What do we gain from simplicity versus complexity in species distribution models?-Reference-Cited by-同舟云学术

What do we gain from simplicity versus complexity in species distribution models?

Published:2014-09-16 Issue:12 Volume:37 Page:1267-1281
ISSN:0906-7590
Container-title:Ecography
language:en
Short-container-title:Ecography

Author:

Merow Cory¹²³,Smith Mathew J.³,Edwards Thomas C.⁴,Guisan Antoine⁵⁶,McMahon Sean M.¹,Normand Signe⁷⁸,Thuiller Wilfried⁹¹⁰,Wüest Rafael O.⁷⁹¹⁰,Zimmermann Niklaus E.⁷,Elith Jane¹¹

Affiliation:

1. Smithsonian Environmental Research Center; Edgewater MD 21307-0028 USA

2. Univ. of Connecticut, Ecology and Evolutionary Biology; 75 North Eagleville Rd. Storrs CT 06269 USA

3. Computational Science Laboratory, Microsoft Research; CB1 2FB UK

4. U.S. Geological Survey, Utah Cooperative Fish and Wildlife Research Unit and Dept of Wildland Resources; Utah State Univ.; Logan UT 84322 USA

5. Dept d'Ecologie et d'Evolution; Univ. de Lausanne; CH-1015 Lausanne Switzerland

6. Inst. of Earth Surface Dynamics, Univ. de Lausanne; CH-1015 Lausanne Switzerland

7. Landscape Dynamics, Swiss Federal Research Inst. WSL; Zürcherstr. 111 CH-8903 Birmensdorf Switzerland

8. Ecoinformatics and Biodiversity, Dept of Bioscience; Aarhus Univ.; Ny Munkegade 116 DK-8000 Aarhus C Denmark

9. Univ. Grenoble Alpes, LECA; FR-38000 Grenoble France

10. 10 CNRS, LECA; FR-38000 Grenoble France

11. Centre of Excellence for Biosecurity Risk Analysis, School of Botany, The Univ. of Melbourne; Parkville 3010 Australia

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ecog.00845/fullpdf

Reference105 articles.

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4. Ensemble forecasting of species distributions;Araújo;Trends Ecol. Evol,2007

5. Uses and misuses of bioclimatic envelope modelling;Araujo;Ecology,2012

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