Measuring the relative effect of factors affecting species distribution model predictions

Details

Serval ID
serval:BIB_FD78C2B7C0FE
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Measuring the relative effect of factors affecting species distribution model predictions
Journal
Methods in Ecology and Evolution
Author(s)
Thibaud E., Petitpierre B., Broennimann O., Davison A.C., Guisan A.
ISSN
2041-210X; 2041-2096 (electronic)
ISSN-L
2041-210X
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
5
Number
9
Pages
947-955
Language
english
Abstract
1. Species distribution models are increasingly used to address conservation questions, so their
predictive capacity requires careful evaluation. Previous studies have shown how individual
factors used in model construction can affect prediction. Although some factors probably
have negligible effects compared to others, their relative effects are largely unknown.
2. We introduce a general "virtual ecologist" framework to study the relative importance of
factors involved in the construction of species distribution models.
3. We illustrate the framework by examining the relative importance of five key factors-a
missing covariate, spatial autocorrelation due to a dispersal process in presences/absences,
sample size, sampling design and modeling technique-in a real study framework based on
plants in a mountain landscape at regional scale, and show that, for the parameter values
considered here, most of the variation in prediction accuracy is due to sample size and modeling
technique. Contrary to repeatedly reported concerns, spatial autocorrelation has only
comparatively small effects.
4. This study shows the importance of using a nested statistical framework to evaluate the relative
effects of factors that may affect species distribution models.
Keywords
linear mixed-effects model, relative importance, spatial autocorrelation, virtual ecologist
Web of science
Open Access
Yes
Create date
26/04/2014 14:37
Last modification date
20/08/2019 16:28
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