Skip to main content
Log in

Analysis of temporal and spatial variability of phytoplankton by physical-biological models

Lecture by the member awarded the Okada Prize of the oceanographical society of Japan for 1991

  • Short Contribution
  • Published:
Journal of the Oceanographical Society of Japan Aims and scope Submit manuscript

Abstract

I reviewed my research on analysis of temporal and spatial variability of phytoplankton by physical-biological models. This paper was prepared for a lecture of the member awarded the Okada Prize for 1991 from the Oceanographical Society of Japan.

Temporal change of phytoplankton in a local upwelling was studied by simulated upwelling experiments conducted with natural phytoplankton communities under natural surface light conditions. Results of the culture experiments was explained by a simple model. This model allows to predict the chlorophyll and nutrient concentration changes in a given upwelled water mass.

Above model was verified by a local upwelling observed off Izu, Japan, on May, 1982. Phytoplankton growth and nutrient decrease in surface water of the local upwelling were observed within two days followed by decrease of phytoplankton concentration under depleted nutrient environment. The phytoplankton growth and nutrient decrease could explained by the model with phytoplankton removal rate of about half of the growth rate. Centric diatom was the dominant phytoplankton group and pennate diatom showed less abundance in the upwelled water. Pennate diatom showed fast growth rate when nutrient was abundant and fast decreasing rate after nutrient depleted. On the other hand, flagellate and monads showed relatively slow change of biomass under the change of nutrient concentrations. Furthermore, resting spore formation of centric diatom,Leptocylindrus danicus, was observed in a response to nutrient depletion.

Temporal and spatial variability of phytoplankton in the southeastern U.S. continental shelf ecosystem was studied by physical-biological models. First, differences of the biological responses to frontal eddy upwelling during spring and to intrusion during summer was considered by Lagrangian particle tracing experiments with optimally-interpolated flow fields. In spring, particles showed residence time of a few days; however, particles in summer intrusion stayed on the shelf nearly 30 days. It was concluded that difference of particle residence time of upwelled water make the difference of plankton communities. Similar flow fields and particle tracing experiments were used to trace the features in chlorophyll distributions during spring of 1980 derived by Coastal Zone Color Scanner (CZCS). Phytoplankton patchness were created and deformed by frontal eddy events. Eularian physical-biological model was constructed to understand the CZCS-chlorophyll distributions. Statistical comparisons with series of numerical experiments indicate that horizontal advection is an important process for the chlorophyll distributions and that upwelling and associated phytoplankton growth are responsible for the across-shelf gradients and maintenance of concentrations. Furthermore, the CZCS data were assimilated to the model to improve the phytoplankton concentrations, and phytoplankton carbon flux across shelf was estimated. Processes causing the time changes of chlorophyll concentrations were estimated with the model and satellite data further indicated that the both physical and biological forcing is important for the time chages. Several other studies conducted presently were mentioned.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Abbott, M. R. and P. M. Zion (1985): Satellite observations of phytoplankton variability during an upwelling event. Cont. Shelf Res.,4, 661–680.

    Article  Google Scholar 

  • Angel, M. V. and R. L. Smith, Ed. (1987): Summer upwelling on the southeastern continental shelf of the U.S.A. Prog. Oceanogr.,19, 222–441.

  • Atkinson, L. P., D. W. Menzel and K. A. Bush, Ed. (1985): Oceanography of the southeastern U.S. continental Shelf. American Geophysical Union, Washington, D.C., 156 pp.

    Google Scholar 

  • Atkinson, L. P., J. O. Blanton, C. McClain, T. N. Lee, M. Takahashi, T. Ishimaru and J. Ishizaka (1987): Observations of upwelling around the Izu Peninsula, Japan: May 1982. J. Oceanogr. Soc. Japan,43, 89–103.

    Article  Google Scholar 

  • Davis, C. O., D. L. R. Seibert, W. H. Thomas and P. J. Harrison (1980): Formation of resting spores byLeptocylindrus danicus (Bacillariophyceae) in a controlled experimental ecosystem. J. Phycol.,16, 296–302.

