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표층혼합층 생태계모델을 이용한 동해 식물플랑크톤의 계절변화

Seasonal Variation of Phytoplankton in the East Sea Using A Surface Mixed Layer Ecosystem Model

  • 김상우 (부경대학교 위성정보과학연구소) ;
  • 기전풍 (일본 북해도대학 수산학부) ;
  • 동옥지범 (일본 북해도수산연구소)
  • KIM Sang Woo (Institute of satellite information science, Pukyong National University) ;
  • ISODA Yutaka (Department of Fisheries and Marine Sciences, Hokkaido University) ;
  • AZUMAYA Tomonori (Hokkaido National Fisheries Research Institute)
  • 발행 : 2003.04.01

초록

Seasonal variation of phytoplankton was investigated with surface mixed layer ecosystem model in the East Sea. The model consisted of four compartments (phytoplankton, zooplankton, nutrient, detritus) forced by mixed layer depths, photosynthetically available radiation and nutrient concentrations. From model results we estimated entrainment rate $2.5-4.0\;m{\cdot}day^{-1}$ to reproduce the two annual blooms, and reproduced seasonal variation of phytoplankton at southern and northern regions by the difference of surface winter mixed layer depth (MLD) using the entrainment rate value $3.0\;m{\cdot}day^{-1}$. The spring blooms in the southern and northern regions closely related to deepening of a winter surface MLD. In the southern region where MLD was shallow and phytoplankton spring bloom occurs one month in advance to the northern region where MLD was deep. The amount of light increases within the MLD during the onset of stratification and water temperature increases faster in spring in the southern region than the northern region. Decrease of phytoplankton was mainly affected by zooplankton grazing in the southern region and by nutrient exhaustion in the northern region. The fall bloom in the two regions was caused by the nutrient availability and entrainment on the phytoplankton.

