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首页> 外文期刊>Journal of Theoretical Biology >Reduction of slow-fast discrete models coupling migration and demography.
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Reduction of slow-fast discrete models coupling migration and demography.

机译:减少耦合迁移和人口统计学的慢速离散模型。

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摘要

This work deals with a general class of two-time scales discrete nonlinear dynamical systems which are susceptible of being studied by means of a reduced system that is obtained using the so-called aggregation of variables method. This reduction process is applied to several models of population dynamics driven by demographic and migratory processes which take place at two different time scales: slow and fast. An analysis of these models exchanging the role of the slow and fast dynamics is provided: when a Leslie type demography is faster than migrations, a multi-attractor scenario appears for the reduced dynamics; on the other hand, when the migratory process is faster than demography, the reduction process gives rise to new interpretations of well known discrete models, including some Allee effect scenarios.
机译:这项工作涉及两类尺度的离散非线性动力系统的一般类别,该系统很容易通过使用所谓的变量汇总法获得的简化系统进行研究。这种减少过程适用于人口和移民过程驱动的几种人口动态模型,这些模型发生在两个不同的时间尺度上:缓​​慢和快速。提供了对这些模型的分析,这些模型交换了慢速动力学和快速动力学的作用:当莱斯利型人口统计学的速度快于迁移时,出现了多吸引人的情况,从而降低了动力学;另一方面,当迁移过程比人口统计方法快时,归约过程会引起对已知离散模型(包括某些Allee效应场景)的新解释。

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