Model-based uncertainty in species range prediction

Journal of Biogeography

Volumn 33, Issue 10, 2006, Pages 1704-1711

  Pearson, Richard G ^a   Thuiller, Wilfried ^b   Araújo, Miguel B ^c,d,k   Martinez Meyer, Enrique ^e   Brotons, Lluís ^f   McClean, Colin ^g   Miles, Lera ^h   Segurado, Pedro ⁱ   Dawson, Terence P ^j   Lees, David C ^d  

^a DIVISION OF INVERTEBRATE ZOOLOGY   (United States)

^b CNRS   (France)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d DEPARTMENT OF LIFE SCIENCES   (United Kingdom)

^e UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^f CENTRE TECNOLÒGIC FORESTAL DE CATALUNYA   (Spain)

^g UNIVERSITY OF YORK   (United Kingdom)

^h UNITED NATIONS ENVIRONMENT PROGRAMME WORLD CONSERVATION MONITORING CENTRE   (United Kingdom)

ⁱ UNIVERSITY OF ÉVORA   (Portugal)

^j UNIVERSITY OF EDINBURGH   (United Kingdom)

^k MUSEO NACIONAL DE CIENCIAS NATURALES   (Spain)

more..

Author keywords

Bioclimate envelope modelling; Biodiversity; Cape Flora; Climate change; Conservation biogeography; Distribution modelling; Environmental niche modelling; Proteaceae; South Africa; Species biodiversity

Indexed keywords

CLUSTER ANALYSIS; DICOTYLEDON; ENVIRONMENTAL MODELING; MODEL; NICHE; PREDICTION; RANGE SIZE; SPECIES INVENTORY;

AFRICA; SOUTH AFRICA; SOUTHERN AFRICA; SUB-SAHARAN AFRICA; WESTERN CAPE;

PROTEACEAE;

EID: 33748501576     PISSN: 03050270     EISSN: 13652699     Source Type: Journal    
DOI: 10.1111/j.1365-2699.2006.01460.x     Document Type: Article

References (75)

