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Effects of Climate-induced Variation in the Catch Distribution and Biological Characteristics of Skipjack Tuna Katsuwonus pelamis in the Western and Central Pacific Ocean

기후변화가 중서부태평양 가다랑어(Katsuwonus pelamis)의 어획분포와 생물학적 특성에 미친 영향

  • Kim, Eunjung (Joint Institute for Marine and Atmospheric Research, University of Hawaii at Manoa) ;
  • Moon, Daeyeon (Marine Biodiversity Institute of Korea) ;
  • Kim, Suam (Department of Marine Biology, Pukyong National University)
  • 김은정 (하와이 대학교 해양대기공동연구소(JIMAR)) ;
  • 문대연 (한국해양생물자원관) ;
  • 김수암 (부경대학교 자원생물학과)
  • Received : 2015.08.10
  • Accepted : 2015.08.17
  • Published : 2015.08.31

Abstract

To reveal the spatial and temporal variability in the distribution, growth, and maturation of skipjack tuna Katsuwonus pelamis in the western tropical Pacific, we compared two El $Ni{\tilde{n}}o$-Southern Oscillation (ENSO) signals and the sea surface temperature (SST) in the main fishing area with fishery and biological data. An index of skipjack tuna distribution was calculated using Korean purse seine fishery data from 1985 to 2003. Biological data for skipjack tuna were collected monthly from Korean catches during the 1994-2003 period. The catch was more closely related to the SST in the main fishing area than to the ENSO signals. However, cross-correlated function analysis showed delayed interactions between abiotic and biotic factors. The El $Ni{\tilde{n}}o$ events preceded the eastward movement of the fishing center by 2-3 months. El $Ni{\tilde{n}}o$ had a positive effect on the skipjack tuna catch, and the change in the Southern Oscillation Index (SOI) preceded the catch fluctuation by ca. 5-7 months. In addition, negative El $Ni{\tilde{n}}o$ effects on gonad maturation and the mean length of skipjack tuna were detected with time lags of 12 and 7 months, respectively. The length frequency indicated that the regime-specific growth pattern at each discrete period seemed to be related to the ENSO.

