Overcompensation of transient and permanent death rate increases in age-structured models with cannibalistic interactions

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2024-08-29 DOI:10.1016/j.physd.2024.134339
Mingtao Xia , Xiangting Li , Tom Chou
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Abstract

There has been renewed interest in understanding the mathematical structure of ecological population models that lead to overcompensation, the process by which a population recovers to a higher level after suffering a permanent increase in predation or harvesting. Here, we apply a recently formulated kinetic population theory to formally construct an age-structured single-species population model that includes a cannibalistic interaction in which older individuals prey on younger ones. Depending on the age-dependent structure of this interaction, our model can exhibit transient or steady-state overcompensation of an increased death rate as well as oscillations of the total population, both phenomena that have been observed in ecological systems. Analytic and numerical analysis of our model reveals sufficient conditions for overcompensation and oscillations. We also show how our structured population partial integrodifferential equation (PIDE) model can be reduced to coupled ODE models representing piecewise constant parameter domains, providing additional mathematical insight into the emergence of overcompensation.

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在具有食人交互作用的年龄结构模型中,对瞬时和永久死亡率增加的过度补偿
人们重新开始关注如何理解生态种群模型的数学结构,这种模型会导致过度补偿,即种群在遭受永久性捕食或收获增加后恢复到较高水平的过程。在这里,我们运用最近提出的动力学种群理论,正式构建了一个年龄结构的单物种种群模型,其中包括一种食人互动,即年长个体捕食年轻个体。根据这种相互作用的年龄结构,我们的模型可以表现出对死亡率增加的瞬态或稳态过度补偿,以及总种群的振荡,这两种现象都在生态系统中观察到过。对我们模型的分析和数值分析揭示了过度补偿和振荡的充分条件。我们还展示了如何将我们的结构化种群偏微分方程(PIDE)模型简化为代表片断常数参数域的耦合 ODE 模型,从而为过度补偿的出现提供了更多数学启示。
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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