Changes in specific photosynthetic rate of oceanic phytoplankton from the northeast Pacific Ocean

  • M. J. Hameedi
General Aspects


The study is based on data (n=244) from light-saturation experiments utilizing artificial incubation under fluorescent light. Values of maximum photosynthetic rate,Pmax, and the light intensity at which it takes place,Imax, are estimated by non-linear regression using stepwise Gauss-Newton iterations. Estimated values ofPmax ranged from 0.85 to 5.48 mg C (mg Chla·h)−1;Imax varied from 2.35 to 5.52 cal (cm2·h)−1. The effects of time (months) and depth (illumination levels) and their interaction are evaluated by analysis of covariance using a linear model. A significant time-depth interaction is noted: The maximum specific primary productivity occurred in the surface layers during March, at the 50% light level during April, and at 1% level during May. Estimates ofPmax from simulated in situ primary productivity experiments for the same period are lower than those from light-saturation experiments. A comparison of data from light-saturation and simulated in situ experiments indicated that effects of duration of experiments and the quality of available light may affect primary productivity data considerably.


Waste Water Covariance Phytoplankton Pacific Ocean Photosynthetic Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Literature Cited

  1. Anderson, G. C., 1964. The seasonal and geographic distribution of primary productivity off the Washington and Oregon coasts. Limnol. Oceanogr.9, 284–302.Google Scholar
  2. — 1972. Aspects of marine phytoplankton studies near the Columbia River, with special reference to a sub-surface chlorophyll maximum. In: The Columbia River estuary and adjacent ocean waters: bioenvironmental studies. Ed. by A. T. Pruter & D. L. Alverson. Univ. of Washington Press, Seattle, 219–240.Google Scholar
  3. —, & Zeutschel, R. P., 1970. Release of dissolved organic matter by marine phytoplankton in coastal and offshore areas of the northeast Pacific Ocean. Limnol. Oceanogr.15, 402–407.Google Scholar
  4. Bannister, T. T., 1974. Production equations in terms of chlorophyll concentrations, quantum yield, and upper limit to production. Limnol. Oceanogr.19, 1–12.Google Scholar
  5. Banse, K., & Anderson, G. C., 1967. Computation of chlorophyll concentration from spectrophotometric readings. Limnol. Oceanogr.12, 696–697.Google Scholar
  6. Barnes, C. A., Duxbury, A. C. & Morse, B. A., 1972. Circulation and selected properties of the Columbia River effluent at sea. In: The Columbia River estuary and adjacent ocean waters: bioenvironmental studies. Ed. by A. T. Pruter & D. L. Alverson. Univ. of Washington Press, Seattle, 41–80.Google Scholar
  7. Creitz, G. I. & Richards, F. A., 1955. The estimation and characterization of plankton populations by pigment analyses. III. A note on the use of “Millipore” membrane filters in the estimation of plankton pigments. J. mar. Res.14, 211–216.Google Scholar
  8. Curl, H. Jr & Small, L. F., 1965. Variations in photosynthetic assimilation ratios in natural marine phytoplankton communities. Limnol. Oceanogr.10 (Suppl.), R67-R73.Google Scholar
  9. Dixon, W. J. (Ed.), 1970. BMD-Biomedical computer programs, X-series supplement. University of California Press, Los Angeles, 260 pp. (Univ. Calif. Publs Automatic Computation3.)Google Scholar
  10. Dunstan, W. M., 1973. A comparison of the photosynthesis-light intensity relationship in phylogenetically different marine microalgae. J. exp. mar. Biol. Ecol.13, 181–187.Google Scholar
  11. Glooschenko, W. A., Curl, H Jr. & Small, L. F., 1972. Diel periodicity of chlorophyll α concentration in Oregon coastal waters. J. Fish. Res. Bd Can.29, 1253–1259.Google Scholar
  12. Hameedi, M. J., 1974. Ouantitative studies of phytoplankton and zooplankton and their interrelationships off Washington and Oregon. Ph. D. Diss., Univ. Washington, Seattle, 287 pp.Google Scholar
  13. —, 1976. An evaluation of the effects of environmental variables on marine plankton primary productivity by multivariate regression. Int. Revue ges. Hydrobiol.61, 519–540.Google Scholar
  14. Harris, G. P. & Lott, I. N. A., 1973. Light intensity and photosynthetic rates in phytoplankton. J. Fish. Res. Bd Can.30, 1771–1778.Google Scholar
  15. Hartley, H. O., 1961. The modified Gauss-Newton method for the fitting of non-linear regression functions by least squares. Technometrics3, 269–280.Google Scholar
