Impact of Cooperation and Intra-Specific Competition of Prey on the Stability of Prey–Predator Models with Refuge

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Soumyadip Pal, F. Al Basir, Santanu Ray
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引用次数: 0

Abstract

The main objective of this study is to find out the influences of cooperation and intra-specific competition in the prey population on escaping predation through refuge and the effect of the two intra-specific interactions on the dynamics of prey–predator systems. For this purpose, two mathematical models with Holling type II functional response functions were proposed and analyzed. The first model includes cooperation among prey populations, whereas the second one incorporates intra-specific competition. The existence conditions and stability of different equilibrium points for both models were analyzed to determine the qualitative behaviors of the systems. Refuge through intra-specific competition has a stabilizing role, whereas cooperation has a destabilizing role on the system dynamics. Periodic oscillations were observed in both systems through Hopf bifurcation. From the analytical and numerical findings, we conclude that intra-specific competition affects the prey population and continuously controls the refuge class under a critical value, and thus, it never becomes too large to cause predator extinction due to food scarcity. Conversely, cooperation leads the maximal number of individuals to escape predation through the refuge so that predators suffer from low predation success.
猎物的合作和种内竞争对带避难所的捕食者-捕食者模型稳定性的影响
本研究的主要目的是找出猎物种群的合作和种内竞争对躲避捕食者的影响,以及这两种种内相互作用对捕食者-猎物系统动力学的影响。为此,提出并分析了两个具有Holling II型函数响应函数的数学模型。第一种模式包含了猎物群体之间的合作,而第二种模式包含了种内竞争。分析了两种模型各平衡点的存在条件和稳定性,确定了系统的定性行为。通过种内竞争的避难具有稳定作用,而合作在系统动力学中具有不稳定作用。通过Hopf分岔观察到两个系统存在周期振荡。从分析结果和数值结果来看,种内竞争影响猎物种群,并在一定临界值下持续控制避难类,因此不会过大而导致捕食者因食物短缺而灭绝。相反,合作导致最大数量的个体通过避难所逃离捕食者,从而使捕食者遭受低捕食成功率。
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 & Computational Applications
Mathematical & Computational Applications MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
自引率
10.50%
发文量
86
审稿时长
12 weeks
期刊介绍: Mathematical and Computational Applications (MCA) is devoted to original research in the field of engineering, natural sciences or social sciences where mathematical and/or computational techniques are necessary for solving specific problems. The aim of the journal is to provide a medium by which a wide range of experience can be exchanged among researchers from diverse fields such as engineering (electrical, mechanical, civil, industrial, aeronautical, nuclear etc.), natural sciences (physics, mathematics, chemistry, biology etc.) or social sciences (administrative sciences, economics, political sciences etc.). The papers may be theoretical where mathematics is used in a nontrivial way or computational or combination of both. Each paper submitted will be reviewed and only papers of highest quality that contain original ideas and research will be published. Papers containing only experimental techniques and abstract mathematics without any sign of application are discouraged.
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