Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

Do they? How do they? WHY do they differ? On finding reasons for differing performances of... Species distribution models (SDMs) are increasingly being used to address a diverse range of applied and theoretical questions ( Guisan and Thuiller 2005 , Jeschke and Strayer 2008 ). Also known as ecological niche models, bioclimatic envelopes, habitat models and resource selection functions, SDMs are correlative models that use environmental and/or geographic information to explain observed patterns of species occurrences. Their expanding use means that models are now being fitted to new forms of data, including a recent focus on modelling occurrence records from museums or herbaria ( Graham et al. 2004 ). For some applications, such as climate change or invasive species research, model predictions are extended beyond the geographic or environmental region from which training samples were drawn ( Araújo et al. 2005 ). SDMs are also being used in a variety of fields including evolutionary biology, where they are used to study topics such as speciation or hybrid zones ( Kozak et al. 2008 ) and epidemiology, where they are used to predict the spread of disease ( Peterson et al. 2002 ). As a result of these diverse uses of SDMs that have been spurred on by advances in geographic information systems (GTS, Foody http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecography Wiley

Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

Ecography, Volume 32 (1) – Feb 1, 2009

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Publisher
Wiley
Copyright
© 2009 The Authors
ISSN
0906-7590
eISSN
1600-0587
DOI
10.1111/j.1600-0587.2008.05505.x
Publisher site
See Article on Publisher Site

Abstract

Species distribution models (SDMs) are increasingly being used to address a diverse range of applied and theoretical questions ( Guisan and Thuiller 2005 , Jeschke and Strayer 2008 ). Also known as ecological niche models, bioclimatic envelopes, habitat models and resource selection functions, SDMs are correlative models that use environmental and/or geographic information to explain observed patterns of species occurrences. Their expanding use means that models are now being fitted to new forms of data, including a recent focus on modelling occurrence records from museums or herbaria ( Graham et al. 2004 ). For some applications, such as climate change or invasive species research, model predictions are extended beyond the geographic or environmental region from which training samples were drawn ( Araújo et al. 2005 ). SDMs are also being used in a variety of fields including evolutionary biology, where they are used to study topics such as speciation or hybrid zones ( Kozak et al. 2008 ) and epidemiology, where they are used to predict the spread of disease ( Peterson et al. 2002 ). As a result of these diverse uses of SDMs that have been spurred on by advances in geographic information systems (GTS, Foody

Journal

EcographyWiley

Published: Feb 1, 2009

References

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