DOI QR코드

DOI QR Code

Buoyancy and Vertical Distribution of Mackerel Scomber japonicus Eggs in Korean Waters

한국 연근해 고등어(Scomber japonicus) 알의 비중과 수직분포

  • Jung, Kyung-Mi (Fisheries Resources Management Division, National Fisheries Research & Development Institute) ;
  • Kang, Sukyung (Fisheries Resources Management Division, National Fisheries Research & Development Institute) ;
  • Cha, Hyung Kee (Subtrophic Fisheries Research Center, National Fisheries Research & Development Institute) ;
  • Choi, Kwang Ho (Fisheries Resources Management Division, National Fisheries Research & Development Institute) ;
  • Myksvoll, Mari S. (Oceanography, Institute of Marine Research)
  • 정경미 (국립수산과학원 자원관리과) ;
  • 강수경 (국립수산과학원 자원관리과) ;
  • 차형기 (국립수산과학원 아열대수산연구센터) ;
  • 최광호 (국립수산과학원 자원관리과) ;
  • Received : 2013.10.18
  • Accepted : 2013.11.28
  • Published : 2013.12.31

Abstract

This study simulated the egg vertical distribution of mackerel Scomber japonicus in Korean waters using general numerical models. All eggs were spawned naturally by raising broodfishes (May-June 2013), and the egg specific gravity was measured by a density-gradient column. CTD surveys provided environmental data (e.g., temperature and salinity) in May near Jeju Island, Korea. The egg specific gravity during the early stages ranged from 1.0203-1.0211. In general, the fertilized eggs showed a gradual decline in egg specific gravity until full development of the main organs, with a sudden increase just before hatching. Modeled egg vertical distributions were influenced more by wind speed than by egg buoyancy and vertical structure of the sea water. During calm and normal wind speeds, the eggs were distributed from the surface to 25-m depths. Under strong wind conditions (three times higher than the normal speed), the egg concentration on the surface decreased, and the egg distributional depth was deeper (~50 m).

