SEARCH

SEARCH BY CITATION

References

  • Akaike, H. (1974) A new look at statistical model identification. IEEE Transactions on Automated Control, 19, 716722.
  • Araújo, M.B. & Williams, P.H. (2000) Selecting areas for species persistence using occurrence data. Biological Conservation, 96, 331345.
  • Araújo, M.B., Pearson, R.G., Thuiller, W. & Erhard, M. (2005a) Validation of species–climate impact models under climate change. Global Change Biology, 11, 15041513.
  • Araújo, M.B., Thuiller, W. & Pearson, R.G. (2006) Climate warming and the decline of amphibians and reptiles in Europe. Journal of Biogeography (in press).
  • Araújo, M.B., Whittaker, R.J., Ladle, R.J. & Erhard, M. (2005b) Reducing uncertainty in projections of extinction risk from climate change. Global Ecology and Biogeography, 14, 529538.
  • Augustin, N.H., Mugglestone, M.A. & Buckland, S.T. (1996) An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology, 33, 339347.
  • Austin, G.E., Thomas, C.J., Houston, D.C. & Thompson, B.A. (1996) Predicting the spatial distribution of buzzard Buteo buteo nesting areas using geographical information systems and remote sensing. Journal of Applied Ecology, 33, 15411550.
  • Borcard, D., Legendre, P. & Drapeau, P. (1992) Partialling out the spatial component of ecological variation. Ecology, 73, 10451055.
  • Brito, J.C., Crespo, E.G. & Paulo, O.S. (1999) Modelling wildlife distribution: logistic multiple regression vs overlap analysis. Ecography, 22, 151260.
  • Burnham, K.P. & Anderson, D.R. (2002) Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, 2nd edn. Springer-Verlag, New York, NY.
  • Catry, P., Campos, A., Segurado, P., Silva, M. & Strange, I. (2003) Population census and nesting habitat selection of thin-billed prion Pachyptila belcheri on New Island, Falkland Islands. Polar Biology, 26, 202207.
  • Clark, L.A. & Pregibon, D. (1992) Tree-based models. Statistical Models in S (eds J.M.Chambers & T.J. Hastie), pp. 377419. Chapman & Hall, New York, NY.
  • Cliff, A.D. & Ord, J.K. (1973) Spatial Autocorrelation. Pion Limited, London, UK.
  • Dale, M.R.T. & Fortin, M.-J. (2002) Spatial autocorrelation and statistical tests in ecology. Écoscience, 9, 162167.
  • Derksen, S. & Keselman, H.J. (1992) Backward, forward and stepwise automated subset selection algorithms: frequency of obtaining authentic and noise variables. British Journal of Mathematical and Statistical Psychology, 45, 265282.
  • Diniz-Filho, J.A.F., Bini, L.M. & Hawkins, B.A. (2003) Spatial autocorrelation and red herrings in geographical ecology. Global Ecology and Biogeography, 12, 5364.
  • Dutilleul, P. (1993) Modifying the t test for assessing the correlation between two spatial processes. Biometrics, 49, 305314.
  • Fielding, A.H. & Bell, J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 3849.
  • Fortin, M.-J. & Jacquez, G.M. (2000) Randomization tests and spatially autocorrelated data. Bulletin of the Ecological Society of America, 81, 201206.
  • Fortin, M.-J. & Payette, S. (2002) How to test the significance of the relation between spatially autocorrelated data at the landscape scale: a case study using fire and forest maps. Écoscience, 9, 213218.
  • Franklin, J. (1998) Predicting the distribution of shrub species in southern California from climate and terrain-derived variables. Journal of Vegetation Science, 9, 733748.
  • Gates, S., Gibbons, D.W., Lack, P.C. & Fuller, R.J. (1994) Declining farmland bird species: modelling geographical patterns of abundance in Britain. Large-Scale Ecology and Conservation Biology (eds P.J.Edwards, R.M.May & N.R. Webb), pp. 153177. Blackwell Science, London, UK.
