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Self-organized biodiversity in biotic resource systems through pairwise encounters

Author

Listed:
  • Kang, Ju
  • Zhang, Shijie
  • Niu, Yiyuan
  • Zhong, Fan
  • Wang, Xin

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.

Suggested Citation

  • Kang, Ju & Zhang, Shijie & Niu, Yiyuan & Zhong, Fan & Wang, Xin, 2024. "Self-organized biodiversity in biotic resource systems through pairwise encounters," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
    • Handle: RePEc:eee:chsofr:v:188:y:2024:i:c:s0960077924011597
    DOI: 10.1016/j.chaos.2024.115607
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