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Variability in life-history switch points across and within populations explained by Adaptive Dynamics

机译:自适应动力学解释了种群之间和种群内部的生命历史转换点的变异性

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摘要

Understanding the factors that shape the timing of life-history switch points (SPs; e.g. hatching, metamorphosis and maturation) is a fundamental question in evolutionary ecology. Previous studies examining this question from a fitness optimization perspective have advanced our understanding of why the timing of life-history transitions may vary across populations and environments. However, in nature we also often observe variability among individuals within populations. Optimization theory, which typically predicts a single optimal SP under physiological and environmental constraints for a given environment, cannot explain this variability. Here, we re-examine the evolution of a single life-history SP between juvenile and adult stages from an Adaptive Dynamics (AD) perspective, which explicitly considers the feedback between the dynamics of population and the evolution of life-history strategy. The AD model, although simple in structure, exhibits a diverse range of evolutionary scenarios depending upon demographic and environmental conditions, including the loss of the juvenile stage, a single optimal SP, alternative optimal SPs depending on the initial phenotype, and sympatric coexistence of two SP phenotypes under disruptive selection. Such predictions are consistent with previous optimization approaches in predicting life-history SP variability across environments and between populations, and in addition they also explain within-population variability by sympatric disruptive selection. Thus, our model can be used as a theoretical tool for understanding life-history variability across environments and, especially, within species in the same environment.
机译:了解影响生活史转换点(SP;例如孵化,变态和成熟)时间安排的因素是进化生态学中的一个基本问题。以前的研究从适应性优化的角度研究了这个问题,这使我们对为什么生命历史转变的时机可能随人群和环境而变化的理解有了进一步的了解。但是,在自然界中,我们也经常观察到人群中个体之间的差异。通常在给定环境的生理和环境约束下预测单个最佳SP的优化理论无法解释这种可变性。在这里,我们从自适应动力学(AD)的角度重新检查了青少年和成人阶段之间单个生命历史SP的演变,该研究明确考虑了人口动态与生命历史策略的演变之间的反馈。 AD模型虽然结构简单,但根据人口和环境条件表现出多种多样的进化场景,包括幼年期的丧失,单个最优SP,取决于初始表型的替代最优SP和两个同胞共存在破坏性选择下的SP表型。这样的预测与先前的优化方法在预测环境之间以及种群之间的生活史SP变异性方面是一致的,此外,它们还通过同胞干扰选择来解释种群内变异性。因此,我们的模型可以用作了解整个环境(尤其是同一环境中物种内部)生命历史变异性的理论工具。

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