Evaluating multispecies survey designs using a joint species distribution model

作     者：Chongliang Zhang Binduo Xu Ying Xue Yiping Ren 

作者机构：College of FisheriesOcean University of China.216Fisheries Hall5 Yushan RoadQingdao266003China Qingdao National Laboratory for Marine Science and Technology1 Wenhai RoadQingdao266000China 

出 版 物：《Aquaculture and Fisheries》 (渔业学报（英文）)

年 卷 期：2020年第5卷第3期

页      面：156-162页

学科分类：090803[农学-渔业资源] 0908[农学-水产] 09[农学] 

基　　金：This study is supported by the National Natural Science Foundation of China(31802301 31772852) 

主　　题：Multispecies survey Boral Sampling methods Estimation methods Sample size 

摘      要：Survey designs should be efficient as marine survey programs are usually expensive and time-consuming;however,surveys have rarely been evaluated for multiple *** the present study,we evaluated multispecies fisheries surveys with respect to three influential factors,i.e.,sampling methods,estimation methods and sample size.A joint species distribution model(JSDM)developed in north Yellow Sea,China was used as the operating model to simulate the spatial distribution of multiple species *** examined the precision of multispecies abundance estimation using diverse sampling methods[random sampling(RDS),systematic sampling(SYS),stratified random sampling(SRS),generalized random-tessellation stratified sampling(GRT)and spatial coverage sampling(SPC)],estimation methods[arithmetic mean(Arm),universal kriging(Ukr),multivariate distribution model(Mvd),and boral model(Brm)],and a range of sample sizes(from 30 to 300).The results showed significant differences in estimation among sampling methods,where GRT and SYS yielded less relative absolute bias(RAB)over all and RDS showed the least *** estimation methods,Mvd and Arm showed the best performances and Brm yielded the least *** interactions existed between sampling and estimation *** worked best with GRT,likewise Mvd with SYS and Ukr with *** and Mvd showed the best performances for a small sample size(N=30),and all sampling and estimation methods provided similar results for a large sample size(N=300).Generally,doubling sample size resulted in a decrease of RAB by 0.097 on average,a rate depending on species,sampling and estimation *** study contributed to an integrative framework for evaluating designs of multispecies fisheries surveys.