Fisheries and Aquatic Sciences

The Korean Society of Fisheries and Aquatic Science (한국수산과학회)
권호 표지
DOI QR코드

DOI QR Code

Density estimation of euphausiids and copepods by using a multi-frequency method

  • Woo Seok Oh (Institute of Low-Carbon Marine Production Technology, Pukyoung National University) ;
  • Geun Chang Park (Department of Fisheries Physics, Pukyong National University) ;
  • Jung-Hwa Choi (Dokdo Fisheries Research Center, National Institute of Fisheires Science) ;
  • Hyoung Been Lee (Fisheries Resources Research Center, National Institute of Fisheries Science) ;
  • Kyounghoon Lee (Division of Marine Production System Management, Pukyong National University)
  • Received : 2023.07.18
  • Accepted : 2023.09.11
  • Published : 2023.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study used a multi-frequency acoustic method to assess the density and spatial distribution of dominant zooplankton, euphausiids and copepods, which are representative species of the zooplankton immigrating the sea around Republic of Korea. Acoustic surveys were carried out in the East Sea and South Sea from June 16 to 29, 2017, using the research vessel Tamgu 20th from the National Institute of Fisheries Science. From the results of the acoustic survey, the distribution of euphausiids was relatively higher in the East Sea than in the South Sea. Additionally, although the distribution of copepods was low in all areas, they were abundant in certain areas in the East Sea and the southern area of the Jeju Sea. Euphausiid and copepod density was estimated to be 1.2 g/m2 (CV = 19.1%) and 2.8 g/m2 (CV = 23.5%), respectively.

Keywords

Acknowledgement

This research were funded by grant from National Institute of Fisheries Science, Korea (2023001) and was partially supported the project titled "Development of AI Based Smart Fisheries Management System (No. 20210499)" funded by the Ministry of Oceans and Fisheries, Korea. We are grateful to two anonymous reviews for helpful improving this paper.

