas of its disappearance in Skagerrak, Estuarine, Coastal and Shelf Science, 10.1016/j.ecss.2011.10.029, 95, 4, (477-483), (2011).
    • , Using Geographic Information Systems and Decision Support Systems for the Prediction, Prevention, and Control of Vector-Borne Diseases, Annual Review of Entomology, 56, 1, (41), (2011).
    • , Absence reduction in entomological surveillance data to improve niche-based distribution models for Culicoides imicola, Preventive Veterinary Medicine, 100, 1, (15), (2011).
    • , Rockroses and Boletus edulis ectomycorrhizal association: realized niche and climatic suitability in Spain, Fungal Ecology, 4, 3, (224), (2011).
    • , Range shift and loss of genetic diversity under climate change in Caryocar brasiliense, a Neotropical tree species, Tree Genetics & Genomes, 7, 6, (1237), (2011).
    • , Accounting for uncertainty when mapping species distributions: The need for maps of ignorance, Progress in Physical Geography: Earth and Environment, 10.1177/0309133311399491, 35, 2, (211-226), (2011).
    • , Predicting habitat suitability for rare plants at local spatial scales using a species distribution model, Ecological Applications, 21, 1, (33), (2011).
    • , Technology on the Move: Recent and Forthcoming Innovations for Tracking Migratory Birds, BioScience, 61, 9, (689), (2011).
    • , A systematic approach for prioritizing multiple management actions for invasive species, Biological Invasions, 13, 5, (1241), (2011).
    • , Incorporating low-resolution historic species location data decreases performance of distribution models, Ecological Modelling, 222, 18, (3444), (2011).
    • , Consequences of long- and short-term fragmentation on the genetic diversity and differentiation of a late successional rainforest conifer, Australian Journal of Botany, 10.1071/BT10291, 59, 4, (351), (2011).
    • , The World Is not Flat: Defining Relevant Thermal Landscapes in the Context of Climate Change, Integrative and Comparative Biology, 51, 5, (666), (2011).
    • , Assessing conservation priorities of xenarthrans in Argentina, Biodiversity and Conservation, 20, 1, (141), (2011).
    • , Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry, International Journal of Health Geographics, 10, 1, (21), (2011).
    • , The influences of climate, habitat and fire on the distribution of cockatoo grass (Alloteropsis semialata) (Poaceae) in the Wet Tropics of northern Australia, Australian Journal of Botany, 10.1071/BT10266, 59, 4, (315), (2011).
    • , Effect of sea-level rise on piping plover (Charadrius melodus) breeding habitat, Biological Conservation, 10.1016/j.biocon.2010.09.017, 144, 1, (393-401), (2011).
    • , The art of modelling range‐shifting species, Methods in Ecology and Evolution, 1, 4, (330-342), (2010).
    • , National review of state wildlife action plans for Odonata species of greatest conservation need, Insect Conservation and Diversity, 3, 2, (61-71), (2010).
    • , New records and a niche model for the distribution of two Neotropical damselflies: Schistolobos boliviensis and Tuberculobasis inversa (Odonata: Coenagrionidae), Insect Conservation and Diversity, 3, 4, (252-256), (2010).
    • , Ensemble forecasting shifts in climatically suitable areas for Tropidacris cristata (Orthoptera: Acridoidea: Romaleidae), Insect Conservation and Diversity, 3, 3, (213-221), (2010).
    • , Getting the most out of atlas data, Diversity and Distributions, 16, 3, (363-375), (2010).
    • , Distribution and abundance of the introduced ectomycorrhizal fungus Amanita phalloides in North America, New Phytologist, 185, 3, (803-816), (2009).
    • , Assessing the potential impact of invasive ring‐necked parakeets Psittacula krameri on native nuthatches Sitta europeae in Belgium, Journal of Applied Ecology, 47, 3, (549-557), (2010).
    • , Profile or group discriminative techniques? Generating reliable species distribution models using pseudo‐absences and target‐group absences from natural history collections, Diversity and Distributions, 16, 1, (84-94), (2009).
    • , Predicting the impact of climate change on Australia’s most endangered snake, Hoplocephalus bungaroides, Diversity and Distributions, 16, 1, (109-118), (2009).
    • , DOES NICHE DIVERGENCE ACCOMPANY ALLOPATRIC DIVERGENCE IN APHELOCOMA JAYS AS PREDICTED UNDER ECOLOGICAL SPECIATION?: INSIGHTS FROM TESTS WITH NICHE MODELS, Evolution, 64, 5, (1231-1244), (2009).
    • , Determinants of palm species distributions across Africa: the relative roles of climate, non‐climatic environmental factors, and spatial constraints, Ecography, 33, 2, (380-391), (2010).
    • , ENMTools: a toolbox for comparative studies of environmental niche models, Ecography, 33, 3, (607-611), (2010).
    • , Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region, Diversity and Distributions, 16, 1, (187-201), (2009).
    • , Regression analysis of spatial data, Ecology Letters, 13, 2, (246-264), (2010).
    • , Using presence‐only modelling to predict Asian elephant habitat use in a tropical forest landscape: implications for conservation, Diversity and Distributions, 16, 6, (975-984), (2010).
    • , Modeling environmentally associated morphological and genetic variation in a rainforest bird, and its application to conservation prioritization, Evolutionary Applications, 3, 1, (1-16), (2009).
    • , Predicting invasive alien plant distributions: how geographical bias in occurrence records influences model performance, Journal of Biogeography, 37, 9, (1797-1810), (2010).
    • , Reassessment of phylogeographical structure in an eastern North American tree using Monmonier’s algorithm and ecological niche modelling, Journal of Biogeography, 37, 9, (1657-1667), (2010).
    • , The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela, Journal of Biogeography, 37, 7, (1378-1393), (2010).
    • , Evaluating the potential causes of range limits of birds of the Colombian Andes, Journal of Biogeography, 37, 10, (1863-1875), (2010).
    • , Combining environmental gradients to explain and predict the structure of demersal fish distributions, Journal of Biogeography, 37, 4, (593-605), (2010).
    • , The discordance of diversification: evolution in the tropical‐montane frogs of the Eastern Arc Mountains of Tanzania, Molecular Ecology, 19, 18, (4046-4060), (2010).
    • , Climatic stability and genetic divergence in the tropical insular lizard Anolis krugi, the Puerto Rican ‘Lagartijo Jardinero de la Montaña’, Molecular Ecology, 19, 9, (1860-1876), (2010).
    • , Can mechanism inform species’ distribution models?, Ecology Letters, 13, 8, (1041-1054), (2010).
    • , SAM: a comprehensive application for Spatial Analysis in Macroecology, Ecography, 33, 1, (46-50), (2010).
    • , The effects of climate data precision on fitting and projecting species niche models, Ecography, 33, 1, (115-127), (2010).
    • , Integrating physiology, population dynamics and climate to make multi‐scale predictions for the spread of an invasive insect: the Argentine ant at Haleakala National Park, Hawaii, Ecography, 33, 1, (83-94), (2010).
    • , The uncertain nature of absences and their importance in species distribution modelling, Ecography, 33, 1, (103-114), (2010).
    • , Linking habitat use to range expansion rates in fragmented landscapes: a metapopulation approach, Ecography, 33, 1, (73-82), (2010).
    • , Niche and area of distribution modeling: a population ecology perspective, Ecography, 33, 1, (159-167), (2010).
    • , Moving beyond static species distribution models in support of conservation biogeography, Diversity and Distributions, 16, 3, (321-330), (2010).
    • , Thermogeography predicts the potential global range of the invasive European green crab (Carcinus maenas), Diversity and Distributions, 16, 2, (243-255), (2010).
    • , Past and present potential distribution of the Iberian Abies species: a phytogeographic approach using fossil pollen data and species distribution models, Diversity and Distributions, 16, 2, (214-228), (2010).
    • , BIODIVERSITY RESEARCH: Current distribution and predicted geographic expansion of the Rufous‐backed Robin in Mexico: a fading endemism?, Diversity and Distributions, 16, 5, (786-797), (2010).
    • , Using ground‐derived data to assess the environmental niche of the spinose ear tick, Otobius megnini, Entomologia Experimentalis et Applicata, 137, 2, (132-142), (2010).
    • , Habitat selection of the globally threatened Aquatic Warbler Acrocephalus paludicola at the western margin of its breeding range and implications for management, Ibis, 152, 2, (347-358), (2010).
    • , Predicting potential distribution of chestnut phylloxerid (Hemiptera: Phylloxeridae) based on GARP and Maxent ecological niche models, Journal of Applied Entomology, 134, 1, (45-54), (2009).
    • , Satellite imagery as a single source of predictor variables for habitat suitability modelling: how Landsat can inform the conservation of a critically endangered lemur, Journal of Applied Ecology, 47, 5, (1094-1102), (2010).
    • , Ground validation of presence‐only modelling with rare species: a case study on barbastelles Barbastella barbastellus (Chiroptera: Vespertilionidae), Journal of Applied Ecology, 47, 2, (410-420), (2010).
    • , Assessing the impact of deforestation and climate change on the range size and environmental niche of bird species in the Atlantic forests, Brazil, Journal of Biogeography, 37, 7, (1288-1301), (2010).
    • , Do community‐level models describe community variation effectively?, Journal of Biogeography, 37, 10, (1842-1850), (2010).
    • , Predicting species distributions from checklist data using site‐occupancy models, Journal of Biogeography, 37, 10, (1851-1862), (2010).
    • , Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plant, Journal of Biogeography, 37, 3, (411-422), (2009).
    • , Modelling the responses of Andean and Amazonian plant species to climate change: the effects of georeferencing errors and the importance of data filtering, Journal of Biogeography, 37, 4, (733-740), (2009).
    • , Genomic signals of diversification along ecological gradients in a tropical lizard, Molecular Ecology, 19, 17, (3773-3788), (2010).
    • , Exploring the population genetic consequences of the colonization process with spatio‐temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers, Molecular Ecology, 19, 17, (3727-3745), (2010).
    • , Common factors drive adaptive genetic variation at different spatial scales in Arabis alpina, Molecular Ecology, 19, 17, (3824-3835), (2010).
    • , Gene movement and genetic association with regional climate gradients in California valley oak (Quercus lobata Née) in the face of climate change, Molecular Ecology, 19, 17, (3806-3823), (2010).
    • , Ecological partitioning among parapatric cryptic species, Molecular Ecology, 19, 15, (3206-3225), (2010).
    • , Identifying Conservation Areas on the Basis of Alternative Distribution Data Sets, Conservation Biology, 24, 1, (162-170), (2009).
    • , Site‐Occupancy Distribution Modeling to Correct Population‐Trend Estimates Derived from Opportunistic Observations, Conservation Biology, 24, 5, (1388-1397), (2010).
    • , Decoupled conservatism of Grinnellian and Eltonian niches in an invasive arthropod, Ecosphere, 1, 6, (1-13), (2010).
    • , Improving the analysis of movement data from marked individuals through explicit estimation of observer heterogeneity, Journal of Avian Biology, 41, 1, (8-17), (2010).
    • , A method for measuring the relative information content of data from different monitoring protocols, Methods in Ecology and Evolution, 1, 3, (263-273), (2010).
    • , Robustness of Risk Maps and Survey Networks to Knowledge Gaps About a New Invasive Pest, Risk Analysis, 30, 2, (261-276), (2009).
    • , Ecological‐Niche Modeling and Prioritization of Conservation‐Area Networks for Mexican Herpetofauna, Conservation Biology, 24, 4, (1031-1041), (2010).
    • , The use of geostatistics and GIS for evolutionary history studies: the case of the nose‐horned viper (Vipera ammodytes) in the Balkan Peninsula, Biological Journal of the Linnean Society, 101, 3, (651-666), (2010).
    • , Managing biodiversity data within the context of climate change: towards best practice, Austral Ecology, 35, 4, (392-405), (2009).
    • , Using species distribution models to identify suitable areas for biofuel feedstock production, GCB Bioenergy, 2, 2, (63-78), (2010).
    • , Biogeography of the Amazon molly: ecological niche and range limits of an asexual hybrid species, Global Ecology and Biogeography, 19, 4, (442-451), (2010).
    • , Species traits affect the performance of species distribution models for plants in southern California, Journal of Vegetation Science, 21, 1, (177-189), (2009).
    • , The range implications of lizard traits in changing environments, Global Ecology and Biogeography, 19, 4, (452-464), (2010).
    • , ModEco: an integrated software package for ecological niche modeling, Ecography, 33, 4, (637-642), (2010).
    • , Northern glacial refugia for the pygmy shrew Sorex minutus in Europe revealed by phylogeographic analyses and species distribution modelling, Ecography, 33, 2, (260-271), (2010).
    • , UNRAVELING CRYPTIC RETICULATE RELATIONSHIPS AND THE ORIGIN OF ORPHAN HYBRID DISJUNCT POPULATIONS IN NARCISSUS, Evolution, 64, 8, (2353-2368), (2010).
    • , Molecules, ecology, morphology, and songs in concert: how many species is Arremon torquatus (Aves: Emberizidae)?, Biological Journal of the Linnean Society, 99, 1, (152-176), (2009).
    • , Niche shifts during the global invasion of the Asian tiger mosquito, Aedes albopictus Skuse (Culicidae), revealed by reciprocal distribution models, Global Ecology and Biogeography, 19, 1, (122-133), (2009).
    • , Weak climatic associations among British plant distributions, Global Ecology and Biogeography, 19, 6, (831-841), (2010).
    • , Hidden patterns of phylogenetic non‐stationarity overwhelm comparative analyses of niche conservatism and divergence, Global Ecology and Biogeography, 19, 6, (916-926), (2010).
    • , Within‐taxon niche structure: niche conservatism, divergence and predicted effects of climate change, Ecography, 33, 6, (990-1003), (2010).
    • , New trends in species distribution modelling, Ecography, 33, 6, (985-989), (2010).
    • , Uncertainty in ensemble forecasting of species distribution, Global Change Biology, 16, 4, (1145-1157), (2009).
    • , Optimizing resiliency of reserve networks to climate change: multispecies conservation planning in the Pacific Northwest, USA, Global Change Biology, 16, 3, (891-904), (2009).
    • , Biological collections and ecological/environmental research: a review, some observations and a look to the future, Biological Reviews, 85, 2, (247-266), (2009).
    • , Testing the accuracy of species distribution models using species records from a new field survey, Oikos, 119, 8, (1326-1334), (2010).
    • , Biotic and abiotic variables show little redundancy in explaining tree species distributions, Ecography, 33, 6, (1038-1048), (2010).
    • , Prospective sampling based on model ensembles improves the detection of rare species, Ecography, 33, 6, (1015-1027), (2010).
    • , Geography, topography, and history affect realized‐to‐potential tree species richness patterns in Europe, Ecography, 33, 6, (1070-1080), (2010).
    • , Predicting species distributions based on incomplete survey data: the trade‐off between precision and scale, Ecography, 33, 5, (826-840), (2010).
    • , Global mapping of Jatropha curcas yield based on response of fitness to present and future climate, GCB Bioenergy, 2, 3, (139-151), (2010).
    • , Modelling spatial patterns in harbour porpoise satellite telemetry data using maximum entropy, Ecography, 33, 4, (698-708), (2010).
    • , Use of simulated data from a process‐based habitat model to evaluate methods for predicting species occurrence, Ecography, 33, 4, (656-666), (2010).
    • , Biogeography and contemporary climatic differentiation among Moroccan Salamandra algira, Biological Journal of the Linnean Society, 101, 3, (626-641), (2010).
    • , Strong genetic cohesiveness between Italy and North Africa in four butterfly species, Biological Journal of the Linnean Society, 99, 4, (818-830), (2010).
    • , Knowing the past to predict the future: land‐use change and the distribution of invasive bullfrogs, Global Change Biology, 16, 2, (528-537), (2009).
    • , Predicted impact of climate change on European bats in relation to their biogeographic patterns, Global Change Biology, 16, 2, (561-576), (2009).
    • , From climate change predictions to actions – conserving vulnerable animal groups in hotspots at a regional scale, Global Change Biology, 16, 12, (3257-3270), (2010).
    • , Hierarchical Bayesian Spatial Models for Multispecies Conservation Planning and Monitoring, Conservation Biology, 24, 6, (1538-1548), (2010).
    • , Predicting the potential distribution of the endangered Przewalski's gazelle, Journal of Zoology, 282, 1, (54-63), (2010).
    • , Effects of the number of presences on reliability and stability of MARS species distribution models: the importance of regional niche variation and ecological heterogeneity, Journal of Vegetation Science, 21, 5, (908-922), (2010).
    • , Overcoming the rare species modelling paradox: A novel hierarchical framework applied to an Iberian endemic plant, Biological Conservation, 10.1016/j.biocon.2010.07.007, 143, 11, (2647-2657), (2010).
    • , Defining a Target Map of Native Species Assemblages for Restoration, Restoration Ecology, 18, 4, (439-448), (2008).
    • , Empirical realised niche models for British higher and lower plants – development and preliminary testing, Journal of Vegetation Science, 21, 4, (643-656), (2010).
    • , Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions: Opportunities and challenges, Austral Ecology, 35, 4, (374-391), (2009).
    • , Ecological niche and potential geographic distribution of the invasive fruit fly Bactrocera invadens (Diptera, Tephritidae), Bulletin of Entomological Research, 100, 01, (35), (2010).
    • , A Climatic Stability Approach to Prioritizing Global Conservation Investments, PLoS ONE, 5, 11, (e15103), (2010).
    • , Ensemble models of habitat suitability relate chimpanzee (Pan troglodytes) conservation to forest and landscape dynamics in Western Africa, Biological Conservation, 10.1016/j.biocon.2009.11.007, 143, 2, (416-425), (2010).
    • , Environmental determinants of lightning- v. human-induced forest fire ignitions differ in a temperate mountain region of Switzerland, International Journal of Wildland Fire, 10.1071/WF08206, 19, 5, (541), (2010).
    • , Habitat Suitability and Conservation of the Giant Gartersnake (Thamnophis gigas) in the Sacramento Valley of California, Copeia, 10.1643/CE-09-199, 2010, 4, (591-599), (2010).
    • , Using ecological niche modeling to assess biogeographic and niche response of brachiopod species to the Richmondian Invasion (Late Ordovician) in the Cincinnati Arch, Palaeogeography, Palaeoclimatology, Palaeoecology, 296, 1-2, (28), (2010).
    • , Biogeographical Patterns of Marine Benthic Macroinvertebrates Along the Atlantic Coast of the Northeastern USA, Estuaries and Coasts, 10.1007/s12237-010-9332-z, 33, 5, (1039-1053), (2010).
    • , Recording effort biases the species richness cited in plant distribution atlases, Perspectives in Plant Ecology, Evolution and Systematics, 12, 1, (57), (2010).
    • , The ecological niche and reciprocal prediction of the disjunct distribution of an invasive species: the example of Ailanthus altissima, Biological Invasions, 10.1007/s10530-009-9652-8, 12, 8, (2413-2427), (2009).
    • , Predictive performance of plant species distribution models depends on species traits, Perspectives in Plant Ecology, Evolution and Systematics, 12, 3, (219), (2010).
    • , Validation of Ecological Niche Models for Potential Malaria Vectors in the Republic of Korea, Journal of the American Mosquito Control Association, 26, 2, (210), (2010).
