Presence‐absence versus presence‐only modelling methods for predicting bird habitat suitability
L. Brotons (brotons@cefe.cnrs‐mop.fr), Inst. Català d'Ornitologia, C./Girona 168, E‐08037 Barcelona, Spain (present address: Centre d'Ecologie Fonctionnelle et Evolutive‐CNRS, 1919 Route de Mende, F‐34293 Montpellier, France). – W. Thuiller and M. B. Araújo, Centre d'Ecologie Fonctionnelle et Evolutive‐CNRS, 1919 Route de Mende, F‐34293 Montpellier, France. – A. H. Hirzel, Conservation Biology, Inst. of Zoology, Univ. of Bern, Baltzerstr. 6, CH‐3012 Bern, Switzerland.
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Abstract
Habitat suitability models can be generated using methods requiring information on species presence or species presence and absence. Knowledge of the predictive performance of such methods becomes a critical issue to establish their optimal scope of application for mapping current species distributions under different constraints. Here, we use breeding bird atlas data in Catalonia as a working example and attempt to analyse the relative performance of two methods: the Ecological Niche factor Analysis (ENFA) using presence data only and Generalised Linear Models (GLM) using presence/absence data. Models were run on a set of forest species with similar habitat requirements, but with varying occurrence rates (prevalence) and niche positions (marginality). Our results support the idea that GLM predictions are more accurate than those obtained with ENFA. This was particularly true when species were using available habitats proportionally to their suitability, making absence data reliable and useful to enhance model calibration. Species marginality in niche space was also correlated to predictive accuracy, i.e. species with less restricted ecological requirements were modelled less accurately than species with more restricted requirements. This pattern was irrespective of the method employed. Models for wide‐ranging and tolerant species were more sensitive to absence data, suggesting that presence/absence methods may be particularly important for predicting distributions of this type of species. We conclude that modellers should consider that species ecological characteristics are critical in determining the accuracy of models and that it is difficult to predict generalist species distributions accurately and this is independent of the method used. Being based on distinct approaches regarding adjustment to data and data quality, habitat distribution modelling methods cover different application areas, making it difficult to identify one that should be universally applicable. Our results suggest however, that if absence data is available, methods using this information should be preferably used in most situations.
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- Hugo Rebelo, Elsa Froufe, Nuno Ferrand and Gareth Jones, 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).
- Christina Kassara, Anastasios Dimalexis, Jakob Fric, Georgios Karris, Christos Barboutis and Spyros Sfenthourakis, 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).
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- Raheleh Dezfoulian, Konrad Mebert, Mahmoud Karami, Mohammad Kaboli and Faraham Ahmadzadeh, Habitat factors determining the distribution of the Caucasian Agama,Laudakia caucasia, (Squamata: Agamidae) in the Sorkh-e-Hesar National Park, Tehran province, Iran, Journal of Natural History, 46, 43-44, (2735), (2012).
- César Capinha, Pedro Anastácio and José António Tenedório, 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).
- Christine Lauzeral, Gaël Grenouillet, Sébastien Brosse and Kimberly Patraw Van Niel, Dealing with Noisy Absences to Optimize Species Distribution Models: An Iterative Ensemble Modelling Approach, PLoS ONE, 7, 11, (e49508), (2012).
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- ALLAN J. PERKINS, ADAM WATSON, HYWEL E. MAGGS, JEREMY D. WILSON and STEPHEN BROWNE, Conservation insights from changing associations between habitat, territory distribution and mating system of Corn Buntings Emberiza calandra over a 20-year population decline, Ibis, 154, 3, (601), (2012).
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- David G. Jenkins, Ranked species occupancy curves reveal common patterns among diverse metacommunities, Global Ecology and Biogeography, 20, 3, (486-497), (2010).
- Christopher T. Rota, Robert J. Fletcher, Jason M. Evans and Richard L. Hutto, Does accounting for imperfect detection improve species distribution models?, Ecography, 34, 4, (659-670), (2013).
- Carlos De Angelo, Agustín Paviolo and Mario Di Bitetti, Differential impact of landscape transformation on pumas (Puma concolor) and jaguars (Panthera onca) in the Upper Paraná Atlantic Forest, Diversity and Distributions, 17, 3, (422-436), (2011).
- Lesley A. Gibson, 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).
- Cang Hui, Llewellyn C. Foxcroft, David M. Richardson and Sandra MacFadyen, Defining optimal sampling effort for large‐scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distribution, Journal of Applied Ecology, 48, 3, (768-776), (2011).
