Patterns and uncertainties of species' range shifts under climate change

Global Change Biology

Volumn 10, Issue 12, 2004, Pages 2020-2027

  Thuiller, Wilfried ^a,b  

^a CENTRE D ECOLOGIE FONCTIONNELLE ET EVOLUTIVE   (France)

^b SOUTH AFRICAN NATIONAL BIODIVERSITY INSTITUTE   (South Africa)

Author keywords

BIOMOD; Climate change scenarios; Consensus analysis; Niche based models; Plant diversity; Species turnover; Uncertainty

Indexed keywords

BIOCLIMATOLOGY; CLIMATE CHANGE; ECOLOGICAL MODELING; FLORA; GEOGRAPHICAL DISTRIBUTION; NICHE; RANGE SIZE; UNCERTAINTY ANALYSIS;

EASTERN HEMISPHERE; EURASIA; EUROPE; WORLD;

EID: 10944234906     PISSN: 13541013     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-2486.2004.00859.x     Document Type: Article

References (25)

1. Bakkenes M, Alkemade RM, Ihle F et al. (2002) Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Global Change Biology, 8, 390-407.
2. Bartlein PJ, Prentice IC, Webb T (1986) Climatic response surfaces from pollen data for some eastern North American taxa. Journal of Biogeography, 13, 35-57.
3. Breiman L, Friedman JH, Olshen RA et al. (1984) Classification and Regression Trees. Chapman & Hall, New York.
4. Brotons L, Thuiller W, Araújo MB et al. (2004) Presence-absence vs presence-only modelling methods for predicting bird habitat suitability. Ecography, 27, 165-172.
5. Carson DJ (1999) Climate Modelling: achievements and prospects. Quarterly Journal of the Royal Meteorological Society, 125 1, 27.
6. Erasmus BFN, Van Jaarsweld AS, Chown SL et al. (2002) Vulnerability of South African animal taxa to climate change. Global Change Biology, 8, 679-693.
7. Franklin J (1998) Predicting the distribution of shrub species in southern California from climate and terrain-derived variables. Journal of Vegetation Science, 9, 733-748.
8. IPCC (2001) In: Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change (eds Houghton JT, Ding Y, Griggs DJ et al.), Cambridge University Press, Cambridge.
9. Lahti T, Lampinen R (1999) From dot maps to bitmaps - Atlas Florae Europaeae goes digital. Acta Botanica Fennica, 162, 5-9.
10. Manel S, Williams HC, Ormerod SJ (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38, 921-931.
11. Moisen GG, Frescino TS (2002) Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling, 157 209-225.
12. Nakicenovic N, Swart R (eds). (2000) Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
13. Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421, 37-42.
14. Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225-245.
15. Pearson RG, Dawson TE (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12, 361-372.
16. Peterson AT, Ortega-Huerta MA, Bartley J et al. (2002) Future projections for Mexican faunas under global climate change scenarios. Nature, 416, 626-629.
17. Root TL, Price JT, Hall KR et al. (2003) Fingerprints of global warming on wild animals and plants. Nature, 421, 57-60.
18. Stockwell DRB, Peterson AT (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling, 148, 1-13.
19. Thomas CD, Cameron A, Green RE et al. (2004) Extinction risk from climate change. Nature, 427, 145-148.
20. Thuiller W (2003) BIOMOD: optimising predictions of species distributions and projecting potential future shifts under global change. Global Change Biology, 9, 1353-1362.
21. Thuiller W, Araújo MB, Lavorel S (2003) Generalized models versus classification tree analysis: a comparative study for predicting spatial distributions of plant species at different scales. Journal of Vegetation Science, 14, 669-680.
22. Thuiller W, Brotons L, Araújo MB et al. (2004) Effects of restricting environmental range of data to project current and future species distributions. Ecography, 27, 165-172.
23. Westerhuis JA, Kourti T, MaxGregor JF (1998) Analysis of multiblock and hierarchical pca and pls methods. Journal of Chemometrics, 12 463-482.
24. Williams PH, Araújo MB (2000) Using probability of persistence to identify important areas for biodiversity conservation. Proceedings of the Royal Society of London B, 267, 1959-1966.
25. Woodward FI (1987) Climate and Plant Distribution. Cambridge University Press, Cambridge.