Dynamical system of quokka population depicting Fennecaphobia by Vulpes vulpes.

IF 2.6 4区 工程技术 Q1 Mathematics
Sangeeta Kumari, Sidharth Menon, Abhirami K
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引用次数: 0

Abstract

A spatio-temporal prey-predator (quokka and red fox interaction) model with the fear effect, Holling type Ⅱ functional response, and a generalist predator is proposed. The existence of equilibrium points and their corresponding stability are analyzed under certain conditions to explore the system's dynamics. The occurrence of a Hopf bifurcation, a saddle-node bifurcation, and a Bogdanov-Takens bifurcation are confirmed. The partial rank correlation coefficient method is performed for the sensitivity analysis. Furthermore, the cross-diffusion is incorporated in the formulated model system to identify the spatio-temporal dynamics of the system. All theoretical results are validated through a numerical simulation. The outcome of the temporal model shows a decrease in the fear effect due to the predation by the red fox helps to increase the quokka population. The spatio-temporal model indicates that as the diffusion coefficient and fear parameters vary, the pattern changes from isolated spots to stripes, and again from stripes to spots. This represents the variation in spatial interactions and aggregation. The dispersion of predators and prey increases with an increased diffusion; however, the group formation is restricted by a stronger fear effect that scatters prey.

矮尾矮袋鼠种群的动态系统描述了矮尾矮袋鼠的恐狐症。
提出了一个具有恐惧效应、Holling型Ⅱ功能反应和通才捕食者的时空-捕食者(短尾矮袋鼠和红狐相互作用)模型。在一定条件下,分析了平衡点的存在性及其稳定性,探讨了系统的动力学特性。证实了Hopf分岔、鞍节点分岔和Bogdanov-Takens分岔的存在。采用偏秩相关系数法进行敏感性分析。此外,将交叉扩散纳入模型系统,以识别系统的时空动态。通过数值模拟验证了所有理论结果。时间模型的结果表明,由于红狐的捕食,恐惧效应的减少有助于增加短尾矮袋鼠的数量。时空模型表明,随着扩散系数和恐惧参数的变化,该模式由孤立斑点变为条纹,再由条纹变为斑点。这代表了空间相互作用和聚集的变化。捕食者和猎物的分散随着扩散的增加而增加;然而,群体的形成受到一种更强的恐惧效应的限制,这种效应会分散猎物。
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
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
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