  • Godinho, R., Teixeira, A., Rebelo, R., Segurado, P., Loureiro, A., Álvares, F., Gomes, N., Cardoso, P., Camilo-Alves, C. & Brito, J.C. (1999) Atlas of the continental Portuguese herpetofauna: an assemblage of published and new data. Revista Española de Herpetologia, 13, 6182.
  • Guisan, A. & Theurillat, J.P. (2000) Assessing alpine plant vulnerability to climate change: a modelling perspective. Integrated Assessment, 1, 307320.
  • Guisan, A. & Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147186.
  • Hampe, A. (2004) Bioclimate envelope models: what they detect and what they hide. Global Ecology and Biogeography, 13, 469471.
  • Harrison, S. (1997) How natural habitat patchiness affects the distribution of diversity in Californian serpentine chaparral. Ecology, 78, 18981906.
  • Hastie, T. & Tibshirani, R. (1990) Generalised Additive Models. Chapman & Hall, London, UK.
  • Hosmer, D.W. Jr & Lemeshow, S. (1989) Applied Logistic Regression. John Wiley & Sons, New York, NY.
  • Keitt, T.H., Bjørnstad, O.N., Dixon, P.M. & Citron-Pousty, S. (2002) Accounting for spatial pattern when modeling organism–environment interactions. Ecography, 25, 616625.
  • Keller, C. & Andreu, A.C. (2002) Emys orbicularis. Atlas y Libro Rojo de Los Anfibios y Reptiles de España (eds J.M.Pleguezelos, R.Marquez & M. Lizana), pp. 137140. Dirección General de la Conservación de la Naturaleza, Madrid, Spain.
  • Koening, W.D. & Knops, M.H. (1998) Testing for spatial autocorrelation in ecological studies. Ecography, 21, 423429.
  • Legendre, P. (1993) Spatial autocorrelation: trouble or new paradigm? Ecology, 74, 16591673.
  • Legendre, P., Dale, M.R.T., Fortin, M.-J., Casgrain, P. & Gurevitch, J. (2004) Effects of spatial structures on the results of field experiments. Ecology, 85, 32023214.
  • Legendre, P., Dale, M.R.T., Fortin, M.-J., Casgrain, P., Gurevitch, J., Hohn, M. & Myers, K. (2002) The consequence of spatial structure for the design and analysis of ecological field surveys. Ecography, 25, 601615.
  • Lennon, J.J. (2000) Red-shifts and red herrings in geographical ecology. Ecography, 23, 101113.
  • Lichstein, J.W., Simons, T.R., Shriner, S.A. & Franzreb, K.E. (2002) Spatial autocorrelation and autoregressive models in ecology. Ecological Monographs, 72, 445463.
  • McCullagh, P. & Nelder, J.A. (1983) Generalized Linear Models. Chapman & Hall, London, UK.
  • Manel, S., Dias, J.M., Buckton, S.T. & Ormerod, S.J. (1999) Alternative methods for predicting species distribution: an illustration with Himalayan river birds. Journal of Applied Ecology, 36, 734747.
  • Maurer, B.A. (1994) Geographical Population Analysis: Tools for the Analysis of Biodiversity. Blackwell Science, Oxford, UK.
  • Midgley, G.F., Hannah, L., Millar, D., Rutherford, M.C. & Powrie, L.W. (2002) Assessing the vulnerability of species richness to anthropogenic climate change in a biodiversity hotspot. Global Ecology and Biogeography, 11, 445451.
  • New, M., Hulme, M. & Jones, P.D. (2000) Representing twentieth century space time climate variability. II. Development of 1901–96 monthly grids of terrestrial surface climate. Journal of Climate, 13, 22172238.
  • Olden, J.D., Jackson, D.A. & Peres-Neto, P.R. (2002) Predictive models of fish species distributions: a note on proper validation and chance predictions. Transactions of the American Fisheries Society, 131, 329336.
