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A Network of Dynamic Keystone Species

机译:动态梯形物种网络

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摘要

A concept of dynamic keystone species is proposed based on simulation studies of replicator equations. We report that the variables of this equation can be categorized into three groups based on their individual dynamic behaviour. They are dominant, neutral and recessive phe-notypes. Because the growth rates are small in average, they are termed neutral phenotypes. Especially with a chaotic attractor, neutral phenotypes work as keystone species to control the stability of the system. The removal of neutral phenotypes may be a subtle perturbation, but it can have a large effect compared with its relative abundance, as it triggers an attractor switch. We also report that these neutral phenotypes form a "network that can provide combinatorial effects on the attractor switch. A mere topological structure of the interacting matrix is not sufficient for determining which may be a keystone species; instead, it is determined by the kind of the attractors they organize.
机译:基于复制子方程的仿真研究,提出了动态梯形失真的概念。我们报告该方程的变量可以根据其各自的动态行为分为三类。它们是显性,中性和隐性表型。因为平均增长率很小,所以它们被称为中性表型。特别是对于混沌吸引子,中性表型是控制系统稳定性的关键物种。中性表型的去除可能是微妙的扰动,但是与它的相对丰度相比,它具有很大的作用,因为它触发了吸引子开关。我们还报告说,这些中性表型形成一个“网络,可以对吸引子开关提供组合效应。仅相互作用基质的拓扑结构不足以确定哪个可能是关键物种;相反,它是由他们组织的吸引子。

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