References

  1. Cox MJ, Watkins JL, Reid K, Brierley AS. Spatial and temporal variability in the structure of aggregations of Antarctic krill (Euphausia superba) around South Georgia, 1997-1999. ICES J Mar Sci J Conseil. 2011;68:489-98.  https://doi.org/10.1093/icesjms/fsq202
  2. De Robertis A, Higginbottom I. A post-processing technique to estimate the signal-to-noise ratio and remove echosounder background noise. ICES J Mar Sci J Conseil. 2007;64:1282-91.  https://doi.org/10.1093/icesjms/fsm112
  3. Echoview. About echoview [Internet]. 2018. https://www.echoview.com/
  4. Fielding S, Watkins JL, Trathan PN, Enderlein P, Waluda CM, Stowasser G, et al. Interannual variability in Antarctic Krill (Euphausia superba) density at South Georgia, Southern Ocean: 1997-2013. ICES J Mar Sci J Conseil. 2014;71:2578-88.  https://doi.org/10.1093/icesjms/fsu104
  5. Gomez-Gutierrez J, Peterson WT, Miller CB. Cross-shelf lifestage segregation and community structure of the euphausiids off central Oregon (1970-1972). Deep Sea Res II Top Stud Oceanogr. 2005;52:289-315.  https://doi.org/10.1016/j.dsr2.2004.09.023
  6. Han I, Oh W, Yoon EA, Suh Y, Lee K, Shin H. The relationship between fish and zooplankton in south-western region of the East Sea using hydroacoustics. J Korean Soc Fish Ocean Technol. 2017;53:376-85.  https://doi.org/10.3796/KSFT.2017.53.4.376
  7. Kang M, Furusawa M, Miyashita K. Effective and accurate use of difference in mean volume backscattering strength to identify fish and plankton. ICES J Mar Sci J Conseil. 2002;59:794-804.  https://doi.org/10.1006/jmsc.2002.1229
  8. Kang M. Acoustic method for discriminating plankton from fish in Lake Dom Helvecio of Brazil using a time varied threshold. J Korean Soc Fish Ocean Technol. 2012;48:495-503.  https://doi.org/10.3796/KSFT.2012.48.4.495
  9. Kang BJ, Kim HJ, Oh WS, Lee K. Comparison of noise processing for improving acoustic data accuracy. CNU J Fish Technol. 2019;12:14-8.  https://doi.org/10.15399/jfti.2019.02.12.1.14
  10. Kobari T, Tadokoro K, Shiomoto A, Hashimoto S. Geographical variations in prosome length and body weight of neocalanus copepods in the North Pacific. J Oceanogr. 2003;59:3-10.  https://doi.org/10.1023/A:1022895802468
  11. Kim P, Han I, Oh W, Choi YM, Yoon S, Lee H, et al. Biomass estimate of euphausiids Euphausia sp. using the two-frequency difference method. Korean J Fish Aquat Sci. 2018;51:305-12. 
  12. Lawson GL, Wiebe PH, Stanton TK, Ashjian CJ. Euphausiid distribution along the Western Antarctic Peninsula-part A: development of robust multi-frequency acoustic techniques to identify euphausiid aggregations and quantify euphausiid size, abundance, and biomass. Deep Sea Res II Top Stud Oceanogr. 2008;55:412-31.  https://doi.org/10.1016/j.dsr2.2007.11.010
  13. La HS, Lee H, Kang D, Lee S, Shin HC. Volume backscattering strength of ice krill (Euphausia crystallorophias) in the Amundsen Sea coastal polynya. Deep Sea Res II Top Stud Oceanogr. 2016;123:86-91.  https://doi.org/10.1016/j.dsr2.2015.05.018
  14. Lee CR, Lee PG, Park C. Seasonal and vertical distribution of planktonic copepods in the Korea strait. J Korean Fish Soc. 1999;32:525-33. 
  15. Lee BR, Park W, Lee HW, Oh TY, Kim DN. Spatio-temporal distribution of euphausiids in Korean waters in 2016. Korean J Fish Aquat Sci. 2021;54:456-66. 
  16. Matsukura R, Yasuma H, Murase H, Yonezaki S, Funamoto T, Honda S, et al. Measurements of density contrast and sound-speed contrast for target strength estimation of neocalanus copepods (Neocalanus cristatus and Neocalanus plumchrus) in the North Pacific Ocean. Fish Sci. 2009a;75:1377-87.  https://doi.org/10.1007/s12562-009-0172-3
  17. Matsukura R, Mukai T, Ando Y, Iida K. The variation of density and sound speed contrasts and theoretical target strength estimation of Euphausia pacifica. Nippon Suisan Gakk. 2009b;75:38-44.  https://doi.org/10.2331/suisan.75.38
  18. McKelvey DR, Wilson CD. Discriminant classification of fish and zooplankton backscattering at 38 and 120 kHz. Trans Am Fish Soc. 2006;135:488-99.  https://doi.org/10.1577/T04-140.1
  19. McGehee DE, O'Driscoll RL, Traykovski LVM. Effects of orientation on acoustic scattering from Antarctic krill at 120 kHz. Deep Sea Res II Top Stud Oceanogr. 1998;45:1273-94.  https://doi.org/10.1016/S0967-0645(98)00036-8
  20. Miyashita K, Aoki I, Seno K, Taki K, Ogishima T. Acoustic identification of Isada krill, Euphausia pacifica Hansen, off the Sanriku coast, north-eastern Japan. Fish Oceanogr. 1998;6:266-71.  https://doi.org/10.1046/j.1365-2419.1998.00042.x
  21. Seo YI, Oh TY, Cha HK, Lee K, Yoon EA, Hwang BK, et al. Hydroacoustic survey on distribution and density of fisheries resources in the Marado coastal area of Jeju, Korea. J Korean Soc Fish Ocean Technol. 2016;52:209-19.  https://doi.org/10.3796/KSFT.2016.52.3.209
  22. Stanton TK, Chu D. Review and recommendations for the modelling of acoustic scattering by fluid-like elongated zooplankton: euphausiids and copepods. ICES J Mar Sci J Conseil. 2000;57:793-807.  https://doi.org/10.1006/jmsc.1999.0517
  23. Tojo N, Minami K, Matsukura R, Kawauchi Y, Funamoto T, Chimura M, et al. Spatial estimation of euphausiid biomass along the Pacific Coast of Eastern Hokkaido, Japan in early summer of 2008. J Mar Sci Technol. 2011;19:294-301.  https://doi.org/10.51400/2709-6998.2195
  24. Yoon EA, Hwang DJ, Hirose M, Sawada K, Fukuda Y, Mukai T. Ex situ acoustic target strength by tilt angle and pulsation of moon jellyfish (Aurelia aurita) using frequency 70 kHz. J Korean Soc Fish Ocean Technol. 2015;51:295-301. https://doi.org/10.3796/KSFT.2015.51.3.295