Five (or so) challenges for species distribution modelling

Details

Serval ID
serval:BIB_9CD0772A72E5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Five (or so) challenges for species distribution modelling
Journal
Journal of Biogeography
Author(s)
Araujo M. B., Guisan A.
ISSN
0305-0270
Publication state
Published
Issued date
2006
Peer-reviewed
Oui
Volume
33
Number
10
Pages
1677-1688
Language
english
Notes
Workshop on Generalized Regression Analyses and Spatial Predictions
Riederalp, SWITZERLAND, AUG, 2004
Abstract
Species distribution modelling is central to both fundamental and applied research in biogeography. Despite widespread use of models, there are still important conceptual ambiguities as well as biotic and algorithmic uncertainties that need to be investigated in order to increase confidence in model results. We identify and discuss five areas of enquiry that are of high importance for species distribution modelling: (1) clarification of the niche concept; (2) improved designs for sampling data for building models; (3) improved parameterization; (4) improved model selection and predictor contribution; and (5) improved model evaluation. The challenges discussed in this essay do not preclude the need for developments of other areas of research in this field. However, they are critical for allowing the science of species distribution modelling to move forward.
Keywords
fundamental niche, model evaluation, niche models, parameterization, realized niche, sampling, variable selection
Web of science
Create date
24/01/2008 19:06
Last modification date
20/08/2019 15:03
Usage data