Bifurcations of a Leslie-type model with herd behavior and predator harvesting

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-04-05 DOI:10.1016/j.chaos.2025.116327
Zhifei Guo, Haiying Yang
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Abstract

It was demonstrated that the herd behavior in prey, described by a square root functional response, induces a Hopf bifurcation in the Leslie-type predator–prey model. This paper is devoted to discussing bifurcations of the same model, but with constant-rate predator harvesting. We show that the system exhibits complicated bifurcations driven by the predator harvesting. More concretely, we first prove that the system has at most two equilibria, which consist of a saddle and either a focus or a node, respectively. Then we verify that the system undergoes the attracting and repelling Bogdanov–Takens bifurcations of codimension two. Additionally, we show that a degenerate Hopf bifurcation of codimension three can also occur at a weak focus. The theoretical findings, which are further illustrated by numerical simulations, reveal that the two populations can coexist periodically under constant-rate predator harvesting.
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具有群体行为和捕食者收获的leslie型模型的分岔
研究表明,由平方根功能响应描述的猎物群行为会导致莱斯利型捕食者-猎物模型出现霍普夫分岔。本文专门讨论同一模型的分岔,但采用恒定速率捕食者捕食。我们证明,在捕食者捕食的驱动下,系统会出现复杂的分岔。更具体地说,我们首先证明该系统最多有两个均衡点,分别由一个鞍点和一个焦点或一个节点组成。然后,我们验证了该系统经历了广度为 2 的吸引和排斥波格丹诺夫-塔肯斯分岔。此外,我们还证明了在弱焦点处也会发生标度为三的退化霍普夫分岔。通过数值模拟进一步说明的理论研究结果表明,在捕食者以恒定速率捕食的情况下,两个种群可以周期性地共存。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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