Five (or so) challenges for species distribution modelling

Détails

ID Serval
serval:BIB_9CD0772A72E5
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Five (or so) challenges for species distribution modelling
Périodique
Journal of Biogeography
Auteur⸱e⸱s
Araujo M. B., Guisan A.
ISSN
0305-0270
Statut éditorial
Publié
Date de publication
2006
Peer-reviewed
Oui
Volume
33
Numéro
10
Pages
1677-1688
Langue
anglais
Notes
Workshop on Generalized Regression Analyses and Spatial Predictions
Riederalp, SWITZERLAND, AUG, 2004
Résumé
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.
Mots-clé
fundamental niche, model evaluation, niche models, parameterization, realized niche, sampling, variable selection
Web of science
Création de la notice
24/01/2008 20:06
Dernière modification de la notice
20/08/2019 16:03
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