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A discrete-time model for population persistence in habitats with time-varying sizes

机译:时变大小的栖息地人口持久性的离散时间模型

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In this paper, we use periodic and stochastic integrodifference models to study the persistence of a single-species population in a habitat with temporally varying sizes. We extend a persistence metric for integral operators on bounded domains to that of integral operators on unbounded domains. Using this metric in the periodic model, we present new perspectives of the critical habitat size problem in the case of dynamically changing habitat sizes. Specifically, we extend the concept of critical habitat size to that of lower minimal limit size in a period-2 scenario, and prove the existence of the lower minimal limit size. For the stochastic model, we point out the importance of considering multiple time scales in the temporal variability of the habitat size. The models are relevant to biological scenarios such as seasonal variability of wetland habitat sizes under precipitation variability.
机译:在本文中,我们使用周期性和随机积分差分模型来研究单个物种种群在具有时间变化大小的栖息地中的持续性。我们将有界域上积分算子的持久性度量推广到无界域上积分算子的持久性度量。在周期模型中使用这个度量,我们提出了在栖息地大小动态变化的情况下关键栖息地大小问题的新观点。具体来说,我们将临界栖息地大小的概念推广到周期2情景下的最小下限大小的概念,并证明了最小下限大小的存在性。对于随机模型,我们指出在栖息地大小的时间变化中考虑多个时间尺度的重要性。这些模型与生物情景相关,例如降水变化下湿地栖息地大小的季节变化。

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