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Predicting extinctions as a result of climate change

机译:预测由于气候变化而导致的灭绝

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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.
机译:广泛的灭绝是全球变暖的预期生态后果。气候变化情景下的灭绝风险是分布广度的函数。着眼于美国东部的树木和鸟类,我们使用了联合的气候和环境模型来检验适应度和气候变化脆弱性与分布宽度的关系。我们发现,灭绝脆弱性随着分布规模的减小而增加。我们还发现,模型拟合随着分布尺寸的减小而减小,从而导致狭窄分布物种之间的高预测不确定性。较高的预测不确定性造成了保护困境,因为将这些物种排除在外而无法预测灭绝的风险,并倾向于对全球变暖采取错误的行动。相比之下,包括狭end的地方性物种将导致对灭绝风险的过度预测,并助长代表过早注定灭绝的单个物种的不作为。

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