Predicting species distribution: offering more than simple habitat models

Détails

ID Serval
serval:BIB_8122F431F096
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Predicting species distribution: offering more than simple habitat models
Périodique
Ecology Letters
Auteur(s)
Guisan A., Thuiller W.
ISSN
1461-023X
Statut éditorial
Publié
Date de publication
2005
Peer-reviewed
Oui
Volume
8
Numéro
9
Pages
993-1009
Langue
anglais
Résumé
n the last two decades, interest in species distribution models (SDMs) of plants and animals has grown dramatically. Recent advances in SDMs allow us to potentially forecast anthropogenic effects on patterns of biodiversity at different spatial scales. However, some limitations still preclude the use of SDMs in many theoretical and practical applications. Here, we provide an overview of recent advances in this field, discuss the ecological principles and assumptions underpinning SDMs, and highlight critical limitations and decisions inherent in the construction and evaluation of SDMs. Particular emphasis is given to the use of SDMs for the assessment of climate change impacts and conservation management issues. We suggest new avenues for incorporating species migration, population dynamics, biotic interactions and community ecology into SDMs at multiple spatial scales. Addressing all these issues requires a better integration of SDMs with ecological theory.
Mots-clé
dispersal, ecological niche theory, future projections, habitat suitability maps, population dynamics, prediction errors, predictive biogeography, spatial scales, species distribution models
Web of science
Open Access
Oui
Création de la notice
24/01/2008 20:05
Dernière modification de la notice
08/05/2019 21:08
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