中国物理B(英文版)2024,Vol.33Issue(5) :173-181.DOI:10.1088/1674-1056/ad3341

Prediction of collapse process and tipping points for mutualistic and competitive networks with k-core method

段东立 毕菲菲 李思凡 吴成星 吕长春 蔡志强
中国物理B(英文版)2024,Vol.33Issue(5) :173-181.DOI:10.1088/1674-1056/ad3341

Prediction of collapse process and tipping points for mutualistic and competitive networks with k-core method

段东立 1毕菲菲 1李思凡 1吴成星 1吕长春 1蔡志强2
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作者信息

  • 1. School of Information and Control Engineering,Xi'an University of Architecture and Technology,Xi'an 710311,China
  • 2. School of Mechanical Engineering,Northwestern Polytechnical University,Xi'an 710072,China
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Abstract

Ecosystems generally have the self-adapting ability to resist various external pressures or disturbances,which is always called resilience.However,once the external disturbances exceed the tipping points of the system resilience,the consequences would be catastrophic,and eventually lead the ecosystem to complete collapse.We capture the collapse process of ecosystems represented by plant-pollinator networks with the k-core nested structural method,and find that a sufficiently weak interaction strength or a sufficiently large competition weight can cause the structure of the ecosystem to collapse from its smallest k-core towards its largest k-core.Then we give the tipping points of structure and dynamic collapse of the entire system from the one-dimensional dynamic function of the ecosystem.Our work provides an intuitive and precise description of the dynamic process of ecosystem collapse under multiple interactions,and provides theoretical insights into further avoiding the occurrence of ecosystem collapse.

Key words

complex networks/tipping points/dimension reduction/k-core

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基金项目

国家自然科学基金(72071153)

国家自然科学基金(72231008)

陕西省自然科学基金(2020JM-486)

Fund of the Key Laboratory of Equipment Integrated Support Technology(6142003190102)

出版年

2024
中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子:0.995
ISSN:1674-1056
参考文献量46
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