Using a topological approach to identify keystone species of fish in eutrophic lake ecosystems: A case of Zhushan Bay, Taihu Lake

文献类型： 外文期刊

第一作者： Ren, Kecheng

作者： Ren, Kecheng;Xu, Dongpo;Zhao, Dongfu;Ren, Kecheng;Xu, Dongpo;Ren, Long;Zhao, Dongfu

作者机构：

关键词： eutrophic; food web; keystone species; network analysis; Taihu Lake; topology

期刊名称：FISHERIES MANAGEMENT AND ECOLOGY （ 影响因子：2.088； 五年影响因子：2.288 ）

ISSN： 0969-997X

年卷期： 2023 年 30 卷 1 期

页码：

收录情况： SCI

摘要： Eutrophication is a global aquatic environmental problem. Traditional biomanipulation targeting keystone species has been effective for restoring eutrophic lakes. In this study, we conducted monthly fishery assessments and identified keystone species in Zhushan Bay of Taihu Lake, the most representative lake in the middle and lower reaches of the Yangtze River. We built the topological structure of Zhushan Bay's food web based on feeding relationships and calculated network indices of fish groups in the food web using network analysis, combined with Key Player Problem operation. Culter mongolicus, Culter alburnus, Protosalanx hyalocranius and Salangichthys tangkahkeii were the keystone species in Zhushan Bay's food web. Culter mongolicus and Culter alburnus had the greatest impact on the food web after removal. Protosalanx hyalocranius had the fastest speed of transmitting information. Salangichthys tangkahkeii was the key baitfish with the strongest ability to determine structure of species in higher trophic levels. Our study provided a reference for scientific management of shallow lake ecosystems and biological solutions for restoration of eutrophic lakes.

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