Predicting extinctions as a result of climate change

被引:2
|
作者
Schwartz, Mark W. [1 ]
Iverson, Louis R.
Prasad, Anantha M.
Matthews, Stephen N.
O'Connor, Raymond J.
机构
[1] Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA
[2] USDA Forest Serv, NE Res Stn, Delaware, OH 43015 USA
[3] Ohio State Univ, Sch Nat Resources, Columbus, OH 43210 USA
[4] Univ Maine, Dept Wildlife Ecol, Orono, ME 04469 USA
关键词
climate and environmental models; climate change; distribution breadth; eastern United States; endemic; extinction; prediction uncertainty; regression tree; vulnerability;
D O I
10.1890/0012-9658(2006)87[1611:PEAARO]2.0.CO;2
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Widespread extinction is a predicted ecological consequence of global warming. Extinction risk under climate change scenarios is a function of distribution breadth. Focusing on trees and birds of the eastern United States, we used joint climate and environment models to examine fit and climate change vulnerability as a function of distribution breadth. We found that extinction vulnerability increases with decreasing distribution size. We also found that model fit decreases with decreasing distribution size, resulting in high prediction uncertainty among narrowly distributed species. High prediction uncertainty creates a conservation dilemma in that excluding these species under-predicts extinction risk and favors mistaken inaction on global warming. By contrast, including narrow endemics results in over-predicting extinction risk and promotes mistaken inaction on behalf of individual species prematurely considered doomed to extinction.
引用
收藏
页码:1611 / 1615
页数:5
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