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Age, growth, and mortality rate of the yellow goosefish Lophius litulon (Jordan, 1902) in the Yellow Sea

  • Aquaculture and Fisheries
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Abstract

With the decline in the most fisheries resources in the Yellow Sea, the yellow goosefish Lophius litulon has increased in commercial and ecological importance in recent years. We studied the length distribution, length-weight relationship, age composition, growth pattern, mortality, and exploitation rates of the yellow goosefish in the Yellow Sea. Total length (TL) of females and males ranged from 173 to 582 mm and 178 to 500 mm, respectively. The length-weight relationships were also estimated for females and males. Age classes from 2 to 4 years predominated in the samples. The von Bertalanffy growth function (VBGF), estimated based on non-linear least-squares methodology, showed significant differences between sexes. Females attained a greater estimated asymptotic total length (765 mm TL) compared to males (579 mm TL). The VBGF did not differ significantly between stocks of the northern Yellow Sea and the southern Yellow Sea. Estimated natural instantaneous mortality rate (M) ranged from 0.25/a to 0.33/a based on four age- and length-based methods. Total instantaneous mortality rate (Z) of total samples calculated by the age-based catch curve method was 0.591/a and the average fishing mortality (F) was 0.30/a. Estimated exploitation rate (E) was approximately 0.5, indicating that the population of L. litulon in the Yellow Sea may be sustainable. These results provide a reference for the present status of L. litulon and information for the management.

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Data Availability Statement

The data generated or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Begg G A, Hare J A, Sheehan D D. 1999. The role of life history parameters as indicators of stock structure. Fisheries Research, 43(1–3): 141–163, https://doi.org/10.1016/s0165-7836(99)00071-5.

    Article  Google Scholar 

  • Beverton R J H, Holt S J. 1957. On the Dynamics of Exploited Fish Populations. Her Majestys Stationery Office, London. p. 1–533.

    Google Scholar 

  • Campana S E. 2001. Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. Journal of Fish Biology, 59(2): 197–242, https://doi.org/10.1111/j.1095-8649.2001.tb00127.x.

    Article  Google Scholar 

  • Chen G B, Li Y Z, Chen P M, Shu L M. 2008. Optimum interval class size of length-frequency analysis of fish. Journal of Fishery Sciences of China, 15(4): 659–666. (in Chinese with English abstract)

    Google Scholar 

  • Chen Y, Jackson D A, Harvey H H. 1992. A comparison of von Bertalanffy and polynomial functions in modelling fish growth data. Canadian Journal of Fisheries and Aquatic Sciences, 49(6): 1 228–1 235, https://doi.org/10.1139/f92-138.

    Article  Google Scholar 

  • Fariña A C, Azevedo M, Landa J, Duarte R, Sampedro P, Costas G, Torres M A, Cañás L. 2008. Lophius in the world: a synthesis on the common features and life strategies. ICES Journal of Marine Science, 65(7): 1 272–1 280, https://doi.org/10.1093/icesjms/fsn140.

    Article  Google Scholar 

  • Froese R, Thorson J T, Reyes Jr R B. 2014. A Bayesian approach for estimating length-weight relationships in fishes. Journal of Applied Ichthyology, 30(1): 78–85, https://doi.org/10.1111/jai.12299.

    Article  Google Scholar 

  • Froese R, Tsikliras A C, Stergiou K I. 2011. Editorial note on weight-length relations of fishes. Acta Ichthyologica et Piscatoria, 41(4): 261–263, https://doi.org/10.3750/aip2011.41.4.01.

    Article  Google Scholar 

  • Froese R. 2006. Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations. Journal of Applied Ichthyology, 22(4): 241–253, https://doi.org/10.1111/j.1439-0426.2006.00805.x.

    Article  Google Scholar 

  • Gray C A, Barnes L M, Robbins W D, Van Der Meulen D E, Ochwada-Doyle F A, Kendall B W. 2017. Length- and age-based demographics of exploited populations of stout whiting, Sillago robusta Stead, 1908. Journal of Applied Ichthyology, 33(6): 1 073–1 082, https://doi.org/10.1111/jai.13464.

    Article  Google Scholar 

  • Haddon M. 2015. Modelling and Quantitative Methods in Fisheries. Chen P M, Qin C X, Yuan H R, Jia X Y, Zhou W L, trans. 2nd edn. Ocean Press, Beijing, China. 367p. (in Chinese)

  • Hewitt D A, Hoenig J M. 2005. Comparison of two approaches for estimating natural mortality based on longevity. Fishery Bulletin, 103(2): 433–437.

    Google Scholar 

  • Hilborn R, Walters C J. 1992. Quantitative Fisheries Stock Assessment: Choice, Dynamics & Uncertainty. Springer, Boston, MA. 570p.

    Book  Google Scholar 

  • Hoenig J M. 1983. Empirical use of longevity data to estimate mortality rates. Fishery Bulletin, 82(1): 898–903.