    • , European Bison habitat in the Carpathian Mountains, Biological Conservation, 10.1016/j.biocon.2009.12.038, 143, 4, (908-916), (2010).
    • , Effects of Climate Change on Subtropical Forests of South America, Tropical Conservation Science, 10.1177/194008291000300407, 3, 4, (423-437), (2010).
    • , Modelling and economic evaluation of forest biome shifts under climate change in Southwest Germany, Forest Ecology and Management, 259, 4, (710), (2010).
    • , Developing Global Maps of the Dominant Anopheles Vectors of Human Malaria, PLoS Medicine, 7, 2, (e1000209), (2010).
    • , Does the choice of climate baseline matter in ecological niche modelling?, Ecological Modelling, 221, 19, (2280), (2010).
    • , Multiscale determinants of parasite abundance: A quantitative hierarchical approach for coral reef fishes, International Journal for Parasitology, 40, 4, (443), (2010).
    • , Toward a new instrument for identifying the Italian hotspots of biodiversity: A case study of the amphibians and reptiles of Sicily, Italian Journal of Zoology, 77, 4, (453), (2010).
    • 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010) Fukuoka 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC) IEEE , (2010). 978-1-4244-7377-9 A genetic Takagi-Sugeno fuzzy system for fish habitat preference modelling , (2010). 274 279 5716268 , 10.1109/NABIC.2010.5716268 http://ieeexplore.ieee.org/document/5716268/
    • , Assisted migration of plants: Changes in latitudes, changes in attitudes, Biological Conservation, 10.1016/j.biocon.2009.08.015, 143, 1, (18-27), (2010).
    • , Chagas Disease Risk in Texas, PLoS Neglected Tropical Diseases, 4, 10, (e836), (2010).
    • , Deriving the Species Richness Distribution of Geotrupinae (Coleoptera: Scarabaeoidea) in Mexico From the Overlap of Individual Model Predictions, Environmental Entomology, 39, 1, (42), (2010).
    • , Applying geographic profiling used in the field of criminology for predicting the nest locations of bumble bees, Journal of Theoretical Biology, 265, 2, (211), (2010).
    • , How many studies are necessary to compare niche-based models for geographic distributions? Inductive reasoning may fail at the end, Brazilian Journal of Biology, 70, 2, (263), (2010).
    • , Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl, EcoHealth, 7, 4, (448), (2010).
    • , Classification in conservation biology: A comparison of five machine-learning methods, Ecological Informatics, 5, 6, (441), (2010).
    • , Combining local- and large-scale models to predict the distributions of invasive plant species, Ecological Applications, 20, 2, (311), (2010).
    • , Using species distribution models to guide conservation at the state level: the endangered American burying beetle (Nicrophorus americanus) in Oklahoma, Journal of Insect Conservation, 10.1007/s10841-010-9280-8, 14, 5, (511-521), (2010).
    • , POC plots: calibrating species distribution models with presence‐only data, Ecology, 91, 8, (2476-2484), (2010).
    • , Why tropical island endemics are acutely susceptible to global change, Biodiversity and Conservation, 10.1007/s10531-008-9529-7, 19, 2, (329-342), (2008).
    • , Multivariate statistical methods as a tool for model-based prediction of vegetation types, Russian Journal of Ecology, 10.1134/S1067413610010169, 41, 1, (84-94), (2010).
    • , Combining multiple models to predict the geographical distribution of the Baru tree (Dipteryx alata Vogel) in the Brazilian Cerrado, Brazilian Journal of Biology, 70, 4, (911), (2010).
    • , Role of climatic niche models in focal-species-based conservation planning: Assessing potential effects of climate change on Northern Spotted Owl in the Pacific Northwest, USA, Biological Conservation, 10.1016/j.biocon.2010.03.018, 143, 6, (1432-1437), (2010).
    • , Climate Change and Risk of Leishmaniasis in North America: Predictions from Ecological Niche Models of Vector and Reservoir Species, PLoS Neglected Tropical Diseases, 4, 1, (e585), (2010).
    • , Geographic distribution modeling and spatial cluster analysis for equine piroplasms in Greece, Infection, Genetics and Evolution, 10, 7, (1013), (2010).
    • , The impacts of climate change on the wintering distribution of an endangered migratory bird, Oecologia, 10.1007/s00442-010-1732-z, 164, 2, (555-565), (2010).
    • , Estimating the spatio-temporal risk of disease epidemics using a bioclimatic niche model, Ecological Modelling, 221, 23, (2828), (2010).
    • , Using ecological niche modelling to infer past, present and future environmental suitability for Leiopelma hochstetteri, an endangered New Zealand native frog, Biological Conservation, 10.1016/j.biocon.2010.03.012, 143, 6, (1375-1384), (2010).
    • , Potential Distribution of the Alien Invasive Brown Tree Snake, Boiga irregularis (Reptilia: Colubridae), Pacific Science, 64, 1, (11), (2010).
    • , Predicted impact of exotic vines on an endangered ecological community under future climate change, Biological Invasions, 10.1007/s10530-010-9814-8, 12, 12, (4049-4063), (2010).
    • , Predicting loss and fragmentation of habitat of the vulnerable subtropical rainforest tree Macadamia integrifolia with models developed from compiled ecological data, Biological Conservation, 10.1016/j.biocon.2010.03.013, 143, 6, (1385-1396), (2010).
    • , Distribution and conservation of Grallaria and Grallaricula antpittas (Grallariidae) in Ecuador, Bird Conservation International, 20, 04, (410), (2010).
    • , References, Data Analysis in Vegetation Ecology, (195-203), (2010).
    • , Ecology Driving Genetic Variation: A Comparative Phylogeography of Jungle Cat (Felis chaus) and Leopard Cat (Prionailurus bengalensis) in India, PLoS ONE, 5, 10, (e13724), (2010).
    • , Spatiotemporal exploratory models for broad‐scale survey data, Ecological Applications, 20, 8, (2131-2147), (2010).
    • , Predicting potential and actual distribution of sudden oak death in Oregon: Prioritizing landscape contexts for early detection and eradication of disease outbreaks, Forest Ecology and Management, 260, 6, (1026), (2010).
    • , Bird population trends are linearly affected by climate change along species thermal ranges, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2010.0796, 277, 1700, (3601-3608), (2010).
    • , Identifying the global potential for baobab tree cultivation using ecological niche modelling, Agroforestry Systems, 10.1007/s10457-010-9282-2, 80, 2, (191-201), (2010).
    • , Economic Conditions Predict Prevalence of West Nile Virus, PLoS ONE, 5, 11, (e15437), (2010).
    • , Comparing GIS-based habitat models for applications in EIA and SEA, Environmental Impact Assessment Review, 30, 1, (8), (2010).
    • , A Gap Analysis Methodology for Collecting Crop Genepools: A Case Study with Phaseolus Beans, PLoS ONE, 5, 10, (e13497), (2010).
    • , Successful survey for a poorly-known weta, Hemiandrus sp. 1 (Orthoptera: Anostostomatidae), based on a GIS-generated environmental envelope. , New Zealand Entomologist, 10.1080/00779962.2010.9722197, 33, 1, (102-108), (2010).
    • , Ensemble Habitat Mapping of Invasive Plant Species, Risk Analysis, 30, 2, (224-235), (2010).
    • , Ecological Modeling of the Spatial Distribution of Wild Waterbirds to Identify the Main Areas Where Avian Influenza Viruses are Circulating in the Inner Niger Delta, Mali, EcoHealth, 7, 3, (283), (2010).
    • , From Points to Forecasts: Predicting Invasive Species Habitat Suitability in the Near Term, Diversity, 2, 11, (738), (2010).
    • , Gyrfalcon nest distribution in Alaska based on a predictive GIS model, Polar Biology, 10.1007/s00300-009-0711-5, 33, 3, (347-358), (2009).
    • , Effectiveness of Biodiversity Surrogates for Conservation Planning: Different Measures of Effectiveness Generate a Kaleidoscope of Variation, PLoS ONE, 5, 7, (e11430), (2010).
    • , Population responses within a landscape matrix: a macrophysiological approach to understanding climate change impacts, Evolutionary Ecology, 10.1007/s10682-009-9329-x, 24, 3, (601-616), (2009).
    • , Modelling physico-chemical factors affecting occurrences of a non-indigenous planktonic copepod in northeast Pacific estuaries, Biological Invasions, 10.1007/s10530-009-9558-5, 12, 5, (1427-1445), (2009).
    • , New approaches to modelling fish–habitat relationships, Ecological Modelling, 221, 3, (503), (2010).
    • , Invasibility of reservoirs in the Paraná Basin, Brazil, to Cichla kelberi Kullander and Ferreira, 2006, Biological Invasions, 10.1007/s10530-009-9598-x, 12, 6, (1873-1888), (2009).
    • , Does plot size affect the performance of GIS-based species distribution models?, Journal of Geographical Systems, 10.1007/s10109-010-0106-8, 12, 4, (389-407), (2010).
    • , Sampling bias and the use of ecological niche modeling in conservation planning: a field evaluation in a biodiversity hotspot, Biodiversity and Conservation, 10.1007/s10531-009-9746-8, 19, 3, (883-899), (2009).
    • , Generalized regression analyses and spatial predictions of river fauna, SIL Proceedings, 1922-2010, 30, 10, (1634), (2010).
    • , Detection of cows with insemination problems using selected classification models, Computers and Electronics in Agriculture, 74, 2, (265), (2010).
    • , Invasive and flexible: niche shift in the drosophilid Zaprionus indianus (Insecta, Diptera), Biological Invasions, 10.1007/s10530-009-9542-0, 12, 5, (1231-1241), (2009).
    • , Will future climate change threaten a range restricted endemic species, the quokka (Setonix brachyurus), in south west Australia?, Biological Conservation, 10.1016/j.biocon.2010.06.011, 143, 11, (2453-2461), (2010).
    • , Delimiting species boundaries within the Neotropical bamboo Otatea (Poaceae: Bambusoideae) using molecular, morphological and ecological data, Molecular Phylogenetics and Evolution, 54, 2, (344), (2010).
    • , Modelling the distribution and relative abundance of feral camels in the Northern Territory using count data, The Rangeland Journal, 10.1071/RJ09057, 32, 1, (21), (2010).
    • , Predicting the occurrence of rare Brazilian birds with species distribution models, Journal of Ornithology, 10.1007/s10336-010-0523-y, 151, 4, (857-866), (2010).
    • , Predicting range shifts of northern bird species: Influence of modelling technique and topography, Acta Oecologica, 36, 3, (269), (2010).
    • , Projected Loss of a Salamander Diversity Hotspot as a Consequence of Projected Global Climate Change, PLoS ONE, 5, 8, (e12189), (2010).
    • , The dynamics of biogeographic ranges in the deep sea, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2010.1057, 277, 1700, (3533-3546), (2010).
    • , Geographical aspects of enterobiasis in Estonia, Health & Place, 16, 2, (291), (2010).
    • , Ecosystem adaptation to climate change: Small mammal migration pathways in the Great Lakes states, Journal of Great Lakes Research, 36, (86), (2010).
    • , Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods, Ecological Modelling, 221, 2, (215), (2010).
    • , References, Introduction to WinBUGS for Ecologists, 10.1016/B978-0-12-378605-0.00029-6, (285-289), (2010).
    • , Saiga antelope calving site selection is increasingly driven by human disturbance, Biological Conservation, 143, 7, (1770), (2010).
    • , Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon, Biological Conservation, 10.1016/j.biocon.2010.06.008, 143, 11, (2441-2452), (2010).
    • , Is the Climate Right for Pleistocene Rewilding? Using Species Distribution Models to Extrapolate Climatic Suitability for Mammals across Continents, PLoS ONE, 5, 9, (e12899), (2010).
    • , Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models, Progress in Physical Geography: Earth and Environment, 10.1177/0309133309355630, 34, 1, (3-22), (2010).
    • , Marshalling existing biodiversity data to evaluate biodiversity status and trends in planning exercises, Ecological Research, 25, 5, (947-957), (2010).
    • , Reinforcing and expanding the predictions of the disturbance vicariance hypothesis in Amazonian harlequin frogs: a molecular phylogenetic and climate envelope modelling approach, Biodiversity and Conservation, 10.1007/s10531-010-9869-y, 19, 8, (2125-2146), (2010).
    • , Brazilian Atlantic Forest lato sensu: the most ancient Brazilian forest, and a biodiversity hotspot, is highly threatened by climate change, Brazilian Journal of Biology, 70, 3 suppl, (697), (2010).
    • , Comparison of alternative strategies for invasive species distribution modeling, Ecological Modelling, 221, 19, (2261), (2010).
    • , Ecological relevance of performance criteria for species distribution models, Ecological Modelling, 221, 16, (1995), (2010).
    • , Vulnerability of Pinus cembra L. in the Alps and the Carpathian mountains under present and future climates, Forest Ecology and Management, 259, 4, (750), (2010).
    • , Climate change might drive the invasive tree Robinia pseudacacia into nature reserves and endangered habitats, Biological Conservation, 10.1016/j.biocon.2009.10.024, 143, 2, (382-390), (2010).
    • , Species Distribution Modeling, Geography Compass, 4, 6, (490), (2010).
    • , Applying ecological niche modelling to plan conservation actions for the Red-spectacled Amazon (Amazona pretrei), Biological Conservation, 10.1016/j.biocon.2009.09.009, 143, 1, (102-112), (2010).
    • , Estimating the biodiversity of the East Antarctic shelf and oceanic zone for ecoregionalisation: Example of the ichthyofauna of the CEAMARC (Collaborative East Antarctic Marine Census) CAML surveys, Polar Science, 4, 2, (115), (2010).
    • , Environmental factors that affect vector-borne pathogen transmission, Environmental Medicine, 10.1201/b13390-47, (405-410), (2012).
    • , Finding needles (or ants) in haystacks: predicting locations of invasive organisms to inform eradication and containment, Ecological Applications, 20, 5, (1217), (2010).
    • , Regional avian species declines estimated from volunteer-collected long-term data using List Length Analysis, Ecological Applications, 20, 8, (2157), (2010).
    • , Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement, BioScience, 10.1525/bio.2010.60.5.5, 60, 5, (349-362), (2010).
    • , Ecological niche modeling and geographical distribution of pollinator and plants: A case study of Peponapis fervens (Smith, 1879) (Eucerini: Apidae) and Cucurbita species (Cucurbitaceae), Ecological Informatics, 5, 1, (59), (2010).
    • , Explanative power of variables used in species distribution modelling: an issue of general model transferability or niche shift in the invasive Greenhouse frog (Eleutherodactylus planirostris), Naturwissenschaften, 10.1007/s00114-010-0694-7, 97, 9, (781-796), (2010).
    • , Investigating habitat-specific plant species pools under climate change, Basic and Applied Ecology, 11, 7, (603), (2010).
    • , The effect of data sources and quality on the predictive capacity of CLIMEX models: An assessment of Teleonemia scrupulosa and Octotoma scabripennis for the biocontrol of Lantana camara in Australia, Biological Control, 52, 1, (68), (2010).
    • , Parsimoniously modelling perennial vegetation suitability and identifying priority areas to support China's re-vegetation program in the Loess Plateau: Matching model complexity to data availability, Forest Ecology and Management, 10.1016/j.foreco.2009.05.002, 259, 7, (1277-1290), (2010).
    • , Simulating the effects of using different types of species distribution data in reserve selection, Biological Conservation, 10.1016/j.biocon.2009.11.010, 143, 2, (426-438), (2010).
    • , BioScore–Cost-effective assessment of policy impact on biodiversity using species sensitivity scores, Journal for Nature Conservation, 18, 2, (142), (2010).
    • , Combining Historical Biogeography with Niche Modeling in the Caprifolium Clade of Lonicera (Caprifoliaceae, Dipsacales), Systematic Biology, 59, 3, (322), (2010).
    • , Impacts of Anthropogenic CO2 and Climate Change on the Biology of Terrestrial and Marine Systems, Wildlife Toxicology, 10.1201/9781439817957-c6, (147-172), (2010).
    • , Anticipating Knowledge to Inform Species Management: Predicting Spatially Explicit Habitat Suitability of a Colonial Vulture Spreading Its Range, PLoS ONE, 5, 8, (e12374), (2010).
    • , Spatial and seasonal distribution of adult Oithona similis in the Southern Ocean: Predictions using boosted regression trees, Deep Sea Research Part I: Oceanographic Research Papers, 57, 4, (469), (2010).
    • , Climate change increases risk of plant invasion in the Eastern United States, Biological Invasions, 10.1007/s10530-009-9597-y, 12, 6, (1855-1872), (2009).
    • , Combining radio-telemetry and random observations to model the habitat of Near Threatened Caucasian grouse Tetrao mlokosiewiczi, Oryx, 44, 04, (491), (2010).
    • , Forecasting Weed Distributions using Climate Data: A GIS Early Warning Tool, Invasive Plant Science and Management, 3, 04, (365), (2010).
    • , The arrival, establishment and spread of exotic diseases: patterns and predictions, Nature Reviews Microbiology, 10.1038/nrmicro2336, 8, 5, (361-371), (2010).
    • , Assessment of Cerdocyon thous distribution in an agricultural mosaic, southeastern Brazil, mammalia, 74, 3, (2010).
    • , Predicting the distributions of marine organisms at the global scale, Ecological Modelling, 221, 3, (467), (2010).
    • , Ensemble analysis of the future distribution of large pelagic fishes off Australia, Progress in Oceanography, 86, 1-2, (291), (2010).
    • , Projections of suitable habitat for rare species under global warming scenarios, American Journal of Botany, 97, 6, (970-987), (2010).
    • , Species Delimitation: A Case Study in a Problematic Ant Taxon, Systematic Biology, 59, 2, (162), (2010).
    • , A maximum entropy approach to one-class classification of remote sensing imagery, International Journal of Remote Sensing, 10.1080/01431161003702245, 31, 8, (2227-2235), (2010).
    • , Just passing through: Global change and the conservation of biodiversity in protected areas, Biological Conservation, 143, 5, (1094), (2010).
    • , Regional Variation Exaggerates Ecological Divergence in Niche Models, Systematic Biology, 59, 3, (298), (2010).
    • , Rivers as islands: determinants of the distribution of Andean astroblepid catfishes, Journal of Fish Biology, 77, 10, (2373-2390), (2010).
    • , Analysis of the potential geographic range of the Pacific oyster Crassostrea gigas (Thunberg, 1793) based on surface seawater temperature satellite data and climate charts: the coast of South America as a study case, Biological Invasions, 10.1007/s10530-009-9668-0, 12, 8, (2597-2607), (2009).
    • , Antarctic penguin response to habitat change as Earth's troposphere reaches 2°C above preindustrial levels, Ecological Monographs, 80, 1, (49-66), (2010).
    • , Modelling extinction risk in multispecies data sets: phylogenetically independent contrasts versus decision trees, Biodiversity and Conservation, 10.1007/s10531-009-9709-0, 19, 1, (113-127), (2009).
    • , Range-wide analysis of wildlife habitat: Implications for conservation, Biological Conservation, 10.1016/j.biocon.2010.04.046, 143, 9, (1960-1969), (2010).
    • , Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia, Ecological Modelling, 10.1016/j.ecolmodel.2010.01.004, 221, 8, (1221-1229), (2010).