Keywords

References

  1. Collins M. 2000. The El Nino-Southern oscillation in the second hadley centre coupled model and its response to greenhouse warming. J Climate 13, 1299-1312. https://doi.org/10.1175/1520-0442(2000)013<1299:TENOSO>2.0.CO;2
  2. FAO. 2003. FAO Technical Guidelines for Responsible Fisheries. No. 4, Suppl. 2. Rome, 112p.
  3. Forsbergh ED. 1989. The influence of some environmental variables on the apparent abundance of skipjack tuna, Katsuwonus pelamis, in the eastern Pacific Ocean. Bull I-ATTC 19, 433-569.
  4. Hampton J. 2002. Stock assessment of skipjack tuna in the western and central Pacific Ocean. 15th SCTB Working Paper No. SKJ-1.
  5. Hanley DE. Bourassa, MA, O'Brien, JJ, Smith, SR and Spade, ER 2003. Notes and correspondence; A quantitative evaluation of ENSO indices. J Climate 16, 1249-1258. https://doi.org/10.1175/1520-0442(2003)16<1249:AQEOEI>2.0.CO;2
  6. Kruse GH, Livingston P, Overland JE, Jamieson GS, McKinnell S and Perry RI. (Eds.) 2006. Report of the PICES/NPRB Workshop on Integration of Ecological Indicators of the North Pacific with Emphasis on the Bering Sea. PICES Scientific Report No. 33, 109.
  7. Lehodey P. 2001. The pelagic ecosystem of the tropical Pacific Ocean: dynamic spatial modelling and biological consequences of ENSO. Progress Oceanography 49, 439-468. https://doi.org/10.1016/S0079-6611(01)00035-0
  8. Lehodey P, Andre JM, Bertignac M, Hampton J, Stoens A, Menkes C, Memery L and Grima N. 1998. Predicting skipjack tuna forage distributions in the equatorial Pacific using a coupled dynamical bio-geochemical model. Fish Oceanogr 7, 317-325. https://doi.org/10.1046/j.1365-2419.1998.00063.x
  9. Lehodey P, Bertignac M, Hampton J, Lewis A and Picaut J. 1997. El Nino Southern Oscillation and tuna in the western Pacific. Nature 386, 715-718.
  10. Lehodey P, Chai F and Hampton J. 2003. Modelling climaterelated variability of tuna populations from a coupled oceanbiogeochemical-populations dynamics model. Fish Oceanogr 12, 483-494. https://doi.org/10.1046/j.1365-2419.2003.00244.x
  11. Loukos H, Monfray P, Bopp L and Lehodey P. 2003. Potential changes in skipjack tuna (Katsuwonus pelamis) habitat for a global warming scenario: modelling approach and preliminary results. Fish Oceanogr 12, 474-482. https://doi.org/10.1046/j.1365-2419.2003.00241.x
  12. Mantua MJ, Hare SR, Zhang Y, Wallace JM and Francis RC. 1997. A Pacific interdecadal climate oscillation with impacts on salmon production. Bull American Meteorological Society 78, 1069-1079. https://doi.org/10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
  13. Matsumoto WM, Skillman RA and Dizon AE. 1984. Synopsis of biological data on skipjack tuna, Katsuwonus pelamis. NOAA Tech Rep NMFS Circ 451, 95.
  14. Matsuura T and Iuzuka S. 2000. Zonal migration of the Pacific warm-pool tongue during El Nino events. J. Physical Oceanography 30, 1582-1600. https://doi.org/10.1175/1520-0485(2000)030<1582:ZMOTPW>2.0.CO;2
  15. Murtugudde RG, Signorini SR, Christian JR, Busalacchi AJ, McClain CR and Picaut J. 1999. Ocean color variability of the tropical Indo-Pacific Basin observed by SeaWiFS during 1997-1998. J Geophys Res 104, 18351-18366. https://doi.org/10.1029/1999JC900135
  16. Ottersen G, Kim S, Huse G, Polovina JJ and Stenseth NC. 2010. Major pathways by which climate may force marine fish populations. J Marine System 79, 343-360. https://doi.org/10.1016/j.jmarsys.2008.12.013
  17. Picaut J, Ioualalen M, Menkens C, Delcroix T and McPhaden M. 1996. Machanism of the zonal displacement of the Pacific warm pool. Science 274, 1487-1489.
  18. PICES. 2004. Marine Ecosystems of the North Pacific. PICES Special Publication 1. Perry, R.I. and McKinnell, S.M. (Eds.) 280.
  19. PICES. 2005. PICES Advisory Report on Fisheries and Ecosystem Responses to Recent Regime Shifts. North Pacific Marine Science Organization, Sidney, Canada. 12
  20. PICES. 2010. Marine Ecosystems of the North Pacific Ocean, 2003-2008. PICES Special Publicatin 4. McKinnell, S.M. and Dagg, M.J. (Eds.), 393 .
  21. Power JH. 1996. Simulations of the effect of advective-diffusive processes on observation of plankton abundance and population rates. J Plankton Res 18,1881-1896. https://doi.org/10.1093/plankt/18.10.1881
  22. Ropelewski CF and Jones PD. 1987. An extension of the Tahiti-Darwin Southern Oscillation Index. Monthly Weather Review 115, 2161-2165. https://doi.org/10.1175/1520-0493(1987)115<2161:AEOTTS>2.0.CO;2
  23. Schaefer KM. 2003. Estimation of the maturity and fecundity of tunas. Report of the Working Group on Modern Approaches to Assess Maturity and Fecundity of Warm- and Cold-water Fish and Squids. Fishken og Havet. no.12, pp.117-124.
  24. SCTB. 1998. Report of Eleventh Meeting of the Standing Committee on Tuna and Billfish. Honolulu, Hawaii, USA,28-33.
  25. Stequert B and Ramcharrum B. 1996. Reproduction of skipjack tuna (Katsuwonus pelamis) from the Western Indian Ocean. Aquatic Living Resource 9, 235-247 https://doi.org/10.1051/alr:1996027
  26. Vialard J and Delecluse P. 1998. An OGCM study for the TOGA decade. Part I: role of salinity in the physics of the western Pacific fresh pool. J Physical Oceanography 28, 1071-1088. https://doi.org/10.1175/1520-0485(1998)028<1071:AOSFTT>2.0.CO;2
  27. Yoder JA, Ackleson SG, Barger RT, Flament P and Balch WM. 1994. A line in the sea. Nature 371, 689-692. https://doi.org/10.1038/371689a0