Keywords

References

  1. Anderson J and deYoung B. 1994. Stage-dependent density of cod eggs and larvae (Gadus morhua L.) in Newfoundland waters. ICES Mar Sci Symp 198, 654-665.
  2. Cha HK, Choi YM, Park JH, Kim JY and Sohn MH. 2002. Maturation and spawning of the chub Mackerel, Scomber japonicus Houttuyn in Korean waters. J Korean Soc Fish Res 5, 24-33.
  3. Choi YM. 2003. Stock assessment and management impli­cations of chub mackerel, Scomber japonicus in Korean waters. Ph.D. Thesis. Pukyong national university, Busan, Korea.
  4. Coombs SH. 1981. A density-gradient column for determining the specific gravity of fish eggs, with particular reference to eggs of the mackerel Scomber scombrus. Mar Biol 63, 101-106. https://doi.org/10.1007/BF00394667
  5. Coombs SH, Morgans D and Halliday NC. 2001. Seasonal and ontogenetic changes in the vertical distribution of eggs and larvae of mackerel (Scomber scombrus L.) and horse mack­erel (Trachurus trachurus L.). Fish Res 50, 27-40. https://doi.org/10.1016/S0165-7836(00)00240-X
  6. Hirshfield MF, Feldmeth CR and Soltz DL. 1980. Genetic differ­ences in physiological tolerances of Amargosa pupfish (Cy­prinodon nevadensis) populations. Science 207, 999-1001. https://doi.org/10.1126/science.207.4434.999
  7. Hiyama Y, Yoda M and Ohshimo S. 2002. Stock size fluctua­tions in chub mackerel (Scomber japonicus) in the East Chi­na Sea and the Japan.East Sea. Fish Oceanogr 11, 347-353. https://doi.org/10.1046/j.1365-2419.2002.00217.x
  8. Hunter JR and Kimbrell CA. 1980. Early life history of Pacific mackerel, Scomber japonicus. Fish Bull 78, 89-101.
  9. Hwang HK, Kim DH, Park MW, Yoon SJ and Lee YH. 2008. Effects of water temperature and salinity on the egg and lar­val of chub mackerel Scomber japonicus. J Aquaculture 21, 234-238.
  10. Jung KM, Folkvord A, Kjesbu OS, Agnalt AL, Thorsen A and Sundby S. 2012. Egg buoyancy variability in local popula­tions of Atlantic cod (Gadus morhua). Mar Biol 159, 1969-1980. https://doi.org/10.1007/s00227-012-1984-8
  11. Kendall AW and Kim S. 1989. Buoyancy of walleye pollock (Theragra chalcogramma) eggs in relation to water proper­ties and movement in Shelikof Strait, Gulf of Alaska. Can J Fish Aquat Sci 108, 169-180.
  12. Kim DH, Kim DJ, Yoon SJ, Hwang HG, Kim EO, Son SG and Kim JK. 2008. Development of the eggs, larvae and juve­niles by artificially-matured Pacific mackerel, Scomber ja­ponicus in the Korean waters. J Kor Fish Soc 41, 471-477.
  13. Kim JY, Kang YS and Jeong HD. 1999. Long-term variations in population biomass of mackerel, Scomber japonicus and environmental factors in Korean waters. J Korean Soc Fish Res 2, 92-100.
  14. Kim S, Yoo JM and Lee EK. 2004. Density changes of Mauro­licus muelleri eggs during development. Korean J Ichthyol 16, 331-335.
  15. KMA. 2013. Monthly report of marine data. Korea meteoro­logical administration, Seoul, Korea.
  16. KODC (Korea Oceanographic Data Center). 2013. Retrieved from http://kodc.nfrdi.re.kr.
  17. Kramer D. 1960. Development of eggs and larvae of Pacific mackerel and distribution and abundance of larvae 1952-1956. Fish Bull 174, 393-438.
  18. Mangor-Jensen A and Waiwood KG. 1995. The effect of light exposure on buoyancy of halibut eggs. J Fish Biol 47, 18-25. https://doi.org/10.1111/j.1095-8649.1995.tb01869.x
  19. Myksvoll MS, Sundby S, Adlandsvik B and Vikebo FB, 2011. Retention of coastal cod eggs in a fjord caused by interac­tions between egg buoyancy and circulation pattern. Mar Coastal Fish: Dyn Man Ecosys Sci 3, 279-294. http://dx.doi. org/10.1080/19425120.2011.595258.
  20. Myksvoll MS, Jung KM, Albretsen J and Sundby S. 2013. Mod­elling dispersal of eggs and quantifying connectivity among Norwegian coastal cod subpopulations. ICES J Mar Sci, http://dx.doi.org/10.1093/icesjms/fst022.
  21. NFRDI (National Fisheries Research and Development Insti­tute). 2010. Ecology and fishing grounds for some major fish in Korean waters. NFRDI, Busan, Korea.
  22. Nissling A. 2004. Effects of temperature on egg and larval sur­vival of cod (Gadus morhua) and sprat (Sprattus sprattus) in the Baltic Sea . implications for stock development. Hy­drobiol 514, 115-123. https://doi.org/10.1023/B:hydr.0000018212.88053.aa
  23. Ospina-Alvarez A, Palomera I and Parada C. 2012. Changes in egg buoyancy during development and its effects on the ver­tical distribution of anchovy eggs. Fish Res 117-118, 86-95. https://doi.org/10.1016/j.fishres.2011.01.030
  24. Park CK, Yeon IH, Choi NH, Heo SJ, Han KH and Lee WK. 2008. Egg development and morphology of larva and juve­nile of the chub mackerel, Scomber japonicus. Dev Reprod 12, 207-213.
  25. Parada C, Van Der Lingen CD, Mullon C and Penven P. 2003. Modelling the effect of buoyancy on the transport of an­chovy (Engraulis capensis) eggs from spawning to nursery grounds in the southern Benguela: an IBM approach. Fish Oceanogr 12, 170-184. https://doi.org/10.1046/j.1365-2419.2003.00235.x
  26. R Development Core Team. 2010. R: A language and environ­ment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
  27. Sundby S. 1983. A one-dimensional model for the vertical dis­tribution of pelagic fish eggs in the mixed layer. Deep Sea Res 30, 645-661. https://doi.org/10.1016/0198-0149(83)90042-0
  28. Sundby S. 1991. Factors affecting the vertical distribution of eggs. ICES Mar Sci Symp 192, 33-38.
  29. Sundby S, Boyd AJ, Hutchings L, O'Toole MJ, Thorisson K and Thorsen A. 2001. Interaction between Cape hake spawning and the circulation in the Northern Benguela upwelling eco­system. S Afr J Mar Sci 23, 317-336. https://doi.org/10.2989/025776101784528971
  30. Tanaka Y and Franks PJS. 2008. Vertical distributions of Japa­nese sardine (Sardinops melanostictus) eggs: comparison of observations and a wind-forced Lagrangian mixing model. Fish Oceanogr 17, 89-100. https://doi.org/10.1111/j.1365-2419.2008.00466.x
  31. Watanabe T. 1970. Morphology and ecology of early stages of life in Japanese common mackerel, Scomber japonicus Houttuyn, with special reference to fluctuation of popula­tion. Bull Tokai Regional Fish Res Lab 62, 1-283.
  32. Yamada U, Tokimura M, Horikawa H and Nakabo T. 2007. Fishes and fisheries of the East China and Yellow Seas. To­kai University Press, Kanagawa, Japan.
  33. Adlandsvik B. 2000. VertEgg: a toolbox for simulation of verti­cal distribution of fish eggs. Institute of Marine Research, Bergen, Norway.