A Pilot Study on the Application of Acoustic Data Collected from a Korean Purse Seine Fishing Vessel for the Chub Mackerel

  • Myounghee Kang
  • Bo-Kyu Hwang
  • Hyun-Su Jo
  • Hui Zhang
  • Jae-Bong LeeEmail author


This paper describes the first use of acoustic data collected during normal fishing operations from a South Korean commercial fishing vessel. Acoustic data (120 kHz) were collected from a purse seine fishing vessel while targeting chub mackerel (Scomber japonicus) between 13 September and 7 October 2014 in the southern West Sea and near Jeju Island. Acoustic backscatter data from 21 fishing events were used to delineate fish school characteristics and to estimate the chub mackerel biomass which was compared with the catch. With regard to the fish school description, the volume back scattering strength (SV) and thickness of the fish schools presented differently. The average and standard deviation of SV was −47.3 ± 2.1 dB. The fish lengths varied greatly and some schools were inordinately long (average and standard deviation length of 137.0 ± 329.6 m). The fish school area largely altered. The average distributional depth and the distance between fish school and sea bottom were 31.8 m and 42.7 m, respectively, indicating that the fish schools attracted by light were mainly located close to the water surface. On average, the chub mackerel biomass was 1.7 times larger than the catch. The correlation between the chub mackerel biomass and the catch was low positive (r = 0.3, p < 0.05). This paper presented that available echo sounders installed fishing vessels can be used for helping in the chub mackerel resources management in South Korea.


Commercial fishing vessel Echosounder Chub mackerel Biomass Fish schools 



This work was supported by a grant from the National Institute of Fisheries Science (R2018024) and under the framework of international cooperation program managed by the National Research Foundation of Korea (2017K2A9A2A06015027, FY2017). We would like to thank Dr. Steven Barbeaux for his contribution to this work in helping to develop cooperative research in Korean fisheries, as well as, the US/ROK Joint Partnership Fisheries Panel for partially funding this work. We thank staff and crew of the “71 Kumyoung” and the Kumyoung Fishing Company for cooperate with us to record acoustic data. Also, we are very grateful to Mr. Jongkwan Hong from Simrad Korea for assistance in collecting data during the calibration trials and for providing useful information for this study.