- SYLVAIN LENOIR, GREGORY BEAUGRAND and ÉRIC LECUYER, Modelled spatial distribution of marine fish and projected modifications in the North Atlantic Ocean, Global Change Biology, 17, 1, (115-129), (2010).
- Silvia C. Aranda and Jorge M. Lobo, 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).
- César Capinha, Brian Leung and Pedro Anastácio, Predicting worldwide invasiveness for four major problematic decapods: an evaluation of using different calibration sets, Ecography, 34, 3, (448-459), (2010).
- Gael Grenouillet, Laetitia Buisson, Nicolas Casajus and Sovan Lek, Ensemble modelling of species distribution: the effects of geographical and environmental ranges, Ecography, 34, 1, (9-17), (2011).
- Francesc Sardà-Palomera and David R. Vieites, Modelling Species' Climatic Distributions Under Habitat Constraints: A Case Study withCoturnix coturnix, Annales Zoologici Fennici, 48, 3, (147), (2011).
- Jose-Manuel Álvarez Martínez, Susana Suárez-Seoane and Estanislao De Luis Calabuig, Modelling the risk of land cover change from environmental and socio-economic drivers in heterogeneous and changing landscapes: The role of uncertainty, Landscape and Urban Planning, 10.1016/j.landurbplan.2011.01.009, 101, 2, (108-119), (2011).
- J. Monk, D. Ierodiaconou, A. Bellgrove, E. Harvey and L. Laurenson, Remotely sensed hydroacoustics and observation data for predicting fish habitat suitability, Continental Shelf Research, 31, 2, (S17), (2011).
- Christian Pitra, Susana Suárez-Seoane, Carlos A. Martín, Wolf-Jürgen Streich and Juan C. Alonso, Linking habitat quality with genetic diversity: a lesson from great bustards in Spain, European Journal of Wildlife Research, 57, 3, (411), (2011).
- Jong-Kuk Choi, Hyun-Joo Oh, Bon Joo Koo, Joo-Hyung Ryu and Saro Lee, Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS, Ecological Modelling, 222, 8, (1522), (2011).
- Ana C. Lorena, Luis F.O. Jacintho, Marinez F. Siqueira, Renato De Giovanni, Lúcia G. Lohmann, André C.P.L.F. de Carvalho and Missae Yamamoto, Comparing machine learning classifiers in potential distribution modelling, Expert Systems with Applications, 38, 5, (5268), (2011).
- Peter Zeilhofer and Suzy Mara Klemp, Spatial modelling of sprinkler irrigation suitability in a Central Brazilian Cerrado region, Geocarto International, 26, 3, (227), (2011).
- CHRISTOPHER J. ELLIS, Predicting the biodiversity response to climate change: challenges and advances, Systematics and Biodiversity, 10.1080/14772000.2011.634448, 9, 4, (307-317), (2011).
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- LG Hemery, B Galton-Fenzi, N Améziane, MJ Riddle, SR Rintoul, RJ Beaman, AL Post and M Eléaume, Predicting habitat preferences for Anthometrina adriani (Echinodermata) on the East Antarctic continental shelf, Marine Ecology Progress Series, 441, (105), (2011).
- Zhi Huang, Brendan Brooke and Jin Li, 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).
- Takeshi Osawa, Hiromune Mitsuhashi, Yuta Uematsu and Atushi Ushimaru, Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data, Ecological Informatics, 6, 5, (270), (2011).
- Qi Zengxiang, Xu Weihua, Xiong Xingyao, Ouyang Zhiyun, Zheng Hua and Gan Dexin, Assessment of potential habitat for Ursus thibetanus in the Qinling Moun-tains, Biodiversity Science, 19, 3, (343), (2011).
- María Paula Delgado, Juan Traba and Manuel B. Morales, Climate Niche Constraints in Two Coexisting Steppe Birds: The Little and the Great Bustards, Ardeola, 58, 2, (223), (2011).
- Franziska Rupprecht, Jens Oldeland and Manfred Finckh, 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).
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- Tenley M. Conway and Christopher C. Wellen, Not developed yet? Alternative ways to include locations without changes in land use change models, International Journal of Geographical Information Science, 25, 10, (1613), (2011).
- Dirk Böhme, 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).
- Jorge M. Lobo and Marcelo F. Tognelli, Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data, Journal for Nature Conservation, 19, 1, (1), (2011).
