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Predicting and mitigating future biodiversity loss using long-term ecological proxies

Citation

Fordham, DA and Akcakaya, HR and Alroy, J and Saltre, F and Wigley, TML and Brook, BW, Predicting and mitigating future biodiversity loss using long-term ecological proxies, Nature Climate Change, 6, (10) pp. 909-916. ISSN 1758-678X (2016) [Refereed Article]

Copyright Statement

Copyright 2016 Macmillan Publishers Limited, part of Springer Nature

DOI: doi:10.1038/nclimate3086

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.

Item Details

Item Type:Refereed Article
Keywords:predicting, mitigating, biodiversity, ecology, ecologial proxies
Research Division:Environmental Sciences
Research Group:Environmental Science and Management
Research Field:Wildlife and Habitat Management
Objective Division:Environment
Objective Group:Flora, Fauna and Biodiversity
Objective Field:Flora, Fauna and Biodiversity at Regional or Larger Scales
Author:Brook, BW (Professor Barry Brook)
ID Code:115960
Year Published:2016
Web of Science® Times Cited:1
Deposited By:Biological Sciences
Deposited On:2017-04-21
Last Modified:2017-11-01
Downloads:0

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