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Efficient keystone species identification strategy based on tabu search | PLOS One

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Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Writing – original draft, Writing – review & editing Affiliation School of Mathematics and Statistics, Shandong University, Weihai, Shandong, China Contributed equally to this work with: Chuanjin Fan, Donghui Zhu Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing Affiliation School of Mathematics and Statistics, Shandong University, Weihai, Shandong, China Roles Conceptualization, Validation, Writing – original draft, Writing – review & editing Affiliation SDU-ANU Joint Science College, Shandong University, Weihai, Shandong, China Roles Conceptualization, Project administration, Writing – review

Efficient keystone species identification strategy based on tabu search | PLOS One Browse Subject Areas ? Click through the PLOS taxonomy to find articles in your field. For more information about PLOS Subject Areas, click here . Article Authors Metrics Comments Media Coverage Reader Comments Figures Figures Abstract As species extinction accelerates globally and biodiversity declines dramatically, identifying keystone species becomes an effective way to conserve biodiversity. In traditional approaches, it is considered that the extinction of species with high centrality poses the greatest thr

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