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

被引:40
|
作者
Fordham, Damien A. [1 ,2 ]
Akcakaya, H. Resit [3 ]
Alroy, John [4 ]
Saltre, FredeRik [1 ,2 ]
Wigley, Tom M. L. [1 ,2 ,5 ]
Brook, Barry W. [6 ]
机构
[1] Univ Adelaide, Inst Environm, Adelaide, SA 5005, Australia
[2] Univ Adelaide, Sch Biol Sci, Adelaide, SA 5005, Australia
[3] SUNY Stony Brook, Dept Ecol & Evolut, Stony Brook, NY 11794 USA
[4] Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia
[5] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA
[6] Univ Tasmania, Sch Biol Sci, Private Bag 55, Hobart, Tas 7001, Australia
基金
澳大利亚研究理事会; 美国国家科学基金会;
关键词
SPECIES DISTRIBUTION MODELS; CLIMATE-CHANGE; EXTINCTION RISK; RANGE DYNAMICS; ANCIENT DNA; LIFE-HISTORY; CONSERVATION; REFUGIA; EVOLUTIONARY; PLEISTOCENE;
D O I
10.1038/NCLIMATE3086
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:909 / 916
页数:8
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