Estimating biological reference points for Largehead hairtail (Trichiurus lepturus) fishery in the Yellow Sea and Bohai Sea

  • Yupeng Ji
  • Qun LiuEmail author
  • Baochao Liao
  • Qingqing Zhang
  • Ya’nan Han


It is important to find a reliable method to estimate maximum sustainable yield (MSY) or total allowable catch (TAC) for fishery management, especially when the data availability is limited which is a case in China. A recently developed method (CMSY) is a data-poor method, which requires only catch data, resilience and exploitation history at the first and final years of the catch data. CMSY was used in this study to estimate the biological reference points for Largehead hairtail (Trichiurus lepturus, Temminck and Schlegel) in the Yellow Sea and Bohai Sea, based on the fishery data from China Fishery Statistical Year Books during 1986 to 2012. Additionally, Bayesian state-space Schaefer surplus production model (BSM) and the classical surplus production models (Schaefer and Fox) performed by software CEDA and ASPIC, were also projected in this study to compare with the performance of CMSY. The estimated MSYs from all models are about 19.7×104–27.0×104 t, while CMSY and BSM yielded more reasonable population parameter estimates (the intrinsic population growth rate and the carrying capacity). The biological reference points of B/BMSY smaller than 1.0, while F/FMSY higher than 1.0 revealed an over-exploitation of the fishery, indicating that more conservative management strategies are required for Largehead hairtail fishery.

Key words

CMSY surplus production models maximum sustainable yield Yellow Sea and Bohai Sea Trichiurus lepturus 


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We thank Jiao Yan and Ma Qiuyun for their comments to improve this manuscript.


