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Applying the Catch-MSY model to the stock assessment of the northwestern Pacific saury Cololabis Saira

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Abstract

The Pacific saury (Cololabis saira) is one of the major harvested species in the temperate waters of the northwestern Pacific Ocean (NPO). The Catch-MSY model uses catch data and basic life history information to estimate the Maximum Sustainable Yield (MSY) for data-limited fisheries. Since there is considerable uncertainty in the current status of the Pacific saury stock in the NPO, the Catch-MSY model was used in this study to estimate MSY on the basis of catch data and life history information from the North Pacific Fisheries Commission (NPFC). During the process, 17 scenarios, according to different prior distributions of the intrinsic rate of increase (r) and carrying capacity (K), were set for sensitivity analysis. Moreover, the influence of different catch time series and different process errors were taken into account. The results show the following: (1) there was a strong negative correlation relationship between ln(r) and ln(K); the MSY increases with an increase in the lower limit of r; (2) The time series of catch data had a limited impact on the assessment results, whereas the results of the model were sensitive to the annual catch in the first and last years; (3) The estimated MSYs of the Pacific saury were 47.37×104 t (41.57×104 t to 53.17×104 t) in scenario S1A and 47.53×104 t (41.79×104 t to 53.27×104 t) in scenario S1B. Given the uncertainty of the Catch-MSY model, maintaining a management target between 50×104 t and 70×104 t was a better management regulation. This study shows that the Catch-MSY model is a useful choice for estimating the MSY of data-limited species such as the Pacific saury.

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References

  • Alverson D L, Pereyra W T. 1969. Demersal fish explorations in the northeastern Pacific Ocean—an evaluation of exploratory fishing methods and analytical approaches to stock size and yield forecasts. Journal of Fisheries Research Board of Canada, 26(8): 1985–2001.

    Google Scholar 

  • Arnold L M, Heppel S S. 2015. Testing the robustness of data-poor assessment methods to uncertainty in catch and biology: a retrospective approach. ICES Journal of Marine Science, 72(1): 243–250.

    Google Scholar 

  • Carruthers T R, Punt A E, Walters C J, MacCall A, McAllister M K, Dick E J, Cope J. 2014. Evaluating methods for setting catch limits in data-limited fisheries. Fisheries Research, 153: 48–68.

    Google Scholar 

  • Chow S, Suzuki N, Brodeur R D, Ueno Y. 2009. Little population structuring and recent evolution of the Pacific saury (Cololabis saira) as indicated by mitochondrial and nuclear DNA sequence data. Journal of Experimental Marine Biology and Ecology, 369(1): 17–21.

    Google Scholar 

  • Chrysafi A, Kuparinen A. 2016. Assessing abundance of populations with limited data: Lessons learned from data-poor fisheries stock assessment. Environmental Reviews, 24(1): 245–250.

    Google Scholar 

  • 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.

    Google Scholar 

  • FAO. 2016. Report of the FAO/CECAF Working Group on the Assessment of Small Pelagic Fish-Subgroup South. CECAF/ECAF SERIES 12/74, FAO, Accra, Ghana.

    Google Scholar 

  • Froese R, Demirel N, Coro G, Kleisner K M, Winker H. 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries, 18(3): 506–526.

    Google Scholar 

  • Froese R, Pauly D. 2015. FishBase. World Wide Web electronic publication. www.fishbase.org. Accessed on 2015–10.

  • Froese R, Zeller D, Kleisner K, Pauly D. 2012. What catch data can tell us about the status of global fisheries. Marine Biology, 159(6): 1283–1292.

    Google Scholar 

  • Guan W J, Tang L, Zhu J F, Tian S Q, Xu L X. 2016. Application of a Bayesian method to data-poor stock assessment by using Indian Ocean albacore (Thunnus alalunga) stock assessment as an example. Acta Oceanologica Sinica, 35(2): 117–125.

    Google Scholar 

  • Guan W J, Tian S Q, Zhu J F, Chen X J. 2013. A review of fisheries stock assessment models. Journal of Fishery Sciences of China, 20(5): 1112–1120. (in Chinese with English abstract)

    Google Scholar 

  • Hua C X, Gao Y Z, Zhu Q C, Zhou Y F, Li S S. 2017. Age and growth of Pacific saury (Cololabis saira) in the northwest Pacific Ocean Based on statolith microstruture. Acta Oceanologica Sinica, 39(10): 46–53. (in Chinese with English abstract)

    Google Scholar 

  • Hua C X, Zhu Q C, Xu W. 2010. Fishing ground distribution of cololabis saira in the Northwestern Pacific. Shandong Fisheries, 27(10): 10–13. (in Chinese with English abstract)

    Google Scholar 

  • Ito S, Kishi J M, Kurita Y, Oozeki Y, Yamanaka Y, Megrey B A, Werner F E. 2004. Initial design for a fish bioenergetics model of Pacific saury coupled to a lower trophic ecosystem model. Fisheries Oceanography, 13(S1): 111–124.