    • , On the relationship between a resource based measure of geodiversity and broad scale biodiversity patterns, Biodiversity and Conservation, 10.1007/s10531-010-9876-z, 19, 9, (2751-2766), (2010).
    • , GIS-Based Environmental Analysis, Remote Sensing, and Niche Modeling of Seaweed Communities, Seaweeds and their Role in Globally Changing Environments, 10.1007/978-90-481-8569-6_6, (93-114), (2010).
    • , Population Genetics and Ecological Niche Modelling Reveal High Fragmentation and Potential Future Extinction of the Endangered Relict Butterfly Lycaena helle, Relict Species, 10.1007/978-3-540-92160-8_25, (417-439), (2009).
    • , An ericoid shrub plays a dual role in recruiting both pines and their fungal symbionts along primary succession gradients, Oikos, 119, 11, (1727-1734), (2010).
    • , What makes a species central in a cleaning mutualism network?, Oikos, 119, 8, (1319-1325), (2010).
    • , Differential effects of host plant hybridization on herbivore community structure and grazing pressure on forest canopies, Oikos, 119, 9, (1445-1452), (2010).
    • , Interactions between the information content of different chemical cues affect induced defences in tadpoles, Oikos, 119, 11, (1814-1822), (2010).
    • , REVIEW ARTICLE: Current concepts of ameloblastoma pathogenesis, Journal of Oral Pathology & Medicine, 39, 8, (585-591), (2010).
    • , Epiphyte sensitivity to a cross-scale interaction between habitat quality and macroclimate: an opportunity for range-edge conservation, Biodiversity and Conservation, 10.1007/s10531-010-9938-2, 19, 14, (3935-3949), (2010).
    • , Current State of the Art for Statistical Modelling of Species Distributions, Spatial Complexity, Informatics, and Wildlife Conservation, 10.1007/978-4-431-87771-4_16, (273-311), (2010).
    • , How Spatial Information Contributes to the Conservation and Management of Biodiversity, Spatial Complexity, Informatics, and Wildlife Conservation, 10.1007/978-4-431-87771-4_23, (429-444), (2010).
    • , Using a Random Forest Model and Public Data to Predict the Distribution of Prey for Marine Wildlife Management, Spatial Complexity, Informatics, and Wildlife Conservation, 10.1007/978-4-431-87771-4_8, (151-163), (2010).
    • , Incorporating Spatial Autocorrelation in Species Distribution Models, Handbook of Applied Spatial Analysis, 10.1007/978-3-642-03647-7_32, (685-702), (2009).
    • , Neophyte species richness at the landscape scale under urban sprawl and climate warming, Diversity and Distributions, 15, 6, (928-939), (2009).
    • , Using species distribution models to predict new occurrences for rare plants, Diversity and Distributions, 15, 4, (565-576), (2009).
    • , Habitat suitability modelling of an invasive plant with advanced remote sensing data, Diversity and Distributions, 15, 4, (627-640), (2009).
    • , Effects of species and habitat positional errors on the performance and interpretation of species distribution models, Diversity and Distributions, 15, 4, (671-681), (2009).
    • , Divergence in an obligate mutualism is not explained by divergent climatic factors, New Phytologist, 183, 3, (589-599), (2009).
    • , Projected impacts of climate change on a continent‐wide protected area network, Ecology Letters, 12, 5, (420-431), (2009).
    • , Effect of species rarity on the accuracy of species distribution models for reptiles and amphibians in southern California, Diversity and Distributions, 15, 1, (167-177), (2008).
    • , Evaluation of consensus methods in predictive species distribution modelling, Diversity and Distributions, 15, 1, (59-69), (2008).
    • , Patterns of alien plant distribution at multiple spatial scales in a large national park: implications for ecology, management and monitoring, Diversity and Distributions, 15, 3, (367-378), (2008).
    • , Potential distribution of orchid bees outside their native range: The cases of Eulaema polychroma (Mocsáry) and Euglossa viridissima Friese in the USA (Hymenoptera: Apidae), Diversity and Distributions, 15, 3, (421-428), (2008).
    • , Distribution models for the amphibian chytrid Batrachochytrium dendrobatidis in Costa Rica: proposing climatic refuges as a conservation tool, Diversity and Distributions, 15, 3, (401-408), (2009).
    • , Predicting range overlap in two closely related species of spiders, Insect Conservation and Diversity, 2, 2, (135-141), (2009).
    • , Characterizing and predicting species distributions across environments and scales: Argentine ant occurrences in the eye of the beholder, Global Ecology and Biogeography, 18, 1, (50-63), (2008).
    • , Dispersal traits linked to range size through range location, not dispersal ability, in Western Australian angiosperms, Global Ecology and Biogeography, 18, 5, (596-606), (2009).
    • , Variable responses of skinks to a common history of rainforest fluctuation: concordance between phylogeography and palaeo‐distribution models, Molecular Ecology, 18, 3, (483-499), (2009).
    • , Inferring the past to predict the future: climate modelling predictions and phylogeography for the freshwater gastropod Radix balthica (Pulmonata, Basommatophora), Molecular Ecology, 18, 3, (534-544), (2009).
    • , Modelling the distribution of a threatened habitat: the California sage scrub, Journal of Biogeography, 36, 11, (2176-2188), (2009).
    • , Climate‐based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna, Journal of Biogeography, 36, 11, (2085-2095), (2009).
    • , Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges, Ecology Letters, 12, 4, (334-350), (2009).
    • , Patterns and causes of species richness: a general simulation model for macroecology, Ecology Letters, 12, 9, (873-886), (2009).
    • , An ecosystem model‐based estimate of changes in water availability differs from water proxies that are commonly used in species distribution models, Global Ecology and Biogeography, 18, 3, (304-313), (2009).
    • , Macroecology meets macroevolution: evolutionary niche dynamics in the seaweed Halimeda, Global Ecology and Biogeography, 18, 4, (393-405), (2009).
    • , Forecasting the potential distribution of the invasive tunicate Didemnum vexillum, Journal of Applied Ecology, 46, 1, (64-72), (2008).
    • , Monitoring habitat dynamics for rare and endangered species using satellite images and niche‐based models, Ecography, 32, 5, (888-896), (2009).
    • , Modelling the impact of Hieracium spp. on protected areas in Australia under future climates, Ecography, 32, 5, (757-764), (2009).
    • , Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models, Ecography, 32, 1, (66-77), (2009).
    • , Competition at the range boundary in the slimy salamander: using reciprocal transplants for studies on the role of biotic interactions in spatial distributions, Journal of Animal Ecology, 78, 1, (52-62), (2008).
    • , Modelling species distribution in complex environments: an evaluation of predictive ability and reliability in five shorebird species, Diversity and Distributions, 15, 2, (266-279), (2008).
    • , Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates: Nycticebus), Diversity and Distributions, 15, 2, (289-298), (2008).
    • , Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions, Diversity and Distributions, 15, 3, (409-420), (2009).
    • , From introduction to the establishment of alien species: bioclimatic differences between presence and reproduction localities in the slider turtle, Diversity and Distributions, 15, 1, (108-116), (2008).
    • , Lineage diversification in a widespread species: roles for niche divergence and conservatism in the common kingsnake, Lampropeltis getula, Molecular Ecology, 18, 16, (3443-3457), (2009).
    • , Individualistic vs community modelling of species distributions under climate change, Ecography, 32, 1, (55-65), (2009).
    • , Predicting the future of species diversity: macroecological theory, climate change, and direct tests of alternative forecasting methods, Ecography, 32, 1, (22-33), (2009).
    • , Changes in habitat specificity of species at their climatic range boundaries, Ecology Letters, 12, 10, (1091-1102), (2009).
    • , Past and future range shifts and loss of diversity in dwarf willow (Salix herbacea L.) inferred from genetics, fossils and modelling, Global Ecology and Biogeography, 18, 2, (223-239), (2008).
    • , Predicted Climate‐Driven Bird Distribution Changes and Forecasted Conservation Conflicts in a Neotropical Savanna, Conservation Biology, 23, 6, (1558-1567), (2009).
    • , A critical assessment of two species distribution models: a case study of the vervet monkey (Cercopithecus aethiops), Journal of Biogeography, 36, 12, (2300-2312), (2009).
    • , Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models, Journal of Biogeography, 36, 12, (2290-2299), (2009).
    • , Ice age distributions of European small mammals: insights from species distribution modelling, Journal of Biogeography, 36, 6, (1152-1163), (2009).
    • , Predicting global habitat suitability for stony corals on seamounts, Journal of Biogeography, 36, 6, (1111-1128), (2009).
    • , A GIS‐Based Comparison of the Mexican National and IUCN Methods for Determining Extinction Risk, Conservation Biology, 23, 5, (1156-1166), (2009).
    • , New approaches to understanding late Quaternary climate fluctuations and refugial dynamics in Australian wet tropical rain forests, Journal of Biogeography, 36, 2, (291-301), (2008).
    • , Delaying conservation actions for improved knowledge: how long should we wait?, Ecology Letters, 12, 4, (293-301), (2009).
    • , Plant Diversity Hotspots in the Atlantic Coastal Forests of Brazil, Conservation Biology, 23, 1, (151-163), (2008).
    • , Botanical richness and endemicity patterns of Borneo derived from species distribution models, Ecography, 32, 1, (180-192), (2009).
    • , Regional analysis of the impacts of climate change on cheatgrass invasion shows potential risk and opportunity, Global Change Biology, 15, 1, (196-208), (2008).
    • , Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US, Frontiers in Ecology and the Environment, 7, 8, (415-420), (2008).
    • , Assessment of Predictive Habitat Models for Bighorn Sheep in California's Peninsular Ranges, The Journal of Wildlife Management, 73, 6, (859-869), (2010).
    • , Skeletal forelimb measurements and hoof spread in relation to asymmetry in the bilateral forelimb of horses, Equine Veterinary Journal, 41, 3, (238-241), (2010).
    • , Niche shift versus niche conservatism? Climatic characteristics of the native and invasive ranges of the Mediterranean house gecko (Hemidactylus turcicus), Global Ecology and Biogeography, 18, 6, (674-687), (2009).
    • , Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change, Global Ecology and Biogeography, 18, 6, (701-710), (2009).
    • , Variation in abundance across a species' range predicts climate change responses in the range interior will exceed those at the edge: a case study with North American beaver, Global Change Biology, 15, 2, (508-522), (2008).
    • , Landscape features and crustacean prey as predictors of the Southern river otter distribution in Chile., Animal Conservation, 12, 6, (522-530), (2009).
    • , Modelling spread of the invasive macrophyte Cabomba caroliniana, Freshwater Biology, 54, 2, (296-305), (2008).
    • , Assessing the accuracy of species distribution models to predict amphibian species richness patterns, Journal of Animal Ecology, 78, 1, (182-190), (2008).
    • , Presence‐Only Data and the EM Algorithm, Biometrics, 65, 2, (554-563), (2008).
    • , Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change, Ecography, 32, 6, (897-906), (2009).
    • , Differences in spatial predictions among species distribution modeling methods vary with species traits and environmental predictors, Ecography, 32, 6, (907-918), (2009).
    • , Modeling the Effects of Anthropogenic Habitat Change on Savanna Snake Invasions into African Rainforest, Conservation Biology, 23, 1, (81-92), (2008).
    • , BIOMOD – a platform for ensemble forecasting of species distributions, Ecography, 32, 3, (369-373), (2009).
    • , Combining genetic and ecological data to assess the conservation status of the endangered Ethiopian walia ibex, Animal Conservation, 12, 2, (89-100), (2009).
    • , Species' diversity in the New Caledonian endemic genera Cephalidiosus and Nobarnus (Insecta: Heteroptera: Tingidae), an approach using phylogeny and species' distribution modelling, Biological Journal of the Linnean Society, 97, 1, (177-184), (2009).
    • , Predicting invasions in Australia by a Neotropical shrub under climate change: the challenge of novel climates and parameter estimation, Global Ecology and Biogeography, 18, 6, (688-700), (2009).
    • , Physiological responses and statistical models of the environmental niche: a comparative study of two co‐occurring Eucalyptus species, Journal of Ecology, 97, 3, (496-507), (2009).
    • , Effects of landscape composition and configuration on northern flying squirrels in a forest mosaic, Forest Ecology and Management, 10.1016/j.foreco.2009.01.028, 257, 9, (1920-1929), (2009).
    • , Present and future extension of the Iberian submediterranean territories as determined from the distribution of marcescent oaks, Plant Ecology, 10.1007/s11258-009-9584-5, 204, 2, (189-205), (2009).
    • , Statistical consensus methods for improving predictive geomorphology maps, Computers & Geosciences, 10.1016/j.cageo.2008.02.024, 35, 3, (615-625), (2009).
    • , Towards an integrated approach to modelling the risks and impacts of invasive forest species, Environmental Reviews, 17, NA, (163), (2009).
    • , Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?, Ecological Modelling, 220, 23, (3248), (2009).
    • , The performance of state-of-the-art modelling techniques depends on geographical distribution of species, Ecological Modelling, 220, 24, (3512), (2009).
    • , On the isolated population of Lewin's Honeyeater (Mel iphaga lewinii amphochlora) from the McIlwraith Range uplands, Cape York Peninsula, Australia: estimates of population size and distribution, Emu - Austral Ornithology, 109, 4, (288), (2009).
    • , Biodiversity and climate change use scenarios framework for the GEOSS interoperability pilot process, Ecological Informatics, 4, 1, (23), (2009).
    • , Modelling habitat selection of the cryptic Hazel Grouse Bonasa bonasia in a montane forest, Journal of Ornithology, 10.1007/s10336-009-0390-6, 150, 4, (717-732), (2009).
    • , Climate, Niche Evolution, and Diversification of the “Bird‐Cage” Evening Primroses (Oenothera, SectionsAnograandKleinia), The American Naturalist, 173, 2, (225), (2009).
    • , Robust planning for restoring diadromous fish species in New Zealand's lowland rivers and streams, New Zealand Journal of Marine and Freshwater Research, 10.1080/00288330909510032, 43, 3, (659-671), (2009).
    • , Estimating the effects of detection heterogeneity and overdispersion on trends estimated from avian point counts, Ecological Applications, 19, 8, (2049), (2009).
    • , Using summed individual species models and state-of-the-art modelling techniques to identify threatened plant species hotspots, Biological Conservation, 142, 11, (2501), (2009).
    • , Distribuição geográfica potencial de espécies americanas do caranguejo "violinista" (Uca spp.) (Crustacea, Decapoda) com base em modelagem de nicho ecológico, Iheringia. Série Zoologia, 99, 1, (92), (2009).
    • , Profiling ecosystem vulnerability to invasion by zebra mussels with support vector machines, Theoretical Ecology, 10.1007/s12080-009-0050-8, 2, 4, (189-198), (2009).
    • , PredictingLeptodactylus(Amphibia, Anura, Leptodactylidae) Distributions: Broad-Ranging Versus Patchily Distributed Species Using a Presence-Only Environmental Niche Modeling Technique, South American Journal of Herpetology, 4, 2, (103), (2009).
    • , Spatial predictive distribution modelling of the kelp species Laminaria hyperborea, ICES Journal of Marine Science, 10.1093/icesjms/fsp195, 66, 10, (2106-2115), (2009).
    • , Risk Maps of Lassa Fever in West Africa, PLoS Neglected Tropical Diseases, 3, 3, (e388), (2009).
    • , Integrating bioclimate with population models to improve forecasts of species extinctions under climate change, Biology Letters, 10.1098/rsbl.2009.0480, 5, 6, (723-725), (2009).
    • , Predicting the occurrence of Middle Spotted Woodpecker Dendrocopos medius on a regional scale, using forest inventory data, Forest Ecology and Management, 257, 2, (502), (2009).
    • , Use of Maximum Entropy Modeling in Wildlife Research, Entropy, 11, 4, (854), (2009).
    • , Modeling the Geographical Distribution and Fundamental Niches of Cacajao spp. and Chiropotes israelita in Northwestern Amazonia via a Maximum Entropy Algorithm, International Journal of Primatology, 10.1007/s10764-009-9335-4, 30, 2, (217-228), (2009).
    • , Multi-level discrepancies with sharing data on protected areas: What we have and what we need for the global village, Journal of Environmental Management, 90, 1, (8), (2009).
    • , Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?, Ecological Modelling, 220, 4, (589), (2009).
    • , Hutchinson's duality: The once and future niche, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19651), (2009).
    • , Rapid evaluation of metapopulation persistence in highly variegated landscapes, Biological Conservation, 142, 3, (529), (2009).
    • , Species Distribution Models: Ecological Explanation and Prediction Across Space and Time, Annual Review of Ecology, Evolution, and Systematics, 40, 1, (677), (2009).
    • , Ecological specialization and population size in a biodiversity hotspot: How rare species avoid extinction, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19737), (2009).
    • , A Robust Technique for Mapping Vegetation Condition Across a Major River System, Ecosystems, 10.1007/s10021-008-9218-0, 12, 2, (207-219), (2008).
    • , Historically calibrated predictions of butterfly species' range shift using global change as a pseudo‐experiment, Ecology, 90, 8, (2213-2222), (2009).
    • , Niche based distribution modelling of an invasive alien plant: effects of population status, propagule pressure and invasion history, Biological Invasions, 10.1007/s10530-009-9424-5, 11, 10, (2401-2414), (2009).
    • , Testing Species-Level Diversification Hypotheses in Madagascar: The Case of Microendemic Brookesia Leaf Chameleons, Systematic Biology, 58, 6, (641), (2009).
    • , Quantifying ecological, morphological, and genetic variation to delimit species in the coast horned lizard species complex (Phrynosoma), Proceedings of the National Academy of Sciences, 106, 30, (12418), (2009).
    • , The Landscape Species Approach: spatially-explicit conservation planning applied in the Adirondacks, USA, and San Guillermo-Laguna Brava, Argentina, landscapes, Oryx, 43, 04, (476), (2009).
    • , Evolutionary Time for Dispersal Limits the Extent but Not the Occupancy of Species’ Potential Ranges in the Tropical Plant GenusPsychotria(Rubiaceae), The American Naturalist, 173, 2, (188), (2009).
    • , Niche modelling and landscape genetics of Caryocar brasiliense (“Pequi” tree: Caryocaraceae) in Brazilian Cerrado: an integrative approach for evaluating central–peripheral population patterns, Tree Genetics & Genomes, 10.1007/s11295-009-0214-0, 5, 4, (617-627), (2009).
    • , Climatic extremes improve predictions of spatial patterns of tree species, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19723), (2009).
    • , A Tale of Four “Carp”: Invasion Potential and Ecological Niche Modeling, PLoS ONE, 4, 5, (e5451), (2009).
    • , Use of landscape pattern metrics and multiscale data in aquatic species distribution models: a case study of a freshwater mussel, Landscape Ecology, 10.1007/s10980-009-9373-5, 24, 7, (943-955), (2009).
    • , Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging, Ecological Modelling, 220, 24, (3499), (2009).
    • , Will future anthropogenic climate change increase the potential distribution of the alien invasive Cuban treefrog (Anura: Hylidae)?, Journal of Natural History, 43, 19-20, (1207), (2009).