1. Allen, M.R., Stott, P.A., Mitchell, J.F.B., Schnur, R. & Delwort, D.L. (2000) Quantifying the uncertainty in forecasts of anthropogenic climate change. Nature, 407, 617-620.
2. Anderson, R.P. (2003) Real vs. artefactual absences in species distributions: tests for Oryzomys albigularis (Rodentia: Muridae) in Venezuela. Journal of Biogeography, 30, 591-605.
3. Anderson, R.P., Lew, D. & Peterson, A.T. (2003) Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecological Modelling, 162, 211-232.
4. Araújo, M.B. & Pearson, R.G. 2005. Equilibrium of species' distributions with climate. Ecography, 28, 693-695.
5. Araújo, M.B. & Williams, P.H. (2000) Selecting areas for species persistence using occurrence data. Biological Conservation, 96, 331-345.
6. Araújo, M.B., Pearson, R.G., Thuiller, W. & Erhard, M. (2005a) Validation of species-climate impact models under climate change. Global Change Biology, 11, 1504-1513.
7. 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, 529-538.
8. Araújo, M.B., Thuiller, W. & Pearson, R.G. (2006) Climate warming and the decline of amphibians and reptiles in Europe. Journal of Biogeography, doi: 10.1111/j.1365-2699.2006.01482.x.
9. Baker, R.H.A., Sansford, C.E., Jarvis, C.H., Cannon, R.J.C., Macleod, A. & Walters, K.F.A. (2000) The role of climatic mapping in predicting the potential geographical distribution of non-indigenous pests under current and future climates. Agriculture, Ecosystems and Environment, 82, 51-71.
10. Brotons, L., Thuiller, W., Araújo, M.B. & Hirzel, A.H. (2004) Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography, 27, 437-448.
11. Catovsky, S. & Bazzaz, F.A. (1999) Elevated CO2 influences the response of two birch species to soil moisture: implications for forest community structure. Global Change Biology, 5, 507-518.
12. Clarke, K.R. & Gorley, R.N. (2001) Primer v5: user manual/tutorial. PRIMER-E, Plymouth.
13. Clarke, K.R. & Green, R.H. (1988) Statistical design analysis for a 'biological effects' study. Marine Ecology Progress Series, 46, 213-226.
14. Costa, J., Peterson, A.T. & Beard, C.B. (2002) Ecological niche modelling and differentiation of populations of Triatoma brasiliensis Neiva, 1911, the most important Chagas disease vector in northeastern Brazil (Hemiptera, Reduviidae, Triatominae). American Journal of Tropical Medicine and Hygiene, 67, 516-520.
15. Coudun, C. & Gégout, J.C. (2006) Soil nutritional factors improve plant species distribution models: an illustration with Acer campestre (L.) in France. Journal of Biogeography, doi: 10.1111/j.1365-2699.2005.01443.x.
16. 2 and climate change: results from six dynamic global vegetation models. Global Change Biology, 7, 357-373.
17. Davis, A.J., Jenkinson, L.S., Lawton, J.H., Shorrocks, B. & Wood, S. (1998) Making mistakes when predicting shifts in species range in response to global warming. Nature, 391, 783-786.
18. Ferrier, S., Watson, G., Pearce, J. & Drielsma, M. (2002) Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. I. Species-level modelling. Biodiversity and Conservation, 11, 2275-2307.
19. 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, 38-49.
20. Graham, C.H., Ron, S.R., Santos, J.C., Schneider, C.J. & Moritz, C. (2004) Integrating phylogenetics and environmental niche models to explore speciation mechanisms in dendrobatid frogs. Evolution, 58, 1781-1793.
21. Griffiths, G.H., Eversham, B.C. & Roy, D.B. (1999) Integrating species and habitat data for nature conservation in Great Britain: data sources and methods. Global Ecology and Biogeography, 8, 329-345.
22. Hampe, A. (2004) Bioclimatic models: what they detect and what they hide. Global Ecology and Biogeography, 11, 469-471.
23. Hanley, J.A. & McNeil, B.J. (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36.
24. Hannah, L., Midgley, G.F. & Millar, D. (2002) Climate change-integrated conservation strategies. Global Ecology and Biogeography, 11, 485-495.
25. Hannah, L., Midgley, G.F., Hughes, G. & Bomhard, B. (2005) The view from the Cape: extinction risk, protected areas, and climate change. Bioscience, 55, 231-242.
26. Harte, J., Ostling, A., Green, J.L. & Kinzig, A. (2004) Climate change and extinction risk. Nature, 430, 33. doi:10.1038/nature02718.
27. Higgins, S.I., Richardson, D.M., Cowling, R.M. & Trinder-Smith, T.H. (1999) Predicting the landscape-scale distribution of alien plants and their threat to plant diversity. Conservation Biology, 13, 303-313.
