Delayed Parasitism and Population Cycles in Mosquito–Water Mite Systems

IF 1.6 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2026-10-02 DOI:10.1155/cplx/9474425
Dipesh, Pankaj Kumar, Zabihullah Movaheedi, Sandeep Malik
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引用次数: 0

Abstract

This study uses a delay differential equation (DDE) model that takes into account both parasitism and predation effects to examine the dynamic interactions between water mites and mosquito populations. The proposed DDE model uniquely captures the dual ecological role of water mites as both parasites and predators of mosquitoes through biologically motivated nonlinear interactions. To account for parasitism’s biological lag and its effect on water mite reproduction, the model adds a time delay. In order to ensure biologically meaningful solutions, mathematical analysis verifies the system’s positivity and boundedness. The model performs stability analysis at a variety of delay conditions and locates a biologically viable equilibrium point. At a critical point of delay, a Hopf bifurcation occurs and marks the beginning of long-term oscillations of the population dynamics. Numerical simulations are used to create time-domain plots and phase space diagrams that demonstrate how the system responds without a delay, below the delay threshold, at the critical point and exceeding it. Under the findings, a small delay results in the creation of the asymptotic stability, and a large delay results in the creation of the periodic solutions as well as population cycles. The analysis of the significance of time delays in the establishment of ecological balance between the parasite and host species is brought into the limelight of the study. It further emphasizes that the study establishes the existence and uniqueness of the biologically feasible equilibrium, investigates delay-induced stability switching and Hopf bifurcation, and examines the influence of developmental delay on the long-term population dynamics. The modeling approach also serves as a natural foundation of future ecological studies that incorporate time-dependent interactions by providing an understanding of biological control measures and population management in aquatic ecosystems.

蚊-水螨系统的延迟寄生和种群周期
本研究采用考虑寄生和捕食效应的延迟微分方程(DDE)模型来研究水螨与蚊子种群之间的动态相互作用。提出的DDE模型通过生物动机的非线性相互作用,独特地捕捉了水螨作为蚊子的寄生虫和捕食者的双重生态作用。为了解释寄生的生物滞后及其对水螨繁殖的影响,该模型增加了一个时间延迟。为了保证解具有生物意义,通过数学分析验证了系统的正性和有界性。该模型在各种延迟条件下进行了稳定性分析,并找到了一个生物可行的平衡点。在延迟的临界点处,Hopf分岔发生,标志着种群动态长期振荡的开始。数值模拟用于创建时域图和相空间图,以演示系统如何无延迟响应,低于延迟阈值,在临界点和超过它。在研究结果下,小的延迟导致渐近稳定性的产生,大的延迟导致周期解和种群周期的产生。分析时间延迟在寄生虫和宿主物种之间建立生态平衡中的意义成为研究的焦点。进一步强调了该研究建立了生物可行平衡的存在性和唯一性,研究了延迟诱导的稳定性切换和Hopf分岔,并研究了发育延迟对种群长期动态的影响。建模方法还可以作为未来生态研究的自然基础,通过提供对水生生态系统中生物控制措施和种群管理的理解,将时间依赖性相互作用纳入其中。
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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