Articles | Volume 14, issue 10
Geosci. Model Dev., 14, 6025–6047, 2021
Geosci. Model Dev., 14, 6025–6047, 2021
Model description paper
08 Oct 2021
Model description paper | 08 Oct 2021

FABM-NflexPD 1.0: assessing an instantaneous acclimation approach for modeling phytoplankton growth

Onur Kerimoglu et al.

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Cited articles

Aksnes, D. L. and Egge, J.: A theoretical model for nutrient uptake in phytoplankton, Mar. Ecol. Prog. Ser., 70, 65–72, 1991. a
Anderson, T. R. and Pondaven, P.: Non-redfield carbon and nitrogen cycling in the Sargasso Sea: Pelagic imbalances and export flux, Deep-Sea Res. Pt. I, 50, 573–591,, 2003. a
Anugerahanti, P., Kerimoglu, O., and Smith, S. L.: Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition, Front. Mar. Sci., 8, 675428,, 2021. a, b
Armstrong, R. A.: An optimization-based model of iron–light–ammonium colimitation of nitrate uptake and phytoplankton growth, Limnol. Oceanogr., 44, 1436–1446,, 1999. a
Ayata, S. D., Lévy, M., Aumont, O., Sciandra, A., Sainte-Marie, J., Tagliabue, A., and Bernard, O.: Phytoplankton growth formulation in marine ecosystem models: Should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas?, J. Marine Syst., 125, 29–40,, 2013. a, b
Short summary
In large-scale models, variations in cellular composition of phytoplankton are often insufficiently represented. Detailed modeling approaches exist, but they require additional state variables that increase the computational costs. In this study, we test an instantaneous acclimation model in a spatially explicit setup and show that its behavior is mostly similar to that of a variant with an additional state variable but different from that of a fixed composition variant.