    • , The Link Between Rapid Enigmatic Amphibian Decline and the Globally Emerging Chytrid Fungus, EcoHealth, 10.1007/s10393-010-0281-6, 6, 3, (358-372), (2010).
    • , Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation, Tropical Conservation Science, 2, 3, (319), (2009).
    • , The GEOSS Interoperability Process Pilot Project (IP3), IEEE Transactions on Geoscience and Remote Sensing, 47, 1, (80), (2009).
    • , Shifting suitability for malaria vectors across Africa with warming climates, BMC Infectious Diseases, 10.1186/1471-2334-9-59, 9, 1, (2009).
    • , Multivariate forecasts of potential distributions of invasive plant species, Ecological Applications, 19, 2, (359-375), (2009).
    • , Mapping Invasive Tamarisk (Tamarix): A Comparison of Single-Scene and Time-Series Analyses of Remotely Sensed Data, Remote Sensing, 1, 4, (519), (2009).
    • , Relative density of finds for assessing similarity-based maps of orchid occurrence, Ecological Modelling, 220, 3, (294), (2009).
    • , Alien Invasive Slider Turtle in Unpredicted Habitat: A Matter of Niche Shift or of Predictors Studied?, PLoS ONE, 4, 11, (e7843), (2009).
    • , A priori valuation of land use for the conservation of black rhinoceros (Diceros bicornis), Biological Conservation, 142, 2, (384), (2009).
    • , Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa, Parasitology, 136, 13, (1683), (2009).
    • , A prototype forecasting system for bird-borne disease spread in North America based on migratory bird movements, Epidemics, 1, 4, (240), (2009).
    • , What parts of the US mainland are climatically suitable for invasive alien pythons spreading from Everglades National Park?, Biological Invasions, 10.1007/s10530-008-9228-z, 11, 2, (241-252), (2008).
    • , Climate change impact predictions on Pinus patula and Pinus tecunumanii populations in Mexico and Central America, Forest Ecology and Management, 257, 7, (1566), (2009).
    • , Dangers of predicting bird species distributions in response to land‐cover changes, Ecological Applications, 19, 2, (538-549), (2009).
    • , Biogeography and conservation of taxa from remote regions: An application of ecological-niche based models and GIS to North-African canids, Biological Conservation, 142, 12, (3020), (2009).
    • , Prevalence-adjusted optimisation of fuzzy habitat suitability models for aquatic invertebrate and fish species in New Zealand, Ecological Informatics, 4, 4, (215), (2009).
    • , Differences in bioregional classifications among four aquatic biotic groups: Implications for conservation reserve design and monitoring programs, Journal of Environmental Management, 90, 8, (2652), (2009).
    • , Using Biotic Interaction Networks for Prediction in Biodiversity and Emerging Diseases, PLoS ONE, 4, 5, (e5725), (2009).
    • , The effect of species response form on species distribution model prediction and inference, Ecological Modelling, 220, 19, (2365), (2009).
    • , Ecological niche modelling of the distribution of cold-water coral habitat using underwater remote sensing data, Ecological Informatics, 4, 2, (83), (2009).
    • , Using monitoring data gathered by volunteers to predict the potential distribution of the invasive alien bumblebee Bombus terrestris, Biological Conservation, 142, 5, (1011), (2009).
    • , Major current and future gaps of Brazilian reserves to protect Neotropical savanna birds, Biological Conservation, 142, 12, (3039), (2009).
    • , Multispecies Conservation Planning on U.S. Federal Lands, Models for Planning Wildlife Conservation in Large Landscapes, 10.1016/B978-0-12-373631-4.00003-4, (51-83), (2009).
    • , The convergence of Integrated Coastal Zone Management and the ecosystems approach, Ocean & Coastal Management, 52, 6, (294), (2009).
    • , Literature Cited, Problem‐Solving in Conservation Biology and Wildlife Management, (310-315), (2009).
    • , A method for predicting native vegetation condition at regional scales, Landscape and Urban Planning, 91, 2, (65), (2009).
    • , Niches, models, and climate change: Assessing the assumptions and uncertainties, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19729), (2009).
    • , Prevalence-adjusted optimisation of fuzzy models for species distribution, Ecological Modelling, 10.1016/j.ecolmodel.2009.04.020, 220, 15, (1776-1786), (2009).
    • , Methods for Determining Viability of Wildlife Populations in Large Landscapes, Models for Planning Wildlife Conservation in Large Landscapes, 10.1016/B978-0-12-373631-4.00017-4, (449-471), (2009).
    • , Modeling the distribution of white spruce (Picea glauca) for Alaska with high accuracy: an open access role-model for predicting tree species in last remaining wilderness areas, Polar Biology, 10.1007/s00300-009-0671-9, 32, 12, (1717-1729), (2009).
    • , Environmental controls on the distribution of wildfire at multiple spatial scales, Ecological Monographs, 79, 1, (127-154), (2009).
    • , Morphological and genetic variation in Mormopterus jugularis (Chiroptera: Molossidae) in different bioclimatic regions of Madagascar with natural history notes, mammalia, 73, 2, (2009).
    • , Richness patterns, species distributions and the principle of extreme deconstruction, Global Ecology and Biogeography, 18, 2, (123-136), (2009).
    • , Geographic Approaches to Biodiversity Conservation, Models for Planning Wildlife Conservation in Large Landscapes, 10.1016/B978-0-12-373631-4.00004-6, (85-121), (2009).
    • , Evaluating the invasiveness of Acacia paradoxa in South Africa, South African Journal of Botany, 75, 3, (485), (2009).
    • , Spatial patterns of species richness in New World coral snakes and the metabolic theory of ecology, Acta Oecologica, 35, 2, (163), (2009).
    • , A Quantitative Climate-Match Score for Risk-Assessment Screening of Reptile and Amphibian Introductions, Environmental Management, 10.1007/s00267-009-9311-y, 44, 3, (590-607), (2009).
    • , Landscape-Level Planning for Conservation of Wetland Birds in the U.S. Prairie Pothole Region, Models for Planning Wildlife Conservation in Large Landscapes, 10.1016/B978-0-12-373631-4.00020-4, (533-560), (2009).
    • , Global Amphibian Extinction Risk Assessment for the Panzootic Chytrid Fungus, Diversity, 1, 2, (52), (2009).
    • , Multiple scale analysis of factors influencing the distribution of an invasive aquatic grass, Biological Invasions, 10.1007/s10530-008-9368-1, 11, 8, (1903-1912), (2008).
    • , Modelling the abundance of wildlife using field surveys and GIS: non-native sambar deer (Cervus unicolor) in the Yarra Ranges, south-eastern Australia, Wildlife Research, 10.1071/WR08075, 36, 3, (231), (2009).
    • , Identifying Rocky Seabed Using GIS-Modeled Predictor Variables, Marine Geodesy, 32, 4, (379), (2009).
    • , Systematic conservation assessment for the Mesoamerica, Chocó, and Tropical Andes biodiversity hotspots: a preliminary analysis, Biodiversity and Conservation, 10.1007/s10531-008-9559-1, 18, 7, (1793-1828), (2008).
    • , Geographic and Phylogeographic Variation inChaerephon leucogaster(Chiroptera: Molossidae) of Madagascar and the Western Indian Ocean Islands of Mayotte and Pemba, Acta Chiropterologica, 11, 1, (25), (2009).
    • , Conservation biogeography of mammals in the Cerrado biome under the unified theory of macroecology, Acta Oecologica, 35, 5, (630), (2009).
    • , Dynamics of range margins for metapopulations under climate change, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2008.1681, 276, 1661, (1415-1420), (2009).
    • , Scale effects in species distribution models: implications for conservation planning under climate change, Biology Letters, 10.1098/rsbl.2008.0476, 5, 1, (39-43), (2009).
    • , Periglacial distribution modelling with a boosting method, Permafrost and Periglacial Processes, 20, 1, (15-25), (2008).
    • , Using distribution models to test alternative hypotheses about a species’ environmental limits and recovery prospects, Biological Conservation, 142, 3, (488), (2009).
    • , Reconstruction of the climate envelopes of salamanders and their evolution through time, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19715), (2009).
    • , Identifying priority sites for the conservation of freshwater fish biodiversity in a Mediterranean basin with a high degree of threatened endemics, Hydrobiologia, 10.1007/s10750-008-9653-0, 623, 1, (127-140), (2008).
    • , Translating natural history into geographic space: a macroecological perspective on the North American Slider,Trachemys scripta(Reptilia, Cryptodira, Emydidae), Journal of Natural History, 43, 39-40, (2525), (2009).
    • , Modelling species distributions with high resolution remote sensing data to delineate patterns of plant diversity in the Sahel zone of Burkina Faso, Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment, 10.1201/9780203875445.ch13, (199-209), (2010).
    • , Effect of characteristics of butterfly species on the accuracy of distribution models in an arid environment, Biodiversity and Conservation, 10.1007/s10531-009-9668-5, 18, 13, (3629-3641), (2009).
    • , Modelling of historical stonefly distributions using museum specimens, Aquatic Insects, 31, sup1, (253), (2009).
    • , Do climate envelope models transfer? A manipulative test using dung beetle introductions, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2008.1801, 276, 1661, (1449-1457), (2009).
    • , Diversity and distribution models of horse fl ies (Diptera: Tabanidae) from Ecuador, Annales de la Société entomologique de France (N.S.), 45, 4, (511), (2009).
    • , Modelling the spatial distribution of tree species with fragmented populations from abundance data, Community Ecology, 10.1556/ComEc.10.2009.2.12, 10, 2, (215-224), (2009).
    • , Niches and distributional areas: Concepts, methods, and assumptions, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19644), (2009).
    • , Habitat prediction model for three-toed woodpecker and its implications for the conservation of biologically valuable forests, Forest Ecology and Management, 258, 5, (697), (2009).
    • , Towards a climate change adaptation strategy for coffee communities and ecosystems in the Sierra Madre de Chiapas, Mexico, Mitigation and Adaptation Strategies for Global Change, 10.1007/s11027-009-9186-5, 14, 7, (605-625), (2009).
    • , On the conspecifity of Allactaga hotsoni Thomas, 1920 and Allactaga firouzi Womochel, 1978 (Rodentia: Dipodoidea), mammalia, 73, 3, (2009).
    • , Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data, Ecological Applications, 19, 1, (181-197), (2009).
    • , Distribution of the hantavirus reservoir Oligoryzomys nigripes in Argentina: choosing spatial models for the actual and potential distribution of the black-footed colilargo, mammalia, 73, 4, (2009).
    • , Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses, Biodiversity and Conservation, 10.1007/s10531-009-9604-8, 18, 9, (2509-2520), (2009).
    • , Applying spatial conservation prioritization software and high-resolution GIS data to a national-scale study in forest conservation, Forest Ecology and Management, 258, 11, (2439), (2009).
    • , Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms, Biological Invasions, 10.1007/s10530-008-9335-x, 11, 6, (1231-1237), (2008).
    • , Evaluating effects of spectral training data distribution on continuous field mapping performance, ISPRS Journal of Photogrammetry and Remote Sensing, 10.1016/j.isprsjprs.2009.04.005, 64, 6, (665-673), (2009).
    • , Predicting Geographic Distribution of Seven Forensically Significant Blowfly Species (Diptera: Calliphoridae) in South Africa, African Entomology, 17, 2, (170), (2009).
    • , Ecological niches and their evolution among Neotropical manakins (Aves: Pipridae), Journal of Avian Biology, 40, 6, (591-604), (2009).
    • , Plant Biosecurity in the United states: Roles, Responsibilities, and Information Needs, BioScience, 59, 10, (875), (2009).
    • , Predicted Geographic Ranges for North American Sylvatic Trichinella Species, Journal of Parasitology, 95, 4, (829), (2009).
    • , Potential 21st century changes to the mammal fauna of Denmark – implications of climate change, land-use, and invasive species, IOP Conference Series: Earth and Environmental Science, 8, (012016), (2009).
    • , Distribution, ecology and conservation of an endangered Andean hummingbird: the Violet-throated Metaltail ( Metallura baroni), Bird Conservation International, 19, 01, (63), (2009).
    • , Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula, Biological Invasions, 10.1007/s10530-008-9313-3, 11, 4, (1017-1031), (2008).
    • , Current and Potential Distributions of Three Non-Native Invasive Plants in the Contiguous USA, Natural Areas Journal, 29, 4, (332), (2009).
    • , Comparing niche- and process-based models to reduce prediction uncertainty in species range shifts under climate change, Ecology, 90, 5, (1301), (2009).
    • , Mapping risk foci for endemic sheep scab, Veterinary Parasitology, 165, 1-2, (112), (2009).
    • , The Effects of Governmental Protected Areas and Social Initiatives for Land Protection on the Conservation of Mexican Amphibians, PLoS ONE, 4, 9, (e6878), (2009).
    • , Birds track their Grinnellian niche through a century of climate change, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19637), (2009).
    • , Climate change sensitivity of the African ivory nut palm,Hyphaene petersianaKlotzsch ex Mart. (Arecaceae) – a keystone species in SE Africa, IOP Conference Series: Earth and Environmental Science, 8, (012014), (2009).
    • , Predicting Landscape-Scale Habitat Distribution for Ruffed GrouseBonasa umbellusUsing Presence-Only Data, Wildlife Biology, 15, 4, (380), (2009).
    • , Near term climate projections for invasive species distributions, Biological Invasions, 10.1007/s10530-008-9345-8, 11, 6, (1373-1379), (2008).
    • , Spatial-explicit assessment of current and future conservation options for the endangered Corsican Red Deer (Cervus elaphus corsicanus) in Sardinia, Biodiversity and Conservation, 10.1007/s10531-008-9569-z, 18, 8, (2001-2016), (2009).
    • , Avulsion regimes in southeast Texas rivers, Earth Surface Processes and Landforms, 34, 1, (75-87), (2008).
    • , The effect of Asp54 phosphorylation on the energetics and dynamics in the response regulator protein Spo0F studied by molecular dynamics, "Proteins: Structure, Function, and Bioinformatics", 75, 3, (648-658), (2008).
    • , Unifying mechanical and thermodynamic descriptions across the thioredoxin protein family, Proteins: Structure, Function, and Bioinformatics, 75, 3, (610-627), (2008).
    • , Accurate prediction for atomic‐level protein design and its application in diversifying the near‐optimal sequence space, "Proteins: Structure, Function, and Bioinformatics", 75, 3, (682-705), (2008).
    • , Structure of the S1S2 glutamate binding domain of GLuR3, "Proteins: Structure, Function, and Bioinformatics", 75, 3, (628-637), (2008).
    • , Structural basis for the complete loss of GSK3β catalytic activity due to R96 mutation investigated by molecular dynamics study, "Proteins: Structure, Function, and Bioinformatics", 75, 3, (671-681), (2008).
    • , Trapping open and closed forms of FitE—A group III periplasmic binding protein, "Proteins: Structure, Function, and Bioinformatics", 75, 3, (598-609), (2008).
    • , Midday depression of photosynthesis and effects of mist spray in citrus, Annals of Applied Biology, 154, 1, (143-155), (2008).
    • , Systemic hyalinosis mutations in the CMG2 ectodomain leading to loss of function through retention in the endoplasmic reticulum, Human Mutation, 30, 4, (583-589), (2009).
    • , LGI1 mutations in autosomal dominant and sporadic lateral temporal epilepsy, Human Mutation, 30, 4, (530-536), (2009).
    • , Predicting Postprandial Lipemia in Healthy Adults and in At‐Risk Individuals With Components of the Cardiometabolic Syndrome, The Journal of Clinical Hypertension, 11, 11, (663-671), (2009).
    • , Morphology, binding behavior and MR‐properties of paramagnetic collagen‐binding liposomes, Contrast Media & Molecular Imaging, 4, 2, (81-88), (2009).
    • , The association between climate teleconnection indices and Upper Klamath seasonal streamflow: Trans‐Niño Index, Hydrological Processes, 23, 7, (973-984), (2009).
    • , Avian Spatial Responses to Forest Spatial Heterogeneity at the Landscape Level: Conceptual and Statistical Challenges, Real World Ecology, 10.1007/978-0-387-77942-3_6, (137-160), (2009).
    • , Gaussian Semiparametric Analysis Using Hierarchical Predictive Models, Modeling Demographic Processes In Marked Populations, 10.1007/978-0-387-78151-8_46, (1011-1035), (2009).
    • , Temporal Management of Invasive Species, Management of Invasive Weeds, 10.1007/978-1-4020-9202-2_6, (103-122), (2009).
    • , Soa Based Integration Information Serviceplatform Strategy In Rural Informatization, Computer and Computing Technologies in Agriculture II, Volume 3, 10.1007/978-1-4419-0213-9_42, (1919-1927), (2009).
    • , Modelling pink‐footed goose (Anser brachyrhynchus) wintering distributions for the year 2050: potential effects of land‐use change in Europe, Diversity and Distributions, 14, 5, (721-731), (2008).
    • , Effects of sample size on the performance of species distribution models, Diversity and Distributions, 14, 5, (763-773), (2008).
    • , GIS‐based niche models identify environmental correlates sustaining a contact zone between three species of European vipers, Diversity and Distributions, 14, 3, (452-461), (2008).
    • , Combined modelling of distribution and niche in invasion biology: a case study of two invasive Tetramorium ant species, Diversity and Distributions, 14, 3, (538-545), (2008).
    • , Prediction of plant species distributions across six millennia, Ecology Letters, 11, 4, (357-369), (2008).
    • , Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes?, Journal of Biogeography, 35, 1, (105-116), (2007).
    • , Applying climatically associated species pools to the modelling of compositional change in tropical montane forests, Global Ecology and Biogeography, 17, 2, (262-273), (2007).
    • , Phylogenetic beta diversity: linking ecological and evolutionary processes across space in time, Ecology Letters, 11, 12, (1265-1277), (2008).
    • , Solving the maximum representation problem to prioritize areas for the conservation of terrestrial mammals at risk in Oaxaca, Diversity and Distributions, 14, 3, (493-508), (2008).
    • , Where might the western Svalbard tundra be vulnerable to pink‐footed goose (Anser brachyrhynchus) population expansion? Clues from species distribution models, Diversity and Distributions, 14, 1, (26-37), (2007).
    • , Transferability, sample selection bias and background data in presence‐only modelling: a response to Peterson et al. (2007), Ecography, 31, 2, (272-278), (2008).
    • , Not as good as they seem: the importance of concepts in species distribution modelling, Diversity and Distributions, 14, 6, (885-890), (2008).
    • , Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 31, 2, (161-175), (2008).
    • , Developing an approach to defining the potential distributions of invasive plant species: a case study of Hakea species in South Africa, Global Ecology and Biogeography, 17, 5, (569-584), (2008).
    • , Modelling species distributions without using species distributions: the cane toad in Australia under current and future climates, Ecography, 31, 4, (423-434), (2008).
    • , The California Hotspots Project: identifying regions of rapid diversification of mammals, Molecular Ecology, 17, 1, (120-138), (2007).
    • , Spatial autocorrelation and the selection of simultaneous autoregressive models, Global Ecology and Biogeography, 17, 1, (59-71), (2007).
    • , Environmental data sets matter in ecological niche modelling: an example with Solenopsis invicta and Solenopsis richteri, Global Ecology and Biogeography, 17, 1, (135-144), (2007).
