放牧捕食-猎物系统的动态模式:惯性延迟和收获的影响分析。

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2024-12-01 DOI:10.1063/5.0239612
Santanu Bhattacharya, Santu Ghorai, Nandadulal Bairagi
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引用次数: 0

摘要

本研究扩展了传统的反应扩散模型,结合双曲动力学来探讨惯性延迟对模式形成的影响。动力学系统考虑了一个收获的捕食者-猎物模型,其中捕食者和猎物群体聚集在一起。随后介绍了扩散效应和惯性效应。理论框架建立了稳定性的条件,揭示了惯性延迟显著改变扩散诱导的不稳定性和Hopf分岔。惯性效应通过波动不稳定性缩小了动力系统的稳定区域,而波动不稳定性在没有惯性的双变量时空系统中是不可能出现的。计算模拟表明,图灵和波的不稳定性导致了不同的空间和时空模式。本研究强调,初始条件影响波浪的不稳定性,根据不同的初始值产生不同的模式,而其他不稳定性不受影响。此外,图灵区域内还可以观察到热点、冷点和条纹等图案。研究还考察了采收对时空系统稳定性的影响,表明采收力度的增加可以使系统在不稳定状态和均匀状态之间转换。这些发现为生态建模提供了实际意义,为惯性延迟和收获实践如何影响自然种群的模式形成提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic patterns in herding predator-prey system: Analyzing the impact of inertial delays and harvesting.

This study expands traditional reaction-diffusion models by incorporating hyperbolic dynamics to explore the effects of inertial delays on pattern formation. The kinetic system considers a harvested predator-prey model where predator and prey populations gather in herds. Diffusion and inertial effects are subsequently introduced. Theoretical frameworks establish conditions for stability, revealing that inertial delay notably alters diffusion-induced instabilities and Hopf bifurcations. The inclusion of inertial effects narrows the stability region of the kinetic system by wave instability, which cannot arise in a two-variable spatiotemporal system without inertia. Computational simulations demonstrate that Turing and wave instabilities lead to diverse spatial and spatiotemporal patterns. This study highlights that initial conditions influence wave instability, generating distinct patterns based on different initial values, while other instabilities remain unaffected. Additionally, patterns, such as hot spots, cold spots, and stripes, are observed within the Turing region. The impact of harvesting on spatiotemporal system stability is also examined, showing that increased harvesting efforts can shift systems between unstable and uniform states. The findings provide practical implications for ecological modeling, offering insights into how inertial delays and harvesting practices affect pattern formation in natural populations.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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