具有交叉扩散和收获功能的改良莱斯利-高尔模型的时空分析

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED Physica D: Nonlinear Phenomena Pub Date : 2024-09-20 DOI:10.1016/j.physd.2024.134381
Samir Biswas, Lakpa Thendup Bhutia, Tapan Kumar Kar, Bidhan Bhunia, Esita Das
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引用次数: 0

摘要

本文研究了一个改进的莱斯利-高尔(Leslie-Gower)猎物-捕食者反应-扩散模型,该模型引入了两个物种的捕食。我们研究了该模型的时空动态。我们找到了稳定区域并绘制了分岔图,以确定捕食对模型的影响,结果表明捕食具有稳定作用。在时间系统中出现了局部分岔,如跨临界分岔和霍普夫分岔。对于时空模型,图灵不稳定条件已经确定。以收获量作为分岔参数,通过多时间尺度分析得出了临界模式的振幅方程。此外,我们还通过绘制几种静止模式,包括条纹、斑点以及条纹和斑点混合模式,验证了理论结果。本研究的重要发现是,随着收割力度的增加,图案会逐渐变成斑点,也就是说,收割对图案的产生有很大的影响。这促进了一种动态平衡,使竞争者能够保持距离、优化资源利用和生存。
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Spatiotemporal analysis of a modified Leslie–Gower model with cross-diffusion and harvesting

This paper considers a modified Leslie–Gower prey–predator reaction–diffusion model introducing harvesting of both species. Both the temporal and spatiotemporal dynamics of the model have been examined. We have found the stability regions and drawn bifurcation diagrams to determine the harvesting effect on the model, revealing that the harvesting has a stabilizing effect. Local bifurcations, such as transcritical and Hopf bifurcations, appear in the temporal system. For the spatiotemporal model, Turing instability conditions have been determined. The amplitude equation for the critical modes has been derived using multiple time scale analyses by taking the harvesting effort as the bifurcating parameter. Also, we have verified the theoretical results by plotting several kinds of stationary patterns, including stripes, spots, and a mix of stripes and spots. This study’s critical observation is that as harvesting effort rises, the patterns steadily turn into spots, i.e., harvesting influences pattern creation strongly. This fosters a dynamic equilibrium, allowing competitors to maintain distance, optimize resource use and survive.

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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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