Novel methods improve prediction of species’ distributions from occurrence data-Reference-Cited by-同舟云学术

Novel methods improve prediction of species’ distributions from occurrence data

Published:2006-03-29 Issue:2 Volume:29 Page:129-151
ISSN:0906-7590
Container-title:Ecography
language:en
Short-container-title:Ecography

Author:

Elith Jane,H. Graham Catherine,P. Anderson Robert,Dudík Miroslav,Ferrier Simon,Guisan Antoine,J. Hijmans Robert,Huettmann Falk,R. Leathwick John,Lehmann Anthony,Li Jin,G. Lohmann Lucia,A. Loiselle Bette,Manion Glenn,Moritz Craig,Nakamura Miguel,Nakazawa Yoshinori,McC. M. Overton Jacob,Townsend Peterson A.,J. Phillips Steven,Richardson Karen,Scachetti-Pereira Ricardo,E. Schapire Robert,Soberón Jorge,Williams Stephen,S. Wisz Mary,E. Zimmermann Niklaus

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.2006.0906-7590.04596.x/fullpdf

Reference113 articles.

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3. Selecting areas for species persistence using occurrence data;Araújo;Biol. Conserv.,2000

4. Would climate change drive species out of reserves? An assessment of existing reserve-selection methods;Araújo;Global Change Biol.,2004

5. Validation of species-climate impact models under climate change;Araújo;Global Change Biol.,2005

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