A Study of Stability and Bifurcation in a Discretized Predator–Prey Model With Holling Type III Response and Prey Refuge Via Piecewise Constant Argument Method

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2025-05-12 DOI:10.1155/cplx/4542190
Faisal Alsharif, Rizwan Ahmed, Ibrahim Alraddadi, Mohammed Alsubhi, Muhammad Amer, Md. Jasim Uddin
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引用次数: 0

Abstract

This study explores the dynamics of a discrete-time predator–prey system, incorporating a Holling type III functional response and prey refuge, through the piecewise constant argument method. This method keeps things consistent and prevents negative population values, which is often a drawback of older techniques. We take a closer look at fixed points, exploring their existence and stability. We identify the conditions that lead to period-doubling and Neimark–Sacker bifurcations, and we back up our findings with numerical simulations. Our findings emphasize how important the predation coefficient is for keeping ecological balance and show that, in this model setup, the refuge for prey has a minimal effect on the stability of the system. These insights help us better understand the relationships between predators and their prey, providing valuable guidance for conserving biodiversity and managing ecosystems.

Abstract Image

用分段常参数法研究具有Holling III型响应和猎物避难所的离散捕食者-食饵模型的稳定性和分岔性
本研究通过分段常数参数方法探讨了一个包含Holling III型功能响应和猎物避难所的离散时间捕食者-猎物系统的动力学。这种方法使事情保持一致,并防止负的人口值,这通常是旧技术的缺点。我们仔细观察固定点,探索它们的存在性和稳定性。我们确定了导致周期加倍和内马克-萨克分岔的条件,并用数值模拟来支持我们的发现。我们的研究结果强调了捕食系数对保持生态平衡的重要性,并表明,在这个模型设置中,猎物的避难所对系统稳定性的影响很小。这些见解有助于我们更好地理解捕食者和猎物之间的关系,为保护生物多样性和管理生态系统提供有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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