    • , Adaptation, migration or extirpation: climate change outcomes for tree populations, Evolutionary Applications, 1, 1, (95-111), (2008).
    • , Reconstructing the demise of Tethyan plants: climate‐driven range dynamics of since the Pliocene, Global Ecology and Biogeography, 17, 6, (685-695), (2008).
    • , Use of guilds for modelling avian responses to vegetation in the Intermountain West (USA), Global Ecology and Biogeography, 17, 6, (758-769), (2008).
    • , The global biogeography of semi‐arid periodic vegetation patterns, Global Ecology and Biogeography, 17, 6, (715-723), (2008).
    • , A successful community‐level strategy for conservation prioritization, Journal of Applied Ecology, 45, 5, (1436-1445), (2008).
    • , Toward improved species niche modelling: Arnica montana in the Alps as a case study, Journal of Applied Ecology, 45, 5, (1410-1418), (2008).
    • , Maximizing conservation benefit for grassland species with contrasting management requirements, Journal of Applied Ecology, 45, 5, (1401-1409), (2008).
    • , A topography‐based model of forest cover at the alpine tree line in the tropical Andes, Journal of Biogeography, 35, 4, (711-723), (2007).
    • , Dispersal, disturbance and the contrasting biogeographies of New Zealand’s diadromous and non‐diadromous fish species, Journal of Biogeography, 35, 8, (1481-1497), (2008).
    • , The value of georeferenced collection records for predicting patterns of mosquito species richness and endemism in the Neotropics, Ecological Entomology, 33, 1, (12-23), (2007).
    • , A working guide to boosted regression trees, Journal of Animal Ecology, 77, 4, (802-813), (2008).
    • , Differences in the degree of environmental control on large and small tropical plants: just a sampling effect?, Journal of Ecology, 96, 2, (367-377), (2008).
    • , Glacial refugia of temperate trees in Europe: insights from species distribution modelling, Journal of Ecology, 96, 6, (1117-1127), (2008).
    • , Prediction of the distribution of Arctic‐nesting pink‐footed geese under a warmer climate scenario, Global Change Biology, 14, 1, (1-10), (2007).
    • , Predicting species distributions across the Amazonian and Andean regions using remote sensing data, Journal of Biogeography, 35, 7, (1160-1176), (2008).
    • , Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest, Journal of Biogeography, 35, 7, (1187-1201), (2008).
    • , A method for spatial freshwater conservation prioritization, Freshwater Biology, 53, 3, (577-592), (2007).
    • , The past and future influence of geographic information systems on hybrid zone, phylogeographic and speciation research, Journal of Evolutionary Biology, 21, 2, (421-434), (2008).
    • , Protected Areas and Climate Change, Annals of the New York Academy of Sciences, 1134, 1, (201-212), (2008).
    • , Species traits are associated with the quality of bioclimatic models, Global Ecology and Biogeography, 17, 3, (403-414), (2008).
    • , AUC: a misleading measure of the performance of predictive distribution models, Global Ecology and Biogeography, 17, 2, (145-151), (2007).
    • , The influence of spatial errors in species occurrence data used in distribution models, Journal of Applied Ecology, 45, 1, (239-247), (2007).
    • , Accounting for population variation improves estimates of the impact of climate change on species’ growth and distribution, Journal of Applied Ecology, 45, 4, (1040-1049), (2008).
    • , Modelling the occurrence of threatened plant species in taiga landscapes: methodological and ecological perspectives, Journal of Biogeography, 35, 10, (1888-1905), (2008).
    • , Step‐less models for regional environmental variation in Norway, Journal of Biogeography, 35, 10, (1906-1922), (2008).
    • , Dispersal limitation and geographical distributions of mammal species, Journal of Biogeography, 35, 10, (1879-1887), (2008).
    • , Modelling and predicting fungal distribution patterns using herbarium data, Journal of Biogeography, 35, 12, (2298-2310), (2008).
    • , Ecological niches and potential geographical distributions of Mediterranean fruit fly (Ceratitis capitata) and Natal fruit fly (Ceratitis rosa), Journal of Biogeography, 35, 2, (270-281), (2007).
    • , Historical distribution and regional dynamics of two Brassica species, Ecography, 31, 6, (673-684), (2008).
    • , Usefulness of Bioclimatic Models for Studying Climate Change and Invasive Species, Annals of the New York Academy of Sciences, 1134, 1, (1-24), (2008).
    • , Historical bias in biodiversity inventories affects the observed environmental niche of the species, Oikos, 117, 6, (847-858), (2008).
    • , Habitat shifts of endangered species under altered climate conditions: importance of biotic interactions, Global Change Biology, 14, 11, (2501-2515), (2008).
    • , Editorial: launching Software Notes, Ecography, 31, 1, (3-3), (2008).
    • , THE FACTORIAL DECOMPOSITION OF THE MAHALANOBIS DISTANCES IN HABITAT SELECTION STUDIES, Ecology, 89, 2, (555-566), (2008).
    • , Modeling distributions of disjunct populations of the Sierra Madre Sparrow, Journal of Field Ornithology, 79, 3, (245-253), (2008).
    • , Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia, Global Change Biology, 14, 6, (1337-1352), (2008).
    • , Phylogenetic perspective on ecological niche evolution in american blackbirds (Family Icteridae), Biological Journal of the Linnean Society, 94, 4, (869-878), (2008).
    • , Inferring evolutionary scenarios with geostatistics and geographical information systems for the viperid snakes Vipera latastei and Vipera monticola, Biological Journal of the Linnean Society, 95, 4, (790-806), (2008).
    • , A comparison of predictive methods in modelling the distribution of periglacial landforms in Finnish Lapland, Earth Surface Processes and Landforms, 33, 14, (2241-2254), (2008).
    • , Continental speciation in the tropics: contrasting biogeographic patterns of divergence in the Uroplatus leaf‐tailed gecko radiation of Madagascar, Journal of Zoology, 275, 4, (423-440), (2008).
    • , ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION, Evolution, 62, 11, (2868-2883), (2008).
    • , Application of common predictive habitat techniques for post‐border weed risk management, Diversity and Distributions, 14, 2, (213-224), (2007).
    • , Novel methods for the design and evaluation of marine protected areas in offshore waters, Conservation Letters, 1, 2, (91-102), (2008).
    • , Integrated Monitoring and Information Systems for Managing Aquatic Invasive Species in a Changing Climate, Conservation Biology, 22, 3, (575-584), (2008).
    • , Use of Community‐Composition Data to Predict the Fecundity and Abundance of Species, Conservation Biology, 22, 6, (1523-1532), (2008).
    • , Diminishing return on investment for biodiversity data in conservation planning, Conservation Letters, 1, 4, (190-198), (2008).
    • , Climate change hastens the turnover of stream fish assemblages, Global Change Biology, 14, 10, (2232-2248), (2008).
    • , Spatial scale affects bioclimate model projections of climate change impacts on mountain plants, Global Change Biology, 14, 5, (1089-1103), (2008).
    • , Modelling invasion for a habitat generalist and a specialist plant species, Diversity and Distributions, 14, 5, (808-817), (2008).
    • , Contraction in the range of Malleefowl (Leipoa ocellata) in Western Australia: a comparative assessment using presence-only and presence—absence datasets, Emu - Austral Ornithology, 108, 3, (221), (2008).
    • , Modelling potential habitat of the invasive ctenophore Mnemiopsis leidyi in Aegean Sea, Hydrobiologia, 10.1007/s10750-008-9497-7, 612, 1, (281-295), (2008).
    • , Comparing ensemble and cascaded neural networks that combine biotic and abiotic variables to predict insect species distribution, Ecological Informatics, 3, 6, (354), (2008).
    • , Breeding habitat preferences of 15 bird species on south-western Finnish archipelago coast: Applicability of digital spatial data archives to habitat assessment, Biological Conservation, 141, 2, (402), (2008).
    • , Predicting Potential Occurrence and Spread of Invasive Plant Species along the North Platte River, Nebraska, Invasive Plant Science and Management, 1, 04, (359), (2008).
    • , Climate-driven range dynamics of the freshwater limpet,Ancylus fluviatilis(Pulmonata, Basommatophora), Journal of Biogeography, 35, 9, (1580), (2008).
    • , Phytophthora cinnamomi and Australia's biodiversity: impacts, predictions and progress towards control, Australian Journal of Botany, 10.1071/BT07159, 56, 4, (279), (2008).
    • , A reference business process for ecological niche modelling, Ecological Informatics, 3, 1, (75), (2008).
    • , Variability in 20th century climate change reconstructions and its consequences for predicting geographic responses of California mammals, Global Change Biology, 14, 10, (2215-2231), (2008).
    • , Macrophysiology for a changing world, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2008.0137, 275, 1642, (1469-1478), (2008).
    • , The effect of climate change on crop wild relatives, Agriculture, Ecosystems & Environment, 126, 1-2, (13), (2008).
    • , Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia), Deep Sea Research Part I: Oceanographic Research Papers, 10.1016/j.dsr.2008.04.010, 55, 8, (1048-1062), (2008).
    • , Challenges of species distribution modeling belowground, Journal of Plant Nutrition and Soil Science, 171, 3, (325-337), (2008).
    • , GIS analysis of spatial patterns of human-caused wildfire ignition risk in the SW of Madrid (Central Spain), Landscape Ecology, 10.1007/s10980-008-9190-2, 23, 3, (341-354), (2008).
    • , Multi‐scale analysis of species introductions: combining landscape and demographic models to improve management decisions about non‐native species, Journal of Applied Ecology, 45, 6, (1639-1648), (2008).
    • , The toad ahead: challenges of modelling the range and spread of an invasive species, Wildlife Research, 10.1071/WR07101, 35, 3, (222), (2008).
    • , Shifting Global Invasive Potential of European Plants with Climate Change, PLoS ONE, 3, 6, (e2441), (2008).
    • , ESTIMATING SPECIES OCCURRENCE, ABUNDANCE, AND DETECTION PROBABILITY USING ZERO-INFLATED DISTRIBUTIONS, Ecology, 89, 10, (2953), (2008).
    • , Spatial analysis improves species distribution modelling during range expansion, Biology Letters, 10.1098/rsbl.2008.0210, 4, 5, (577-580), (2008).
    • , Estimating Neotropical palaeotemperature and palaeoprecipitation using plant family climatic optima, Palaeogeography, Palaeoclimatology, Palaeoecology, 265, 3-4, (226), (2008).
    • , Deep‐sea nematode biodiversity in the Mediterranean basin: testing for longitudinal, bathymetric and energetic gradients, Ecography, 31, 2, (231-244), (2008).
    • , Rethinking receiver operating characteristic analysis applications in ecological niche modeling, Ecological Modelling, 213, 1, (63), (2008).
    • , Predicting current and future biological invasions: both native and invaded ranges matter, Biology Letters, 10.1098/rsbl.2008.0254, 4, 5, (585-589), (2008).
    • , Potential Distribution of Two Species in the Medically Important Anopheles minimus Complex (Diptera: Culicidae) , Journal of Medical Entomology, 45, 5, (852), (2008).
    • , Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007), Ecography, 0, 0, (080227084236895), (2008).
    • , Modelling the recent and potential future spatial distribution of the Ring Ouzel (Turdus torquatus) and Blackbird (T. merula) in Switzerland, Journal of Ornithology, 10.1007/s10336-008-0295-9, 149, 4, (529-544), (2008).
    • , Aligning Conservation Priorities Across Taxa in Madagascar with High-Resolution Planning Tools, Science, 320, 5873, (222), (2008).
    • , Using species distribution models to effectively conserve biodiversity into the future, Biodiversity, 9, 3-4, (39), (2008).
    • , Biogeography of diseases: a framework for analysis, Naturwissenschaften, 10.1007/s00114-008-0352-5, 95, 6, (483-491), (2008).
    • , Paleodistributions and Comparative Molecular Phylogeography of Leafcutter Ants (Atta spp.) Provide New Insight into the Origins of Amazonian Diversity, PLoS ONE, 3, 7, (e2738), (2008).
    • , Predictive modeling and mapping sage grouse (Centrocercus urophasianus) nesting habitat using Maximum Entropy and a long-term dataset from Southern Oregon, Ecological Informatics, 3, 6, (375), (2008).
    • , Ecologic Niche Modeling of Blastomyces dermatitidis in Wisconsin, PLoS ONE, 3, 4, (e2034), (2008).
    • , Giants invading the tropics: the oriental vessel fern, Angiopteris evecta (Marattiaceae), Biological Invasions, 10.1007/s10530-007-9197-7, 10, 8, (1215-1228), (2007).
    • , MAXIMUM ENTROPY AND THE STATE-VARIABLE APPROACH TO MACROECOLOGY, Ecology, 89, 10, (2700), (2008).
    • , A general framework for the statistical exploration of the ecological niche, Journal of Theoretical Biology, 252, 4, (674), (2008).
    • , Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis, Ecological Modelling, 211, 1-2, (233), (2008).
    • , Ecological Niche Modeling and Distribution of Wild Sunflower (Helianthus annuusL.) in Mexico, International Journal of Plant Sciences, 169, 4, (541), (2008).
    • , Potential impact of climate change and reindeer density on tundra indicator species in the Barents Sea region, Climatic Change, 10.1007/s10584-007-9344-2, 87, 1-2, (119-130), (2007).
    • , Effects of sample size on the accuracy of geomorphological models, Geomorphology, 102, 3-4, (341), (2008).
    • , Phylogeography and predicted distribution of African-Arabian and Malagasy populations of giant mastiff bats, Otomops spp. (Chiroptera: Molossidae), Acta Chiropterologica, 10, 1, (21), (2008).
    • , An Integrative Method for Delimiting Cohesion Species: Finding the Population-Species Interface in a Group of Californian Trapdoor Spiders with Extreme Genetic Divergence and Geographic Structuring, Systematic Biology, 57, 4, (628), (2008).
    • , Predicting the potential distribution of the alien invasive American bullfrog (Lithobates catesbeianus) in Brazil, Biological Invasions, 10.1007/s10530-007-9154-5, 10, 5, (585-590), (2007).
    • , Spatial predictions of Baltic phytobenthic communities: Measuring robustness of generalized additive models based on transect data, Journal of Marine Systems, 74, (S86), (2008).
    • , Development of habitat models for Nephtys species (Polychaeta: Nephtyidae) in the German Bight (North Sea), Journal of Sea Research, 60, 4, (276), (2008).
    • , Modelling the presence of anchovy Engraulis encrasicolus in the Aegean Sea during early summer, based on satellite environmental data, Hydrobiologia, 10.1007/s10750-008-9498-6, 612, 1, (225-240), (2008).
    • , Incorporating uncertainty about species’ potential distributions under climate change into the selection of conservation areas with a case study from the Arctic Coastal Plain of Alaska, Biological Conservation, 141, 6, (1547), (2008).
    • , Applying Niche-Based Models to Predict Endangered-Hylid Potential Distributions: Are Neotropical Protected Areas Effective Enough?, Tropical Conservation Science, 1, 4, (417), (2008).
    • , Modelling the partially unknown distribution of wall lizards (Podarcis) in North Africa: ecological affinities, potential areas of occurrence, and methodological constraints, Canadian Journal of Zoology, 86, 9, (992), (2008).
    • , Applying species distribution modelling for the conservation of the threatened saproxylic Stag Beetle (Lucanus cervus), Biological Conservation, 141, 5, (1400), (2008).
    • , Climate Change and the Future of California's Endemic Flora, PLoS ONE, 3, 6, (e2502), (2008).
    • , Habitat discrimination of juvenile sardines in the Aegean Sea using remotely sensed environmental data, Hydrobiologia, 10.1007/s10750-008-9500-3, 612, 1, (215-223), (2008).
    • , Opening the climate envelope reveals no macroscale associations with climate in European birds, Proceedings of the National Academy of Sciences, 105, 39, (14908), (2008).
    • , Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS, Hydrobiologia, 10.1007/s10750-008-9493-y, 612, 1, (5-20), (2008).
    • , Risk Assessment of Potential Biofuel Species: An Application for Trait-Based Models for Predicting Weediness, Weed Science, 56, 6, (873), (2008).
    • , Preliminary analysis of the ecology and geography of the Asian nuthatches (Aves: Sittidae), The Wilson Journal of Ornithology, 120, 4, (692), (2008).
    • , Modeling distribution of Amazonian tree species and diversity using remote sensing measurements, Remote Sensing of Environment, 112, 5, (2000), (2008).
    • , Identifying soft sediments at sea using GIS-modelled predictor variables and Sediment Profile Image (SPI) measured response variables, Estuarine, Coastal and Shelf Science, 79, 4, (631), (2008).
    • , Predicting species distributions in poorly-studied landscapes, Biodiversity and Conservation, 10.1007/s10531-007-9314-z, 17, 6, (1353-1366), (2008).
    • , Measuring and modelling biodiversity from space, Progress in Physical Geography: Earth and Environment, 10.1177/0309133308093606, 32, 2, (203-221), (2008).
    • , COMPONENTS OF UNCERTAINTY IN SPECIES DISTRIBUTION ANALYSIS: A CASE STUDY OF THE GREAT GREY SHRIKE, Ecology, 89, 12, (3371-3386), (2008).
    • , Modeling and predicting potential spawning habitat of anchovy (Engraulis encrasicolus) and round sardinella (Sardinella aurita) based on satellite environmental information, Hydrobiologia, 10.1007/s10750-008-9502-1, 612, 1, (201-214), (2008).
    • , Australia’s Savanna Herbivores: Bioclimatic Distributions and an Assessment of the Potential Impact of Regional Climate Change, Physiological and Biochemical Zoology, 81, 6, (880), (2008).
    • , Predictable ecology and geography of avian influenza (H5N1) transmission in Nigeria and West Africa, Transactions of the Royal Society of Tropical Medicine and Hygiene, 102, 5, (471), (2008).
    • , LIVES: a new habitat modelling technique for predicting the distribution of species’ occurrences using presence-only data based on limiting factor theory, Biodiversity and Conservation, 10.1007/s10531-007-9270-7, 17, 13, (3079-3095), (2008).
    • , Ice-age survival of Atlantic cod: agreement between palaeoecology models and genetics, Proceedings of the Royal Society B: Biological Sciences, 10.1098/rspb.2007.1153, 275, 1631, (163-173), (2008).
    • , Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution, Ecological Modelling, 219, 1-2, (17), (2008).
    • , Efficient assessment of topographic solar radiation to improve plant distribution models, Agricultural and Forest Meteorology, 148, 11, (1696), (2008).
    • , Potential Distribution of Two Species in the Medically Important Anopheles minimus Complex (Diptera: Culicidae), Journal of Medical Entomology, 45, 5, (852), (2008).
    • , Claims of Potential Expansion throughout the U.S. by Invasive Python Species Are Contradicted by Ecological Niche Models, PLoS ONE, 3, 8, (e2931), (2008).
    • , Influences of environmental variability on the population structure and distribution patterns of the short-fin squid Illex coindetii (Cephalopoda: Ommastrephidae) in the Eastern Ionian Sea, Hydrobiologia, 10.1007/s10750-008-9490-1, 612, 1, (71-90), (2008).
    • , Hung Out to Dry: Choice of Priority Ecoregions for Conserving Threatened Neotropical Anurans Depends on Life-History Traits, PLoS ONE, 3, 5, (e2120), (2008).
