Biodiversity-induced opposing shifts of tipping points in mutualistic ecological networks.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-05-01 DOI:10.1063/5.0260836
Fei Xu, Meng Jin, Chuansheng Shen, Hong Qi, Shoufang Huang, Maosheng Wang, Jiqian Zhang, Xiang Li
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引用次数: 0

Abstract

While biodiversity is recognized as crucial for ecosystem stability, the mechanisms governing its dual role in collapse and restoration dynamics remain unclear. By analyzing ten empirical plant-pollinator mutualistic networks, we uncover a biodiversity paradox: increased biodiversity lowers the collapse threshold while enhancing restoration potential. This counterintuitive phenomenon is quantitatively linked to a significant negative correlation between biodiversity levels and hysteresis loop width. To understand this paradox, we develop a refined degree-weighted mean-field framework, reducing high-dimensional dynamics to a tractable two-dimensional system. By integrating potential landscape theory from nonequilibrium statistical mechanics, we uncover the physical basis of biodiversity-driven threshold shifts. Systematic modulation of mutualistic interaction degrees across stochastic networks further confirms the universal regulatory role of reduced biodiversity in collapse-restoration tipping points. Our findings provide a quantitative framework for predicting ecosystem resilience and optimizing restoration strategies across biodiversity gradients.

生物多样性引发了共生生态网络中临界点的对立转移。
虽然生物多样性被认为对生态系统的稳定至关重要,但控制其在崩溃和恢复动态中的双重作用的机制尚不清楚。通过对10个植物-传粉者互动网络的实证分析,揭示了一个生物多样性悖论:生物多样性的增加降低了崩溃阈值,同时增强了恢复潜力。这种反直觉的现象在数量上与生物多样性水平和滞后环宽度之间的显著负相关有关。为了理解这个悖论,我们开发了一个精细的度加权平均场框架,将高维动态减少到一个可处理的二维系统。结合非平衡统计力学的潜在景观理论,揭示了生物多样性驱动阈值转移的物理基础。随机网络中相互作用程度的系统调节进一步证实了生物多样性减少在崩溃恢复临界点中的普遍调节作用。我们的研究结果为预测生态系统的恢复能力和优化生物多样性梯度的恢复策略提供了定量框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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