    Google Scholar 

  • Iwahashi M, Isoda Y, Ito S, Oozeki Y, Suyama S. 2006. Estimation of seasonal spawning ground locations and ambient sea surface temperatures for eggs and larvae of Pacific saury (Cololabis saira) in the western North Pacific. Fisheries Oceanography, 15(2): 125–138.

    Google Scholar 

  • Jiao Y, Cortés E, Andrews K, Guo F. 2011. Poor-data and data-poor species stock assessment using a Bayesian hierarchical approach. Journal of Applied Ecology, 21(7): 2691–2708.

    Google Scholar 

  • Li G, Chen X J, Guan W J. 2010. Stock assessment and risk analysis of management strategies for Scomber japonicus in the East China Sea and Yellow Sea using a Bayesian approach. Journal of Fisheries of China, 34(5): 740–750. (in Chinese with English abstract)

    Google Scholar 

  • 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.

    Google Scholar 

  • Magnusson A, Hilborn R. 2007. What makes fisheries data informative?. Fish and Fisheries, 8(4): 337–358.

    Google Scholar 

  • Martell S, Froese R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries, 14(4): 504–514.

    Google Scholar 

  • Nakaya M, Morioka T, Fukunaga K et al. 2010. Growth and maturation of Pacific saury Cololabis saira under laboratory conditions. Fisheries Science, 76(1): 45–53.

    Google Scholar 

  • North Pacific Fisheries Commission. 2018. NPFC Yearbook 2017. 385p. Available at www.npfc.int

  • NPFC PSWG. 2017. Report of the 1st Meeting of the Technical Working Group on Pacific Saury Stock Assessment. NPFC-2017-TWG PSSA01-Final Report. NPFC, Shanghai, China. p.43–74.

    Google Scholar 

  • Punt A E, Hilborn R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach[J]. Reviews in Fish Biology and Fisheries, 7(1): 35–63.

    Google Scholar 

  • Punt A E, Smith D C, Smith A D M. 2011. Among-stock comparisons for improving stock assessments of data-poor stocks: the “Robin Hood” approach. ICES Journal of Marine Science, 68(5): 972–981.

    Google Scholar 

  • Punt A E. 2011. Extending production models to include process error in the population dynamics[J]. Canadian Journal of Fisheries and Aquatic Sciences, 60(10): 1217–1228.

    Google Scholar 

  • Restrepo V R, Thompson G G, Mace P M, Gabriel W L, Low L L, MacCall A D, Methot R D, Power J E, Taylor B L, Wade P R, Witzig J F. 1998. Technical Guidance on the Use of Precautionary Approaches to Implementing National Standard 1 of the Magnuson-Stevens Fishery Conservation and Management Act. US Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Seattle. 1998.

    Google Scholar 

  • Sakurai Y, Kiyofuji H, Saitoh S, Goto T, Hiyama Y. 2000. Changes in inferred spawning areas of Todarodes pacificus (Cephalopoda: Ommastrephidae) due to changing environmental conditions. ICES Journal of Marine Science, 57(1): 24–30.

    Google Scholar 

  • 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.

    Google Scholar 

  • Shi Y C, Zhu Q C, Hua C X, Zhang Y D, Hua C X, Zhou W B. 2016. Factors influencing the rope tension of saury stick-held lift nets. Journal of Fishery Sciences of China, 23(3): 704–712. (in Chinese with English abstract)

    Google Scholar 

  • Shi Y C, Zhu Q C, Hua C X, Zhang Y D. 2018. Sinking and rising performance of saury stick-held based on field measurements. Marine Science Bulletin, 37(4): 459–467. (in Chinese with English abstract)

    Google Scholar 

  • Shi Y C, Zhu Q C, Huang S L, Hua C X. 2019. Stock assessment of pacific suary (Cololabis Saira) in the northwest pacific using a bayesian schaefer model[J]. Progress in Fishery Sciences, 40(5): 1–10, https://doi.org/10.19663/j.issn2095-9869.20180611001. (in Chinese with English abstract)

    Google Scholar 

  • Sun M C, Ye X C, Zhang J, Qian W G. 2003. Probe into Pacific saury fisheries in the northwest Pacific Ocean. Marine Fisheries, 25(3): 112–115. (in Chinese with English abstract)

    Google Scholar 

  • Suyama S, Nakagami M, Naya M, Ueno Y. 2012. Migration route of Pacific saury Cololabis saira inferred from the otolith hyaline zone. Fisheries Science, 78(6): 1179–1186.

