Effect of fear and non-linear predator harvesting on a predator–prey system in presence of environmental variability

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-08-22 DOI:10.1016/j.matcom.2024.08.021
Biswajit Paul , Gopal Chandra Sikdar , Uttam Ghosh
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Abstract

In this paper, we have proposed and analyzed a predator–prey system introducing the cost of predation fear into the prey reproduction with Holling type-II functional response in the stochastic environment with the consideration of non-linear harvesting on predators. The system experiences Transcritical, Saddle–node, Hopf, and Bogdanov-Taken (BT) bifurcation with respect to the intrinsic growth rate and competition rate of the prey populations. We have discussed the existence and uniqueness of positive global solution of the stochastic model with the help of Ito’s integral formula and the long-term behavior of the solution is derived here. The existence of stationary distribution and explicit form of the density function is established here when only prey populations survive or both populations. We have shown that due to high fluctuation, the regime changes from one stable state to another state when bistability occurs in the system. The paper ends with some conclusions.

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在环境多变的情况下,恐惧和非线性捕食对捕食者-猎物系统的影响
在本文中,我们提出并分析了一个捕食者-猎物系统,该系统在随机环境下的猎物繁殖中引入了捕食恐惧成本,并具有霍林 II 型功能响应,同时考虑了捕食者的非线性收获。就猎物种群的内在增长率和竞争率而言,该系统经历了临界分岔、鞍节点分岔、霍普夫分岔和波格丹诺夫-塔肯(BT)分岔。我们在伊藤积分公式的帮助下讨论了随机模型正全局解的存在性和唯一性,并在此推导了解的长期行为。当只有猎物种群存活或两个种群都存活时,这里确定了静态分布的存在和密度函数的明确形式。我们已经证明,当系统出现双稳态时,由于高波动,系统会从一种稳定状态变为另一种状态。本文最后得出了一些结论。
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
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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