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EMERGENCE OF POPULATION GROWTH MODELS - FAST MIGRATION AND SLOW GROWTH

机译:人口增长模型的出现-快速迁移和缓慢增长

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We present aggregation and emergence methods in large-scale dynamical systems with different timescales. Aggregation corresponds to the reduction of the dimension of a dynamical system which is replaced by a smaller model for a small number of global variables at a slow timescale. We study the couplings between fast and slow dynamics leading to the emergence of global properties in the aggregated model. First, we study the case of a single population in a patchy environment. Growth rates are assumed to be linear on each patch. individuals can migrate from one patch to another at a fast timescale. We choose different density dependent migration processes. In each case, we use aggregation methods to obtain the corresponding growth equation for the total density of the population at a slow timescale. We look for particular density dependent migration processes leading to an aggregated logistic-like equation. Second, we study the case of two interacting populations. A particular choice of density dependent migrations leads to an aggregated competition model. (C) 1996 Academic Press Limited. [References: 22]
机译:我们提出了具有不同时间尺度的大型动力系统中的聚集和涌现方法。聚集对应于动态系统尺寸的减小,动态系统尺寸的减小由较小的模型代替,用于在缓慢的时间尺度上进行少量的全局变量。我们研究了快速和慢速动力学之间的耦合,从而导致了聚合模型中全局属性的出现。首先,我们研究在零散的环境中单个人口的情况。假定每个补丁的增长率都是线性的。个人可以快速地从一个补丁迁移到另一个补丁。我们选择不同的密度依赖性迁移过程。在每种情况下,我们都使用聚合方法在缓慢的时间尺度上获得相应的人口总密度增长方程。我们在寻找与密度相关的特定迁移过程,从而得出类似逻辑对数的方程。第二,我们研究两个相互作用的种群的情况。依赖于密度的迁移的特定选择会导致聚合竞争模型。 (C)1996 Academic Press Limited。 [参考:22]

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