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XU Binduo,REN Yiping,CHEN Yong,XUE Ying,ZHANG Chongliang,WAN Rong. 0. Optimization of stratification scheme for a fishery-independent survey with multiple objectives. Acta Oceanologica Sinica, (0):0-
Optimization of stratification scheme for a fishery-independent survey with multiple objectives
Received:April 30, 2015  Revised:July 29, 2015
DOI:10.1007/s13131-015-0739-z
中文关键词:  
英文关键词:fishery-independent survey  optimization  stratified random sampling  stratification scheme  computer simulation
基金项目:The Public Science and Technology Research Funds Projects of Ocean under contract No. 201305030; the Specialized Research Fund for the Doctoral Program of Higher Education under contract No. 20120132130001; the Fundamental Research Funds for the Central Universities under contract Nos 201262004 and 201022001.
Author NameAffiliationE-mail
XU Binduo College of Fisheries, Ocean University of China, Qingdao 266003, China
School of Marine Sciences, University of Maine, Orono, Maine 04469, USA 
 
REN Yiping College of Fisheries, Ocean University of China, Qingdao 266003, China  
CHEN Yong College of Fisheries, Ocean University of China, Qingdao 266003, China
School of Marine Sciences, University of Maine, Orono, Maine 04469, USA 
 
XUE Ying College of Fisheries, Ocean University of China, Qingdao 266003, China  
ZHANG Chongliang College of Fisheries, Ocean University of China, Qingdao 266003, China
School of Marine Sciences, University of Maine, Orono, Maine 04469, USA 
 
WAN Rong College of Fisheries, Ocean University of China, Qingdao 266003, China rongwan@ouc.edu.cn 
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中文摘要:
      
英文摘要:
      Fishery-independent surveys are often used for collecting high quality biological and ecological data to support fisheries management. A careful optimization of fishery-independent survey design is necessary to improve the precision of survey estimates with cost-effective sampling efforts. We developed a simulation approach to evaluate and optimize the stratification scheme for a fishery-independent survey with multiple goals including estimation of abundance indices of individual species and species diversity indices. We compared the performances of the sampling designs with different stratification schemes for different goals over different months. Gains in precision of survey estimates from the stratification schemes were acquired compared to simple random sampling design for most indices. The stratification scheme with five strata performed the best. This study showed that the loss of precision of survey estimates due to the reduction of sampling efforts could be compensated by improved stratification schemes, which would reduce the cost and negative impacts of survey trawling on those species with low abundance in the fishery-independent survey. This study also suggests that optimization of a survey design differed with different survey objectives. A post-survey analysis can improve the stratification scheme of fishery-independent survey designs.
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