黄渤海蓝点马鲛双船拖网渔业CPUE时空变化及其标准化  

Spatio-temporal distribution and standardization of CPUE for Scomberomorus niphonius pair trawler fishery in the Yellow and Bohai Seas

作　　者：马亚宸 徐宾铎[1,2,3] 张崇良 于华明[4] 薛莹 任一平 MA Yachen;XU Binduo;ZHANG Chongliang;YU Huaming;XUE Ying;REN Yiping(College of Fisheries,Ocean University of China,Qingdao 266003,China;Laboratory for Marine Fisheries Science and Food Production Processes,Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao 266237,China;Field Observation and Research Station of Haizhou Bay Fishery Ecosystem,Ministry of Education,Qingdao 266003,China;College of Oceanic and Atmospheric Sciences,Ocean University of China,Qingdao 266100,China)

机构地区：[1]中国海洋大学水产学院,山东青岛266003 [2]青岛海洋科学与技术试点国家实验室,海洋渔业科学与食物产出过程功能实验室,山东青岛266237 [3]海州湾渔业生态系统教育部野外科学观测研究站,山东青岛266003 [4]中国海洋大学海洋与大气学院,山东青岛266100

出　　处：《中国水产科学》2021年第4期493-502,共10页Journal of Fishery Sciences of China

基　　金：国家重点研发计划项目(2018YFD0900904);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)。

摘　　要：根据2012—2018年山东省海洋捕捞渔业信息船的生产统计数据,分析了黄渤海蓝点马鲛(Scomberomorus niphonius)双船拖网渔业名义单位捕捞努力量渔获量(CPUE)和渔场重心的时空变化,结合表层水温等海洋环境因子,应用广义可加模型(GAM)分析了蓝点马鲛双船拖网渔业名义CPUE与时空及环境因子的关系,并对CPUE进行标准化。结果表明,蓝点马鲛名义CPUE和渔场重心存在明显的年际和月变化;名义CPUE在2012—2018年间呈波动下降趋势,每年在9—11月出现最大值。渔场重心的月变化呈现从东南到西北再转向东南的趋势,这与蓝点马鲛的洄游规律相一致。渔场重心呈现一定的年变化,其经度变化与水温变化趋势相反,纬度变化与水温变化趋势相同。GAM模型分析表明,年份、表层水温、经度和纬度对名义CPUE有极显著影响,其中年份对名义CPUE影响最显著,名义CPUE随着表层水温升高呈上升趋势。标准化CPUE与名义CPUE具有相似变化趋势,但标准化CPUE波动幅度较小,且其值均小于名义CPUE。The Spanish mackerel(Scomberomorus niphonius)is widely distributed in the China Seas.It is a commercially important marine fish species,which has maintained a high yield in China for many years.With the recent decline in fishery resources,S.niphonius has played an increasingly important role in Chinese capture fisheries.Therefore,it is of great significance to analyze the status of fishery resources for the sustainable utilization and rational management of S.niphonius.Catch per unit effort(CPUE),commonly used as an index of the relative abundance of fish populations,is one of the most important data sets used for fishery stock assessment.Fishery-dependent monitoring programs are a common source for collecting data for stock assessment and fishery management,as it is more cost-effective and may collect data on a larger spatio-temporal scale compared with that of fishery-independent survey programs.However,the nominal CPUE calculated based on the fishery-dependent survey data is usually influenced greatly by various factors,such as temporal(e.g.,year and month),spatial(e.g.,longitude and latitude),and environmental(e.g.,sea surface temperature)factors.It is essential to standardize the CPUE before it is used in fishery stock assessment.Generalized additive models(GAM)are commonly applied to standardize CPUE data.Based on the logbook data of monitoring fishing vessels in Shandong Province in 2012–2018,the CPUE and variations in the barycenter of fishing grounds for S.niphonius pair trawler fishery in the Yellow and Bohai Seas were studied.The GAM model was used to analyze the relationship between the nominal CPUE of S.niphonius and the spatio-temporal and environmental factors,such as sea surface temperature,and to standardize the CPUE.The results showed that the nominal CPUE and barycenter of the fishing grounds of S.niphonius had clear monthly and annual changes;the nominal CPUE showed a fluctuating downward trend from 2012 to 2018,and the maximum appeared from September to November each year.The monthly change

关 键 词：蓝点马鲛 时空分布 CPUE标准化 广义可加模型 黄渤海 

分 类 号：S931[农业科学—渔业资源]