    Google Scholar 

  • Jin X S, Tang Q S. 1996. Changes in fish species diversity and dominant species composition in the Yellow Sea. Fisheries Research, 26(3–4): 337–352, https://doi.org/10.1016/0165-7836(95)00422-X.

    Article  Google Scholar 

  • Jin X S, Zhang B, Xue Y. 2010. The response of the diets of four carnivorous fishes to variations in the Yellow Sea ecosystem. Deep Sea Research Part II: Topical Studies in Oceanography, 57(11–12): 996–1 000, https://doi.org/10.1016/j.dsr2.2010.02.001.

    Article  Google Scholar 

  • Le Cren E D. 1951. The length-weight relationship and seasonal cycle in gonad weight and condition in the perch (Perca fluviatilis). Journal of Animal Ecology, 20(2): 201–219.

    Article  Google Scholar 

  • Li Z L, Jin X S, Shan X J, Dai F Q. 2011. Inter-annual changes on body weight-length relationship and relative fatness of small yellow croaker (Larimichthys polyactis). Journal of Fishery Sciences of China, 18(3): 602–610, https://doi.org/10.3724/SP.J.1118.2011.00602. (in Chinese with English abstract)

    Article  Google Scholar 

  • Li Z L, Shan X J, Jin X S, Dai F Q, Lu H S. 2015. Interannual variations in the biological characteristics, distribution and stock density of anglerfish Lophius litulon in the central and southern Yellow Sea. Acta Ecologica Sinica, 35(12): 4 007–4 015, https://doi.org/10.5846/stxb201310262585. (in Chinese with English abstract)

    Google Scholar 

  • Li Z L. 2011. Interannual Changes in Biological Characteristics of Small Yellow Croaker Larimichthys polyactis, Pacific Cod Gadus macrocephalus and Anglerfish Lophius litulon in the Bohai Sea and Yellow Sea. The Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China. p. 1–117. (in Chinese with English abstract)

    Google Scholar 

  • Link J S, Nye J A, Hare J A. 2011. Guidelines for incorporating fish distribution shifts into a fisheries management context. Fish and Fisheries, 12(4): 461–469, https://doi.org/10.1111/j.1467-2979.2010.00398.x.

    Article  Google Scholar 

  • Lloret J, De Sola L G, Souplet A, Galzin R. 2002. Effects of large-scale habitat variability on condition of demersal exploited fish in the North-western Mediterranean. ICES Journal of Marine Science, 59(6): 1 215–1 227, https://doi.org/10.1006/jmsc.2002.1294.

    Article  Google Scholar 

  • Ma S Y, Liu Y, Li J C, Fu C H, Ye Z J, Sun P, Yu H Q, Cheng J H, Tian Y J. 2019. Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea. Progress in Oceanography, 175: 183–197, https://doi.org/10.1016/j.pocean.2019.04.008.

    Article  Google Scholar 

  • Pang Y M, Tian Y J, Fu C H, Wang B, Li J C, Ren Y P, Wan R. 2018. Variability of coastal cephalopods in overexploited China Seas under climate change with implications on fisheries management. Fisheries Research, 208: 22–33, https://doi.org/10.1016/j.fishres.2018.07.004.

    Article  Google Scholar 

  • Park K A, Lee E Y, Chang E, Hong S. 2015. Spatial and temporal variability of sea surface temperature and warming trends in the Yellow Sea. Journal of Marine Systems, 143: 24–38, https://doi.org/10.1016/j.jmarsys.2014.10.013.

    Article  Google Scholar 

  • Park S, Chu P C, Lee J H. 2011. Interannual-to-interdecadal variability of the Yellow Sea Cold Water Mass in 1967–2008: characteristics and seasonal forcings. Journal of Marine Systems, 87(3–4): 177–193, https://doi.org/10.1016/j.jmarsys.2011.03.012.

    Article  Google Scholar 

  • Patterson K. 1992. Fisheries for small pelagic species: an empirical approach to management targets. Reviews in Fish Biology and Fisheries, 2(4): 321–338, https://doi.org/10.1007/BF00043521.

    Article  Google Scholar 

  • 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, https://doi.org/10.1093/icesjms/39.2.175.

    Article  Google Scholar 

  • Quinn II T J, Deriso R B. 1999. Quantitative Fish Dynamics. Oxford University Press, Oxford. 542p.

    Google Scholar 

  • Rätz H J, Lloret J. 2003. Variation in fish condition between Atlantic cod (Gadus morhua) stocks, the effect on their productivity and management implications. Fisheries Research, 60(2–3): 369–380, https://doi.org/10.1016/S0165-7836(02)00132-7.

    Article  Google Scholar 

  • Ricker W E. 1975. Computation and interpretation ofbiological statistics of fish populations. Bulletin of the Fisheries Research Board of Canada, 191: 1–382.

    Google Scholar 

  • Romo-Curiel A E, Herzka S Z, Sosa-Nishizaki O, Sepulveda C A, Aalbers S A. 2015. Otolith-based growth estimates and insights into population structure of White Seabass, Atractoscion nobilis, off the Pacific coast of North America. Fisheries Research, 161: 374–383, https://doi.org/10.1016/j.fishres.2014.09.004.

