한국수산과학회지 (Korean Journal of Fisheries and Aquatic Sciences)

  • 제47권3호
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  • Pages.283-291
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  • 2014
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  • 0374-8111(pISSN)
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  • 2287-8815(eISSN)
한국수산과학회 (The Korean Society of Fisheries and Aquatic Science)
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음향 자료를 이용한 하계 여수 바다목장 해역에서 어군의 시·공간 분포와 특징

The Characteristics and Spatio-temporal Distribution of Fish Schools during Summer in the Marine Ranching Area (MRA) of Yeosu using Acoustic Data

  • 윤은아 (전남대학교 해양기술학부) ;
  • 황두진 (전남대학교 해양기술학부) ;
  • 김호상 (한국수산자원관리공단 자원조성실) ;
  • 이경선 (한국수산자원관리공단 자원조성실)
  • Yoon, Eun-A (Division of Marine Technology, Chonnam National University) ;
  • Hwang, Doo-Jin (Division of Marine Technology, Chonnam National University) ;
  • Kim, Ho-Sang (Resources Enhancement Division, Korea Fisheries Resources Agency) ;
  • Lee, Kyung-Seon (Resources Enhancement Division, Korea Fisheries Resources Agency)
  • 투고 : 2014.02.03
  • 심사 : 2014.03.21
  • 발행 : 2014.06.30
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초록

This study assessed dominant fish species, and the characteristics and spatio-temporal distribution of fish schools using acoustic and catch data in the marine ranching area (MRA) of Yeosu in July and August 2013. Acoustic data were collected using a 200-kHz dual beam transducer, and catch data were analyzed through auction data generated by a set net installed in the MRA. More fish schools were detected by acoustic methods in July than in August. The temporal distribution of fish schools differed between July and August, but, many schools demonstrated a high mean volume scattering strength (SV) around artificial reefs. Additionally, the characteristics of fish schools detected by echograms and the species caught by set nets differed between July and August. The dominant fish species were Engraulis japonicus, Pampus argenteus, Scomberomorus niphonius, and Pampus echinogaster in July, and approximately 85% of the catch in August consisted of Scomberomorus niphonius. Therefore, hydro-acoustic tools are useful for estimating fish school characteristics in large areas over a short period. To determine species, it is important to conduct net sampling surveys during the acoustic surveys. However, if a database of fish school characteristics organized by species is constructed through continuous study, it could be possible to identify fish species through acoustic methods alone.