키워드

참고문헌

  1. Banse, K. and D.C. English. 1994. Seasonality of coastal zone color scanner phytoplankton pigment in the offshore oceans. J. Geophys. Res., 99, 7323-7345 https://doi.org/10.1029/93JC02155
  2. Cloern, J.E. 1991. Tidal string and phytoplankton bloom dynamics in an estuary. J. Mar. Res., 49, 203-221 https://doi.org/10.1357/002224091784968611
  3. Eigenheer, A., W. Kuhn and G. Radach. 1996. On the sensitivity of ecosystem box model simulations on mixed-layer depth estimates. Deep-Sea Res., 43, 1011-1027 https://doi.org/10.1016/0967-0637(96)00046-5
  4. Evans, G.T. and J.S. Parslow. 1985. A model of annual plankton cycles. BioI. Oceanogr., 3, 327-347
  5. Fasham, M.J.R., H.W. Ducklow and S.M. McKelvie. 1990. A nitrogen-based model of plankton dynamics in the oceanic mixed layer. J. Mar. Res., 48, 591-639 https://doi.org/10.1357/002224090784984678
  6. Fasham, M.J.R. 1995. Variations in the seasonal cycle of biological production in subarctic oceans: A model sensitivity analysis. Deep-Sea Res., 42, 1111-1149 https://doi.org/10.1016/0967-0637(95)00054-A
  7. Franks, P.J.S. and C. Chen. 1996. Plankton production in tidal fronts: A model of Georges Bank in summer. J.Mar.Res., 54, 631-651 https://doi.org/10.1357/0022240963213718
  8. Hirose, N., C.H. Kim and J.H. Yoon. 1996. Heat budget in the Japan Sea. J. Oceanogr., 52, 553-574 https://doi.org/10.1007/BF02238321
  9. Hirota, Y. and S. Hasegawa. 1999. The zooplankton biomass in the Sea of Japan. Fish. Oceanogr. 8(4), 274-283 https://doi.org/10.1046/j.1365-2419.1999.00116.x
  10. Ikushima, I. 1967. Ecological studies on the productivity of aquatic plant communities. III. Effect of depth on daily photosynthesis in submerged macrophtes. Bot. Mag., Tokyo, 80, 57-67 https://doi.org/10.15281/jplantres1887.80.57
  11. Imai, M., S. Ebara, H. Okimura and K. Kadono. 1990. On the nutrients in the Tsushima warm current water. Umi to Sora, 66, 93-111. (in Japanese)
  12. Ishizaka, J., H. Fukushima, M. Kishino, T. Saino and M. Takahashi. 1992. Phytoplankton pigment distributions in regional upwelling around the Izu Peninsula detected by coastal zone color scanner on May 1982. J. Oceanogr., 48, 305-327 https://doi.org/10.1007/BF02233990
  13. Kim, S.W. and Y. Isoda. 1998. Interannual variations of the surface mixed layer in the sushima current region. Umi to Sora, 74, 11-22. (in Japanese)
  14. Kim, S.W., S. Saitoh, J. Ishizaka, Y. Isoda and M. Kishino. 2000. Temporal and spatial variability of phytoplankton pigment concentrations in the Japan Sea derived from CZCS images. J. Oceanogr., 56, 527-538 https://doi.org/10.1023/A:1011148910779
  15. Kwamiya, M., M.J. Kishi, Y. Yamanaka and N. Suginohara. 1995. An ecological-physical coupled model applied to Station Papa. J. Oceanogr., 51, 635-664 https://doi.org/10.1007/BF02235457
  16. Maizuru Marine Observatory, Meteorological Agency of Japan (1966-91) Oceanographic Prompt Reports. 1997. Nos 170-373. (In Japanese)
  17. McGillicuddy, D., A.R. Robinson and J.J. McCarthy. 1995. Coupled physical and biological modeling of the spring bloom in the North Atlantic (ll): Three dimensional bloom and post-bloom processes. Deep-Sea Res., 8, 1359-1398
  18. Obata, A., J. Ishizaka, M. Endoh. 1996. Global verification of critical depth theory for phytoplankton bloom with climatological in situ temperature and satellite ocean color data. J. Geophys. Res., 101, 20657-20667 https://doi.org/10.1029/96JC01734
  19. Oguz, T., H.Ducklow, P. Malanotte-Rizzoli, Suleyman Tugrul, N.P. Nezlin and U. Unluata. 1996. Simulation of annual plankton productivity cycle in the Blank Sea by a one-dimensional physical-biological model. J. Geophys. Res., 101, 16585-16599 https://doi.org/10.1029/96JC00831
  20. Steele, J.H. and E.W. Henderson. 1981. A simple plankton model. Ame. Natural., 117, 676-691 https://doi.org/10.1086/283752
  21. Yoder, J.A, C.R. McClain, G.C. Feldman and W.E. Esaias. 1993. Annual cycles of phytoplankton chlorophyll concentrations in the global ocean: A satellite view. Global Biogeochem. Cycles, 7, 181-193 https://doi.org/10.1029/93GB02358
  22. Yoshimori, A., J. Ishizaka, T. Kono, H. Kasai, H. Saito, M.J. Kishi and S. Taguchi. 1995. Modeling of spring bloom in the Western Subarctic Pacific (off Japan) with observed vertical density structure. J. Oceanogr., 51, 471-488 https://doi.org/10.1007/BF02286393
  23. Wroblewski, J.S. 1989. A model of the spring bloom in the North Atlantic and its impact on ocean optics. Limnol. Oceanogr., 34, 1563-1571 https://doi.org/10.4319/lo.1989.34.8.1563

피인용 문헌

  1. 동해 축산항 연안의 식물플랑크톤 군집 동태 vol.20, pp.4, 2003, https://doi.org/10.4490/algae.2005.20.4.345
  2. 위성영상에서 관측한 태풍 Nabi 통과시의 한반도 동부해역 수온의 단기변동 vol.40, pp.2, 2007, https://doi.org/10.5657/kfas.2007.40.2.102