- A. Palialexis, S. Georgakarakos, I. Karakassis, K. Lika and V. D. Valavanis, 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).
- Catherine S. Jarnevich, Paul Evangelista, Thomas J. Stohlgren and Jeffery Morisette, Improving National-Scale Invasion Maps: Tamarisk in the Western United States, Western North American Naturalist, 71, 2, (164), (2011).
- Theodore C. Weber, Maximum entropy modeling of mature hardwood forest distribution in four U.S. states, Forest Ecology and Management, 261, 3, (779), (2011).
- Branislav Bajat, Tomislav Hengl, Milan Kilibarda and Nikola Krunić, Mapping population change index in Southern Serbia (1961–2027) as a function of environmental factors, Computers, Environment and Urban Systems, 35, 1, (35), (2011).
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- Kwang-Seuk Jeong, Ji-Deok Jang, Dong-Kyun Kim and Gea-Jae Joo, Waterfowls habitat modeling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary, Ecological Modelling, 222, 17, (3149), (2011).
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- Tim Newbold, Tom Reader, Ahmed El‐Gabbas, Wiebke Berg, Wael M. Shohdi, Samy Zalat, Sherif Baha El Din and Francis Gilbert, Testing the accuracy of species distribution models using species records from a new field survey, Oikos, 119, 8, (1326-1334), (2010).
- Rubén G. Mateo, Ángel M. Felicísimo and Jesús Muñoz, 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).
- Miguel Clavero, Virgilio Hermoso, Lluís Brotons and Miguel Delibes, Natural, human and spatial constraints to expanding populations of otters in the Iberian Peninsula, Journal of Biogeography, 37, 12, (2345-2357), (2010).
- Carmen Cianfrani, Gwenaëlle Le Lay, Alexandre H. Hirzel and Anna Loy, Do habitat suitability models reliably predict the recovery areas of threatened species?, Journal of Applied Ecology, 47, 2, (421-430), (2010).
- Alexandra D. Syphard and Janet Franklin, Species traits affect the performance of species distribution models for plants in southern California, Journal of Vegetation Science, 21, 1, (177-189), (2009).
- Tiejun Wang, Xinping Ye, Andrew K. Skidmore and Albertus G. Toxopeus, Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes, Journal of Biogeography, 37, 5, (865-878), (2010).
- Hugo Rebelo and Gareth Jones, 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).
- Rubén G. Mateo, Thomas B. Croat, Ángel M. Felicísimo and Jesús Muñoz, 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).
- Mary Smulders, Trisalyn A. Nelson, Dennis E. Jelinski, Scott E. Nielsen and Gordon B. Stenhouse, A spatially explicit method for evaluating accuracy of species distribution models, Diversity and Distributions, 16, 6, (996-1008), (2010).
- PAUL GIOIA, Managing biodiversity data within the context of climate change: towards best practice, Austral Ecology, 35, 4, (392-405), (2009).
- Laura Härkönen, Sauli Härkönen, Arja Kaitala, Sirpa Kaunisto, Raine Kortet, Sauli Laaksonen and Hannu Ylönen, Predicting range expansion of an ectoparasite – the effect of spring and summer temperatures on deer ked Lipoptena cervi (Diptera: Hippoboscidae) performance along a latitudinal gradient, Ecography, 33, 5, (906-912), (2010).
- Jorge M. Soberón, Niche and area of distribution modeling: a population ecology perspective, Ecography, 33, 1, (159-167), (2010).
- JASON M. EVANS, ROBERT J. FLETCHER and JANAKI ALAVALAPATI, Using species distribution models to identify suitable areas for biofuel feedstock production, GCB Bioenergy, 2, 2, (63-78), (2010).
- Flavia Geiger, Jan Bengtsson, Frank Berendse, Wolfgang W. Weisser, Mark Emmerson, Manuel B. Morales, Piotr Ceryngier, Jaan Liira, Teja Tscharntke, Camilla Winqvist, Sönke Eggers, Riccardo Bommarco, Tomas Pärt, Vincent Bretagnolle, Manuel Plantegenest, Lars W. Clement, Christopher Dennis, Catherine Palmer, Juan J. Oñate, Irene Guerrero, Violetta Hawro, Tsipe Aavik, Carsten Thies, Andreas Flohre, Sebastian Hänke, Christina Fischer, Paul W. Goedhart and Pablo Inchausti, Persistent negative effects of pesticides on biodiversity and biological control potential on European farmland, Basic and Applied Ecology, 11, 2, (97), (2010).