28. Huberty, C.J. (1994) Applied discriminant analysis. Wiley Interscience, New York.
29. Huntley, B., Green, R.E., Collingham, Y.C., Hill, J.K., Willis, S.G., Bartlein, P.J., Cramer, W., Hagermeijer, W.J.M. & Thomas, C.J. (2004) The performance of models relating species geographic distributions to climate is independent of trophic level. Ecology Letters, 7, 417-426.
30. Lawton, J.H. (2000) Concluding remarks: a review of some open questions. Ecological consequences of heterogeneity (ed. by M.J. Hutchings, E. John & A.J.A. Stewart), pp. 401-424. Cambridge University Press, Cambridge.
31. Liu, C., Berry, P.M., Dawson, T.P. & Pearson, R.G. (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography, 28, 385-393.
32. Loiselle, B.A., Howell, C.A., Graham, C.H., Goerck, J.M., Brooks, T., Smith, K.G. & Williams, P.H. (2003) Avoiding pitfalls of using species distribution models in conservation planning. Conservation Biology, 17, 1591-1600.
33. Luoto, M., Heikkinen, R.K., Pöyry, J. & Saarinen, K. (2006) Determinants of biogeographical distribution of butterflies in boreal regions. Journal of Biogeography, doi: 10.1111/j.1365-2699.2005.01395.x.
34. Maggini, R., Lehmann, A., Zimmerman, N. & Guisan, A. (2006). Improving generalized regression analysis for spatial predictions of forest communities. Journal of Biogeography, doi: 10.1111/j.1365-2699.2006.01465.x.
35. Manel, S., Williams, H.C. & Ormerod, S.J. (2001) Evaluating presences-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38, 921-931.
36. Martínez-Meyer, E. & Peterson, A.T. (2006) Conservatism of ecological niche characteristics in North American plant species over the Pleistocene-to-Recent transition. Journal of Biogeography, in press.
37. Martinez-Meyer, E., Peterson, A.T. & Navarro-Sigüenza, A.G. (2003) Evolution of seasonal ecological niches in the Passerina buntings (Aves: Cardinalidae). Proceedings of the Royal Society of London Series B, Biological Sciences, 271, 1151-1157.
38. Martinez-Meyer, E., Peterson, A.T. & Hargrove, W.W. (2004) Ecological niches as stable distributional constraints on mammal species, with implications for Pleistocene extinctions and climate change projections for biodiversity. Global Ecology and Biogeography, 13, 305-314.
39. McClean, C., Lovett, J.C., Küper, W., Hannah, L., Sommer, J.H., Barthlott, W., Termansen, M., Smith, G.F., Tokumine, S. & Taplin, J.R.D. (2005) African plant diversity and climate change. Annals of the Missouri Botanical Garden, 92, 139-152.
40. McPherson, J.M., Jetz, W. & Rogers, D.J. (2004) The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact? Journal of Applied Ecology, 41, 811-823.
41. Midgley, G.F., Hannah, L., Millar, D., Rutherford, M.C. & Powerie, L.W. (2002) Assessing the vulnerability of species richness to anthropogenic climate change in a biodiversity hotspot. Global Ecology and Biogeography, 11, 445-451.
42. Midgley, G.F., Hannah, L., Millar, D., Thuiller, W. & Booth, A. (2003) Developing regional and species-level assessments of climate change impacts on biodiversity in the Cape Floristic Region. Biological Conservation, 112, 87-97.
43. Miles, L., Grainger, A. & Phillips, O. (2004) The impact of global climate change on tropical forest biodiversity in Amazonia. Global Ecology and Biogeography, 6, 553-565.
44. Monserud, R.A. & Leemans, R. (1992) Comparing global vegetation maps with the Kappa statistic. Ecological Modelling, 62, 275-293.
45. Nix, H.A. (1986) A biogeographic analysis of Australian elapid snakes. Atlas of elapid snakes (ed. by R. Longmore), pp. 4-15. Australian Government Publishing Service, Canberra.
46. Parra, J.L., Graham, C.C. & Freile, J.F. (2004) Evaluating alternative data sets for ecological niche models of birds in the Andes. Ecography, 27, 350-360.
47. Pearce, J. & Ferrier, S. (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225-245.
48. 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, 361-371.
49. Pearson, R.G. & Dawson, T.P. (2004) Bioclimate envelope models: what they detect and what they hide - response to Hampe (2004). Global Ecology and Biogeography, 13, 471-473.
50. Pearson, R.G. & Dawson, T.P. (2005) Long-distance plant dispersal and habitat fragmentation: identifying conservation targets for spatial landscape planning under climate change. Biological Conservation, 123, 389-401.
