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Estimation of tuna longline hook depth for improved performance in Fiji

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초록

In pelagic longline, deploying the gear such that the depth of the hook is the same as that of the target fish is important to improve the fishing performance and selectivity. In this study, the depth of the tuna longline hook was estimated using the mass-spring model, catenary curve method, and secretariat of the pacific commission Pythagorean method in order to improve the performance of the longline gear in Fiji. The former two methods were estimated to be relatively accurate, and the latter showed a large error. Further, the mass-spring model accounted for the influence of tidal current in the ocean, which was found to be appropriate for use in field trials.

Abstract

In pelagic longline, deploying the gear such that the depth of the hook is the same as that of the target fish is important to improve the fishing performance and selectivity. In this study, the depth of the tuna longline hook was estimated using the mass-spring model, catenary curve method, and secretariat of the pacific commission Pythagorean method in order to improve the performance of the longline gear in Fiji. The former two methods were estimated to be relatively accurate, and the latter showed a large error. Further, the mass-spring model accounted for the influence of tidal current in the ocean, which was found to be appropriate for use in field trials.

참고문헌 (13)

  1. Amoe J, "Fiji Tuna and Billfishes", 15th Meeting of the Standing Committee on Tuna and Billfish, pp.1~9 (2002)
  2. Beverly S, "A Manual for Fisherman", pp.1~132 (2003), Secretariat of the Pacific Community
  3. Fisheries of the Pacific Islands: Regional and National Information, "Gillet R", FAO, 1~290 (2011)
  4. Analysis of tuna longlines by automatic depth meter, "Hamuro T", 39~119 (1958)
  5. Irvine H, "Cable Structures", pp.1~272 (1981), Halliday Lithograph
  6. Kim DA., "Fishing Gear Design in Korea", pp.324~328 (1999), Peace Print Publishing Ltd
  7. Lee CW, "Physical modeling for underwater flexible systems dynamic simulation", Ocean Eng, 32, pp.331~347 (2005)[DOI]
  8. Lee JH, "Dynamic simulation of tuna longline gear using numerical methods", Fisheries Sci, 71, pp.1287~1294 (2005)[DOI]
  9. Lokkeberg S, "Species and size selectivity in longline fishing: a review", Fisheries Res, 13, pp.311~322 (1992)[DOI]
  10. Ravitu, NT, "A bio-economic analysis of alternative management policies for the Fiji Longline Fishery", MSc, pp.2014
  11. Song L, "The dynamic simulation of the pelagic longline deployment", Fisheries Res, 167, pp.280~292 (2015)[DOI]
  12. Viliame B, "Behavior analysis of the tuna longline gear for improved performance and efficiency in Fiji", MSc, pp.2017
  13. Tuna Fishery Year book. Ocean Fisheries Program, "WCPFC", Secretariat of the Pacific Community, 1~148 (2012)

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