Dynamics of a mistletoe-bird model on a weighted network.

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-09-28 DOI:10.1007/s00285-024-02140-6
Jie Wang, Chuanhui Zhu, Jian Wang, Liang Zhang
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Abstract

Based on the patchy habitats of mistletoes and the mutualistic relationship between mistletoes and birds, we propose a mistletoe-bird model on a weighted network that is described by discrete Laplacian operators. Without considering mistletoes, the dynamics of a model of birds is investigated by a threshold parameter. Under the premise of the persistence of birds, the existence and uniqueness of solutions of a mistletoe-bird model are established, and the stability of solutions of the model is discussed by the ecological reproduction index R 0 m , specifically, mistletoes go extinct when R 0 m < 1 , and mistletoes coexist with birds when R 0 m > 1 . Moreover, we show that network weights can induce changes of instantaneous dynamics of birds or mistletoes by the matrix perturbation method. By assuming that the weighted network is a river network and a star network, we simulate the extinction of mistletoes and the coexistence of mistletoes with birds, respectively.

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加权网络上槲寄生鸟模型的动力学。
基于槲寄生栖息地的斑块性以及槲寄生与鸟类之间的互惠关系,我们提出了一个加权网络上的槲寄生-鸟类模型,该模型由离散拉普拉斯算子描述。在不考虑槲寄生的情况下,通过一个阈值参数来研究鸟类模型的动态。在鸟类持续存在的前提下,建立了槲寄生-鸟类模型解的存在性和唯一性,并通过生态繁殖指数 R 0 m 讨论了模型解的稳定性,具体来说,当 R 0 m 1 时,槲寄生灭绝;当 R 0 m > 1 时,槲寄生与鸟类共存。此外,我们还通过矩阵扰动法证明了网络权重可以引起鸟类或槲寄生的瞬时动态变化。通过假设加权网络为河网和星网,我们分别模拟了槲寄生的灭绝和槲寄生与鸟类的共存。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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