51. Pearson, R.G., Dawson, T.P., Berry, P.M. & Harrison, P.A. (2002) SPECIES: a spatial evaluation of climate impact on the envelope of species. Ecological Modelling, 154, 289-300.
52. Pearson, R.G., Dawson, T.P. & Liu, C. (2004) Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography, 27, 285-298.
53. Peterson, A.T., Soberon, J. & Sanchez-Cordero, V. (1999) Conservatism of ecological niches in evolutionary time. Science, 285, 1265-1267.
54. Peterson, A.T., Ortega-Huerta, M.A., Bartley, J., Sanchez-Cordero, V., Soberon, J., Buddemeier, R.W. & Stockwell, D.R.B. (2002) Future projections for Mexican faunas under global climate change scenarios. Nature, 416, 626-629.
55. 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, doi: 10.1111/j.1365-2699.2006. 01466.x.
56. Raxworthy, C.J., Martinez-Meyer, E., Horning, N., Nussbaum, R.A., Schneider, G.E., Ortega-Huerta, M.A. & Peterson, A.T. (2003) Predicting distributions of known and unknown reptile species in Madagascar. Nature, 426, 837-841.
57. Rebelo, A.G. (1992) Protea atlas manual: instruction booklet to the Protea Atlas Project. National Botanical Institute, Claremont, South Africa.
58. Schulze, R.E. (1997) South African atlas of agrohydrology and climatology. Report TT82/96, Water Research Commission, Pretoria.
59. Schulze, R.E. & Perks, L.A. (1999) Assessment of the impact of climate. School of Bioresources Engineering and Environmental Hydrology, University of Natal, Pietermaritzburg.
60. Segurado, P. & Araújo, M.B. (2004) An evaluation of methods for modelling species distributions. Journal of Biogeography, 31, 1555-1568.
61. Soberón, J. & Peterson, A.T. (2004) Biodiversity informatics: managing and applying primary biodiversity data. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 359, 689-698.
62. Stockwell, D.R.B. & Peters, D.P. (1999) The GARP modelling system: problems and solutions to automated spatial prediction. International Journal of Geographical Information Systems, 13, 143-158.
63. Stockwell, D.R.B. & Peterson, A.T. (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling, 148, 1-13.
64. Svenning, J.-C. & Skov, F. (2004) Limited filling of the potential range in European tree species. Ecology Letters, 7, 565-573.
65. Swets, J.A. (1988) Measuring the accuracy of diagnostic systems. Science, 240, 1285-1293.
66. Thomas, C.D., Bodsworth, E.J., Wilson, R.J., Simmons, A.D., Davies, Z.G., Musche, M. & Conradt, L. (2001) Ecological and evolutionary processes at expanding range margins. Nature, 411, 577-581.
67. Thomas, C.D., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y.C., Erasmus, B.F.N., Ferreira de Siquira, M., Grainger, A., Hannah, L., Hughes, L., Huntley, B., van Jaarsveld, A.S., Midgley, G.F., Miles, L., Ortega-Huerta, M.A., Peterson, A.T., Phillips, O.L. & Williams, S.E. (2004) Extinction risk from climate change. Nature, 427, 145-148.
68. Thuiller, W. (2003) BIOMOD - optimizing predictions of species distributions and projecting potential future shifts under global change. Global Change Biology, 9, 1353-1362.
69. Thuiller, W. (2004) Patterns and uncertainties of species' range shifts under climate change. Global Change Biology, 10, 1-8.
70. Thuiller, W., Vaydera, J., Pino, J., Sabate, S., Lavorel, S. & Garcia, C. (2003) Large-scale environmental correlates of forest tree distributions in Catalonia (NE Spain). Global Ecology and Biogeography, 12, 313-325.
71. Thuiller, W., Araújo, M.B., Pearson, R.G., Whittaker, R.J., Brotons, L. & Lavorel, S. (2004a) Uncertainty in predictions of extinction risk. Nature, 430, 33. doi: 10.1038/nature02716.
72. Thuiller, W., Brotons, L., Araújo, M.B. & Lavorel, S. (2004b) Effects of restricting environmental range of data to project current and future species distributions. Ecography, 31, 165-172.
73. 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 of the United States of America, 102, 8245-8250.
74. Williams, P.H., Hannah, L., Andelman, S.J., Midgley, G.F., Araújo, M.B., Hughes, G., Manne, L.L., Martinez-Meyer, E. & Pearson, R.G. (2005) Planning for climate change: identifying minimum-dispersal corridors for the Cape Proteaceae. Conservation Biology, 19, 1063-1074.
75. Woodward, F.I. & Beerling, D.J. (1997) The dynamics of vegetation change: health warnings for equilibrium 'dodo' models. Global Ecology and Biogeography, 6, 413-418.