- Jorge M. Lobo, Alberto Jiménez‐Valverde and Joaquín Hortal, The uncertain nature of absences and their importance in species distribution modelling, Ecography, 33, 1, (103-114), (2010).
- P. Bombi, 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).
- Assu Gil-Tena, Lluís Brotons and Santiago Saura, Effects of forest landscape change and management on the range expansion of forest bird species in the Mediterranean region, Forest Ecology and Management, 259, 7, (1338), (2010).
- Brian J. Halstead, Glenn D. Wylie and Michael L. Casazza, 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).
- Luis A. Espínola, Carolina V. Minte-Vera and Horácio F. Júlio, 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).
- Priscilla H. C. Crawford and Bruce W. Hoagland, 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).
- Catherine S. Jarnevich, Tracy R. Holcombe, David T. Barnett, Thomas J. Stohlgren and John T. Kartesz, Forecasting Weed Distributions using Climate Data: A GIS Early Warning Tool, Invasive Plant Science and Management, 3, 04, (365), (2010).
- Eduardo T. Mezquida, Agustín Rubio and Otilio Sánchez-Palomares, Evaluation of the potential index model to predict habitat suitability of forest species: the potential distribution of mountain pine (Pinus uncinata) in the Iberian peninsula, European Journal of Forest Research, 10.1007/s10342-009-0275-5, 129, 1, (133-140), (2009).
- Jean-Michel Gaillard, Mark Hebblewhite, Anne Loison, Mark Fuller, Roger Powell, Mathieu Basille and Bram Van Moorter, Habitat–performance relationships: finding the right metric at a given spatial scale, Philosophical Transactions of the Royal Society B: Biological Sciences, 10.1098/rstb.2010.0085, 365, 1550, (2255-2265), (2010).
- Nuria Trotta-Moreu and Jorge M. Lobo, Deriving the Species Richness Distribution of Geotrupinae (Coleoptera: Scarabaeoidea) in Mexico From the Overlap of Individual Model Predictions, Environmental Entomology, 39, 1, (42), (2010).
- Vivyan Lisewski and Christopher J. Ellis, 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).
- Thomas P. Albright, Dean P. Anderson, Nicholas S. Keuler, Scott M. Pearson and Monica G. Turner, The spatial legacy of introduction: Celastrus orbiculatus in the southern Appalachians, USA, Journal of Applied Ecology, 46, 6, (1229-1238), (2009).
- Derek P. Tittensor, Amy R. Baco, Paul E. Brewin, Malcolm R. Clark, Mireille Consalvey, Jason Hall‐Spencer, Ashley A. Rowden, Thomas Schlacher, Karen I. Stocks and Alex D. Rogers, Predicting global habitat suitability for stony corals on seamounts, Journal of Biogeography, 36, 6, (1111-1128), (2009).
- Linda J. Beaumont, Rachael V. Gallagher, Wilfried Thuiller, Paul O. Downey, Michelle R. Leishman and Lesley Hughes, Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions, Diversity and Distributions, 15, 3, (409-420), (2009).
- Gentile Francesco Ficetola, Wilfried Thuiller and Emilio Padoa‐Schioppa, 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).
- Janet Franklin, Katherine E. Wejnert, Stacie A. Hathaway, Carlton J. Rochester and Robert N. Fisher, 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).
- J. S. Thorn, V. Nijman, D. Smith and K. A. I. Nekaris, 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).
- John N. Williams, Changwan Seo, James Thorne, Julie K. Nelson, Susan Erwin, Joshua M. O’Brien and Mark W. Schwartz, Using species distribution models to predict new occurrences for rare plants, Diversity and Distributions, 15, 4, (565-576), (2009).
- N. Pettorelli, A. Hilborn, F. Broekhuis and S. M. Durant, Exploring habitat use by cheetahs using ecological niche factor analysis, Journal of Zoology, 277, 2, (141-148), (2008).
- Sara Varela, Jesús Rodríguez and Jorge M. Lobo, Is current climatic equilibrium a guarantee for the transferability of distribution model predictions? A case study of the spotted hyena, Journal of Biogeography, 36, 9, (1645-1655), (2009).
- MIGUEL NAKAMURA and JORGE SOBERÓN, Use of Approximate Inference in an Index of Completeness of Biological Inventories, Conservation Biology, 23, 2, (469-474), (2008).