  1. Dick E J, MacCall A D. 2011. Depletion-based stock reduction analysis: a catch-based method for determining sustainable yields for data-poor fish stocks. Fisheries Research, 110(2): 331–341, doi: 10.1016/j.fishres.2011.05.007CrossRefGoogle Scholar
  2. Fishery Bureau of Agriculture Ministry, China. p1986–2012. China Fishery Statistical Yearbook. Beijing: Agriculture PressGoogle Scholar
  3. Fox W W Jr. 1970. An exponential surplus-yield model for optimizing exploited fish populations. Transactions of the American Fisheries Society, 99(1): 80–88, doi: 10.1577/1548-8659(1970)99<80: AESMFO>2.0.CO;2CrossRefGoogle Scholar
  4. Froese R, Demirel N, Coro G, et al. 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries, 18(3): 506–526, doi: 10.1111/faf.12190CrossRefGoogle Scholar
  5. Froese R, Pauly D. 2018. FishBase. World Wide Web electronic publication. [2018–06–01]Google Scholar
  6. Gayanilo F C, Sparre P, Pauly D. 2005. FAO-ICLARM Stock Assessment Tool (FiSAT II) User’s Guide. FAO Computerized Information Series (Fisheries) No. 8. Rome, Itlay: FAO, 1–168Google Scholar
  7. Haddon M. 2011. Modelling and Quantitative Methods in Fisheries. 2nd ed. London: CRC Press, 449Google Scholar
  8. Hoggarth D D, Abeyasekera S, Arthur R I, et al. 2006. Stock assessment for fishery management. A framework guide to the stock assessment tools of the fisheries management science program. FAO Fish Tech Pap 487. Rome, Italy: FAO, 261Google Scholar
  9. ICES. 2015. Report of the fifth workshop on the development of quantitative assessment methodologies based on life-history traits. In: Exploitation Characteristics and Other Relevant Parameters for Data-limited Stocks (WKLIFE V), Lisbon, Portugal, 2015Google Scholar
  10. Kenchington T J. 2015. Natural mortality estimators for informationlimited fisheries. Fish and Fisheries, 15(4): 533–562CrossRefGoogle Scholar
  11. Kimura D K, Balsinger J W, Ito D H. 1984. Generalized stock reduction analysis. Canadian Journal of Fisheries and Aquatic Sciences, 41(9): 1325–1333, doi: 10.1139/f84-162CrossRefGoogle Scholar
  12. Ling Jianzhong, Li Shengfa, Yan Liping, et al. 2008. Utilization and management of Trichiurus japonicus resources in East China Sea based on Beverton-Holt model. Chinese Journal of Applied Ecology (in Chinese), 19(1): 178–182Google Scholar
  13. Ling Jianzhong, Yan Liping, Lin Longshan, et al. 2005. Reasonable utilization of hairtail Trichiurus japonicus resource in the East China Sea based on its fecundity. Journal of Fishery Sciences of China (in Chinese), 12(6): 726–730Google Scholar
  14. MacCall A D. 2009. Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations. ICES Journal of Marine Science, 66(10): 2267–2271, doi: 10.1093/icesjms/fsp209CrossRefGoogle Scholar
  15. Martell S, Froese R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries, 14(4): 504–514, doi: 10.1111/j.1467-2979.2012.00485.xCrossRefGoogle Scholar
  16. Millar R B, Meyer R. 1999. Nonlinear state-space modeling of fisher-ies biomass dynamics using metropolis-Hastings within Gibbs sampling. Technical Report STAT9901. Auckland, New Zealand: Department of Statistics, University of Auckland, 33Google Scholar
  17. Pauly D. 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. ICES Journal of Marine Science, 39(2): 175–192, doi: 10.1093/icesjms/39.2.175CrossRefGoogle Scholar
  18. Prager M H. 2017. A stock-production model incorporating covariates and auxiliary programs, ASPIC, version 7. www.mhprager. com [2017–07–15]Google Scholar
  19. Rosenberg A A, Fogarty M J, Cooper A B, et al. 2014. Developing new approaches to global stock status assessment and fishery production potential of the seas. FAO Fisheries and Aquaculture Circular No. 1086. Rome: FAOGoogle Scholar
  20. Schaefer M B. 1991. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Bulletin of Mathematical Biology, 53(1–2): 253–279, doi: 10.1007/BF02464432CrossRefGoogle Scholar
  21. Shen Gongming, Heino M. 2014. An overview of marine fisheries management in China. Marine Policy, 44: 265–272, doi: 10.1016/j.marpol.2013.09.012CrossRefGoogle Scholar
  22. Sullivan K J. 1991. The estimation of parameters of the multispecies production model. ICES Journal of Marine Sciences, 193(1): 185–193Google Scholar
  23. Wang Yao. 2010. The resource evaluation of Trichiurus Japonicus on East China Sea in Summer Close Season (in Chinese) [dissertation]. Hangzhou: Zhejiang Ocean University, 12–17Google Scholar
  24. Wang Yun. 2012. Study on marine fishing quota system of China (in Chinese) [dissertation]. Qingdao: Ocean University of ChinaGoogle Scholar
  25. Wang Yu, Liu Qun. 2013. Application of CEDA and ASPIC computer packages to the hairtail (Trichiurus japonicus) fishery in the East China Sea. Chinese Journal of Oceanology and Limnology, 31(1): 92–96, doi: 10.1007/s00343-013-2073-7CrossRefGoogle Scholar
  26. Xu Hanxiang, Liu Zifan, Zhou Yongdong, et al. 2011. The relation between parents and recruitment of hairtail on status of summer closed fishing in East China Sea. Fishery Modernization (in Chinese), 38(1): 64–69Google Scholar
  27. Yan Liping, Hu Fen, Li Shengfa, et al. 2007. The effect of summer closed fishing and the reasonable utilization on hairtail (Trichiurus japonicus) resources in the East China Sea region. Journal of Natural Resources (in Chinese), 22(4): 606–612Google Scholar
  28. Yue Dongdong, Wang Lumin, Zhang Xun, et al. 2015. Status and reflections of the summer closed fishing in the East China Sea. Journal of Agricultural Science and Technology (in Chinese), 17(4): 122–128Google Scholar
  29. Zhang Kui, Liu Qun, Liao Baochao, et al. 2018a. Comparative effects of distorted fishery data on assessment results of two non-equilibrium surplus production models. Journal of Fisheries of China (in Chinese), 42(9): 1378–1389Google Scholar
  30. Zhang Kui, Zhang Jun, Xu Youwei, et al. 2018b. Application of a catch-based method for stock assessment of three important fisheries in the East China Sea. Acta Oceanologica Sinica, 37(2): 102–109, doi: 10.1007/s13131-018-1173-9CrossRefGoogle Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Yupeng Ji
    • 1
  • Qun Liu
    • 1
    Email author
  • Baochao Liao
    • 2
  • Qingqing Zhang
    • 1
  • Ya’nan Han
    • 1
  1. 1.Fisheries CollegeOcean University of ChinaQingdaoChina
  2. 2.Department of MathematicsShandong UniversityWeihaiChina

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