    • , New data on the status and distribution of the bush dog (Speothos venaticus): Evaluating its quality of protection and directing research efforts, Biological Conservation, 141, 10, (2494), (2008).
    • , Looking forward: Applying an ecological model web to assess impacts of climate change, Biodiversity, 9, 3-4, (79), (2008).
    • , Vision of a Cyberinfrastructure for Nonnative, Invasive Species Management, BioScience, 58, 3, (263), (2008).
    • , Tools for Conserving Managing Individual Plant Species in Dynamic Landscapes, Managing and Designing Landscapes for Conservation, (330-342), (2008).
    • , Conservation planning: a macroecological approach using the endemic terrestrial vertebrates of the Brazilian Cerrado, Oryx, 10.1017/S0030605308001129, 42, 04, (567), (2008).
    • , MODELING HABITAT SUITABILITY FOR GREATER RHEAS BASED ON SATELLITE IMAGE TEXTURE, Ecological Applications, 18, 8, (1956-1966), (2008).
    • , Integrating GIS-based environmental data into evolutionary biology, Trends in Ecology & Evolution, 23, 3, (141), (2008).
    • , Explaining the global pattern of protected area coverage: relative importance of vertebrate biodiversity, human activities and agricultural suitability, Journal of Biogeography, 35, 8, (1337-1348), (2008).
    • , Controls on sediment evacuation from glacially modified and unmodified catchments in the eastern Sierra Nevada, California, Earth Surface Processes and Landforms, 33, 10, (1602-1613), (2008).
    • , The origin and evolution of the neural crest, BioEssays, 30, 6, (530-541), (2008).
    • , A consideration on the autostabilization mechanisms operational on a sand dune at equilibrium, Earth Surface Processes and Landforms, 33, 14, (2297-2299), (2008).
    • , Using a meiosis detection toolkit to investigate ancient asexual “scandals” and the evolution of sex, BioEssays, 30, 6, (579-589), (2008).
    • , The range of the curl‐crested jay: lessons for evaluating bird endemism in the South American Cerrado, Diversity and Distributions, 14, 4, (561-568), (2007).
    • , Common species have lower taxonomic diversity Evidence from the urban floras of Brussels and Rome, Diversity and Distributions, 14, 3, (530-537), (2008).
    • , A latitudinal gradient of beta diversity for exotic vascular plant species in North America, Diversity and Distributions, 14, 3, (556-560), (2008).
    • , Marine biogeographical disjunction in temperate Australia: historical landbridge, contemporary currents, or both?, Diversity and Distributions, 14, 4, (692-700), (2008).
    • , Extinction patterns in the avifauna of the Hawaiian islands, Diversity and Distributions, 14, 3, (509-517), (2008).
    • , Linking political and scientifically derived targets for global biodiversity conservation: implications for the expansion of the global network of protected areas, Diversity and Distributions, 14, 4, (604-613), (2007).
    • , Persistence of pyrophilous insects in fire‐driven boreal forests: population dynamics in burned and unburned habitats, Diversity and Distributions, 14, 4, (713-720), (2007).
    • , Biological attributes affect the data of description of tiger moths (Arctiidae) in the Brazilian Cerrado, Diversity and Distributions, 14, 3, (472-482), (2008).
    • , How far and how fast do bryophytes travel at the landscape scale?, Diversity and Distributions, 14, 3, (483-492), (2008).
    • , Potential Distribution Modelling Using Machine Learning, New Frontiers in Applied Artificial Intelligence, 10.1007/978-3-540-69052-8_27, (255-264), (2008).
    • , Greenhouses, land use change, and predictive models: MaxEnt and Geomod working together, Modelling Environmental Dynamics, 10.1007/978-3-540-68498-5_11, (297-317), (2008).
    • , Modelling potential habitat of the invasive ctenophore Mnemiopsis leidyi in Aegean Sea, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_21, (281-295), (2008).
    • , Modeling and predicting potential spawning habitat of anchovy (Engraulis encrasicolus) and round sardinella (Sardinella aurita) based on satellite environmental information, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_15, (201-214), (2008).
    • , Habitat discrimination of juvenile sardines in the Aegean Sea using remotely sensed environmental data, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_16, (215-223), (2008).
    • , Influences of environmental variability on the population structure and distribution patterns of the short-fin squid Illex coindetii (Cephalopoda: Ommastrephidae) in the Eastern Ionian Sea, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_6, (71-90), (2008).
    • , Modelling the presence of anchovy Engraulis encrasicolus in the Aegean Sea during early summer, based on satellite environmental data, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_17, (225-240), (2008).
    • , Modelling of essential fish habitat based on remote sensing, spatial analysis and GIS, Essential Fish Habitat Mapping in the Mediterranean, 10.1007/978-1-4020-9141-4_2, (5-20), (2008).
    • , Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs, Applications of Computational Intelligence in Biology, 10.1007/978-3-540-78534-7_9, (209-229), (2008).
    • , Macroecology of Microbes – Biogeography of the Glomeromycota, Mycorrhiza, 10.1007/978-3-540-78826-3_26, (529-563), (2008).
    • , A comparative evaluation of presence‐only methods for modelling species distribution, Diversity and Distributions, 13, 4, (397-405), (2007).
    • , Prediction and validation of the potential global distribution of a problematic alien invasive species — the American bullfrog, Diversity and Distributions, 13, 4, (476-485), (2007).
    • , Molecular and quantitative trait variation across the native range of the invasive species Hypericum canariense: evidence for ancient patterns of colonization via pre‐adaptation?, Molecular Ecology, 16, 20, (4269-4283), (2007).
    • , Does a ruderal strategy dominate the endemic flora of the West African forests?, Journal of Biogeography, 34, 6, (1100-1111), (2007).
    • , Predicting species distributions: a critical comparison of the most common statistical models using artificial species, Journal of Biogeography, 34, 8, (1455-1469), (2007).
    • , Remote sensing‐based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah, Journal of Applied Ecology, 44, 5, (1057-1067), (2007).
    • , Modelling the effects of climate change on the potential feeding activity of Thaumetopoea pityocampa (Den. & Schiff.) (Lep., Notodontidae) in France, Global Ecology and Biogeography, 16, 4, (460-471), (2007).
    • , Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses, Journal of Biogeography, 34, 11, (1833-1845), (2007).
    • , Comparative phylogeography and speciation of dung beetles from the Australian Wet Tropics rainforest, Molecular Ecology, 16, 23, (4984-4998), (2007).
    • , Modelling ecological niches from low numbers of occurrences: assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents, Diversity and Distributions, 13, 6, (890-902), (2007).
    • , Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent, Ecography, 30, 4, (550-560), (2007).
    • , A null‐model for significance testing of presence‐only species distribution models, Ecography, 30, 5, (727-736), (2007).
    • , Methods to account for spatial autocorrelation in the analysis of species distributional data: a review, Ecography, 30, 5, (609-628), (2007).
    • , Squamate richness in the Brazilian Cerrado and its environmental–climatic associations, Diversity and Distributions, 13, 6, (714-724), (2007).
    • , How can you conserve species that haven't been found?, Journal of Biogeography, 34, 5, (758-759), (2007).
    • , Using potential distributions to explore determinants of Western Palaearctic migratory songbird species richness in sub‐Saharan Africa, Journal of Biogeography, 34, 5, (828-841), (2007).
    • , Network connectivity and dispersal barriers: using geographical information system (GIS) tools to predict landscape scale distribution of a key predator (Esox lucius) among lakes, Journal of Applied Ecology, 44, 6, (1127-1137), (2007).
    • , Effects of incorporating spatial autocorrelation into the analysis of species distribution data, Global Ecology and Biogeography, 16, 2, (129-138), (2006).
    • , Delimiting cohesion species: extreme population structuring and the role of ecological interchangeability, Molecular Ecology, 16, 16, (3374-3392), (2007).
    • , ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar, Journal of Biogeography, 34, 1, (102-117), (2006).
    • , Human impacts on environment–diversity relationships: evidence for biotic homogenization from butterfly species richness patterns, Global Ecology and Biogeography, 16, 3, (290-299), (2007).
    • , Can niche‐based distribution models outperform spatial interpolation?, Global Ecology and Biogeography, 16, 6, (733-742), (2007).
    • , Biotic interactions improve prediction of boreal bird distributions at macro‐scales, Global Ecology and Biogeography, 16, 6, (754-763), (2007).
    • , Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment, Diversity and Distributions, 13, 3, (252-264), (2007).
    • , Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines, Diversity and Distributions, 13, 3, (265-275), (2007).
    • , How does the knowledge about the spatial distribution of Iberian dung beetle species accumulate over time?, Diversity and Distributions, 13, 6, (772-780), (2007).
    • , Dealing with uncertain absences in habitat modelling: a case study of a rare ground‐dwelling parrot, Diversity and Distributions, 13, 6, (704-713), (2007).
    • , Modelling the winter distribution of a rare and endangered migrant, the Aquatic Warbler Acrocephalus paludicola, Ibis, 149, 4, (701-714), (2007).
    • , Sudden oak death: geographic risk estimates and predictions of origins, Plant Pathology, 56, 4, (580-587), (2007).
    • , Data‐Mining Discovery of Pattern and Process in Ecological Systems, The Journal of Wildlife Management, 71, 7, (2427-2437), (2010).
    • , Evidence of climatic niche shift during biological invasion, Ecology Letters, 10, 8, (701-709), (2007).
    • , Limits to elevational distributions in two species of emberizine finches: disentangling the role of interspecific competition, autoecology, and geographic variation in the environment, Ecography, 30, 4, (491-504), (2007).
    • , Effects of species’ ecology on the accuracy of distribution models, Ecography, 30, 1, (135-151), (2007).
    • , HIERARCHICAL SPATIAL MODELS OF ABUNDANCE AND OCCURRENCE FROM IMPERFECT SURVEY DATA, Ecological Monographs, 77, 3, (465-481), (2007).
    • , A Framework for Debate of Assisted Migration in an Era of Climate Change, Conservation Biology, 21, 2, (297-302), (2007).
    • , The Boundary‐Quality Penalty: a Quantitative Method for Approximating Species Responses to Fragmentation in Reserve Selection, Conservation Biology, 21, 2, (355-364), (2007).
    • , REGIONAL VARIATION IN HOME‐RANGE‐SCALE HABITAT MODELS FOR FISHER (MARTES PENNANTI) IN CALIFORNIA, Ecological Applications, 17, 8, (2195-2213), (2007).
    • , Land use changes affect distributional patterns of desert birds in the Baja California peninsula, Mexico, Diversity and Distributions, 13, 6, (877-889), (2007).
    • , Predicting the Range of Chinese Mitten Crabs in Europe, Conservation Biology, 21, 5, (1316-1323), (2007).
    • , Behavioural mechanisms that undermine species envelope models: the causes of patchiness in the distribution of great bustards Otis tarda in Spain, Ecography, 30, 6, (819-829), (2007).
    • , MITOCHONDRIAL INTROGRESSION AND INCOMPLETE LINEAGE SORTING THROUGH SPACE AND TIME: PHYLOGENETICS OF CROTAPHYTID LIZARDS, Evolution, 61, 12, (2879-2897), (2007).
    • , Where will species go? Incorporating new advances in climate modelling into projections of species distributions, Global Change Biology, 13, 7, (1368-1385), (2007).
    • , A niche for isotopic ecology, Frontiers in Ecology and the Environment, 5, 8, (429-436), (2007).
    • , WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS?, Ecological Monographs, 77, 4, (615-630), (2007).
    • , Modeling the Effect of Climate Change on the Distribution of Oak and Pine Species of Mexico, Conservation Biology, 21, 6, (1545-1555), (2007).
    • , Home away from home — objective mapping of high‐risk source areas for plant introductions, Diversity and Distributions, 13, 3, (299-312), (2007).
    • , Geographic range, population structure and conservation status of the green python (Morelia viridis), a popular snake in the captive pet trade, Australian Journal of Zoology, 10.1071/ZO06078, 55, 3, (147), (2007).
    • , Potential impacts of climate change on the distributions and diversity patterns of European mammals, Biodiversity and Conservation, 10.1007/s10531-007-9181-7, 16, 13, (3803-3816), (2007).
    • , Beyond Traditional Hardiness Zones: Using Climate Envelopes to Map Plant Range Limits, BioScience, 10.1641/B571105, 57, 11, (929-937), (2007).
    • , Habitat selection by the common wombat (Vombatus ursinus) in disturbed environments: Implications for the conservation of a ‘common’ species, Biological Conservation, 137, 3, (437), (2007).
    • , Threshold criteria for conversion of probability of species presence to either–or presence–absence, Acta Oecologica, 10.1016/j.actao.2007.02.001, 31, 3, (361-369), (2007).
    • , A quantitative method for evaluating the importance of marine areas for conservation of birds, Biological Conservation, 136, 3, (362), (2007).
    • , Potential Impacts of Climate Change on the Distribution of North American Trees, BioScience, 57, 11, (939), (2007).
    • , Mammal Taxa Constituting Potential Coevolved Reservoirs of Filoviruses, Journal of Mammalogy, 88, 6, (1544), (2007).
    • , NARROW CONTACT OF DESERT SAGE SPARROWS (AMPHISPIZA BELLI NEVADENSIS AND A. B. CANESCENS) IN OWENS VALLEY, EASTERN CALIFORNIA: EVIDENCE FROM MITOCHONDRIAL DNA, MORPHOLOGY, AND GIS-BASED NICHE MODELS, Ornithological Monographs, 10.1642/0078-6594(2007)63[78:NCODSS]2.0.CO;2, 63, 1, (78), (2007).
    • , Why not WhyWhere: The need for more complex models of simpler environmental spaces, Ecological Modelling, 203, 3-4, (527), (2007).
    • , Modelling the potential geographic distribution of invasive ant species in New Zealand, Biological Invasions, 10.1007/s10530-006-9072-y, 9, 6, (723-735), (2006).
    • , Multi-dimensional vegetation structure in modeling avian habitat, Ecological Informatics, 2, 1, (9), (2007).
    • , Promising the future? Global change projections of species distributions, Basic and Applied Ecology, 8, 5, (387), (2007).
    • , Multiscale computation of solar radiation for predictive vegetation modelling, Annals of Forest Science, 64, 8, (899), (2007).
    • , Fitness-related parameters improve presence-only distribution modelling for conservation practice: The case of the red-backed shrike, Biological Conservation, 10.1016/j.biocon.2007.04.019, 138, 1-2, (207-223), (2007).
    • , The Potential Geographic Distribution of Radopholus similis in China, Agricultural Sciences in China, 6, 12, (1444), (2007).
    • , The Macroecological Contribution to Global Change Solutions, Science, 10.1126/science.1133267, 316, 5831, (1581-1584), (2007).
    • , Geospatial web services within a scientific workflow: Predicting marine mammal habitats in a dynamic environment, Ecological Informatics, 2, 3, (210), (2007).
    • , Limits to elevational distributions in two species of emberizine finches: disentangling the role of interspecific competition, autoecology, and geographic variation in the environment, Ecography, 10.1111/j.2007.0906-7590.05045.x, 30, 4, (491-504), (2007).
    • , Ecological niche modeling and geographic distribution of the genus Polianthes L. (Agavaceae) in Mexico: using niche modeling to improve assessments of risk status, Biodiversity and Conservation, 10.1007/s10531-006-9091-0, 16, 6, (1885-1900), (2006).
    • , Seaweed invasions: conclusions and future directions, Botanica Marina, 50, 5/6, (2007).
    • , GEOGRAPHICAL DISTRIBUTION OF TWO SPECIES OF MESOBUTHUS (SCORPIONES, BUTHIDAE) IN CHINA: INSIGHTS FROM SYSTEMATIC FIELD SURVEYS AND PREDICTIVE MODELS, Journal of Arachnology, 10.1636/T06-20.1, 35, 2, (215-226), (2007).
    • , Species distribution models and ecological theory: A critical assessment and some possible new approaches, Ecological Modelling, 200, 1-2, (1), (2007).
    • , Scale issues in the assessment of ecological impacts using a GIS-based habitat model — A case study for the Stockholm region, Environmental Impact Assessment Review, 27, 5, (440), (2007).
    • , Adaptive extent and seed yield predictions for Microula sikkimensis grown in the Qinghai-Tibet Plateau, China, Ecological Modelling, 201, 3-4, (507), (2007).
    • , Conservation assessment and prioritization of areas in Northeast India: Priorities for amphibians and reptiles, Biological Conservation, 136, 3, (346), (2007).
    • , NAPPFAST: An Internet System for the Weather-Based Mapping of Plant Pathogens, Plant Disease, 91, 4, (336), (2007).
    • , Effects of species? ecology on the accuracy of distribution models, Ecography, 10.1111/j.2006.0906-7590.04823.x, 30, 1, (135-151), (2007).
    • , Adding More Ecology into Species Delimitation: Ecological Niche Models and Phylogeography Help Define Cryptic Species in the Black Salamander (Aneides flavipunctatus), Systematic Biology, 56, 6, (924), (2007).
    • , Applications of Ecological Niche Modeling for Species Delimitation: A Review and Empirical Evaluation Using Day Geckos (Phelsuma) from Madagascar, Systematic Biology, 10.1080/10635150701775111, 56, 6, (907-923), (2007).
    • , Sensitivity of predictive species distribution models to change in grain size, Diversity and Distributions, 13, 3, (332), (2007).
    • , Malaria in Africa: Vector Species' Niche Models and Relative Risk Maps, PLoS ONE, 2, 9, (e824), (2007).
    • , Comparative distribution and invasion risk of snakehead (Channidae) and Asian carp (Cyprinidae) species in North America, Canadian Journal of Fisheries and Aquatic Sciences, 64, 12, (1723), (2007).
    • , Using landscape analysis to assess and model tsunami damage in Aceh province, Sumatra, Landscape Ecology, 10.1007/s10980-006-9062-6, 22, 3, (323-331), (2006).
    • , Endemic freshwater finfish of Asia: distribution and conservation status, Diversity and Distributions, 13, 2, (172-184), (2007).
    • , Ecological niche modeling and geographic distribution of the genus Polianthes L. (Agavaceae) in Mexico: using niche modeling to improve assessments of risk status, Plant Conservation and Biodiversity, 10.1007/978-1-4020-6444-9_20, (311-326), (2007).
    • , Broad‐scale geographic patterns in the distribution of vertically‐transmitted, asexual endophytes in four naturally‐occurring grasses in Sweden, Ecography, 30, 3, (367-374), (2007).
    • , Estimating the growth of a newly established moose population using reproductive value, Ecography, 30, 3, (417-421), (2007).
    • , An indirect area effect on elevational species richness patterns, Ecography, 30, 3, (440-448), (2007).
    • , Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology, Ecography, 30, 3, (375-384), (2007).
    • , Machine Learning, Encyclopedia of Environmetrics, (2013).
    • , The effect of sample size and species characteristics on performance of different species distribution modeling methods, Ecography, 29, 5, (773-785), (2006).
    • , Predicting the distribution of non‐vagile taxa: a response to McNyset and Blackburn (2006) and re‐evaluation of Stockman . (2006), Diversity and Distributions, 12, 6, (787-792), (2006).