  16. Jassby, A. D. & Platt, T., 1976. Mathematical formulation of the relationship between photosynthesis and light for plankton. Limnol. Oceanogr.21, 540–547.Google Scholar
  17. Lindeman, R. L., 1942. The trophic-dynamic aspect of ecology. Ecology23, 399–418.Google Scholar
  18. Nihoul, J. C. J., 1975. Application of mathematical models to the study, monitoring and management of the North Sea. In: Ecological modeling. Resources of the Future, Inc., Washington, D. C., 135–147.Google Scholar
  19. Richards, F. A. & Thompson, T. G., 1952. The estimation and characterization of plankton populations by pigment analysis. II. A spectrophotometric method for the estimation of plankton pigments. J. mar. Res.11, 156–172.Google Scholar
  20. Ryther, J. G., 1956. Photosynthesis in the ocean as a function of light intensity. Limnol. Oceanogr.1, 61–70.Google Scholar
  21. — & Menzel, D. M., 1959. Light adaptation by marine phytoplankton. Limnol. Oceanogr.4, 492–497.Google Scholar
  22. — & Yentsch, C. S., 1957. The estimation of phytoplankton production in the oceans from chlorophyll and light data. Limnol. Oceanogr.2, 281–286.Google Scholar
  23. Small, L. F., Curl, H. Jr. & Glooschenko, W. A., 1972. Estimates of primary production off Oregon using an improved chlorophyll-light technique. J. Fish. Res. Bd Can.29, 1261–1267.Google Scholar
  24. Sokal, R. R. & Rohlf, F. J., 1969. Biometry. Freeman, San Francisco, 776 pp.Google Scholar
  25. Steele, J. H., 1962. Environmental control of photosynthesis at sea. Limnol. Oceanogr.7, 137–150.Google Scholar
  26. — & Baird, I. E., 1961. Relation between primary production, chlorophyll, and particutlate carbon. Limnol. Oceanogr.6, 68–78.Google Scholar
  27. Steemann Nielsen, E., 1962. Inactivation of photochemical mechanism in photosynthesis. Physiologia Pl.15, 161–171.Google Scholar
  28. —, 1965. On the determination of the activity in14Carbon-ampoules for measuring primary production. Limnol. Oceanogr.10, 247–252.Google Scholar
  29. — & Willemöes, M., 1971. How to measure the illumination rate when investigating the rate of photosynthesis of unicellular alga under various light conditions. Int. Revue ges. Hydrobiol.56, 541–556.Google Scholar
  30. Stevenson, M. M., Schnell, G. D. & Black, R., 1974. Factor analysis of fish distribution patterns in western and central Oklahoma. Syst. Zool.23, 202–218.Google Scholar
  31. Strickland, J. D. H., 1960. Measuring the production of marine phytoplankton. Bull. Fish. Res. Bd Can.122, 1–172.Google Scholar
  32. —, 1965. Production of organic matter in the primary stages of the marine food chain. Chemical oceanography. Ed. by J. P. Riley & G. Skirrow. Acad. Press, London,1, 477–610.Google Scholar
  33. Taguchi, S., 1972. Mathematical analysis of primary production in the Bering Sea. In: Biological oceanography of the northern North Pacific Ocean. Ed. by A. Y. Takenouti. Idemitsu Shoten, Tokyo, 253–262.Google Scholar
  34. Talling, J. F., 1960. Comparative laboratory and field studies of photosynthesis by a marine planktonic diatom. Limnol. Oceanogr.5, 62–77.Google Scholar
  35. Unesco (Editor). Determination of photosynthetic pigments, 1966. Unesco, Paris, 69 pp. (Monographs on oceanographic methodology. 1.)Google Scholar
  36. Vinogradov, M. E., Menshutkin, V. V. & Shushkina, E. A., 1972. On mathematical simulation of a pelagic ecosystem. Mar. Biol.16, 261–268.Google Scholar
  37. Vollenweider, R. A., 1965. Calculation models of photosynthesis-depth curves and some implications regarding day rate estimates in primary production measurements. Memorie Ist. ital. Idrobiol.18 (Suppl.), 425–457.Google Scholar
  38. Wallen, D. G. and Geen, G. H., 1971. The nature of the photosynthate in natural phytoplankton populations in relation to light intensity. Mar. Biol.10, 157–168.Google Scholar
  39. Walsh, J. J. & Dugdale, R. C., 1972. Nutrient submodels and simulation models of phytoplankton production in the sea. In: Nutrients in natural waters. Ed. by H. E. Allen & J. R. Kramer. Wiley, New York, 171–191.Google Scholar
  40. Wikum, D. A. & Wali, M. K., 1974. Analysis of a North Dakota gallery forest: vegetation in relation to topographic and soil gradients. Ecol. Monogr.44, 441–464.Google Scholar
  41. Winter, D. F., Banse, K. & Anderson, G. C., 1975. The dynamics of phytoplankton blooms in Puget Sound, a fiord of the northwestern United States. Mar. Biol.29, 139–176.Google Scholar

Copyright information

© Biologische Anstalt Helgoland 1977

Authors and Affiliations

  • M. J. Hameedi
    • 1
  1. 1.Department of OceanographyUniversity of WashingtonSeattleUSA

Personalised recommendations