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Robust permanence for ecological equations with internal and external feedbacks

机译:生态方程具有内部和外部反馈的强大永久性

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摘要

Species experience both internal feedbacks with endogenous factors such as trait evolution and external feedbacks with exogenous factors such as weather. These feedbacks can play an important role in determining whether populations persist or communities of species coexist. To provide a general mathematical framework for studying these effects, we develop a theorem for coexistence for ecological models accounting for internal and external feedbacks. Specifically, we use average Lyapunov functions and Morse decompositions to develop sufficient and necessary conditions for robust permanence, a form of coexistence robust to large perturbations of the population densities and small structural perturbations of the models. We illustrate how our results can be applied to verify permanence in non-autonomous models, structured population models, including those with frequency-dependent feedbacks, and models of eco-evolutionary dynamics. In these applications, we discuss how our results relate to previous results for models with particular types of feedbacks.
机译:物种经历内部反馈,内部反馈与内源性因素,如具有外源因素的特质演化和外部反馈,如天气。这些反馈可以在确定人群是否持续或社区共存时发挥重要作用。为了为研究这些效果提供一般的数学框架,我们为生态模型的共存定理开发了内部和外部反馈的生态模型。具体而言,我们使用平均Lyapunov函数和莫尔斯分解,为鲁棒持久性发育足够和必要的条件,一种共存与群体密度的大型扰动和模型的小结构扰动的形式。我们说明了我们的结果如何应用于验证非自治模型的持久性,结构化人口模型,包括具有频率相关反馈的人和生态进化动态的模型。在这些应用程序中,我们讨论我们的结果如何与具有特定类型的反馈类型的模型相关的结果。

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