    • , Does GARP really fail miserably? A response to Stockman . (2006), Diversity and Distributions, 12, 6, (782-786), (2006).
    • , Prospects for population expansion of the exotic aoudad (Ammotragus lervia; Bovidae) in the Iberian Peninsula: clues from habitat suitability modelling, Diversity and Distributions, 12, 6, (666-678), (2006).
    • , Contrasting spatial and temporal global change impacts on butterfly species richness during the 20th century, Ecography, 29, 6, (908-918), (2006).
    • , DOES NICHE CONSERVATISM PROMOTE SPECIATION? A CASE STUDY IN NORTH AMERICAN SALAMANDERS, Evolution, 60, 12, (2604-2621), (2007).
    • , Using Ecological‐Niche Modeling as a Conservation Tool for Freshwater Species: Live‐Bearing Fishes in Central Mexico, Conservation Biology, 20, 6, (1730-1739), (2006).
    • , The ability of climate envelope models to predict the effect of climate change on species distributions, Global Change Biology, 12, 12, (2272-2281), (2006).
    • , Predicting patterns of plant species richness in megadiverse South Africa, Ecography, 29, 5, (733-744), (2006).
    • , Five (or so) challenges for species distribution modelling, Journal of Biogeography, 33, 10, (1677-1688), (2006).
    • , Tradeoffs of different types of species occurrence data for use in systematic conservation planning, Ecology Letters, 9, 10, (1136), (2006).
    • , DOES NICHE CONSERVATISM PROMOTE SPECIATION? A CASE STUDY IN NORTH AMERICAN SALAMANDERS, Evolution, 10.1554/06-334.1, 60, 12, (2604), (2006).
    • , How Does Climate Change Affect Biodiversity?, Science, 313, 5792, (1396), (2006).
    • , Phyloclimatic Modeling: Combining Phylogenetics and Bioclimatic Modeling, Systematic Biology, 55, 5, (785), (2006).
    • , VEGETATION-INDEX MODELS PREDICT AREAS VULNERABLE TO PURPLE LOOSESTRIFE (LYTHRUM SALICARIA) INVASION IN KANSAS, The Southwestern Naturalist, 51, 4, (471), (2006).
    • , Methods and uncertainties in bioclimatic envelope modelling under climate change, Progress in Physical Geography: Earth and Environment, 10.1177/0309133306071957, 30, 6, (751-777), (2016).
    • , GIS‐based characterization of the geographic distributions of wild and cultivated populations of the Mesoamerican fruit tree Spondias purpurea (Anacardiaceae), American Journal of Botany, 93, 12, (1757-1767), (2006).
    • , CEO Experiences: Effects on the Choice of FDI Entry Mode*, Journal of Management Studies, 43, 4, (755-778), (2006).
    • , A comparison of methods for mapping species ranges and species richness, Global Ecology and Biogeography, 15, 6, (578-587), (2006).
    • , Control Premiums and the Effectiveness of Corporate Governance Systems, Journal of Applied Corporate Finance, 16, 2‐3, (51-72), (2005).
    • , Macroecology, eLS, (2008).
    • , Aufnahme von organischen Säuren durch Acinetobacter calcoaceticus, Zeitschrift für allgemeine Mikrobiologie, 19, 5, (319-324), (2007).
    • , , Zeitschrift für anorganische und allgemeine Chemie, 137, 1, (349-364), (2004).
    • , Predicting the Impacts of Climate Change on the Potential Distribution of Major Native Non-Food Bioenergy Plants in China, PLoS ONE, 10.1371/journal.pone.0111587, 9, 11, (e111587), (2014).
    • , Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays, Fishes, 10.3390/fishes2030012, 2, 3, (12), (2017).
    • , Snakes on the Balearic Islands: An Invasion Tale with Implications for Native Biodiversity Conservation, PLOS ONE, 10.1371/journal.pone.0121026, 10, 4, (e0121026), (2015).
    • , Accommodating Species Climate-Forced Dispersal and Uncertainties in Spatial Conservation Planning, PLoS ONE, 10.1371/journal.pone.0054323, 8, 1, (e54323), (2013).
    • , Patterns and Predictors of Recent Forest Conversion in New England, Land, 10.3390/land5030030, 5, 3, (30), (2016).
    • , Scientific Foundations for an IUCN Red List of Ecosystems, PLoS ONE, 10.1371/journal.pone.0062111, 8, 5, (e62111), (2013).
    • , Modelling the Meteorological Forest Fire Niche in Heterogeneous Pyrologic Conditions, PLOS ONE, 10.1371/journal.pone.0116875, 10, 2, (e0116875), (2015).
    • , Identifying the Threshold of Dominant Controls on Fire Spread in a Boreal Forest Landscape of Northeast China, PLoS ONE, 10.1371/journal.pone.0055618, 8, 1, (e55618), (2013).
    • , Next-Generation Invaders? Hotspots for Naturalised Sleeper Weeds in Australia under Future Climates, PLoS ONE, 10.1371/journal.pone.0084222, 8, 12, (e84222), (2013).
    • , Identifying Reliable Opportunistic Data for Species Distribution Modeling: A Benchmark Data Optimization Approach, Environments, 10.3390/environments4040081, 4, 4, (81), (2017).
    • , The Use of Climatic Niches in Screening Procedures for Introduced Species to Evaluate Risk of Spread: A Case with the American Eastern Grey Squirrel, PLoS ONE, 10.1371/journal.pone.0066559, 8, 7, (e66559), (2013).
    • , Uncertainties in Predicting Species Distributions under Climate Change: A Case Study Using Tetranychus evansi (Acari: Tetranychidae), a Widespread Agricultural Pest, PLoS ONE, 10.1371/journal.pone.0066445, 8, 6, (e66445), (2013).
    • , Habitat suitability and movement corridors of grey wolf (Canis lupus) in Northern Pakistan, PLOS ONE, 10.1371/journal.pone.0187027, 12, 11, (e0187027), (2017).
    • , Continental-Scale Assessment of Risk to the Australian Odonata from Climate Change, PLoS ONE, 10.1371/journal.pone.0088958, 9, 2, (e88958), (2014).
    • , Pet snakes illegally marketed in Brazil: Climatic viability and establishment risk, PLOS ONE, 10.1371/journal.pone.0183143, 12, 8, (e0183143), (2017).
    • , Creating Larger and Better Connected Protected Areas Enhances the Persistence of Big Game Species in the Maputaland-Pondoland-Albany Biodiversity Hotspot, PLoS ONE, 10.1371/journal.pone.0071788, 8, 8, (e71788), (2013).
    • , Potential Stream Density in Mid-Atlantic U.S. Watersheds, PLoS ONE, 10.1371/journal.pone.0074819, 8, 8, (e74819), (2013).
    • , Multitemporal Modelling of Socio-Economic Wildfire Drivers in Central Spain between the 1980s and the 2000s: Comparing Generalized Linear Models to Machine Learning Algorithms, PLOS ONE, 10.1371/journal.pone.0161344, 11, 8, (e0161344), (2016).
    • , Predicting the Potential Distribution of Polygala tenuifolia Willd. under Climate Change in China, PLOS ONE, 10.1371/journal.pone.0163718, 11, 9, (e0163718), (2016).
    • , The great capricorn beetle Cerambyx cerdo L. in south-western Poland – the current state and perspectives of conservation in one of the recent distribution centres in Central Europe, Nature Conservation, 10.3897/natureconservation.19.11838, 19, (111-134), (2017).
    • , Incorporating Climate Change and Exotic Species into Forecasts of Riparian Forest Distribution, PLoS ONE, 10.1371/journal.pone.0107037, 9, 9, (e107037), (2014).
    • , Using High-Resolution Future Climate Scenarios to Forecast Bromus tectorum Invasion in Rocky Mountain National Park, PLOS ONE, 10.1371/journal.pone.0117893, 10, 2, (e0117893), (2015).
    • , Different roads lead to Rome: Integrative taxonomic approaches lead to the discovery of two new lizard lineages in the Liolaemus montanus group (Squamata: Liolaemidae), Biological Journal of the Linnean Society, , (2016).
    • , Modeling Forest Lightning Fire Occurrence in the Daxinganling Mountains of Northeastern China with MAXENT, Forests, 10.3390/f6051422, 6, 12, (1422-1438), (2015).
    • , Pleistocene climatic oscillations in Neotropical open areas: Refuge isolation in the rodent Oxymycterus nasutus endemic to grasslands, PLOS ONE, 10.1371/journal.pone.0187329, 12, 11, (e0187329), (2017).
    • , Mapping and Modelling the Geographical Distribution and Environmental Limits of Podoconiosis in Ethiopia, PLOS Neglected Tropical Diseases, 10.1371/journal.pntd.0003946, 9, 7, (e0003946), (2015).
    • , Using Landscape and Bioclimatic Features to Predict the Distribution of Lions, Leopards and Spotted Hyaenas in Tanzania's Ruaha Landscape, PLoS ONE, 10.1371/journal.pone.0096261, 9, 5, (e96261), (2014).
    • , Effect of Climate Change on Invasion Risk of Giant African Snail (Achatina fulica Férussac, 1821: Achatinidae) in India, PLOS ONE, 10.1371/journal.pone.0143724, 10, 11, (e0143724), (2015).
    • , Climate Change May Alter Breeding Ground Distributions of Eastern Migratory Monarchs (Danaus plexippus) via Range Expansion of Asclepias Host Plants, PLOS ONE, 10.1371/journal.pone.0118614, 10, 2, (e0118614), (2015).
    • , Spatial Scaling of Environmental Variables Improves Species-Habitat Models of Fishes in a Small, Sand-Bed Lowland River, PLOS ONE, 10.1371/journal.pone.0142813, 10, 11, (e0142813), (2015).
    • , Monitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogates, PLOS ONE, 10.1371/journal.pone.0181769, 12, 7, (e0181769), (2017).
    • , Assessing the Risk of Invasion by Tephritid Fruit Flies: Intraspecific Divergence Matters, PLOS ONE, 10.1371/journal.pone.0135209, 10, 8, (e0135209), (2015).
    • , Ecological Niche Modelling Predicts Southward Expansion of Lutzomyia (Nyssomyia) flaviscutellata (Diptera: Psychodidae: Phlebotominae), Vector of Leishmania (Leishmania) amazonensis in South America, under Climate Change, PLOS ONE, 10.1371/journal.pone.0143282, 10, 11, (e0143282), (2015).
    • , Lowland tapir distribution and habitat loss in South America, PeerJ, 10.7717/peerj.2456, 4, (e2456), (2016).
    • , Reconstructing the Mexican Tropical Dry Forests via an Autoecological Niche Approach: Reconsidering the Ecosystem Boundaries, PLOS ONE, 10.1371/journal.pone.0150932, 11, 3, (e0150932), (2016).
    • , An early suitability assessment of two exotic Ophraella species (Coleoptera: Chrysomelidae) for biological control of invasive ragweed in Europe, European Journal of Entomology, 10.14411/eje.2017.021, 114, (160-169), (2017).
    • , Conservation Priorities for Prunus africana Defined with the Aid of Spatial Analysis of Genetic Data and Climatic Variables, PLoS ONE, 10.1371/journal.pone.0059987, 8, 3, (e59987), (2013).
    • , Deep-sea nematode biodiversity in the Mediterranean basin: testing for longitudinal, bathymetric and energetic gradients, Ecography, 10.1111/j.2007.0906-7590.05484.x, 0, 0, (080304020349105-0), (2008).
    • , Modeling Species Distributions from Heterogeneous Data for the Biogeographic Regionalization of the European Bryophyte Flora, PLoS ONE, 10.1371/journal.pone.0055648, 8, 2, (e55648), (2013).
    • , Incorporating abundance information and guiding variable selection for climate-based ensemble forecasting of species' distributional shifts, PLOS ONE, 10.1371/journal.pone.0184316, 12, 9, (e0184316), (2017).
    • , Impacts of Environmental Heterogeneity on Moss Diversity and Distribution of Didymodon (Pottiaceae) in Tibet, China, PLOS ONE, 10.1371/journal.pone.0132346, 10, 7, (e0132346), (2015).
    • , Mountaintops phylogeography: A case study using small mammals from the Andes and the coast of central Chile, PLOS ONE, 10.1371/journal.pone.0180231, 12, 7, (e0180231), (2017).
    • , On the Use of Maps and Models in Conservation and Resource Management (Warning: Results May Vary), Frontiers in Marine Science, 10.3389/fmars.2017.00288, 4, (2017).
    • , Predicting the effect of climate change on a range-restricted lizard in southeastern Australia, Current Zoology, 10.1093/cz/zox021, (2017).
    • , Potential Distribution of Podocnemis lewyana (Reptilia:Podocnemididae) and Its Possible Fluctuation Under Different Global Climate Change Scenarios, Acta Biológica Colombiana, 10.15446/abc.v19n3.40909, 19, 3, (471), (2014).
    • , Spatial probability modelling of eelgrass (Zostera marina) distribution on the west coast of Norway, ICES Journal of Marine Science, 10.1093/icesjms/fsn095, 65, 7, (1093-1101), (2008).
    • , Changes in the geographical distribution of plant species and climatic variables on the West Cornwall peninsula (South West UK), PLOS ONE, 10.1371/journal.pone.0191021, 13, 2, (e0191021), (2018).
    • , Trust as a proxy indicator for intrinsic quality of Volunteered Geographic Information in biodiversity monitoring programs, GIScience & Remote Sensing, 10.1080/15481603.2017.1413794, (1-37), (2017).
    • , Relative Effects of Road Risk, Habitat Suitability, and Connectivity on Wildlife Roadkills: The Case of Tawny Owls (Strix aluco), PLoS ONE, 10.1371/journal.pone.0079967, 8, 11, (e79967), (2013).
    • , Modelling Terrestrial and Marine Foraging Habitats in Breeding Audouin's Gulls Larus audouinii: Timing Matters, PLOS ONE, 10.1371/journal.pone.0120799, 10, 4, (e0120799), (2015).
    • , Genetic Pool Information Reflects Highly Suitable Areas: The Case of Two Parapatric Endangered Species of Tuco-tucos (Rodentia: Ctenomiydae), PLoS ONE, 10.1371/journal.pone.0097301, 9, 5, (e97301), (2014).
    • , Assessing Historical Fish Community Composition Using Surveys, Historical Collection Data, and Species Distribution Models, PLoS ONE, 10.1371/journal.pone.0025145, 6, 9, (e25145), (2011).
    • , Habitat Heterogeneity Variably Influences Habitat Selection by Wild Herbivores in a Semi-Arid Tropical Savanna Ecosystem, PLOS ONE, 10.1371/journal.pone.0163084, 11, 9, (e0163084), (2016).
    • , West Africa - A Safe Haven for Frogs? A Sub-Continental Assessment of the Chytrid Fungus (Batrachochytrium dendrobatidis), PLoS ONE, 10.1371/journal.pone.0056236, 8, 2, (e56236), (2013).
    • , Designing Optimized Multi-Species Monitoring Networks to Detect Range Shifts Driven by Climate Change: A Case Study with Bats in the North of Portugal, PLoS ONE, 10.1371/journal.pone.0087291, 9, 1, (e87291), (2014).
    • , Improving the Use of Species Distribution Models in Conservation Planning and Management under Climate Change, PLoS ONE, 10.1371/journal.pone.0113749, 9, 11, (e113749), (2014).
    • , On the absence of the Green-tailed Trainbearer Lesbia nuna (Trochilidae) from Venezuela: an analysis based on environmental niche modelling, Biodiversity Data Journal, 10.3897/BDJ.5.e22092, 5, (e22092), (2017).
    • , Some Like It Hot: The Influence and Implications of Climate Change on Coffee Berry Borer (Hypothenemus hampei) and Coffee Production in East Africa, PLoS ONE, 10.1371/journal.pone.0024528, 6, 9, (e24528), (2011).
    • , Testing the applicability of a benthic foraminiferal-based transfer function for the reconstruction of paleowater depth changes in Rhodes (Greece) during the early Pleistocene, PLOS ONE, 10.1371/journal.pone.0188447, 12, 11, (e0188447), (2017).
    • , Microclimate Data Improve Predictions of Insect Abundance Models Based on Calibrated Spatiotemporal Temperatures, Frontiers in Physiology, 10.3389/fphys.2016.00139, 7, (2016).
    • , Predicting Future Seed Sourcing of Platycladus orientalis (L.) for Future Climates Using Climate Niche Models, Forests, 10.3390/f8120471, 8, 12, (471), (2017).
    • , A New Tool for Exploring Climate Change Induced Range Shifts of Conifer Species in China, PLoS ONE, 10.1371/journal.pone.0098643, 9, 9, (e98643), (2014).
    • , Land Use Compounds Habitat Losses under Projected Climate Change in a Threatened California Ecosystem, PLoS ONE, 10.1371/journal.pone.0086487, 9, 1, (e86487), (2014).
    • , A globally calibrated scheme for generating daily meteorology from monthly statistics: Global-WGEN (GWGEN) v1.0, Geoscientific Model Development, 10.5194/gmd-10-3771-2017, 10, 10, (3771-3791), (2017).
    • , Continental divide: Predicting climate-mediated fragmentation and biodiversity loss in the boreal forest, PLOS ONE, 10.1371/journal.pone.0176706, 12, 5, (e0176706), (2017).
    • , Using Species Distribution Models to Predict Potential Landscape Restoration Effects on Puma Conservation, PLOS ONE, 10.1371/journal.pone.0145232, 11, 1, (e0145232), (2016).
    • , Potential Effects of Climate Change on the Distribution of Cold-Tolerant Evergreen Broadleaved Woody Plants in the Korean Peninsula, PLOS ONE, 10.1371/journal.pone.0134043, 10, 8, (e0134043), (2015).
    • , Distributional dynamics of a vulnerable species in response to past and future climate change: a window for conservation prospects, PeerJ, 10.7717/peerj.4287, 6, (e4287), (2018).
    • , Predicting Plant Diversity Patterns in Madagascar: Understanding the Effects of Climate and Land Cover Change in a Biodiversity Hotspot, PLOS ONE, 10.1371/journal.pone.0122721, 10, 4, (e0122721), (2015).
    • , Climate Change, Northern Birds of Conservation Concern and Matching the Hotspots of Habitat Suitability with the Reserve Network, PLoS ONE, 10.1371/journal.pone.0063376, 8, 5, (e63376), (2013).
    • , Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change, PLOS ONE, 10.1371/journal.pone.0180913, 12, 7, (e0180913), (2017).
    • , Predicting suitable habitat of the Chinese monal ( Lophophorus lhuysii ) using ecological niche modeling in the Qionglai Mountains, China , PeerJ, 10.7717/peerj.3477, 5, (e3477), (2017).
    • , Phylogeography of Quercus variabilis Based on Chloroplast DNA Sequence in East Asia: Multiple Glacial Refugia and Mainland-Migrated Island Populations, PLoS ONE, 10.1371/journal.pone.0047268, 7, 10, (e47268), (2012).
    • , Using Regional Climate Projections to Guide Grassland Community Restoration in the Face of Climate Change, Frontiers in Plant Science, 10.3389/fpls.2017.00730, 8, (2017).
    • , Nowhere to Invade: Rumex crispus and Typha latifolia Projected to Disappear under Future Climate Scenarios, PLoS ONE, 10.1371/journal.pone.0070728, 8, 7, (e70728), (2013).