    Article  Google Scholar 

  • Dodson, A. N. and W. H. Thomas (1977): Marine phytoplankton growth and survival under simulated upwelling and oligotrophic conditions. J. Exp. Mar. Biol. Ecol.,26, 153–161.

    Article  Google Scholar 

  • Feldman, G., N. Kuring, C. Ng, W. Esaias, C. McClain, J. Elrod, N. Maynard, D. Endres, R. Evans, J. Brown, S. Walsh, M. Carle and G. Podesta (1989): Ocean color. Availability of the global data set. EOS,70, 634–641.

    Google Scholar 

  • Fukushima, H. and J. Ishizaka: Special features and applications for CZCS data in Asian waters, In: Ocean Colour: Theory and Applications in a Decade of CZCS Experience. Kluwer Academic Press.

  • Furuya, K., M. Takahashi and T. Nemoto (1986): Summer phytoplankton community structure and growth in a regional upwelling area off Hachijo Island, Japan. J. Exp. Mar. Biol. Ecol.,96, 43–55.

    Article  Google Scholar 

  • Garrison, D. L. (1981): Monterey Bay phytoplankton. II. Resting spore cycles in coastal diatom populations. J. Plankton Res.,3, 137–156.

    Google Scholar 

  • Garrison, D. L. (1984): Planktonic diatoms. p. 1–17. In: Marine Plankton Life Cycle Strategies, ed. by K. A. Steidinger and L. M. Walker, CRC Press, Boca Raton, Florida.

    Google Scholar 

  • Gordon, H. R., D. K. Clark, J. L. Mueller and W. A. Hovis (1980): Phytoplankton pigments from the Nimbus-7 Coastal Zone Color Scanner: Comparisons with surface measurements. Science,210, 63–66.

    Google Scholar 

  • Gordon, H. R., D. K. Clark, J. W. Brown, O. B. Brown, R. H. Evans and W. W. Broenkow (1983): Phytoplankton pigment concentrations in the Middle Atlantic Bight: Comparison of ship determinations and CZCS estimates. Appl. Opt.,22, 20–36.

    Google Scholar 

  • Haury, L. R., J. A. McGowan and P. H. Wiebe (1978): Patterns and processes in the time-space scales of plankton distributions. p. 277–327. In: Spatial pattern in plankton communities, ed. by J. H. Steele, Plenum Press.

  • Hofmann, E. E. (1988): Plankton dynamics on the outer southeastern U.S. continental shelf. Part III: A coupled physical-biological model. J. Mar. Res.,46, 919–946.

    Google Scholar 

  • Hofmann, E. E. and J. Ambler (1988): Plankton dynamics on the outer southeastern U.S. continental shelf. Part II: A time-dependent biological model. J. Mar. Res.,46, 883–917.

    Google Scholar 

  • Hofmann, E. E., L. J. Pietrafesa, J. M. Klinck and L. P. Atkinson (1980): A time-dependent model of nutrient distribution in continental shelf waters. Ecol. Model.10, 193–214.

    Article  Google Scholar 

  • Hovis, W. A., D. K. Clark, F. Anderson, R. W. Austin, W. H. Wilson, E. T. Baker, D. Ball, H. R. Gordon, J. L. Mueller, S. Z. El-Sayed, B. Sturm, R. C. Wrigley and C. S. Yentsch (1980): Nimbus - 7 Coastal Zone Color Scanner: system description and initial imagery. Science,210, 60–63.

    Google Scholar 

  • Hurlburt, H. E. (1986): Dynamic transfer of simulated altimeter data into subsurface information by a numerical ocean model. J. Geophys. Res.,91, 2372–2400.

    Google Scholar 

  • Ishizaka, J. (1990a): Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 1. CZCS data description and Lagrangian particle tracing experiments. J. Geophys. Res.,95, 20167–20181.

    Google Scholar 

  • Ishizaka, J. (1990b): Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 2. An Eulerian model. J. Geophys. Res.,95, 20183–20199.

