• ISSN 1000-0615
  • CN 31-1283/S
Volume 46 Issue 12
Dec.  2022
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CHENG Wen, JI Yupeng, XUE Ying, ZHANG Chongliang, XU Hao, REN Yiping, XU Binduo. Effect of sampling design on the estimation of length-weight relationship parameter b of Chaemrichthys stigmatias[J]. Journal of fisheries of china, 2022, 46(12): 2357-2365. DOI: 10.11964/jfc.20210212658
Citation: CHENG Wen, JI Yupeng, XUE Ying, ZHANG Chongliang, XU Hao, REN Yiping, XU Binduo. Effect of sampling design on the estimation of length-weight relationship parameter b of Chaemrichthys stigmatias[J]. Journal of fisheries of china, 2022, 46(12): 2357-2365. DOI: 10.11964/jfc.20210212658
shu

Effect of sampling design on the estimation of length-weight relationship parameter b of Chaemrichthys stigmatias

  • 1.

    College of Fisheries, Ocean University of China, Qingdao　266003, China

  • 2.

    Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao　266237, China

  • 3.

    Field Observation and Research Station of Haizhou Bay Fishery Ecosystem, Ministry of Education, Qingdao　266003, China

  • 4.

    Qingdao Marine Hazard Mitigation Service, Qingdao　266071, China

Funds: National Key R & D Program of China (2019YFD0901205, 2018YFD0900904); Marine S & T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao)(2018SDKJ0501-2)
More Information
  • Corresponding author:

    XU Binduo. E-mail: bdxu@ouc.edu.cn

  • Received Date: February 26, 2021
  • Revised Date: May 07, 2021
  • Available Online: October 21, 2022
  • Published Date: November 30, 2022
    Graphical Abstract
    • Abstract
  • The length-weight relationship of fish stock is one of the commonly used formulas in fishery ecology study. The length-weight relationship is significant for the assessment of fishery resources. It is often used to estimate the average weight of a given length and estimate the status of the fish stock. The accuracy of the estimates of length-weight relationship parameters for fish stock affects the stock assessment and management. Data obtained with different sampling design may have influence on the estimation of length-weight relationship parameter b of Chaemrichthys stigmatias. In order to find out the affect of sampling season and sample size on the length-weight relationship parameters, this study based on the biological data on the length and weight of C. stigmatias obtained from fishery-independent surveys conducted between 2013 and 2014 in the Yellow River Estuary, examined the influence of sampling designs on the estimation of parameter b of the length-weight relationship of C. stigmatias by using a computer simulation study. Based on the actual situation of fishery resources survey in different seasons, 15 sampling design schemes were simulated, and then the influence of different sampling designs on the estimated body length-weight relationship parameter b was compared by selecting two indexes, namely, relative estimation error and relative deviation. The results showed that the estimation accuracy of the length-weight relationship parameter can be effectively improved with the sample size increasing. The length and weight data in different seasons showed different impacts on the estimation accuracy of the parameter, and the data in summer were particularly important in improving the accuracy and precision of estimation of length-weight relationship parameter b for C. stigmatias. The precision and accuracy of parameter estimates based on the data from more seasons were usually higher than those using data in a single season. Scheme 9 (sampling in summer and winter) performed the best at the same sample size among all the fifteen sampling design schemes. The relative estimation error of parameter b of the length-weight relationship was 2.08%, and the absolute value of the relative bias was 0.71% for scheme 9 at the sample size of 540 individuals. The study indicated that enough biological data from representative seasons that have a great effect on the estimation of the parameter should be obtained when we estimate the length-weight relationship for fish populations like C. stigmatias in the Yellow River estuary. In this paper, using C. stigmatias as an example, the influence of sampling design on the estimation of length-weight relationship parameter was explored, which would provide a reference for the estimation of length-weight relationship parameter of other fish stocks.
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