基于北斗VMS数据和DBSCAN算法的夏季海州湾中国毛虾资源分布  

Resource distribution of Acetes chinensis in Haizhou Bay in summer based on BeiDou VMS data and DBSCAN algorithm

作　　者：李冬佳 李国东 熊瑛[2] 仲霞铭[2] 张琥顺 宋大德 杨帆 康中杰 吴晓睿 王淑艳 梁龙 LI Dongjia;LI Guodong;XIONG Ying;ZHONG Xiaming;ZHANG Hushun;SONG Dade;YANGFan;KANG Zhongjie;WU Xiaorui;WANG Shuyan;LIANG Long(College of Marine Living Resource Sciences and Management,Shanghai Ocean University,Shanghai 201306,China;Jiangsu Marine Fisheries Research Institute,Nantong 226007,Jiangsu,China;State Key Laboratory of Estuarine and Coastal Research,East China Normal University,Shanghai 200241,China;College of Fisheries and Life Science,Shanghai Ocean University,Shanghai 201306,China)

机构地区：[1]上海海洋大学海洋生物资源与管理学院,上海201306 [2]江苏省海洋水产研究所,江苏南通226007 [3]华东师范大学河口海岸国家重点实验室,上海200241 [4]上海海洋大学水产与生命学院,上海201306

出　　处：《上海海洋大学学报》2024年第2期444-451,共8页Journal of Shanghai Ocean University

基　　金：江苏省省级农业生态保护与资源利用-渔业生态与资源监测项目(2021-SJ-110-02);江苏省省级农业生态保护与资源利用-渔业生态与资源监测项目(2022-SJ-061-01);2022年南通市社会民生重点专项-基于数据仓库技术的长江口及邻近海域捕捞渔情信息系统的研发与应用项目(MS12022008)。

摘　　要：2020年我国伏季休渔期间中国毛虾限额捕捞试点在黄海海州湾实施,2021年该限额捕捞项目继续实施,在此背景下探究夏季海州湾中国毛虾资源分布对其限额捕捞精细化管理至关重要。首先基于2021年海州湾中国毛虾限额捕捞期间北斗渔船监控系统(Vessel monitoring system,VMS)数据提取得到各毛虾张网渔船所有捕捞网位点及其捕捞努力量,然后运用具有噪声的密度聚类(Density-based spatial clustering of application with noise,DBSCAN)算法进一步识别含有捕捞产量的网位点,从而探究夏季海州湾中国毛虾资源分布格局。结果显示,含有产量的网位点识别率为97.18%,表明DBSCAN算法能精准识别含有产量的捕捞网位点。含有产量的网位点共有898个,空间上呈聚集性分布。依据捕捞努力量情况探究得到中国毛虾资源主要分布在120°00′E~120°15′E,34°43′N~34°48′N和119°47′E~119°53′E,34°36′N~34°43′N。本研究思路可作为其他渔业捕捞活动中运用VMS数据提取含产量捕捞网位点的科学参考。In 2020,China's first fisheries total allowable catch system(TACs)pilot project of Acetes chinensis during the summer moratorium of marine fishing was successfully launched in Haizhou Bay of the Yellow Sea.The project continued to be extended to the Bohai Sea in 2021.Therefore,it is crucial to explore the resource distribution of A.chinensis in Haizhou Bay in summer for the refined management of TACs project.In this study,the position and fishing effort of each netting based on the BeiDou vessel monitoring system(VMS)data during the TACs project of A.chinensis in Haizhou Bay in 2021 were firstly extracted.Then we used the Density-Based Spatial Clustering of Application with Noise(DBSCAN)algorithm to further identify the netting positions with production to investigate the resource distribution pattern of A.chinensis.The results showed that the DBSCAN algorithm could accurately identify the netting positions with production and its recognition rate was 97.18%.There were 898 netting positions with production during the TACs project,presenting an aggregated spatial distribution pattern.Moreover,it was found that the resource distribution of A.chinensis were mainly distributed in 120°00′E−120°15′E,34°43′N−34°48′N and 119°47′E−119°53′E,34°36′N−34°43′N based on the fishing effort of all the vessels.This study can be used as a scientific reference for using BeiDou VMS date to extract the netting positions with production in other fishing activities.

关 键 词：中国毛虾 渔船监控系统 密度聚类 限额捕捞 海州湾 

分 类 号：S932.51[农业科学—渔业资源]