    Google Scholar 

  • Ishizaka, J. (1990c): Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 3. Nutrient and phytoplankton fluxes and CZCS data assimilation. J. Geophys. Res.,95, 20167–20181.

    Google Scholar 

  • Ishizaka, J. and E. E. Hofmann (1988): Plankton dynamics on the outer southeastern U.S. continental shelf. Part I: Lagrangian particle tracing experiments. J. Mar. Res.,46, 853–882.

    Google Scholar 

  • Ishizaka, J. and E. E. Hofmann: Coupling of ocean color data to physical-biological models. In: Ocean Colour: Theory and Applications in a Decade of CZCS Experience. Kluwer Academic Press.

  • Ishizaka, J., M. Takahashi and S. Ichimura (1983): Evaluation of coastal upwelling effects on phytoplankton growth by simulated culture experiments. Mar. Biol.,76, 271–278.

    Article  Google Scholar 

  • Ishizaka, J., M. Takahashi and S. Ichimura (1986): Changes in the growth rate of different phytoplankton groups in a localized upwelling occurring around the Izu Peninsula, Japan. J. Plankton Res.,8, 169–181.

    Google Scholar 

  • Ishizaka, J., M. Kaichi and M. Takahashi (1987): Resting spore formation ofLeptocylindrus danicus (Bacillariophyceae) during short time-scale upwelling and its significance as predicted by a simple model. Ecol. Res.,2, 229–242.

    Google Scholar 

  • Ishizaka, J., H. Fukushima, M. Kishino, T. Saino and M. Takahashi: Chlorophyll distributions in regional upwelling around Izu Peninsula detected by Coastal Zone Color Scanner on May 1982. J. Oceanogr. Soc. Japan.

  • Karweit, M. (1980): Optimal objective mapping: a technique for fitting surfaces to scattered data. p. 81–99. In: Advanced Concepts in Ocean Measurements for Marine Biology, ed. by F. P. Diemer, F. J. Veruberg and D. Z. Mirkes, Univ. South Carolina, Columbia.

    Google Scholar 

  • Kishi, M. J., K. Nakata and K. Ishikawa (1981): Sensitivity analysis of a coastal marine ecosystem. J. Oceanogr. Soc. Japan.,37, 120–134.

    Article  Google Scholar 

  • McClain, C. R., L. J. Pietrafesa and J. A. Yoder (1984): Observations of Gulf Stream-induced and wind-driven upwelling in the Georgia Bight using ocean color and infrared imagery. J. Geophys. Res.,89, 3705–3723.

    Google Scholar 

  • McClain, C. R., J. Ishizaka and E. E. Hofmann (1990): Estimation of the processes controlling variability in phytoplankton pigment distributions on the southeastern U.S. continental shelf. J. Geophys. Res.,95, 20213–20235.

    Google Scholar 

  • Platt, T., Ed. (1981): Physiological Bases of Phytoplankton Ecology. Can. Bull. Fish. Aquat. Sci., 210, Otawa, 346 pp.

  • Richards, F. A., Ed. (1981): Coastal upwelling. American Geophysical Union, Washington, D.C., 529 pp.

    Google Scholar 

  • Smetacek, V. S. (1985): Role of sinking in diatom life-history cycles: ecological, evolutionary and geological significance. Mar. Biol.,84, 239–251.

    Article  Google Scholar 

  • Takahashi, M., I. Koike, T. Ishimaru, T. Saino, K. Furuya, Y. Fujita, A. Hattori and S. Ichimura (1980): Upwelling plumes in Sagami Bay and adjacent water around the Izu Islands, Japan. J. Oceanogr. Soc. Japan,36, 209–216.

    Article  Google Scholar 

  • Takahashi, M., Y. Yasuoka, M. Watanabe, T. Miyazaki and S. Ichimura (1981): Local upwelling associated with vortex motion off Oshima Island, Japan. p. 119–124. In: Coastal Upwelling, ed. by F. A. Richards, American Geophysical Union, Washington, D.C.

