中国水产科学2017，Vol.24Issue(5)：931-938,8.DOI:10.3724/SP.J.1118.2017.17080
黄河口鱼类底拖网调查采样断面数的优化
Sample size optimization for cluster design of bottom trawl fish surveys in the Yellow River estuary
摘要
Abstract
Fishery-independent surveys are essential for collecting high-quality data to support the stock assessments and management of regular fisheries.In general,such programs are more costly and time-consuming than commercial fishery-dependent programs.Thus,considerable interest exists in using computer simulations to optimize methods for obtaining high-quality data with limited sampling effort.Currently,high intensity fishery-independent bottom trawl surveys may negatively affect and disturb fish populations and the ecosystem of fragile estuarine habitats.These areas support many important fishery species;however,they are also among the most extensively affected and threatened aquatic environments due to fishing pressure and environmental stressors such as coastal development.In this study,we developed computer simulations to evaluate and optimize sampling of mean body length and weight of target fish species in a cluster sampling survey.For use in simulations,bottom trawl surveys were conducted in the Yellow River estuary and its adjacent waters during 2013 (August,October)and 2014 (February,May) to collect abundance and biological-trait data on red tongue sole (Cynoglossus joyneri)and finespot goby (Chaeturichthys stigmatias).The relative estimation error (REE),relative bias (RB),and coefficient of variation (CV) were used to measure the performance (accuracy,precision,and efficiency) of sampling schemes.These indices increased for simulated data when the number of sampling sections decreased.In the current survey design,a reduction in sampling-section number from five to three would reduce sampling effort by 40％,while increasing REE by only ～2％ in about 40％ of the catches.Thus,three sections are acceptable for surveys designed to obtain size-based indicators.This study also showed that sampling-effort optimization may vary between different survey objectives.Therefore,a post-survey analysis will improve fishery-independent survey designs based on specific survey goals,thereby yielding more effective survey data.关键词
黄河口/底拖网调查/采样设计优化/最优断面数/计算机模拟Key words
Yellow River estuary/bottom trawl survey/experimental design optimization/optimal transect number/computer simulation分类
农业科技引用本文复制引用
王晶,徐宾铎,张崇良,薛莹,任一平,万荣..黄河口鱼类底拖网调查采样断面数的优化[J].中国水产科学,2017,24(5):931-938,8.基金项目
公益性行业(农业)科研专项经费项目(201303050). （农业）