- A. M. Latimer, S. Banerjee, H. Sang Jr, E. S. Mosher and J. A. Silander Jr, Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States, Ecology Letters, 12, 2, (144-154), (2009).
- Rebecca A. O'Leary, Samantha Low Choy, Justine V. Murray, Mary Kynn, Robert Denham, Tara G. Martin and Kerrie Mengersen, Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush‐tailed rock‐wallaby Petrogale penicillata, Environmetrics, 20, 4, (379-398), (2008).
- Cang Hui, Melodie A. McGeoch, Belinda Reyers, Peter Cle Roux, Michelle Greve and Steven L. Chown, Extrapolating population size from the occupancy–abundance relationship and the scaling pattern of occupancy, Ecological Applications, 19, 8, (2038-2048), (2009).
- Danilo Boscolo and Jean P. Metzger, Is bird incidence in Atlantic forest fragments influenced by landscape patterns at multiple scales?, Landscape Ecology, 10.1007/s10980-009-9370-8, 24, 7, (907-918), (2009).
- Emilie Praca, Alexandre Gannier, Krishna Das and Sophie Laran, Modelling the habitat suitability of cetaceans: Example of the sperm whale in the northwestern Mediterranean Sea, Deep Sea Research Part I: Oceanographic Research Papers, 10.1016/j.dsr.2008.11.001, 56, 4, (648-657), (2009).
- Andreja Radović and Nataša Tepić, Using Corine Land Cover Habitat Database for the analysis of breeding bird habitat: case study of white storks (Ciconia ciconia) from northern Croatia, Biologia, 64, 6, (2009).
- J. Soberon and M. Nakamura, Niches and distributional areas: Concepts, methods, and assumptions, Proceedings of the National Academy of Sciences, 106, Supplement_2, (19644), (2009).
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- Henrik von Wehrden, Heike Zimmermann, Jan Hanspach, Katrin Ronnenberg and Karsten Wesche, Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range, Folia Geobotanica, 10.1007/s12224-009-9042-0, 44, 3, (211-225), (2009).
- Mathieu Marmion, Miska Luoto, Risto K. Heikkinen and Wilfried Thuiller, The performance of state-of-the-art modelling techniques depends on geographical distribution of species, Ecological Modelling, 220, 24, (3512), (2009).
- Robert A. Montgomery, C. Nichole Rubeck-Schurtz, Kelly F. Millenbah, Gary J. Roloff, Mark E. Whalon and Larry G. Olsen, Modeling Protected Species Habitat and Assigning Risk to Inform Regulatory Decisions, Environmental Management, 10.1007/s00267-009-9289-5, 44, 1, (12-23), (2009).
- Brendan D. Cowled, Fiona Giannini, Sam D. Beckett, Andrew Woolnough, Simon Barry, Lucy Randall and Graeme Garner, Feral pigs: predicting future distributions, Wildlife Research, 10.1071/WR08115, 36, 3, (242), (2009).
- Colin Southwell, David Smith and Angela Bender, Incomplete search effort: a potential source of bias in estimates of Adélie penguin breeding populations in the Australian Antarctic Territory, Polar Record, 45, 04, (375), (2009).
- Gary J. Roloff, Michael L. Donovan, Daniel W. Linden and Marshall L. Strong, Lessons Learned from Using GIS to Model Landscape-Level Wildlife Habitat, Models for Planning Wildlife Conservation in Large Landscapes, 10.1016/B978-0-12-373631-4.00011-3, (287-320), (2009).
- A. Márcia Barbosa, Raimundo Real and J. Mario Vargas, Transferability of environmental favourability models in geographic space: The case of the Iberian desman (Galemys pyrenaicus) in Portugal and Spain, Ecological Modelling, 220, 5, (747), (2009).
- John M. Drake and Jonathan M. Bossenbroek, 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).
- Blair Parsons, Jeff Short and J. Dale Roberts, Using community observations to predict the occurrence of malleefowl (Leipoa ocellata) in the Western Australian wheatbelt, Biological Conservation, 142, 2, (364), (2009).
- Kalle Remm, Madli Linder and Liina Remm, Relative density of finds for assessing similarity-based maps of orchid occurrence, Ecological Modelling, 220, 3, (294), (2009).
- Tim Newbold, Tom Reader, Samy Zalat, Ahmed El-Gabbas and Francis Gilbert, 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).
- Núria Roura-Pascual, Lluís Brotons, A. Townsend Peterson and Wilfried Thuiller, 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).
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