Predicting species distributions for conservation decisions.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_60CB77BD7522
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predicting species distributions for conservation decisions.
Journal
Ecology Letters
Author(s)
Guisan A., Tingley R., Baumgartner J.B., Naujokaitis-Lewis I., Sutcliffe P.R., Tulloch A.I., Regan T.J., Brotons L., McDonald-Madden E., Mantyka-Pringle C., Martin T.G., Rhodes J.R., Maggini R., Setterfield S.A., Elith J., Schwartz M.W., Wintle B.A., Broennimann O., Austin M., Ferrier S., Kearney M.R., Possingham H.P., Buckley Y.M.
ISSN
1461-0248 (Electronic)
ISSN-L
1461-023X
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
16
Number
12
Pages
1424-1435
Language
english
Abstract
Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of 'translators' between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.
Keywords
Species distribution model, environmental suitability, structured decision making, biological invasions, reserve selection, critical habitats, translocation, conservation planning.
Pubmed
Web of science
Open Access
Yes
Create date
08/09/2013 15:10
Last modification date
20/08/2019 14:18
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