  1. Barbeaux SJ, Horne JK, Dorn MW (2013) Characterizing walleye pollock (Theragra chalcogramma) winter distribution from opportunistic acoustic data. ICES J Mar Sci 70:1162–1173CrossRefGoogle Scholar
  2. Barbeaux SJ, Horne JK, Ianellia JN (2014) A novel approach for estimating location and scale specific fishing exploitation rates of eastern Bering Sea walleye Pollock (Theragra chalcogramma). Fish Res 153:1162–1173CrossRefGoogle Scholar
  3. Cho JH, Hong SG, Oh ST, Jung MS, Lee SM (2001) Optimal exploitation of mackerel stocks in Korea: An application of bioeconomic model. Research report of Korea Maritime Institute:1–118 (in Korean)Google Scholar
  4. Cho KD, Hong CH, Kim YM (1984) The relationship between the fishing grounds and oceanographic condition associated with fluctuation of mackerels catches in the East China Sea. Bull Korean Fish Soc 20:83–90 (in Korean with English abstract)Google Scholar
  5. Choi YM, Zhang CI, Kim YS, Baik CM, Park YC (2004) Ecological characteristics and biomass of chub mackerel, scomber japonicas houttuyn in Korean waters. J Kor Soc Fish Res 6:79–89 (in Korean with English abstract)Google Scholar
  6. Coetzee J (2000) Use of a shoal analysis and patch estimation system (SHAPES) to characterise sardine schools. Aquat Living Resour 13:1–10CrossRefGoogle Scholar
  7. Echoview (2015) Echoview 6.1.16 Help file. Echoview Software Pty Ltd., Hobart, Tasmania, Australia. Google Scholar
  8. FAO (2007) Fishery and Aquaculture Statistics. In: FAO year book, RomeGoogle Scholar
  9. FAO (2012) Fishery and Aquaculture Statistics. In: FAO year book, RomeGoogle Scholar
  10. FAO (2016) Fishery and Aquaculture Statistics. In: FAO year book, RomeGoogle Scholar
  11. Foote KG, Knudsen HP, Vestnes G, MacLennan DN, Simmonds EJ (1987) Calibration of acoustic instruments for fish density estimation: a practical guide. ICES Coop Res Rep 144:69Google Scholar
  12. Hwang SD, Baik CI, Park JH, Choi KH (2001) Seasonal and annual variations of catch by large purse seine off Korea. J Kor Soc Oceanogr 6:164–179 (in Korean with English abstract)Google Scholar
  13. ICES (2007) Collection of acoustic data from fishing vessels. ICES Coop Res Rep 287Google Scholar
  14. ICES (2017) Report of the working group on widely distributed stocks (WGWIDE). ICES CM 2017Google Scholar
  15. Inada H, Arimoto T, Nagashima N, Iida K (2010) Light fishing: re-innovation of technology and management. Kouseisha Kouseikaku Co, The Japanese society of fisheries science, Japan 163 PP (in Japanese)Google Scholar
  16. Ishida Y, Funamoto T, Honda S, Yabuki K, Nishida H, Watanabe C (2009) Management of declining Japanese sardine, chub mackerel and walleye pollock fisheries in Japan. Fish Res 100:68–77CrossRefGoogle Scholar
  17. Karp WA (2007) Collection of acoustic data from fishing vessels. ICES Coop Res Rep 287:83Google Scholar
  18. Lee DJ, Shin IH (2005) Construction of a data bank for acoustic target strength with fish species, length and acoustic frequency for measuring fish size distribution. J Korean Fish Soc 38:265–275 (in Korean with English abstract)Google Scholar
  19. Lee HN (2009) Catch and oceanographic characteristics for large purse seine fisheries. Pukyoung National University, Busan, Korea, MS Thesis (in Korean with English abstract)Google Scholar
  20. Lee HN, Kim HS (2011) Variation of fisheries conditions of mackerel (Scomber japonicus) fishing ground for large purse seine fisheries. J Kor Soc Fish Technol 47:108–117 (in Korean with English abstract)CrossRefGoogle Scholar
  21. Maclennan DN, Fernandes PG, Dalen J (2002) A consistent approach to definitions and symbols in fisheries acoustics. ICES J Mar Sci 59:365–369CrossRefGoogle Scholar
  22. MEIS (2015) The marine environment information system
  23. Nøttestad L, Utne KR, Óskarsson GJ, Jónsson SP, Jacobsen JA, Tangen Ø, Anthonypillai V, Aanes S, Vølstad JH, Bernasconi M, Debes H, Smith L, Sveinbjörnsson S, Holst JC, Jansen T, Slotte A (2016) Quantifying changes in abundance, biomass, and spatial distribution of Northeast Atlantic mackerel (Scomber scombrus) in the Nordic seas from 2007 to 2014. ICES J Mar Sci 73:359–373CrossRefGoogle Scholar
  24. O’Driscoll RL, Macaulay G (2005) Using fish processing time to carry out acoustic surveys from commercial vessels. ICES J Mar Sci 62:295–305CrossRefGoogle Scholar
  25. Oh HJ, Suh YS (2006) Temporal and spatial characteristics of chlorophyll a distributions related to the oceanographic conditions in the Korean waters. J Korean Assoc Geogr Inf Stud 9:36–45 (in Korean with English abstract)Google Scholar
  26. Ryan TE, Downie RA, Kloser RJ, Keith G (2015) Reducing bias due to noise and attenuation in open-ocean echo integration. ICES J Mar Sci 72:2482–2493CrossRefGoogle Scholar
  27. Ryan T, Kang M (2005) Biomass estimation of eastern zone orange roughy based on winter 2004 industry acoustic surveys. CSIRO Report to the Deepwater Assessment Group 1–42Google Scholar
  28. Ryan TE, Kloser RJ (2004) Quantification and correction of a systematic error in Simrad ES60 echosounders. In: Working group on fisheries acoustic science and technology. Gydnia, PolandGoogle Scholar
  29. Simmonds EJ, MacLennan DN (2005) Fisheries Acoustics: theory and Practice, 2nd edn. Blackwell Science, Oxford, UK, p 437CrossRefGoogle Scholar
  30. Statistics Korea (2018) Korea statistical information service. Republic of Korea, Statistics Korea Fishery Production Survey (in Korean)Google Scholar
  31. Tanoue W (2015) Japan’s total allowable catch systems in fishery resource management. A thesis of master degree, University of Washington 1–128Google Scholar
  32. Watanabe C, Nishida H (2002) Development of assessment techniques for pelagic fish stocks: applications of daily egg production method and pelagic trawl in the Northwestern Pacific Ocean. Fish Sci 68(Suppl. 1):97–100CrossRefGoogle Scholar
  33. Yang YJ, Kim SH, Rho HK (1998) A study on the temperature fronts observed in the South-West of Korea and northern area of the East China Sea. J Korean Fish Soc 31:695–706 (in Korean with English abstract)Google Scholar
  34. Yang JY, Kim SH, Rho HK, Jeong DG (1999) Relationship between SST fronts and purse-seine fishing grounds in the South-West sea of Korea and the northern area of East China Sea. J Korean Fish Soc 32:618–623 (in Korean with English abstract)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Myounghee Kang
    • 1
  • Bo-Kyu Hwang
    • 2
  • Hyun-Su Jo
    • 2
  • Hui Zhang
    • 3
  • Jae-Bong Lee
    • 4
    Email author
  1. 1.Department of Maritime Police and Production System/ The Institute of Marine IndustryGyeongsang National UniversityGyeongsangnam-doSouth Korea
  2. 2.Marine Production System Major, School of Marine Industry Transportation Science and TechnologyKunsan National UniversityGunsan-siSouth Korea
  3. 3.Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture of China; Yangtze River Fisheries Research InstituteChinese Academy of Fishery SciencesWuhanPeople’s Republic of China
  4. 4.Costal Water Fisheries Resources Research DivisionNational Institute of Fisheries ScienceBusanSouth Korea

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