Extrinsic mortality and senescence: a guide for the perplexed

Charlotte de Vries, Matthias Galipaud, Hanna Kokko
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引用次数: 3

Abstract

Do environments or species traits that lower the mortality of individuals create selection for delaying senescence? Reading the literature creates an impression that mathematically oriented biologists cannot agree on the validity of George Williams' prediction (who claimed 'yes'). The abundance of models and opinions may bewilder those that are new to the field. Here we provide heuristics as well as simple models that outline when the Williams prediction holds, why there is a ‘null model’ where extrinsic mortality does not change the evolution of senescence at all, and why it is also possible to expect the opposite of William’s prediction, where increased extrinsic mortality favours slower senescence. We hope to offer intuition by quantifying how much delaying the ‘placement’ of an offspring into the population reduces its expected contribution to the gene pool of the future. Our first example shows why sometimes increased extrinsic mortality has no effect (the null result), and why density dependence can change that. Thereafter, a model with ten different choices for population regulation shows that high extrinsic mortality favours fast life histories (Williams) if increasing density harms the production of juveniles or their chances to recruit into the population. If instead increasing density harms the survival of older individuals in a population, then high extrinsic mortality favours slow life histories (anti-Williams). We discuss the possibility that empirically found Williams-like patterns provide indirect evidence for population regulation operating via harming the production or fitness prospects of juveniles, as opposed to the survival of established breeders.
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外在的死亡与衰老:困惑者的指南
降低个体死亡率的环境或物种特征是否创造了延缓衰老的选择?阅读这些文献给人的印象是,以数学为导向的生物学家无法同意乔治·威廉姆斯(George Williams)预测的有效性(他声称“是”)。丰富的模型和观点可能会使那些刚进入该领域的人感到困惑。在这里,我们提供了一些启发和简单的模型,概述了威廉姆斯预测何时成立,为什么存在一个“零模型”,即外在死亡率根本不会改变衰老的进化,以及为什么也有可能期望与威廉预测相反的结果,即外在死亡率的增加有利于衰老的减缓。我们希望通过量化延迟将后代“安置”到种群中会在多大程度上降低其对未来基因库的预期贡献,从而提供直觉。我们的第一个例子说明了为什么有时增加的外在死亡率没有影响(无效结果),以及为什么密度依赖可以改变这一点。此后,一个有十种不同的人口调节选择的模型表明,如果增加的密度损害了幼崽的生产或它们加入种群的机会,那么高的外在死亡率有利于快速的生活史(Williams)。相反,如果人口密度的增加损害了人口中老年人的生存,那么高的外在死亡率有利于缓慢的生活史(反威廉姆斯)。我们讨论了这样一种可能性,即从经验上发现的Williams-like模式为种群调节的运作提供了间接证据,这种调节是通过损害幼体的生产或适应性前景来实现的,而不是通过损害已建立的繁殖者的生存来实现的。
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