Is life-history buffering or lability adaptive in stochastic environments?
Is life-history buffering or lability adaptive in stochastic environments?
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DOI：
10.1111/j.1600-0706.2009.16399.x
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发表时间：
2009-07-01
期刊：
影响因子：
3.4
通讯作者：
Metcalf, C. Jessica E.
中科院分区：
文献类型：
--
作者：
Koons, David N.;Pavard, Samuel;Metcalf, C. Jessica E.
人们普遍认为，人口参数的时间波动应选择反对，因为有害的影响变化可能对健身。这一预测的一个关键基础是假设环境条件的变化随着时间的推移线性映射到人口参数的变化。我们详细说明了为什么这种假设可能经常打破，为什么选择不应该总是有利于缓冲的人口参数对环境的随机性。相反，环境和人口统计性能之间的非线性关系可以产生非对称的时间变化的人口参数，实际上提高健身。我们将这一结果扩展到结构化的人口模拟，并表明“人口不稳定性”，而不是“缓冲”可能是自适应的，特别是在生物体低的少年或成年人的生存。最后，我们回顾以前的生态工作，并指出“人口不稳定性”可能是自适应的情况下，然后通过确定研究，需要制定一个理论的生活史进化，包括人口缓冲和不稳定性。
It is commonly thought that temporal fluctuations in demographic parameters should be selected against because of the deleterious impacts variation can have on fitness. A critical underpinning of this prediction is the assumption that changes in environmental conditions map linearly into changes in demographic parameters over time. We detail why this assumption may often break down and why selection should not always favor buffering of demographic parameters against environmental stochasticity. To the contrary, nonlinear relationships between the environment and demographic performance can produce asymmetric temporal variation in demographic parameters that actually enhances fitness. We extend this result to structured populations using simulation and show that 'demographic lability' rather than 'buffering' may be adaptive, particularly in organisms with low juvenile or adult survival. Finally, we review previous ecological work, and indicate cases where 'demographic lability' may be adaptive, then conclude by identifying research that is needed to develop a theory of life-history evolution that encompasses both demographic buffering and lability.