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Quantitative comparison of photoacclimation models for marine phytoplankton

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  • Smith, S.Lan
  • Yamanaka, Yasuhiro

Abstract

Photoacclimation models for marine phytoplankton describe the changes in their composition (typcially C, N and chlorophyll) and growth in response to changing light and nutrient environment. We compared two such models: that of Geider et al. (Geider, R.J., MacIntyre, H.L., Kana, T.M., 1998. A dynamic regulatory model of phytoplankton acclimation to light, nutrients, and temperature. Limnol. Oceanogr. 43, 679–694), hereafter the G model, and that of Pahlow (Pahlow, M., 2005. Linking chlorophyll-nutrient dynamics to the redfield N:C ratio with a model of optimal phytoplankton growth. Mar. Ecol. Prog. Ser. 287, 33–43), hereafter the P model. Using the Monte Carlo Markov Chain method, we fitted both models to the data set from an incubation experiment by Flynn et al. (Flynn, K.J., Davidson, K., Leftley, J.W., 1994. Carbon–nitrogen relations at whole-cell and free amino-acid levels, during batch growth of isochrysis galbanna (prymnesiophyceae) under conditions of alternating light and dark. Mar. Biol. 118, 229–237). Data consisted of measured concentrations for particulate organic N, particulate organic C, chlorophyll and ammonium. The authors of the G model began their simulation from day 5 for this experiment, claiming that their model could not reproduce the initial lag phase (slow growth during the first few days of the experiment). The author of the P model claimed that its ability to reproduce this initial lag phase (starting from the beginning of the experiment) was a significant improvement over previous models.

Suggested Citation

  • Smith, S.Lan & Yamanaka, Yasuhiro, 2007. "Quantitative comparison of photoacclimation models for marine phytoplankton," Ecological Modelling, Elsevier, vol. 201(3), pages 547-552.
    • Handle: RePEc:eee:ecomod:v:201:y:2007:i:3:p:547-552
    DOI: 10.1016/j.ecolmodel.2006.09.016
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    Cited by:

    1. Krishna, Shubham & Pahlow, Markus & Schartau, Markus, 2019. "Comparison of two carbon-nitrogen regulatory models calibrated with mesocosm data," Ecological Modelling, Elsevier, vol. 411(C).
    2. Francis Mairet & Olivier Bernard, 2019. "Twelve quick tips for designing sound dynamical models for bioprocesses," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-8, August.
    3. McDonald, C.P. & Bennington, V. & Urban, N.R. & McKinley, G.A., 2012. "1-D test-bed calibration of a 3-D Lake Superior biogeochemical model," Ecological Modelling, Elsevier, vol. 225(C), pages 115-126.

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