共存还是灭绝?多个蜥蜴物种在竞争、分散和种内捕食下的动态变化。

IF 2.2 4区 数学 Q2 BIOLOGY
Jiawei Deng, Hongying Shu, Sanyi Tang, Lin Wang, Xiang-Sheng Wang
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引用次数: 0

摘要

生物入侵会严重影响本地生态系统,通过捕食和竞争改变生态过程和群落行为。非本地物种的引入可能导致当地栖息地内的物种共存或灭绝。我们的研究建立了一个蜥蜴种群模型,该模型综合了竞争、种群内捕食和种群内猎物的扩散行为等方面。我们对该模型进行了分析,以确定各种生态平衡的存在性和稳定性,并发现在某些条件下存在双稳态的可能性。通过使用分散率作为分岔参数,我们揭示了与正平衡相关的复杂分岔动力学。此外,我们还进行了双参数分岔分析,以研究分散和野内捕食对生态结构的综合影响。我们的研究结果表明,群内捕食不仅影响褐鬣蜥的运动模式,而且在维持不同蜥蜴物种在不同栖息地共存的过程中起着至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coexistence or extinction: Dynamics of multiple lizard species with competition, dispersal and intraguild predation.

Biological invasions significantly impact native ecosystems, altering ecological processes and community behaviors through predation and competition. The introduction of non-native species can lead to either coexistence or extinction within local habitats. Our research develops a lizard population model that integrates aspects of competition, intraguild predation, and the dispersal behavior of intraguild prey. We analyze the model to determine the existence and stability of various ecological equilibria, uncovering the potential for bistability under certain conditions. By employing the dispersal rate as a bifurcation parameter, we reveal complex bifurcation dynamics associated with the positive equilibrium. Additionally, we conduct a two-parameter bifurcation analysis to investigate the combined impact of dispersal and intraguild predation on ecological structures. Our findings indicate that intraguild predation not only influences the movement patterns of brown anoles but also plays a crucial role in sustaining the coexistence of different lizard species in diverse habitats.

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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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