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海州湾鱼类群落平均营养级和大型鱼类指数的变化特征

Variations in the mean trophic level and large fish index of fish community in Haizhou Bay,China
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摘要 为探究近年来海州湾鱼类群落的变化特征,本研究根据2011年及2013-2017年春季(5月)和秋季(9-10月)在海州湾及其邻近海域进行的渔业资源底拖网调查,分析了海州湾鱼类群落平均营养级(MTL)和大型鱼类指数(LFI),对海州湾鱼类群落结构特征进行研究.结果表明:海州湾的优势鱼种主要有大泷六线鱼、方氏云鳚、尖海龙、小黄鱼、长蛇鲻等,且优势鱼种季节性变化明显.海州湾鱼类群落的平均营养级存在明显的年际和季节变化,总体上秋季的MTL高于春季,而且秋季MTL变化具有滞后性.LFI计算结果表明,近年来海州湾及其邻近海域大个体鱼类资源量有所减少,鱼类群落结构呈现出明显的小型化趋势. Based on the bottom trawl surveys in spring(May)and in autumn(September to October)from 2011 to 2017(except 2012)in Haizhou Bay,variations in the mean trophic levels(MTL)and large fish index(LFI)of fish community were examined to understand the changes of fish community structure in Haizhou Bay.The results showed that the dominant fish species were Hexagrammos otakii,Enedrias fangi,Syngnathus acus,Pseudosciaena polyactis and Saurida elongata,which had obvious seasonal variation.The mean trophic level of fish community varied significantly among different years and seasons.Generally,MTL in autumn was higher than that in spring,and the variation of which in autumn always lagged behind that in spring.The result of LFI calculation showed that the large fish resources declined and fish community structure in Haizhou Bay showed an obvious tendency of miniaturization in recent years.
作者 吴筱桐 丁翔翔 江旭 徐宾铎 张崇良 任一平 薛莹 WU Xiao-tong;DING Xiang-xiang;JIANG Xu;XU Bin-duo;ZHANG Chong-liang;REN Yi-ping;XUE Ying(College of Fishery,Ocean University of China,Qingdao 266003,Shandong,China;Functional Laboratory for Marine Fisheries Science and Food Production Processes,Qingdao Pilot National Laboratory for Marine Science and Technology,Qingdao 266237,Shandong,China)
出处 《应用生态学报》 CAS CSCD 北大核心 2019年第8期2829-2836,共8页 Chinese Journal of Applied Ecology
基金 国家重点研发计划项目(2018YFD0900904) 国家自然科学基金项目(31772852) 山东省支持青岛海洋科学与技术试点国家实验室重大科技专项(2018SDKJ0501-2).
关键词 群落结构 优势种 渔业资源 海洋生态系统健康 community structure dominant species fishery resources marine ecosystem health
作者简介 吴筱桐,女,1997年生,本科生.主要从事海洋渔业资源研究.E-mail:charlotte1516@163.com;通讯作者:薛莹,E-mail:xueying@ouc.edu.cn.
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