基于长度贝叶斯生物量法估算北部湾二长棘鲷种群参数  

Using length-based Bayesian biomass method to estimate Parargyrops edita population parameters in the Beibu Gulf,South China Sea

作　　者：王雪辉[1] 邱永松[1] 杜飞雁[1] 孙典荣[1] 王跃中[1] WANG Xuehui;QIU Yongsong;DU Feiyan;SUN Dianrong;WANG Yuezhong(Key Laboratory of Open-Sea Fishery Development,Ministry of Agriculture and Rural Affair,Guangdong Provincial Key Laboratory of Fishery Ecology and Environment,South China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Guangzhou 510300,China)

机构地区：[1]中国水产科学研究院南海水产研究所,农业农村部外海渔业开发重点实验室,广东省渔业生态环境重点实验室,广东广州510300

出　　处：《水产学报》2020年第10期1654-1662,共9页Journal of Fisheries of China

基　　金：国家科技基础资源调查专项(2017FY201405,2018FY100105);中国水产科学研究院基本科研业务费专项(2019HYJC0203,2019GH02);中越北部湾共同渔区渔业资源联合调查。

摘　　要：渔业数据缺乏是渔业资源评估和管理面临的难题。以2006—2018年北部湾二长棘鲷体长频率数据为例,运用基于长度频率的贝叶斯生物量方法(LBB),估算二长棘鲷的渐近体长(L∞)、最适开捕体长(Lcopt)、相对自然死亡率(M/k)和相对捕捞死亡率(F/k)等种群参数。结果发现,2006—2018年间北部湾二长棘鲷的渐近体长平均为21.0 cm,最适开捕体长平均为12.6 cm,相对死亡率M/k、F/k、Z/k和开发率E分别为1.49、3.65、5.15和0.67。二长棘鲷的开捕体长和渐近体长的变化趋势一致,均呈下降趋势,且其生长速度有加快趋势。基于LBB估算的最适开捕体长和开发率与运用独立评估模型估算的结果基本一致。如果长度频率能代表资源开发阶段的长度组成,使用LBB估算的结果将较好地反映其真实情况。基于LBB的研究方法可为渔业数据缺乏情况下进行渔业资源评估提供借鉴。Data-limitation is a difficult problem in fishery stock assessment and management.Based on length frequency data of Parargyrops edita collected from otter trawl survey in the Beibu Gulf in 2006–2018,we used length-based Bayesian biomass(LBB)method to estimate population parameters,namely asymptotic length(L∞),optimal length-at-first-capture(Lcopt),relative natural mortality(M/k),and relative fishing mortality(F/k).The L∞was estimated to be 21.0 cm,Lcopt to be 12.6 cm,and M/k,F/k,Z/k and E to be 1.49,3.65,5.15,and 0.67,respectively.L∞and Lcopt showed the similar downward trend,and fish growth tended to be quickening.The Lcopt and exploitation rate estimated by LBB were close to those estimated by independent full stock assessments.This case study suggested that if the length frequency represents length composition of a stock,the estimation by LBB will perform properly,and the method based on LBB can provide informative reference for fishery stock assessment under the data-limited conditions.

关 键 词：二长棘鲷 种群参数 长度频率 长度贝叶斯生物量 数据缺乏 北部湾 

分 类 号：S931[农业科学—渔业资源]