动力学(音乐)
竞赛(生物学)
Volterra方程
竞争模式
数学
计量经济学
统计物理学
生态学
应用数学
经济
生物系统
数理经济学
心理学
生物
物理
微观经济学
非线性系统
利润(经济学)
教育学
量子力学
作者
Guangwen He,Fengde Chen,Li Zhong,Lijuan Chen
标识
DOI:10.1142/s1793524525500378
摘要
Fear effects, as non-consumptive interactions in ecological systems, have emerged as a critical factor influencing species coexistence and population dynamics. Understanding the impact of fear effects on competing ecosystems helps humans better protect species and maintain ecological balance. In this paper, we propose and study a special Lotka–Volterra competition system, where one competitor experiences a reduction in birth rates and an increase in mortality rates due to fear of its competitor, and the effect of fear has saturated cost parameters [Formula: see text] and [Formula: see text]. The results show that using [Formula: see text] and [Formula: see text] as bifurcation parameters can induce transcritical and saddle-node bifurcations in the system. Furthermore, we find that the introduced saturated fear cost parameters [Formula: see text] and [Formula: see text] have interesting effects on the dynamical behavior of the Lotka–Volterra system. When the saturated fear cost parameters [Formula: see text] and [Formula: see text] satisfy certain conditions, the fear parameter [Formula: see text] does not affect the global stability of equilibria. Even under extreme fear, the two species are still able to coexist stably, which aligns with certain ecological phenomena. All theoretical results are verified through numerical simulations.
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