Life history adaptations to fluctuating environments: Combined effects of demographic buffering and lability
Life history adaptations to fluctuating environments: Combined effects of demographic buffering and lability
复制标题
生活史对波动环境的适应：人口缓冲和不稳定性的综合影响
DOI：
10.1101/2021.12.09.471917
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发表时间：
2021
期刊：
影响因子：
8.8
通讯作者：
Y. Vindenes
中科院分区：
文献类型：
--
作者：
Christie Le Coeur;N. Yoccoz;R. Salguero‐Gómez;Y. Vindenes
人口缓冲和不稳定性已被确定为适应性策略，以优化适应波动的环境。这些并不是相互排斥的，但是我们缺乏有效的方法来衡量它们对给定生活史的相对重要性。在这里，我们将随机增长率（健身）分解成组件所产生的非线性响应和方差-协方差的人口参数的环境驱动程序，这使得研究缓冲和不稳定性的联合效应。我们将这种分解应用于154种不同情景下的动物矩阵种群模型，以探索这些主要的适应性成分在不同的生活史中是如何变化的。生活速度快的物种似乎对环境波动的反应更快，无论是积极的还是消极的。它们具有最强的适应性人口不稳定性的潜力，而人口缓冲是慢生活物种的主要策略。我们的分解提供了一个全面的框架来研究生物体如何通过缓冲和不稳定性来适应变化，并预测物种对气候变化的反应。
Demographic buffering and lability have been identified as adaptive strategies to optimise fitness in a fluctuating environment. These are not mutually exclusive, however we lack efficient methods to measure their relative importance for a given life history. Here, we decompose the stochastic growth rate (fitness) into components arising from nonlinear responses and variance-covariance of demographic parameters to an environmental driver, which allows studying joint effects of buffering and lability. We apply this decomposition for 154 animal matrix population models under different scenarios, to explore how these main fitness components vary across life histories. Faster-living species appear more responsive to environmental fluctuations, either positively or negatively. They have the highest potential for strong adaptive demographic lability, while demographic buffering is a main strategy in slow-living species. Our decomposition provides a comprehensive framework to study how organisms adapt to variability through buffering and lability, and to predict species responses to climate change.
影响因子：
16.6
作者：
Compagnoni A;Levin S;Childs DZ;Harpole S;Paniw M;Römer G;Burns JH;Che-Castaldo J;Rüger N;Kunstler G;Bennett JM;Archer CR;Jones OR;Salguero-Gómez R;Knight TM
通讯作者：
Knight TM
生命史特刊评论：快慢连续体并不是人类或其他生命史进化的结局
影响因子：
5.1
作者：
Salguero-Gómez, Roberto
通讯作者：
Salguero-Gómez, Roberto
影响因子：
8.8
作者：
Colchero, Fernando;Jones, Owen R.;Gaillard, Jean-Michel
通讯作者：
Gaillard, Jean-Michel