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Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences ( IF 3.5 ) Pub Date : 2020-09-01 , DOI: 10.1098/rspa.2020.0350
Nabil T Fadai 1 , Stuart T Johnston 2, 3 , Matthew J Simpson 4
Affiliation  

We present a solid theoretical foundation for interpreting the origin of Allee effects by providing the missing link in understanding how local individual-based mechanisms translate to global population dynamics. Allee effects were originally proposed to describe population dynamics that cannot be explained by exponential and logistic growth models. However, standard methods often calibrate Allee effect models to match observed global population dynamics without providing any mechanistic insight. By introducing a stochastic individual-based model, with proliferation, death and motility rates that depend on local density, we present a modelling framework that translates particular global Allee effects to specific individual-based mechanisms. Using data from ecology and cell biology, we unpack individual-level mechanisms implicit in an Allee effect model and provide simulation tools for others to repeat this analysis.

中文翻译:

解开 Allee 效应:确定推动全球人口动态的个体层面机制

我们通过提供理解本地基于个体的机制如何转化为全球人口动态的缺失环节,为解释 Allee 效应的起源提供了坚实的理论基础。Allee 效应最初被提议用来描述无法用指数和逻辑增长模型解释的人口动态。然而,标准方法通常校准 Allee 效应模型以匹配观察到的全球人口动态,而不提供任何机械洞察力。通过引入基于个体的随机模型,增殖率、死亡率和运动率取决于局部密度,我们提出了一个建模框架,将特定的全局 Allee 效应转化为特定的基于个体的机制。利用生态学和细胞生物学的数据,
更新日期:2020-09-01
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