키워드

참고문헌

  1. Cho KD, Kim JC and Choe YK. 1989. Studies on the fishery biology of pomfrets, Pampus spp. in the Korean waters 5. distribution and fishing condition. Bull Korean Fish Soc 22, 294-305.
  2. Fabi G and Sala A. 2002. An assessment of biomass and diel activity of fish at an artificial reef (Adriatic sea) using a stationary hydroacoustic technique. ICES J Mar Sci 59, 411-420. http://dx.doi.org/10.1006/jmsc.2001.1173.
  3. Fujino T, Kawabata A and Kidokoro H. 2010. Echograms of aquatic organism observed by a quantitative echosounder around JAPAN. Japan Sea Fisheries Research Institute, 3-138.
  4. Haralabous J and Georgakarakos S. 1996. Artificial neural networks as a tool for species identification of fish schools. ICES J Mar Sci 53, 173-180. http://dx.doi.org/10.1006/jmsc.1996.0019.
  5. Hwang DJ, Park JS and Lee YW. 2004. Estimation of fish school abundance by using an echo sounder in an artificial reef area. J Kor Fish Soc 37, 249-254. https://doi.org/10.5657/kfas.2004.37.3.249
  6. Jeong SB, Hwang DJ, Shin HH, Oh TY and Kim HS. 2010. Abstract, 2010 Spring Meeting of the Korean Society of Fisheries Technology, 223-226.
  7. Kang DH, Im YJ, Lee CW, Yoo JT and Myoung JG. 2008. Hydroacoustic survey of Spatio-temporal stability and distribution of demersal fish aggregations near the west coast of Jeju island, Korea. Ocean and Polar Res 30, 181-191. https://doi.org/10.4217/OPR.2008.30.2.181
  8. Kang MH, Nakamura T and Hamano A. 2011a. The application of GIS in analyzing acoustical and multidimensional data related to artificial reefs ground. J Kor Soc Fish Tech 47, 222-233. https://doi.org/10.3796/KSFT.2011.47.3.222
  9. Kang MH, Nakamura T and Hamano A. 2011b. A methodology for acoustic and geospatial analysis of diverse artificialreef datasets. ICES J Mar Sci 68, 2210-2221. http://dx.doi. org/10.1093/icesjms/fsr141.
  10. Kang MH, Nakamura T and Hamano A. 2011c. A new tool for visualising multi-dimensional datasets: an example of fish schools around artificial reefs. N Z J Mar Freshwater Res 46, 179-190. http://dx.doi.org/10.1080/00288330.2011.624525.
  11. Kim DS and Rho HK. 1995. Environmental factors and catch fluctuation of set net grounds in the coastal waters of Yeosu 3. the quanty of phytoplankton and catch fluctuation. Bull Korean Soc Fish Tech 31, 15-23.
  12. Kim DS and Rho HK. 1996. Environmental factors and catch fluctuation of set net grounds in the coastal waters of Yosu 4. water temperature and salinity and fluctuation of catch. Bull Korean Soc Fish Tech 32, 125-131.
  13. Kim DS, Lee CC, Kim DA and Park YS. 1989. The characteristics of a fishing ground at Yeosu Bay -pound net fishing ground -. Bull Korean Fish Tech Soc 25, 44-53.
  14. Kim DS. 1993. Environmental factors and catch fluctuation of set net grounds in the coastal waters of Yeosu. Bull Korean Soc Fish Tech 29, 94-108.
  15. Kim HY, Hwang BK, Lee YW, Shin HO, Kwon JN and Lee KH. 2011. Hydro-acoustic survey on fish distribution and aggregated fish at artificial reefs in marine ranching area. J Kor Soc Fish Tech 47, 139-145. https://doi.org/10.3796/KSFT.2011.47.2.139
  16. Kim HY, Song SH, Lee SK, Kim JB, Yoo JT and Jang DS. 2013. Dominant causes on the catch fluctuation of a set net fishery in the mid-south sea of Korea. J Kor Soc Fish Tech 49, 250-260. https://doi.org/10.3796/KSFT.2012.49.3.250
  17. Kim YH, Kim JB and Chang DS. 2003. Seasonal variation of abundance and species composition of fishes caught by a set net in the coastal waters off Yosu, Korea. J Kor Fish Soc 36, 120-128. https://doi.org/10.5657/kfas.2003.36.2.120
  18. Kim YS, Choi JH, Kim JN, OH TY, Choi KH, Lee DW and Cha HK. 2010. Seasonal variation of fish assemblage in Sacheon marine ranching, the southern coast of Korea. J Kor Soc Fish Tech 46, 335-345. https://doi.org/10.3796/KSFT.2010.46.4.335
  19. Lee DJ. 2011. Performance characteristics of a multi-directional underwater CCTV camera system to use in the artificial reef survey. J Kor Soc Fish Tech 47, 146-152. https://doi.org/10.3796/KSFT.2011.47.2.146
  20. Lee DJ. 2013. Monitoring of fish aggregations responding to artificial reefs using a split-beam echo sounder, side-scan sonar, and an underwater CCTV camera system at Suyeong Man, Busan, Korea. Kor J Fish Aquat Sci 46, 266-272. https://doi.org/10.5657/KFAS.2013.0266
  21. Lee JB, Oh TY, Yeon IJ, Kim BY, Shin HO, Hwang BK, Lee KH and Lee YW. 2012. Estimation of demersal fish biomass using hydroacoustic and catch data in the marine ranching area (MRA) of Jeju. J Kor Soc Fish Tech 48, 128-136. https://doi.org/10.3796/KSFT.2012.48.2.128
  22. Lee JW and Kang YS. 1994. Variations of fish community and fish density on artificial reefs. Bull Korean Fish Soc 27, 535-548.
  23. Lu HJ and Lee KT. 1995. Species identification of fish shoals from echograms by an echo-signal image processing system. Fish Res 24, 99-111. http://dx.doi.org/10.1016/0165-7836(94)00368-7.
  24. NFRDI. 2005. Report of ecology and fishing ground of major fishery resource in Korean waters. NFRDI Report, 112-200.
  25. NFRDI. 2013a. Weekly report of jellyfish appearance. Retrieved from http://www.nfrdi.re.kr/bbs?id=jellynews on December 12.
  26. NFRDI. 2013b. Red tide information. Retrieved from http://portal.nfrdi.re.kr/redtide/mapattr/outiddrtf001.jsp?srcode=2013072301&_type=flash on July 23.
  27. Oh TY, Cha HK, Chang DS, Hwang CH, Nam YJ, Kwak SN and Son MH. 2010. Seasonal variation and species composition of fishes communities in artificial reef unit at marine ranching area in the coastal waters off Jeju island, Korea. J Kor Soc Fish Tech 46, 139-147. https://doi.org/10.3796/KSFT.2010.46.2.139
  28. Petitgas P and Levenez JJ. 1996. Spatial organization of pelagic fish: echogram structure, spatio-temporal condition, and biomass in Senegalese waters. ICES J Mar Sci 53, 147-153. http://dx.doi.org/10.1006/jmsc.1996.0015.
  29. Reid D, Scalabrin C, Petitgas P, Masse J, Aukland R, Carrera P and Georgakarakos S. 2000. Standard protocols for the analysis of school based data from echo sounder surveys. Fish Res 47, 125-136. http://dx.doi.org/10.1016/S0165-7836(00)00164-8.
  30. Yoon BS, Yoon SC, Lee SI, Kim JB, Yang JH, Park JH, Choi YM and Park JH. 2011. Community structure of demersal organisms caught by otter trawl survey in the Uljin marine ranching area, Korea. Kor J Fish Aquat Sci 44, 506-515. https://doi.org/10.5657/KFAS.2011.0506
  31. Yoon WD, Yang JY, Shim MB and Kang HK. 2008. Physical processes influencing the occurrence of the giant jellyfish Nemopilema nomurai (Scyphozoa: Rhizostomeae) around Jeju Island, Korea. J Plankton Res 30, 251-260. http:// dx.doi.org/10.1093/plankt/fbm102.

피인용 문헌

  1. Study on the spatial distribution and aggregation characteristics of fisheries resources in the East Sea, West Sea and South Sea of the South Korea in spring and autumn using a hydroacoustic method vol.54, pp.2, 2018, https://doi.org/10.3796/KSFOT.2018.54.2.146