    Google Scholar 

  • Takahashi, M., J. Ishizaka, T. Ishimaru, L. P. Atkinson, T. N. Lee, Y. Yamaguchi, Y. Fujita and S. Ichimura (1986): Temporal change in nutrient concentrations and phytoplankton biomass in short time scale local upwelling around the Izu Peninsula, Japan. J. Plankton Res.,8, 1039–1049.

    Google Scholar 

  • Thomas, W. H., M. Pollock and D. L. R. Seibert (1980): Effects of simulated upwelling and oligotrophy on chemostat-grown natural marine phytoplankton assemblages. J. exp. mar. Biol. Ecol.,45, 25–36.

    Article  Google Scholar 

  • Toda, H. (1989): Surface distributions of copepods in relation to regional upwellings around the Izu Islands in summer of 1988. J. Oceanogr. Soc. Japan,45, 251–257.

    Article  Google Scholar 

  • Vinogradov, M. E., V. V. Menshutkin and E. A. Shushkina (1972): On mathematical simulation of a pelagic ecosystem in tropical waters of the ocean. Mar. Biol.,16, 261–268.

    Article  Google Scholar 

  • Walsh, J. J. (1972): Implications of a systems approach to oceanography. Science,176, 969–975.

    Google Scholar 

  • Walsh, J. J. (1975): A spatial simulation model of the Peru upwelling ecosystem. Deep-Sea Res.,22, 201–236.

    Google Scholar 

  • Walsh, J. J. (1988): On the Nature of Continental Shelves. Academic, San Diego, Calif., 520 pp.

    Google Scholar 

  • Walsh, J. J., E. T. Prenuzic and T. E. Whitledge (1981 a): Fate of nutrient enrichment of continental shelves as indicated by the C / N content of bottom sediments. p. 13–49. In: Ecohydrodynamics, ed. by J. C. J. Nihoul, Elsevier, Amsterdam.

    Google Scholar 

  • Walsh, J. J., G. T. Rowe, R. L. Iverson and C. P. McRoy (1981b): Biological export of shelf carbon is a neglected sink of the global CO2 cycle. Nature,291, 196–201.

    Article  Google Scholar 

  • Walsh, J. J., D. A. Dieterle and M. A. Meyers (1988): A simulation analysis of the fate of phytoplankton within the Mid-Atlantic Bight. Cont. Shelf Res.,8, 757–787.

    Google Scholar 

  • Woods, J. D. and R. Onken (1982): Diurnal variation and primary production in the ocean — preliminary results of a Lagrangian ensemble model. J. Plankton Res.,4, 735–756.

    Google Scholar 

  • Wroblewski, J. S. (1977): A model of phytoplankton plume formation during variable Oregon upwelling. J. Mar. Res.,35, 357–393.

    Google Scholar 

  • Wroblewski, J., J. L. Sarmiento and G. R. Flierl (1988): An ocean basin scale model of plankton dynamics in the North Atlantic. 1. Solutions of the climatological oceanographic conditions in May. Global Biogeochem. Cycles,2, 199–218.

    Google Scholar 

  • Yamamoto, T., S. Nishizawa and A. Taniguchi (1988): Formation and retention mechanisms of phytoplankton peak abundance in the Kuroshio front. J. Plankton Res.,10, 1113–1130.

    Google Scholar 

  • Yoder, J. A. (1983): Statistical analysis of the distribution of fish eggs and larvae on the southeastern U.S. continental shelf with comments on oceanographic processes that may affect larval survival. Est. Coastal. Shelf Sci.,17, 637–650.

    Google Scholar 

  • Yoder, J. A., L. P. Atkinson, S. S. Bishop, E. E. Hofmann and T. N. Lee (1983): Effect of upwelling on phytoplankton productivity of the outer southeastern United States continental shelf. Cont. Shelf Res.,1, 384–404.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ishizaka, J. Analysis of temporal and spatial variability of phytoplankton by physical-biological models. Journal of the Oceanographical Society of Japan 47, 226–239 (1991). https://doi.org/10.1007/BF02310038

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02310038

Keywords

Navigation