Population dynamics with spatial structure and an Allee effect

被引:17
|
作者
Surendran, Anudeep [1 ]
Plank, Michael J. [2 ,3 ]
Simpson, Matthew J. [1 ]
机构
[1] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld, Australia
[2] Univ Canterbury, Sch Math & Stat, Christchurch, New Zealand
[3] Te Punaha Matatini, Auckland, New Zealand
基金
澳大利亚研究理事会;
关键词
individual-based model; spatial moments; mean-field; competition; population extinction; SPREAD; FRAMEWORK; GROWTH; SYSTEM;
D O I
10.1098/rspa.2020.0501
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Population dynamics including a strong Allee effect describe the situation where long-term population survival or extinction depends on the initial population density. A simple mathematical model of an Allee effect is one where initial densities below the threshold lead to extinction, whereas initial densities above the threshold lead to survival. Mean-field models of population dynamics neglect spatial structure that can arise through short-range interactions, such as competition and dispersal. The influence of non-mean-field effects has not been studied in the presence of an Allee effect. To address this, we develop an individual-based model that incorporates both short-range interactions and an Allee effect. To explore the role of spatial structure we derive a mathematically tractable continuum approximation of the IBM in terms of the dynamics of spatial moments. In the limit of long-range interactions where the mean-field approximation holds, our modelling framework recovers the mean-field Allee threshold. We show that the Allee threshold is sensitive to spatial structure neglected by mean-field models. For example, there are cases where the mean-field model predicts extinction but the population actually survives. Through simulations we show that our new spatial moment dynamics model accurately captures the modified Allee threshold in the presence of spatial structure.
引用
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页数:19
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