    • , Climate Change May Boost the Invasion of the Asian Needle Ant, PLoS ONE, 10.1371/journal.pone.0075438, 8, 10, (e75438), (2013).
    • , Assessing environmental attributes and effects of climate change on Sphagnum peatland distributions in North America using single- and multi-species models, PLOS ONE, 10.1371/journal.pone.0175978, 12, 4, (e0175978), (2017).
    • , Using niche-modelling and species-specific cost analyses to determine a multispecies corridor in a fragmented landscape, PLOS ONE, 10.1371/journal.pone.0183648, 12, 8, (e0183648), (2017).
    • , A Multiscale Approach Indicates a Severe Reduction in Atlantic Forest Wetlands and Highlights that São Paulo Marsh Antwren Is on the Brink of Extinction, PLOS ONE, 10.1371/journal.pone.0121315, 10, 3, (e0121315), (2015).
    • , Plant species dispersed by Galapagos tortoises surf the wave of habitat suitability under anthropogenic climate change, PLOS ONE, 10.1371/journal.pone.0181333, 12, 7, (e0181333), (2017).
    • , Evolution of the climatic tolerance and postglacial range changes of the most primitive orchids (Apostasioideae) within Sundaland, Wallacea and Sahul, PeerJ, 10.7717/peerj.2384, 4, (e2384), (2016).
    • , Using worldwide edaphic data to model plant species niches: An assessment at a continental extent, PLOS ONE, 10.1371/journal.pone.0186025, 12, 10, (e0186025), (2017).
    • , Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data, PLOS ONE, 10.1371/journal.pone.0187602, 12, 11, (e0187602), (2017).
    • , Impacts of onshore wind energy production on birds and bats: recommendations for future life cycle impact assessment developments, The International Journal of Life Cycle Assessment, 10.1007/s11367-017-1434-4, (2018).
    • , Modelling Hotspots for Invasive Alien Plants in India, PLOS ONE, 10.1371/journal.pone.0134665, 10, 7, (e0134665), (2015).
    • , Pathogen-Host Associations and Predicted Range Shifts of Human Monkeypox in Response to Climate Change in Central Africa, PLoS ONE, 10.1371/journal.pone.0066071, 8, 7, (e66071), (2013).
    • , Habitat-Forming Bryozoans in New Zealand: Their Known and Predicted Distribution in Relation to Broad-Scale Environmental Variables and Fishing Effort, PLoS ONE, 10.1371/journal.pone.0075160, 8, 9, (e75160), (2013).
    • , Climate, soil or both? Which variables are better predictors of the distributions of Australian shrub species?, PeerJ, 10.7717/peerj.3446, 5, (e3446), (2017).
    • , Increasing Potential Risk of a Global Aquatic Invader in Europe in Contrast to Other Continents under Future Climate Change, PLoS ONE, 10.1371/journal.pone.0018429, 6, 3, (e18429), (2011).
    • , Why Are Nigeria-Cameroon Chimpanzees (Pan troglodytes ellioti) Free of SIVcpz Infection?, PLOS ONE, 10.1371/journal.pone.0160788, 11, 8, (e0160788), (2016).
    • , Are We Predicting the Actual or Apparent Distribution of Temperate Marine Fishes?, PLoS ONE, 10.1371/journal.pone.0034558, 7, 4, (e34558), (2012).
    • , Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 10.1111/j.0906-7590.2007.5203.x, 0, 0, (080328142746259-???), (2008).
    • , Combining occurrence and abundance distribution models for the conservation of the Great Bustard, PeerJ, 10.7717/peerj.4160, 5, (e4160), (2017).
    • , A Geographic Assessment of the Global Scope for Rewilding with Wild-Living Horses (Equus ferus), PLOS ONE, 10.1371/journal.pone.0132359, 10, 7, (e0132359), (2015).
    • , Combining dispersal, landscape connectivity and habitat suitability to assess climate-induced changes in the distribution of Cunningham’s skink, Egernia cunninghami, PLOS ONE, 10.1371/journal.pone.0184193, 12, 9, (e0184193), (2017).
    • , Global potential distribution of Drosophila suzukii (Diptera, Drosophilidae), PLOS ONE, 10.1371/journal.pone.0174318, 12, 3, (e0174318), (2017).
    • , Undiagnosed Cryptic Diversity in Small, Microendemic Frogs (Leptolalax) from the Central Highlands of Vietnam, PLOS ONE, 10.1371/journal.pone.0128382, 10, 5, (e0128382), (2015).
    • , Conservation Priorities in a Biodiversity Hotspot: Analysis of Narrow Endemic Plant Species in New Caledonia, PLoS ONE, 10.1371/journal.pone.0073371, 8, 9, (e73371), (2013).
    • , Comparative Phylogeography of a Coevolved Community: Concerted Population Expansions in Joshua Trees and Four Yucca Moths, PLoS ONE, 10.1371/journal.pone.0025628, 6, 10, (e25628), (2011).
    • , Comparing pseudo-absences generation techniques in Boosted Regression Trees models for conservation purposes: A case study on amphibians in a protected area, PLOS ONE, 10.1371/journal.pone.0187589, 12, 11, (e0187589), (2017).
    • , Impact of climate change on the distribution range and niche dynamics of Himalayan birch, a typical treeline species in Himalayas, Biodiversity and Conservation, 10.1007/s10531-018-1641-8, (2018).
    • , Comparative Landscape Genetics of Three Closely Related Sympatric Hesperid Butterflies with Diverging Ecological Traits, PLoS ONE, 10.1371/journal.pone.0106526, 9, 9, (e106526), (2014).
    • , Mapping Monkeypox Transmission Risk through Time and Space in the Congo Basin, PLoS ONE, 10.1371/journal.pone.0074816, 8, 9, (e74816), (2013).
    • , Modelling habitat and spatial distribution of the edible insect Henicus whellani Chop (Orthoptera: Stenopelmatidae) in south-eastern districts of Zimbabwe , Journal of Insects as Food and Feed, 10.3920/JIFF2017.0074, (1-10), (2018).
    • , A revision of the distribution of sea kraits (Reptilia, Laticauda) with an updated occurrence dataset for ecological and conservation research, ZooKeys, 10.3897/zookeys.569.6975, 569, (135-148), (2016).
    • , Ensemble forecasting of the global potential distribution of the invasive Chinese mitten crab, Eriocheir sinensis, Hydrobiologia, 10.1007/s10750-018-3749-y, (2018).
    • , Research trends and geographical distribution of mammalian carnivores in Portugal (SW Europe), PLOS ONE, 10.1371/journal.pone.0207866, 13, 11, (e0207866), (2018).
    • , Potential distribution of riffle beetles (Coleoptera: Elmidae) in southern Brazil, Austral Entomology, , (2018).
    • , Environmental associations of Pacific bluefin tuna (Thunnus orientalis) catch in the California Current system, Fisheries Oceanography, , (2018).
    • , Climatic niche of the Saker Falcon Falco cherrug: predicted new areas to direct population surveys in Central Asia, Ibis, , (2018).
    • , Simulated Impacts of Soy and Infrastructure Expansion in the Brazilian Amazon: A Maximum Entropy Approach, Forests, 10.3390/f9100600, 9, 10, (600), (2018).
    • , Multi-scale habitat preference analyses for Azorean blue whales, PLOS ONE, 10.1371/journal.pone.0201786, 13, 9, (e0201786), (2018).
    • , Habitat quality modelling and effect of climate change on the distribution of Centaurea pabotii in Iran, Spanish Journal of Agricultural Research, 10.5424/sjar/2018163-13098, 16, 3, (e0304), (2018).
    • , Effects of different intertidal hard substrates on the recruitment of Crassostrea gigas, Hydrobiologia, 10.1007/s10750-018-3774-x, (2018).
    • , Predicting the impacts of climate change on the distribution of Juniperus excelsa M. Bieb. in the central and eastern Alborz Mountains, Iran, iForest - Biogeosciences and Forestry, 10.3832/ifor2559-011, 11, 5, (643-650), (2018).
    • , Range contraction to a higher elevation: the likely future of the montane vegetation in South Africa and Lesotho, Biodiversity and Conservation, 10.1007/s10531-018-1643-6, (2018).
    • , Mapping Fishing Activities and Suitable Fishing Grounds Using Nighttime Satellite Images and Maximum Entropy Modelling, Remote Sensing, 10.3390/rs10101604, 10, 10, (1604), (2018).
    • , Managers, modelers, and measuring the impact of species distribution model uncertainty on marine zoning decisions, PLOS ONE, 10.1371/journal.pone.0204569, 13, 10, (e0204569), (2018).
    • , Phylogeography of African Locust Bean (Parkia biglobosa) Reveals Genetic Divergence and Spatially Structured Populations in West and Central Africa, Journal of Heredity, 10.1093/jhered/esy047, (2018).
    • , The Potential Distribution of Tree Species in Three Periods of Time under a Climate Change Scenario, Forests, 10.3390/f9100628, 9, 10, (628), (2018).
    • , Impacts of climate change on Capparis spinosa L. based on ecological niche modeling , PeerJ, 10.7717/peerj.5792, 6, (e5792), (2018).
    • , Assessing the potential distribution of invasive alien species Amorpha fruticosa (Mill.) in the Mureş Floodplain Natural Park (Romania) using GIS and logistic regression, Nature Conservation, 10.3897/natureconservation.30.27627, 30, (41-67), (2018).
    • , A multidisciplinary approach to inform assisted migration of the restricted rainforest tree, Fontainea rostrata, PLOS ONE, 10.1371/journal.pone.0210560, 14, 1, (e0210560), (2019).
    • , Climate change impacts on the distribution of the allergenic plant, common ragweed (Ambrosia artemisiifolia) in the eastern United States, PLOS ONE, 10.1371/journal.pone.0205677, 13, 10, (e0205677), (2018).
    • , Towards functional biodiversity predictions: a hierarchical modelling framework from primary productivity to biomass of upper trophic levels, Landscape Ecology, 10.1007/s10980-018-0735-8, (2018).
    • , Tropical Deforestation and Recolonization by Exotic and Native Trees: Spatial Patterns of Tropical Forest Biomass, Functional Groups, and Species Counts and Links to Stand Age, Geoclimate, and Sustainability Goals, Remote Sensing, 10.3390/rs10111724, 10, 11, (1724), (2018).
    • , Climate change decreases suitable areas for rapeseed cultivation in Europe but provides new opportunities for white mustard as an alternative oilseed for biofuel production, PLOS ONE, 10.1371/journal.pone.0207124, 13, 11, (e0207124), (2018).
    • , Niche modelling of the potential distribution of the Egyptian Vulture Neophron percnopterus during summer and winter in Iran, to identify gaps in protected area coverage, Bird Conservation International, 10.1017/S0959270918000278, (1-14), (2018).
    • , Combining phylogeography and future climate change for conservation of Bombus morio and B. pauloensis (Hymenoptera: Apidae), Journal of Insect Conservation, 10.1007/s10841-018-0114-4, (2018).
    • , Assessing the vulnerability of Oak (Quercus) forest ecosystems under projected climate and land use land cover changes in Western Himalaya, Biodiversity and Conservation, 10.1007/s10531-018-1679-7, (2018).
    • , Analysis validation has been neglected in the Age of Reproducibility, PLOS Biology, 10.1371/journal.pbio.3000070, 16, 12, (e3000070), (2018).
    • , Distributional patterns of Neotropical seasonally dry forest birds: a biogeographical regionalization, Cladistics, , (2018).
    • , Niche modeling for the genus Pogona (Squamata: Agamidae) in Australia: predicting past (late Quaternary) and future (2070) areas of suitable habitat , PeerJ, 10.7717/peerj.6128, 6, (e6128), (2018).
    • , Modeling the Asian Longhorned Tick (Acari: Ixodidae) Suitable Habitat in North America, Journal of Medical Entomology, 10.1093/jme/tjy210, (2018).
    • , The area under the precision‐recall curve as a performance metric for rare binary events, Methods in Ecology and Evolution, , (2019).
    • , On the Art of Classification in Spatial Ecology: Fuzziness as an Alternative for Mapping Uncertainty, Frontiers in Ecology and Evolution, 10.3389/fevo.2018.00231, 6, (2018).
    • , A research on usage possibilities of satellite data in wildlife: Modeling habitat suitability of Roe deer(Capreolus capreolus L.) with MaxEnt, Bilge International Journal of Science and Technology Research, 10.30516/bilgesci.399017, (2018).
    • , Modeling the response of an endangered flagship predator to climate change in Iran, Mammal Research, 10.1007/s13364-018-0384-y, (2018).
    • , Climate change and nutria range expansion in the Eastern United States, The Journal of Wildlife Management, , (2019).
    • , Multi-Temporal Analysis of Forest Fire Probability Using Socio-Economic and Environmental Variables, Remote Sensing, 10.3390/rs11010086, 11, 1, (86), (2019).
    • , Natural re-colonization and admixture of wolves (Canis lupus) in the US Pacific Northwest: challenges for the protection and management of rare and endangered taxa, Heredity, 10.1038/s41437-018-0094-x, (2018).
    • , Bioclimatic modeling in the Last Glacial Maximum, Mid-Holocene and facing future climatic changes in the strawberry tree (Arbutus unedo L.), PLOS ONE, 10.1371/journal.pone.0210062, 14, 1, (e0210062), (2019).
    • , Adaptive management and planning for the conservation of four threatened large Asian mammals in a changing climate, Mitigation and Adaptation Strategies for Global Change, 10.1007/s11027-018-9810-3, (2018).
    • , A comparison of methods for mapping species ranges and species richness, Global Ecology and Biogeography, 10.1111/j.1466-822X.2006.00257.x, 0, 0, (060831043455001-???), (2006).
    • , Distribution of Wildlife and Illegal Human Activities in the Lampi Marine National Park (Myanmar), Environmental Conservation, 10.1017/S0376892918000486, (1-8), (2019).
    • , Variation in wild pea ( Pisum sativum subsp. elatius ) seed dormancy and its relationship to the environment and seed coat traits , PeerJ, 10.7717/peerj.6263, 7, (e6263), (2019).
    • , Integration of physiological knowledge into hybrid species distribution modelling to improve forecast of distributional shifts of tropical corals, Diversity and Distributions, , (2019).
    • , Modeling the Effect of Climate Change on the Potential Distribution of Qinghai Spruce (Picea crassifolia Kom.) in Qilian Mountains, Forests, 10.3390/f10010062, 10, 1, (62), (2019).
    • , Conservation planning for species recovery under the Endangered Species Act: A case study with the Northern Spotted Owl, PLOS ONE, 10.1371/journal.pone.0210643, 14, 1, (e0210643), (2019).
    • , Muddy Boots Beget Wisdom: Implications for Rare or Endangered Plant Species Distribution Models, Diversity, 10.3390/d11010010, 11, 1, (10), (2019).
    • , Potential distribution of an invasive pest, Eu, in China as predicted by Maxent, Pest Management Science, , (2019).
    • , A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD, Diversity and Distributions, , (2019).
    • , Modelling potential habitat for snow leopards (Panthera uncia) in Ladakh, India, PLOS ONE, 10.1371/journal.pone.0211509, 14, 1, (e0211509), (2019).
    • , Projected 21st‐century distribution of canopy‐forming seaweeds in the Northwest Atlantic with climate change, Diversity and Distributions, , (2019).
    • , Describing vegetation characteristics used by two rare forest-dwelling species: Will established reserves provide for coastal marten in Oregon?, PLOS ONE, 10.1371/journal.pone.0210865, 14, 1, (e0210865), (2019).
    • , Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa, Remote Sensing, 10.3390/rs11030278, 11, 3, (278), (2019).
    • , Evaluating giant panda as a surrogate species for conservation co-occurring species in the Baishuijiang National Nature Reserve, Environmental Science and Pollution Research, 10.1007/s11356-019-04420-x, (2019).
    • , A pathway for multivariate analysis of ecological communities using copulas, Ecology and Evolution, , (2019).
    • , Prediction of Large Whale Distributions: A Comparison of Presence–Absence and Presence-Only Modeling Techniques, Frontiers in Marine Science, 10.3389/fmars.2018.00419, 5, (2018).
    • , The informative value of museum collections for ecology and conservation: A comparison with target sampling in the Brazilian Atlantic forest, PLOS ONE, 10.1371/journal.pone.0205710, 13, 11, (e0205710), (2018).
    • , Reducing Wallacean shortfalls for the coralsnakes of the Micrurus lemniscatus species complex: Present and future distributions under a changing climate, PLOS ONE, 10.1371/journal.pone.0205164, 13, 11, (e0205164), (2018).
    • , Modeling the Ecological Niche: A Case Study on Bioclimatic Factors Related to the Distribution of Phlebotomus tobbi Adler & Theodor (Diptera: Psychodidae) in Two Endemic Foci of Adana , Journal of Medical Entomology, 10.1093/jme/tjz008, (2019).
    • , Regional adaptation of European beech (Fagus sylvatica) to drought in Central European conditions considering environmental suitability and economic implications, Regional Environmental Change, 10.1007/s10113-019-01472-0, (2019).
    • , Chiropteran diversity and the key determinants of their distribution in Eastern Ghats, India, Biodiversity and Conservation, 10.1007/s10531-019-01715-w, (2019).
    • , Strategies for mammal conservation under climate change in the Amazon, Biodiversity and Conservation, 10.1007/s10531-018-1518-x, (2018).
    • , Using ecological niche models to describe the geographical distribution of the myiasis-causing Cochliomyia hominivorax (Diptera: Calliphoridae) in southern South America, Parasitology Research, 10.1007/s00436-019-06267-0, (2019).
    • , Predicting hotspots for threatened plant species in boreal peatlands, Biodiversity and Conservation, 10.1007/s10531-019-01717-8, (2019).
    • , Species Distribution Modeling: A Biosocial Approach, Papers in Applied Geography, 10.1080/23754931.2018.1517273, (1-15), (2019).
    • , Environmental filtering improves ecological niche models across multiple scales, Methods in Ecology and Evolution, , (2019).
    • , An evaluation of the current extent and potential spread of Black Bass invasions in South Africa, Biological Invasions, 10.1007/s10530-019-01930-0, (2019).
    • , Effects of changing development patterns and ignition locations within Central Texas, PLOS ONE, 10.1371/journal.pone.0211454, 14, 2, (e0211454), (2019).
    • , Insights into the BRT (Boosted Regression Trees) Method in the Study of the Climate-Growth Relationship of Masson Pine in Subtropical China, Forests, 10.3390/f10030228, 10, 3, (228), (2019).
    • , Modeling habitat suitability for chimpanzees (Pan troglodytes verus) in the Greater Nimba Landscape, Guinea, West Africa, Primates, 10.1007/s10329-018-0657-8, (2018).
    • , Multi-Scenario Species Distribution Modeling, Insects, 10.3390/insects10030065, 10, 3, (65), (2019).
    • , Habitat differentiation and conservation gap of Magnolia biondii , M. denudata , and M. sprengeri in China , PeerJ, 10.7717/peerj.6126, 6, (e6126), (2019).
    • , From Science to Evidence – How Biodiversity Indicators Can Be Used for Effective Marine Conservation Policy and Management, Frontiers in Marine Science, 10.3389/fmars.2019.00109, 6, (2019).