The persistence of bipartite ecological communities with Lotka-Volterra dynamics.

IF 2.2 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-07-02 DOI:10.1007/s00285-024-02120-w
Matt Dopson, Clive Emary
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Abstract

The assembly and persistence of ecological communities can be understood as the result of the interaction and migration of species. Here we study a single community subject to migration from a species pool in which inter-specific interactions are organised according to a bipartite network. Considering the dynamics of species abundances to be governed by generalised Lotka-Volterra equations, we extend work on unipartite networks to we derive exact results for the phase diagram of this model. Focusing on antagonistic interactions, we describe factors that influence the persistence of the two guilds, locate transitions to multiple-attractor and unbounded phases, as well as identifying a region of parameter space in which consumers are essentially absent in the local community.

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具有 Lotka-Volterra 动力学的两方生态群落的持久性。
生态群落的形成和持续可以理解为物种相互作用和迁移的结果。在这里,我们研究的是一个从物种池迁徙而来的单一群落,在这个群落中,物种间的相互作用是按照双向网络组织的。考虑到物种丰度的动态受广义洛特卡-伏特拉方程(Lotka-Volterra equations)的支配,我们将单方网络的研究成果扩展到这一模型的相图上,并得出了精确的结果。我们以拮抗相互作用为重点,描述了影响两个行会持续存在的因素,确定了向多吸引子和无限制阶段的过渡,并确定了一个参数空间区域,在该区域中,当地群落中基本上不存在消费者。
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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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