An adaptive sampling method based on optimized sampling design for fishery-independent surveys with comparisons with conventional designs
文献类型: 外文期刊
作者: Liu, Yong 1 ; Chen, Yong 3 ; Cheng, Jiahua 2 ; Lu, Jianjian 1 ;
作者机构: 1.E China Normal Univ, State Key Lab Coastal & Estuarine Res, Shanghai 200062, Peoples R China
2.Chinese Acad Fishery Sci, E China Sea Fisheries Inst, Key & Open Lab Marine & Estuarine Fisheries Certi, Minist Agr, Shanghai 200090, Peoples R China
3.Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
关键词: Adaptive sampling design;Fishery-independent survey;Optimized sampling design;Sampling design comparison
期刊名称:FISHERIES SCIENCE ( 影响因子:1.617; 五年影响因子:1.531 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: The adaptive cluster sampling method is widely applied in terrestrial systems; however, it is not suitable for fisheries surveys because of the high cost of unlimited sampling in practice. An adaptive approach is often used in fisheries surveys to allocate sampling effort, usually following a stratified random design. Development of an adaptive sampling method based on optimized sampling design (this design has been suggested by previous study for fishery-independent surveys) has been not yet carriedout. An adaptive sampling method based on optimized sampling design using the criterion of minimization of the mean of the shortest distance (MMSD) in the first phase was constructed in this study and compared with five other sampling designs: simple random, stratified random, adaptive based on stratified sampling, systematic, and optimum design based on the MMSD criterion. This design performed neither the best nor the worst among the six sampling designs considered in this study, but its advantages were obvious when the sampling effort saved using this design was considered in the comparison. This method tends to be more flexible and find fish aggregations more precisely. It is based on a more objective sampling design in the first phase compared with other adaptive sampling designs based on stratified sampling designs. We suggest that this design be considered in developing fishery-independent survey programs.
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