    Article  Google Scholar 

  • Russell E S. 1942. The Overfishing Problem. Cambridge University Press, Cambridge. 130p.

    Google Scholar 

  • Stevenson R D, Woods Jr W A. 2006. Condition indices for conservation: new uses for evolving tools. Integrative and Comparative Biology, 46(6): 1 169–1 190.

    Article  Google Scholar 

  • Sun G W, Shen J Z, Hu S D, Gong C, Wang H S, Huang D. 2013. Age, growth and mortality of Pseudobrama simoni (Bleeker) in Tian-e-zhou Oxbow of the Yangtze River. Freshwater Fisheries, 43(4): 29–34, https://doi.org/10.3969/j.issn.1000-6907.2013.04.006. (in Chinese with English abstract)

    Google Scholar 

  • Takeya Y, Takatsu T, Yamanaka T, Shibata Y, Nakaya M. 2017. Use of the illicium for age determination and verification of yellow goosefish Lophius litulon off Aomori Prefecture, northern Japan. Nippon Suisan Gakkaishi, 83(1): 9–17, https://doi.org/10.2331/suisan.16-00041. (in Japanese with English abstract)

    Article  Google Scholar 

  • Vila-Gispert A, Moreno-Amich R. 2001. Fish condition analysis by a weighted least squares procedure: testing geographical differences of an endangered Iberian cyprinodontid. Journal of Fish Biology, 58(6): 1 658–1 666, https://doi.org/10.1111/j.1095-8649.2001.tb02320.x.

    Article  Google Scholar 

  • Von Bertalanffy L. 1938. A quantitative theory of organic growth (inquiries on growth laws. II). Human Biology, 10(2): 181–213.

    Google Scholar 

  • Wei Q S, Li X S, Wang B D, Fu M Z, Ge R F, Yu Z G. 2016. Seasonally chemical hydrology and ecological responses in frontal zone of the central southern Yellow Sea. Journal of Sea Research, 112: 1–12, https://doi.org/10.1016/j.seares.2016.02.004.

    Article  Google Scholar 

  • Xu B D, Jin X S. 2005. Variations in fish community structure during winter in the southern Yellow Sea over the period 1985–2002. Fisheries Research, 71(1): 79–91, https://doi.org/10.1016/j.fishres.2004.07.011.

    Article  Google Scholar 

  • Xu K D, He Z T, Li P F, Xue L J, Zhu W B. 2010. Age and growth of Lophius litulon in North of the East China Sea and south of the Yellow Sea. Progress in Fishery Sciences, 31(6): 9–14, https://doi.org/10.3969/jissn.1000-7075.2010.06.002. (in Chinese with English abstract)

    Google Scholar 

  • Yamada U, Tokimura M, Horikawa H, Nakabo T. 2007. Fishes and fisheries of the East China and Yellow Seas. Tokai University Press, Kanagawa, Japan. (in Japanese)

    Google Scholar 

  • Yamada U. 1986. Lophiomus setigerus and Lophius litulon. In: Yamada U, Tagawa M, Kishida S, Honjo K eds. Fishes of the East China Sea and the Yellow Sea. Seikai Regional Fisheries Research Laboratory, Nagasaki, p.106–109. (in Japanese)

    Google Scholar 

  • Yoneda M, Tokimura M, Fujita H, Takeshita N, Takeshita K, Matsuyama M, Matsuura S. 2001. Reproductive cycle, fecundity, and seasonal distribution of the anglerfish Lophius litulon in the East China and Yellow seas. Fishery Bulletin, 99(2): 356–370.

    Google Scholar 

  • Yoneda M, Tokimura M, Fujita H, Takeshita N, Takeshita K, Matsuyama M, Matsuura S. 1997. Age and Growth of anglerfish Lophius litulon in the East China Sea and the Yellow Sea. Fisheries Science, 63(6): 887–892.

    Article  Google Scholar 

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Acknowledgment

We thank the investigators who participated in the seasonal bottom trawl survey.

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Author notes

  1. SUN Yu and ZHANG Chi contributed equally to this work and should be regarded as co-first authors.

Authors and Affiliations

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

    Yu Sun, Chi Zhang, Yongjun Tian & Yoshiro Watanabe

  2. Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology, Qingdao, 266003, China

    Yongjun Tian

  3. Atmosphere and Ocean Research Institute, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8564, Japan

    Yoshiro Watanabe

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  1. Yu Sun
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Correspondence to Yongjun Tian.

Additional information

Supported by the National Key R&D Program of China (No. 2018YFD0900902)

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Sun, Y., Zhang, C., Tian, Y. et al. Age, growth, and mortality rate of the yellow goosefish Lophius litulon (Jordan, 1902) in the Yellow Sea. J. Ocean. Limnol. 39, 732–740 (2021). https://doi.org/10.1007/s00343-019-9216-4

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