Impacts of Strong ENSO Events on Fish Communities in an Overexploited Ecosystem in the South China Sea
文献类型： 外文期刊
作者： Li, Miao 1 ; Xu, Youwei 1 ; Sun, Mingshuai 1 ; Li, Jiajun 1 ; Zhou, Xingxing 1 ; Chen, Zuozhi 1 ; Zhang, Kui 1 ;
作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China
2.Sea Fishery, Key Lab Sustainable Utilizat Open, Minist Agr & Rural Affairs, Guangzhou 510300, Peoples R China
3.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China
关键词： fish community; biodiversity; Beibu Gulf; GAM; Trachurus japonicus; Decapterus maruadsi
期刊名称：BIOLOGY-BASEL （ 影响因子：4.2； 五年影响因子：4.4 ）
ISSN：
年卷期： 2023 年 12 卷 7 期
页码：
收录情况： SCI
摘要： Simple Summary Impacts of climate change on fisheries resources and biodiversity are being increasingly reported. An increased frequency and intensity of extreme ocean climate events can be expected to affect Beibu Gulf marine ecosystems and fishery productivity. We examine Beibu Gulf fisheries resource survey data before and after ENSO events, and compare changes in fish biodiversity, dominant species, and community distributions between El Nino and La Nina events. Relationships between the abundance of dominant species and environmental variables are discussed, and how environmental changes affect fish populations are evaluated. To better understand how fish communities respond to environmental changes under extreme climate events, we examine changes in fish communities in Beibu Gulf during strong El Nino and La Nina events. Strong La Nina and El Nino events affect the composition, abundance, and distribution of fish communities in Beibu Gulf. Fish community distribution and composition change before and after La Nina and El Nino events, and dominant species within them change with stable fishing intensity. The abundance and distribution of small pelagic fish such as Japanese jack mackerel (Trachurus japonicus) and Japanese scad (Decapterus maruadsi) are the most affected. Using a generalized additive model (GAM), we explore relationships between the abundance of T. japonicus and D. maruadsi and a suite of environmental variables. The GAM results revealed that sea surface salinity and sea surface temperature best explain changes in catch per unit effort of these two species during a La Nina event; depth, sea surface temperature, and mixed layer depth during an El Nino event. The results obtained in this study will offer support for implementing more-accurate, scientific fisheries management measures.
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