Journal of the Korean Society of Fisheries and Ocean Technology (수산해양기술연구)

The Korean Society of Fisheries and Ocean Technology (한국수산해양기술학회)
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The behavioral properties of fish near Yokji Island in the South Sea of South Korea obtained using fish track technique

어류 추적 기법을 이용한 남해안 욕지도 해역에서 어류의 행동

  • CHOI, Jung Hwa (Fisheries Resources Research Center, National Institute of Fisheries Science) ;
  • PARK, Junsu (Department of Maritime Police and Production System/Institute of Marine Industry, Gyeongsang National University) ;
  • PARK, Junseong (Department of Maritime Police and Production System/Institute of Marine Industry, Gyeongsang National University) ;
  • KANG, Myounghee (Department of Maritime Police and Production System/Institute of Marine Industry, Gyeongsang National University)
  • 최정화 (국립수산과학원 수산자원연구센터) ;
  • 박준수 (경상대학교 해양경찰시스템학과/해양산업연구소) ;
  • 박준성 (경상대학교 해양경찰시스템학과/해양산업연구소) ;
  • 강명희 (경상대학교 해양경찰시스템학과/해양산업연구소)
  • Received : 2016.10.13
  • Accepted : 2017.05.08
  • Published : 2017.05.31
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Abstract

The objective of this study was to provide fundamental information on fish swimming behavioral properties. Acoustic data was collected at nighttime from the $10^{th}$ to $12^{th}$ March, 2016 near Yokji Island in the South Sea of South Korea, and was analyzed using the fish track technique. This technique is to identify groups of single targets, which shows a pattern of systematic movement. As a result, the differences of the behavioral properties such as depth, swimming speed, vertical direction, horizontal direction, tortuosity, and depth change among days were minor; however, statistical results (Welch analysis of variance) showed significant difference between days. Especially, the target strength (TS) of the $11^{th}$ were significantly different from the $10^{th}$ and $12^{th}$. It could be assumed that gizzard shad, which was the dominant species from the catch on the $11^{th}$ March, might have affected this difference. The correlation between TS and other properties was very week. The significant difference seemed even small differences of average values because of the large data volume.

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References

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