  • Palmer, M.W. & Van der Maarel, E. (1995) Variance in species richness, species association, and niche limitation. Oikos, 73, 203213.
  • Pearce, J. & Ferrier, S. (2000) An evaluation of alternative algorithms for fitting species distribution models using logistic regression. Ecological Modelling, 128, 127147.
  • Pearson, R.G. & Dawson, T.P. (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12, 361371.
  • Pereira, J.M.C. & Itami, R.M. (1991) GIS-based habitat modeling using logistic multiple regression: a study of the Mt Graham red squirrel. Photogrammetric Engineering and Remote Sensing, 57, 14751486.
  • Peterson, A.T., Ortega-Huerta, M.A., Bartley, J., Sanchez-Cordero, V., Soberon, J., Buddemeier, R.H. & Stockwell, D.R.B. (2002) Future projections for Mexican faunas under global climate change scenarios. Nature, 416, 626629.
  • Randin, C.F., Dirnböck, T., Dullinger, S., Zimmermann, N.E., Zappa, M. & Guisan, A. (2006) Are niche-based species distribution models transferable in space? Journal of Biogeography (in press).
  • Rowlingson, B. & Diggle, P.J. (1993) Splancs: spatial point pattern analysis code in S-PLUS. Computers and Geosciences, 19, 627655.
  • Roxburgh, S.H. & Chesson, P. (1998) A new method for detecting species associations with spatially autocorrelated data. Ecology, 79, 21802192.
  • Segurado, P. & Araújo, M.B. (2004) An evaluation of methods for modelling species distributions. Journal of Biogeography, 31, 15551568.
  • Da Silva, E., (2002) Mauremys leprosa (Schweiger, 1812). Atlas y Libro Rojo de Los Anfibios y Reptiles de España (eds J.M.Pleguezelos, R.Marquez & M. Lizana), pp. 143146. Dirección General de la Conservación de la Naturaleza, Madrid, Spain.
  • Smith, P.A. (1994) Autocorrelation in logistic regression modelling of species distribution. Global Ecology and Biogeography Letters, 4, 4761.
  • Statistical Sciences (1999) S-Plus Version 2000 for Windows. Mathsoft Inc., Seattle, WA.
  • Stephens, P.A., Buskirk, S.W., Hayward, G.D. & Martínez del Rio, C. (2005) Information theory and hypothesis testing: a call for pluralism. Journal of Applied Ecology, 42, 412.
  • Storch, D., Konvièka, M., Beneš, J., Martinková, J. & Gaston, K.J. (2003) Distribution patterns in butterflies and birds of the Czech Republic: separating effects of habitat and geographic position. Journal of Biogeography, 30, 11951205.
  • Thomas, C.D., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y., Erasmus, B.F.N., De Siqueira, M.F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., Van Jaarsveld, A.S., Midgley, G.F., Miles, L.J., Ortega-Huerta, M.A., Peterson, A.T., Phillips, O. & Williams, S.E. (2004) Extinction risk from climate change. Nature, 427, 145148.
  • Thuiller, W. (2003) Optimizing predictions of species distributions and projecting potential future shifts under global change. Global Change Biology, 9, 13531362.
  • Thuiller, W. (2004) Patterns and uncertainties of species’ range shifts under climate change. Global Change Biology, 10, 22202227.
  • Thuiller, W., Araújo, M.B., Pearson, R.G., Whittaker, R.J., Brotons, L. & Lavorel, S. (2004) Uncertainty in predictions of extinction risk. Nature, 430, 33.
  • Thuiller, W., Lavorel, S., Araújo, M.B., Sykes, M.T. & Prentice, I.C. (2005) Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences, USA, 102, 82458250.
  • Walker, P.A. (1990) Modelling wildlife distributions using a geographic information system: kangaroos in relation to climate. Journal of Biogeography, 17, 279289.
  • Watkins, A.J. & Wilson, J.B. (1992) Fine-scale community structure of lawns. Journal of Ecology, 80, 1524.