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Extinction Chains Reveal Intermediate Phases Between the Safety and Collapse in Mutualistic Ecosystems
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作者 Guangwei Wang Xueming Liu +5 位作者 Ying Xiao Ye Yuan linqiang pan Xiaohong Guan Jianxi Gao Hai-Tao Zhang 《Engineering》 CSCD 2024年第12期89-98,共10页
Ecosystems are undergoing unprecedented persistent deterioration due to unsustainable anthropogenic human activities,such as overfishing and deforestation,and the effects of such damage on ecological stability are unc... Ecosystems are undergoing unprecedented persistent deterioration due to unsustainable anthropogenic human activities,such as overfishing and deforestation,and the effects of such damage on ecological stability are uncertain.Despite recent advances in experimental and theoretical studies on regime shifts and tipping points,theoretical tools for understanding the extinction chain,which is the sequence of species extinctions resulting from overexploitation,are still lacking,especially for large-scale nonlinear networked systems.In this study,we developed a mathematical tool to predict regime shifts and extinction chains in ecosystems under multiple exploitation situations and verified it in 26 real-world mutualistic networks of various sizes and densities.We discovered five phases during the exploitation process:safe,partial extinction,bistable,tristable,and collapse,which enabled the optimal design of restoration strategies for degraded or collapsed systems.We validated our approach using a 20-year dataset from an eelgrass restoration project.Counterintuitively,we also found a specific region in the diagram spanning exploitation rates and competition intensities,where exploiting more species helps increase biodiversity.Our computational tool provides insights into harvesting,fishing,exploitation,or deforestation plans while conserving or restoring the biodiversity of mutualistic ecosystems. 展开更多
关键词 Complex system Network science OVEREXPLOITATION Regime shift METASTABILITY
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vip Editorial:Advances in Bio-inspired Heuristics for Computing
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作者 XINCHAO ZHAO MAOGUO GONG +1 位作者 XINGQUAN ZUO linqiang pan 《CAAI Transactions on Intelligence Technology》 2019年第3期127-128,共2页
Bio-inspired computing (BIC), short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. The field of b... Bio-inspired computing (BIC), short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. The field of bio-inspired computing brings together researchers from many disciplines, including biology, computer science, mathematics, physics and genetics. 展开更多
关键词 vip EDITORIAL ADVANCES BIO-INSPIRED HEURISTICS COMPUTING
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A note on hypertournaments 被引量:1
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作者 linqiang pan Guofei Zhou Kemin Zhang 《Chinese Science Bulletin》 SCIE EI CAS 1999年第16期1460-1463,共4页
It is proved that for given integer k≥2, almost all k-hypertournaments are strong and in almost all k-hypertournaments, every pair of vertices lies on a 3-cycle.
关键词 TOURNAMENT hyper-tournament cycle STRONGLY CONNECTED digraph.
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