Self-organized biodiversity in biotic resource systems through pairwise encounters

Ju Kang, Shijie Zhang, Yiyuan Niu, Fan Zhong and Xin Wang

Chaos, Solitons & Fractals, 2024, vol. 188, issue C

Abstract: A central issue in ecology is understanding what determines biodiversity in nature, particularly in biotic resource systems that typically lack cross-feeding. In this study, we demonstrate that by incorporating pairwise encounters among individuals of the same consumer species, a diverse array of consumer species can self-organize to coexist in a well-mixed system with one or a few biotic resource species. The coexistence modes may manifest as either stable steady states or self-organized oscillations. Notably, all coexistence states are robust to stochasticity, as confirmed by both stochastic simulation algorithms and individual-based modeling. Our model quantitatively illustrates species distribution patterns in various ecological communities and can be broadly used to explain biodiversity in many biotic resource systems.

Keywords: Biodiversity; Competitive exclusion principle; Predator interference; Stochastic simulation; Individual-based modeling (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:188:y:2024:i:c:s0960077924011597

DOI: 10.1016/j.chaos.2024.115607

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