Li Miao, Xu Youwei, Sun Mingshuai, Li Jiajun, Zhou Xingxing, Chen Zuozhi, Zhang Kui
South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China.
Key Laboratory for Sustainable Utilization of Open-Sea Fishery, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China.
Biology (Basel). 2023 Jul 1;12(7):946. doi: 10.3390/biology12070946.
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 Niño and La Niña events. Strong La Niña and El Niño events affect the composition, abundance, and distribution of fish communities in Beibu Gulf. Fish community distribution and composition change before and after La Niña and El Niño events, and dominant species within them change with stable fishing intensity. The abundance and distribution of small pelagic fish such as Japanese jack mackerel () and Japanese scad () are the most affected. Using a generalized additive model (GAM), we explore relationships between the abundance of and 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 Niña event; depth, sea surface temperature, and mixed layer depth during an El Niño event. The results obtained in this study will offer support for implementing more-accurate, scientific fisheries management measures.
为了更好地了解极端气候事件下鱼类群落如何应对环境变化,我们研究了强厄尔尼诺和拉尼娜事件期间北部湾鱼类群落的变化。强拉尼娜和厄尔尼诺事件影响北部湾鱼类群落的组成、丰度和分布。拉尼娜和厄尔尼诺事件前后鱼类群落分布和组成发生变化,且在稳定捕捞强度下其中的优势种也会改变。诸如日本竹荚鱼()和蓝圆鲹()等小型中上层鱼类的丰度和分布受影响最大。我们使用广义相加模型(GAM)探究了和的丰度与一系列环境变量之间的关系。GAM结果表明,海表盐度和海表温度最能解释拉尼娜事件期间这两个物种单位捕捞努力量渔获量的变化;而厄尔尼诺事件期间则是深度、海表温度和混合层深度。本研究所得结果将为实施更准确、科学的渔业管理措施提供支持。