Predicting species distribution: offering more than simple habitat models

Details

Serval ID
serval:BIB_8122F431F096
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predicting species distribution: offering more than simple habitat models
Journal
Ecology Letters
Author(s)
Guisan A., Thuiller W.
ISSN
1461-023X
Publication state
Published
Issued date
2005
Peer-reviewed
Oui
Volume
8
Number
9
Pages
993-1009
Language
english
Abstract
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.
Keywords
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
Yes
Create date
24/01/2008 20:05
Last modification date
20/08/2019 15:41
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