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作 者:段东立 毕菲菲 李思凡 吴成星 吕长春 蔡志强 Dongli Duan;Feifei Bi;Sifan Li;Chengxing Wu;Changchun Lv;Zhiqiang Cai(School of Information and Control Engineering,Xi'an University of Architecture and Technology,Xi'an 710311,China;School of Mechanical Engineering,Northwestern Polytechnical University,Xi'an 710072,China)
机构地区:[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
出 处:《Chinese Physics B》2024年第5期173-180,共8页中国物理B(英文版)
基 金:Project supported by the National Natural Science Foundation of China(Grant Nos.72071153 and 72231008);the Natural Science Foundation of Shaanxi Province(Grant No.2020JM-486);the Fund of the Key Laboratory of Equipment Integrated Support Technology(Grant No.6142003190102)。
摘 要: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.
关 键 词:complex networks tipping points dimension reduction k-core
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