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在经历极端气候变率的鱼类种群中,种群持久性随承载能力的变化并未渐近。

The scaling of population persistence with carrying capacity does not asymptote in populations of a fish experiencing extreme climate variability.

作者信息

White Richard S A, Wintle Brendan A, McHugh Peter A, Booker Douglas J, McIntosh Angus R

机构信息

School of Biological Sciences, University of Canterbury, Christchurch, New Zealand

School of BioSciences, University of Melbourne, Melbourne, Australia.

出版信息

Proc Biol Sci. 2017 Jun 14;284(1856). doi: 10.1098/rspb.2017.0826.

DOI:10.1098/rspb.2017.0826
PMID:28615503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5474084/
Abstract

Despite growing concerns regarding increasing frequency of extreme climate events and declining population sizes, the influence of environmental stochasticity on the relationship between population carrying capacity and time-to-extinction has received little empirical attention. While time-to-extinction increases exponentially with carrying capacity in constant environments, theoretical models suggest increasing environmental stochasticity causes asymptotic scaling, thus making minimum viable carrying capacity vastly uncertain in variable environments. Using empirical estimates of environmental stochasticity in fish metapopulations, we showed that increasing environmental stochasticity resulting from extreme droughts was insufficient to create asymptotic scaling of time-to-extinction with carrying capacity in local populations as predicted by theory. Local time-to-extinction increased with carrying capacity due to declining sensitivity to demographic stochasticity, and the slope of this relationship declined significantly as environmental stochasticity increased. However, recent 1 in 25 yr extreme droughts were insufficient to extirpate populations with large carrying capacity. Consequently, large populations may be more resilient to environmental stochasticity than previously thought. The lack of carrying capacity-related asymptotes in persistence under extreme climate variability reveals how small populations affected by habitat loss or overharvesting, may be disproportionately threatened by increases in extreme climate events with global warming.

摘要

尽管人们越来越关注极端气候事件发生频率的增加和种群数量的减少,但环境随机性对种群承载能力与灭绝时间之间关系的影响却很少受到实证关注。在恒定环境中,灭绝时间随承载能力呈指数增长,而理论模型表明,环境随机性增加会导致渐近标度,从而使可变环境中的最小可行承载能力极不确定。利用鱼类集合种群中环境随机性的实证估计,我们发现,极端干旱导致的环境随机性增加,并不足以像理论预测的那样,使当地种群的灭绝时间与承载能力呈现渐近标度。由于对 demographic 随机性的敏感性下降,当地的灭绝时间随承载能力增加,并且随着环境随机性增加,这种关系的斜率显著下降。然而,最近每 25 年发生一次的极端干旱并不足以使具有大承载能力的种群灭绝。因此,大种群可能比以前认为的更能抵御环境随机性。在极端气候变率下,持久性缺乏与承载能力相关的渐近线,这揭示了受栖息地丧失或过度捕捞影响的小种群,可能如何因全球变暖导致的极端气候事件增加而受到不成比例的威胁。

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Risks of Population Extinction from Demographic and Environmental Stochasticity and Random Catastrophes.人口因人口统计学和环境随机性以及随机灾难而灭绝的风险。
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