Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105211
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Type: Journal article
Title: Predicting and mitigating future biodiversity loss using long-term ecological proxies
Author: Fordham, D.
Akçakaya, H.
Alroy, J.
Saltré, F.
Wigley, T.
Brook, B.
Citation: Nature Climate Change, 2016; 6(10):909-916
Publisher: Nature Publishing Group
Issue Date: 2016
ISSN: 1758-678X
1758-6798
Statement of
Responsibility: 
Damien A. Fordham, H. Resit Akçakaya, John Alroy, Frédérik Saltré, Tom M. L. Wigley and Barry W. Brook
Abstract: Uses of long-term ecological proxies in strategies for mitigating future biodiversity loss are too limited in scope. Recent advances in geochronological dating, palaeoclimate reconstructions and molecular techniques for inferring population dynamics offer exciting new prospects for using retrospective knowledge to better forecast and manage ecological outcomes in the face of global change. Opportunities include using fossils, genes and computational models to identify ecological traits that caused species to be differentially prone to regional and range-wide extinction, test if threatened-species assessment approaches work and locate habitats that support stable ecosystems in the face of shifting climates. These long-term retrospective analyses will improve efforts to predict the likely effects of future climate and other environmental change on biodiversity, and target conservation management resources most effectively.
Rights: © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
RMID: 0030056240
DOI: 10.1038/nclimate3086
Grant ID: http://purl.org/au-research/grants/arc/FT140101192
http://purl.org/au-research/grants/arc/DP130103842
http://purl.org/au-research/grants/arc/DP130103261
Appears in Collections:Ecology, Evolution and Landscape Science publications

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