黄海北部辽宁近岸海域鳀产卵场分布特征及其影响因素  

Distribution Patterns and Influencing Factors of Engraulis japonicus Spawning Grounds in Offshore Waters of the Liaoning Province in the North Yellow Sea

作　　者：崔培东 卞晓东[1,2] 张雨轩 单秀娟 金显仕[1,2] 王惠宾 CUI Peidong;BIAN Xiaodong;ZHANG Yuxuan;SHAN Xiujuan;JIN Xianshi;WANG Huibin(Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Key Laboratory of Marine Fisheries and Sustainable Development,Ministry of Agriculture and Rural Affairs,Shandong Key Laboratory for Fishery Resources and Eco-Environment,Qingdao 266071,China;National Field Observation and Research Center for Fisheries Resources in Changdao Waters,Yantai 265800,China;College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China)

机构地区：[1]中国水产科学研究院黄海水产研究所、农业农村部海洋渔业与可持续发展重点实验室、山东省渔业资源与生态环境重点实验室,山东青岛266071 [2]山东长岛近海渔业资源国家野外科学观测研究站,山东烟台265800 [3]上海海洋大学海洋科学学院,上海201306

出　　处：《渔业科学进展》2024年第3期31-45,共15页Progress in Fishery Sciences

基　　金：山东省自然科学基金(ZR2022MD086);农业农村部财政项目“黄渤海产卵场调查”(125C0505);山东省泰山学者专项基金(tsqn202103135);黄渤海渔业资源与生态创新团队(2020TD01)共同资助。

摘　　要：为掌握黄海北部辽宁近岸海域鳀(Engraulis japonicus)产卵场的分布特征及其关键环境因子,基于2021年4—12月开展的产卵场综合调查获取的鳀样品及其鱼卵密度数据,运用Garrison重心分布法阐释鳀产卵洄游分布特征及其主产卵期;通过基于Tweedie分布的广义可加模型(generalized additive model,GAM)的构建,分析主产卵期内鳀卵密度与同步获取的海水表层温度(SST)、海水表层盐度(SSS)、海水表层叶绿素浓度(Chla)、浮游动物丰度(Fd)、浮游植物丰度(Fz)和深度(Depth)等6个环境因子,以及时间(月份,Month)和空间(经纬度、Lon和Lat)因子之间关系,并识别主控因子。结果显示,海域内鳀产卵期较长,由4月持续至11月,5—8月为主产卵期,其中,5—6月为产卵盛期。鳀产卵场规模和位置时空变化明显,时空因子与鳀卵密度分布呈密切非线性相关(累积偏差解释率为48.1%),(SST,SSS)(18.7%)和Depth(5%)次之。鳀产卵期适温范围较广,产卵场分布表现出高温高盐(低温低盐)增效作用和高温低盐限制作用。产卵初期(4月),鳀产卵场规模和鱼卵密度均较低,产卵重心位于海洋岛东南侧深水区;盛期(5月底—6月初)在SST主导下,鳀产卵场规模和鱼卵密度均至年内最高值,核心产卵场位于石城岛–庄河河口一带海域;此后,随着辽南沿岸水系盐度的下降,高温低盐的抑制作用使SSS因素主导产卵鱼群避开沿岸海域,鳀产卵场迁移至外海深水区,7月后位于30~50 m等深线之间;9—10月鳀繁殖活动基本结束,10月鳀卵仅零星分布于调查海域,直至12月未有鳀卵采获。研究可为黄海北部辽宁近岸海域鳀产卵场研究及鳀资源合理开发利用提供参考依据。The ichthyoplankton stage is the stage that is most vulnerable to changes in the marine environment in the development cycle of marine fish.Subtle changes in the marine environment have a strong impact on fish survival,development,and growth.The abundance of fish eggs directly affects the early recruitment of fish resources and determines the vitality of generations.As one of the important spawning grounds of Engraulis japonicus,it is of great significance to understand the distribution patterns and relationship between environmental factors in offshore waters of the Liaoning Province in the North Yellow Sea.Based on the spawning grounds survey carried out in offshore waters of the North Yellow Sea from April to December,2021,first,Garrison's distribution center of gravity was used to analyze the core spawning ground of E.japonicus and its migration route.Second,a generalized additive model based on Tweedie distribution(Tweedie-GAM)was applied to convey the main drivers of the distribution patterns of the spawning grounds.The relationship between E.japonicus egg density and six natural environment factors of seawater surface temperature(SST),seawater surface salinity(SSS),seawater surface chlorophyll a concentration,zooplankton abundance,phytoplankton abundance,and depth,as well as the factors of time(month)and space(longitude and latitude)were interpreted.Finally,the cross-validation method was used to validate the model and predict the potential spawning grounds.The results showed that the spawning period of E.japonicus was long,lasting from April to November,and the main spawning period was from May to August,with peak spawning from late May to early June,in offshore waters of the Liaoning Province in the North Yellow Sea.During the spawning season,the size and location of the E.japonicus spawning grounds showed obvious spatiotemporal variation.There was a significant nonlinear correlation between spatiotemporal factors and the density distribution of E.japonicus eggs.Although spatiotemporal factors were the m

关 键 词：鳀 产卵场 主产卵期 Tweedie-GAM 黄海北部 

分 类 号：S931[农业科学—渔业资源]