在巴兹金的猎物-食肉动物模型中,适应性猎物避难所能否促进物种共存?

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-10-18 DOI:10.1016/j.matcom.2024.10.020
Santana Mondal, Subhas Khajanchi
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引用次数: 0

摘要

本文研究了具有恒定和自适应猎物避难所的巴兹金猎物-捕食者系统。我们研究了具有指数增长率的巴兹金资源消费者系统,并通过采用恒定猎物避难所证明了避难所确实能促进物种共存。恒定猎物避难所的加入扩大了内部平衡的稳定区域。此外,参照猎物避难所(ur)的分岔图显示了 ur 如何影响系统行为,使其从不稳定性到周期稳定性,再到平衡稳定性。接下来,我们提供了一个具有自适应猎物避难所的巴兹金模型,并开发了以避难所为策略的猎物种群适应度函数,为了获得猎物对环境的最优响应,我们确定了进化稳定策略(ESS)。我们的模型由不止一个ESS组成,因此我们采用了猎物策略的最佳响应动态。我们的分析表明,猎物种群使用的适应性避难所促进了猎物与捕食者的动态共存。我们的理论分析得到了大量数值模拟的支持。数值分析中包含了两个最关键参数的分岔图,即δ2(捕食者之间的种内竞争率)和τ(种群适应环境的速率)。研究发现,物种在极限周期或平衡状态下的同栖取决于策略动态的速度和捕食者物种之间的竞争。
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Can adaptive prey refuge facilitate species coexistence in Bazykin’s prey–predator model?
Bazykin’s prey–predator system with constant and adaptive prey refuge is investigated in this paper. We examine Bazykin’s resource consumer system with exponential growth rate and by employing constant prey refuge we demonstrate that refuge does promote species coexistence. The incorporation of constant prey refuge expands the stability zone for the interior equilibrium. Furthermore, the bifurcation diagram with reference to prey refuge (ur) shows how ur influences the system’s behavior from unstable to periodic stability and then to equilibrium stability. Next, we provide a Bazykin’s model with adaptive prey refuge and develop a fitness function for the prey population using refuge as a strategy and in order to obtain the prey’s optimal response to the environment we determine evolutionary stable strategies (ESS). Our model consists of more than one ESS, thus we employ the best response dynamics for the prey strategy. Our analysis showcases that adaptive refuge used by the prey population promotes the coexistence of prey–predator dynamics. Our theoretical analysis is supported by extensive numerical simulations. Bifurcation diagrams with reference to the two most crucial parameters, namely, δ2 (intra-species competition rate among predators) and τ (the rate at which populations adapt to their environment), are included in the numerical analysis. Species cohabitation along a limit cycle or at an equilibrium is discovered to be dependent on the pace of strategy dynamics and the competition amongst predator species.
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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