基于Bootstrap的ELEFAN方法在评估方氏云鳚群体生长参数中的应用  

Evaluating the growth parameters of Pholis fangi based on the bootstrap-ELEFAN method

作　　者：王琨 张崇良[1] 陈宁[1] 任一平[1,2] WANG Kun;ZHANG Chongliang;CHEN Ning;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 MarineScience and Technology (Qingdao),Qingdao 266237,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

出　　处：《中国水产科学》2019年第3期512-521,共10页Journal of Fishery Sciences of China

基　　金：国家自然科学基金项目(31802301)

摘　　要：渔业数据有限性是小型渔业资源评估所面临的常见问题。电子体长频率分析(electroniclengthfrequency analysis,ELEFAN)常用于年龄数据难以获取或缺失的渔业,但该方法的可靠性尚待检验。本研究根据2013―2018年春、秋季共11个航次的海州湾底拖网调查数据,分别使用传统的ELEFAN与结合Bootstrap的ELEFAN方法,比较了2013―2015年与2016―2018年两个时间段内海州湾方氏云鳚(Pholis fangi)群体von-Bertalanffy生长方程中参数之间的变化。结果显示,在海州湾海域,方氏云鳚的生长参数具有显著变化, 2013―2018年,群体的极限体长变小,生长速率加快,说明海州湾方氏云鳚群体近年来呈现小型化的趋势。相比传统的ELEFAN方法,结合Bootstrap的ELEFAN方法能够给出较为稳健的参数估计,受采样随机性的影响较小,可以较好地应用于数据缺乏的小型渔业中。本研究加深了对方氏云鳚种群动态的认识,并推动了基于体长频率的生长参数估算方法在数据有限资源评估中的应用。Fish stock assessment usually requires a wide range of supporting data, including an abundance index, production, age structure. However, some data are hardly available in many fisheries because of limited research funding and social attention. Therefore, many fisheries, particularly small-scale fisheries, often do not have suffi- cient data to support fish stock assessment and are considered data-limited or data-poor. An increasing amount of literature has been focused on the development of data-poor stock assessment methods in recent decades, among which electronic length frequency analysis (ELEFAN) is a prevalent method that uses length frequency distribu- tion data to assess the status of fisheries. One crucial application of the ELEFAN is the estimation of growth pa- rameters in the Von Bertalanffy growth function (VBGF). However, the method is based on certain optimization algorithms and cannot provide information on its precision or confidence intervals for growth parameters, which implies that the reliability of ELEFAN needs to be tested in future studies. This study used a bootstrap approach to evaluate the uncertainty of the ELEFAN method based on the survey data of Pholis fangi in Haizhou Bay. This species is one of the dominant species in Haizhou Bay and plays an important role in the food web and ecosystem of the Yellow Sea. Although the declines in fishery resources have drawn increasing attention in many regions of the world, relevant studies have commonly focused on large-scale fisheries, whereas small-scale fisheries, such as that of P. fangi, has been largely overlooked. Therefore, the biological characteristics of this species and their temporal changes is not well understood. This study was focused on the temporal changes in VBGF growth pa- rameters of P. fangi in Haizhou Bay at different survey periods. We conducted annual bottom trawl surveys in Ha- izhou Bay in the spring and autumn from 2013 to 2018, and used the ELEFAN method to estimate the VBGF growth parameters infinite length (L ) and

关 键 词：方氏云鳚 von-Bertalanffy 生长参数 ELEFAN BOOTSTRAP 

分 类 号：S931[农业科学—渔业资源]