    Google Scholar 

  • Suyama S. 2002. Study on the age, growth, and muturation process of Pacific saury Cololabis saira (Brevoort) in the North Pacific. Bulletin of Fisheries Research Agency, 5: 68–113.

    Google Scholar 

  • Tian Y J, Akamine T, Suda M. 2003. Variations in the abundance of Pacific saury (Cololabis saira) from the northwestern Pacific in relation to oceanic-climate changes. Fisheries Research, 60(2/3): 439–454.

    Google Scholar 

  • Tian Y J, Akamine T, Suda M. 2004. Modeling the influence of oceanic-climatic changes on the dynamics of Pacific saury in the northwestern Pacific using a life cycle model. Fisheries Oceanography, 13(S1): 125–137.

    Google Scholar 

  • Tian Y J, Ueno Y, Sud M, Akamine T. 2002. Climate-ocean variability and the response of Pacific saury (Cololabis saira) in the northwestern Pacific during the last half century. Fisheries Science, 68(S1): 158–161.

    Google Scholar 

  • Tseng C T, Su N J, Sun C L, Punt A E, Yeh S Z, Liu D C, Su W Cet al. 2013. Spatial and temporal variability of the Pacific saury (Cololabis saira) distribution in the northwestern Pacific Ocean. ICES Journal of Marine Science, 70(5): 991–999.

    Google Scholar 

  • Wang J T, Yu W, Chen X, Chen Y. 2016. Stock assessment for the western winter-spring cohort of neon flying squid (Ommastrephes bartramii) using environmentally dependent surplus production models. Scientia Marina, 80(1): 69–78.

    Google Scholar 

  • Wetzel C R, Punt A E. 2011. Model performance for the determination of appropriate harvest levels in the case of data-poor stocks. Fisheries Research, 110(2): 342–355.

    Google Scholar 

  • Xia H. 2008. The Illumination Distribution Model of the Pacific Saury (Cololabis saira) Stick-held Dip Net Fishing. Shanghai Ocean University, Shanghai. p.1–54. (in Chinese with English abstract)

    Google Scholar 

  • Yang X L, Wang P F, Jiao Y L, Zhou Q L, Li H D, Li Y C, Liu G, Zhang H G. 2005. Study on the culture technique in the middle stage and the growing character of Apostichopus japonicus. Shandong Fishery, 22(10): 43–46. (in Chinese with English abstract)

    Google Scholar 

  • Yu Y F, Zhang X, Huang H L, Xu B S, Wang M Y. 2006. Study on attracting fish method of stick-held net for Cololabis saira. Journal of Zhejiang Ocean University: Natural Science, 25(2): 154–156. (in Chinese with English abstract)

    Google Scholar 

  • Zavolokin A. 2018. Priority species. NPFC. https://www.npfc.int/priority-species. Accessed on 2018-06-09.

  • Zhang K, Zhang J, Xu Y W, Sun M S, Chen Z Z, Yuan M. 2018. 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.

    Google Scholar 

  • Zhang Y, Zhu Q C, Yan L, Shang L L. 2013. Preliminary Study on Biological Characteristics of Cololabis Saira in the Northwest Pacific Ocean in Spring. Transactions of Oceanology and Limnology, (1): 53–60. (in Chinese with English abstract)

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Acknowledgement

We thank all the reviewers for their valuable comments and advice. Thanks are also given to other laboratory colleagues for field and laboratory work assistance.

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Correspondence to Chuanxiang Hua.

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The authors declare that they have no conflict of interest.

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

The datasets created during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Supported by the National Sci-Tech Support Plan “Fishing Technology and New Resources in Oceanic Fisheries” (No. 2013BAD13B05)

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Shi, Y., Hua, C., Zhu, Q. et al. Applying the Catch-MSY model to the stock assessment of the northwestern Pacific saury Cololabis Saira. J. Ocean. Limnol. 38, 1945–1955 (2020). https://doi.org/10.1007/s00343-019-9156-z

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