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A framework for quantifying state transitions in complex ecosystems using energy flow networks

利用能量流网络模型量化复杂生态系统状态转变
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摘要 The escalating ecological consequences of state transitions have attracted significant attention in both theoretical and experimental studies,with a focus on determining the stable or equilibrium points of dynamic systems[1-5].Identifying equilibrium states not only reveals a system's current status but also offers insights into its evolutionary trajectory under specific environmental conditions[6].
作者 Yanbin Hao Xin Wang Tong Zhao Kai Xue Jianqing Du Xiaoyong Cui Yanfen Wang 郝彦宾;王欣;赵彤;薛凯;杜建卿;崔晓勇;王艳芬
出处 《Science Bulletin》 2025年第17期2758-2760,共3页 科学通报(英文版)
基金 supported by the funds from the National Natural Science Foundation of China(42041005 and 32101313) the CAS Strategic Priority Research Programme(A)(XDA20050103) Science&Technology Fundamental Resources Investigation Program(2022FY100100)。
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