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Self-organized biodiversity and species abundance distribution patterns in ecosystems with higher-order interactions

Author

Listed:
  • Kang, Ju
  • Niu, Yiyuan
  • Li, Yuanzhi
  • Chu, Chengjin

Abstract

Understanding the vast biodiversity observed in nature remains a fundamental issue in ecology. While classical theories have long assumed that species interact in simple pairs, real ecosystems are shaped by more complex, higher-order interactions (HOIs) involving multiple species simultaneously. Here, we show that incorporating these HOIs into ecological models not only prevents ecosystem collapse but actively stabilizes communities and maintains self-organized biodiversity. Our approach reveals how such interactions give rise to self-sustaining oscillations, quasi-periodic dynamics, and intermittent chaos, mirroring the rich variability seen in natural systems. Crucially, the model successfully reproduces real-world species abundance patterns, providing a quantitative explanation for how complex interactions maintain ecological diversity. These findings establish HOIs as a key mechanism organizing biodiversity and offer a transformative perspective for understanding ecosystem complexity.

Suggested Citation

  • Kang, Ju & Niu, Yiyuan & Li, Yuanzhi & Chu, Chengjin, 2026. "Self-organized biodiversity and species abundance distribution patterns in ecosystems with higher-order interactions," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
  • Handle: RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925014559
    DOI: 10.1016/j.chaos.2025.117442
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    References listed on IDEAS

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    1. Tao, Wei & Kang, Ju & Yang, Wenxiu & Niu, Yiyuan & Wang, Xin, 2026. "Interspecific information use facilitates species coexistence in ecosystems," Chaos, Solitons & Fractals, Elsevier, vol. 204(C).

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