具有霍林第二类功能响应的尼科尔森-贝利生物经济模型的动态复杂性

IF 1.9 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS International Journal of Bifurcation and Chaos Pub Date : 2024-05-10 DOI:10.1142/s0218127424500743
A. M. Yousef, Sophia R.-J. Jang, A. A. Elsadany
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引用次数: 0

摘要

在本文中,我们提出了一个具有霍林 II 型功能响应的寄主-寄生虫模型,并将收获努力纳入其中。霍林 II 型响应会导致寄生宿主饱和,从而创造潜在的经济收获机会。为了应对过度开发的风险,我们纳入了收获努力函数,以确定防止枯竭的最佳阈值。我们探讨了模型动力学和分岔,包括翻转和 Neimark-Sacker 分岔等共维度一行为,并提供了数值示例进行验证。与连续时间模型相比,我们建议的差分代数模型在尼科尔森-贝利寄主-寄生虫框架内表现出丰富的动态性。
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Dynamic Complexity of a Nicholson–Bailey Bioeconomic Model with Holling Type-II Functional Response

In this paper, we propose a host–parasitoid model with a Holling type-II functional response and incorporate harvest effort. The Holling type-II response leads to saturation in parasitized hosts, creating a potential economic harvesting opportunity. To address overexploitation risks, we integrate a harvest effort function, determining an optimal threshold to prevent depletion. We explore model dynamics and bifurcations, including co-dimension one behaviors such as flip and Neimark–Sacker bifurcations, we provide numerical examples for validation. Our suggested difference-algebraic model, compared to continuous-time models, exhibits rich dynamics within the Nicholson–Bailey host–parasitoid framework.

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来源期刊
International Journal of Bifurcation and Chaos
International Journal of Bifurcation and Chaos 数学-数学跨学科应用
CiteScore
4.10
自引率
13.60%
发文量
237
审稿时长
2-4 weeks
期刊介绍: The International Journal of Bifurcation and Chaos is widely regarded as a leading journal in the exciting fields of chaos theory and nonlinear science. Represented by an international editorial board comprising top researchers from a wide variety of disciplines, it is setting high standards in scientific and production quality. The journal has been reputedly acclaimed by the scientific community around the world, and has featured many important papers by leading researchers from various areas of applied sciences and engineering. The discipline of chaos theory has created a universal paradigm, a scientific parlance, and a mathematical tool for grappling with complex dynamical phenomena. In every field of applied sciences (astronomy, atmospheric sciences, biology, chemistry, economics, geophysics, life and medical sciences, physics, social sciences, ecology, etc.) and engineering (aerospace, chemical, electronic, civil, computer, information, mechanical, software, telecommunication, etc.), the local and global manifestations of chaos and bifurcation have burst forth in an unprecedented universality, linking scientists heretofore unfamiliar with one another''s fields, and offering an opportunity to reshape our grasp of reality.
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