Articles | Volume 14, issue 19
Biogeosciences, 14, 4499–4531, 2017
https://doi.org/10.5194/bg-14-4499-2017
Biogeosciences, 14, 4499–4531, 2017
https://doi.org/10.5194/bg-14-4499-2017

Research article 12 Oct 2017

Research article | 12 Oct 2017

The acclimative biogeochemical model of the southern North Sea

Onur Kerimoglu et al.

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Cited articles

Alvarez-Fernandez, S. and Riegman, R.: Chlorophyll in North Sea coastal and offshore waters does not reflect long term trends of phytoplankton biomass, J. Sea Res., 91, 35–44, https://doi.org/10.1016/j.seares.2014.04.005, 2014.
Amann, T., Weiss, A., and Hartmann, J.: Carbon dynamics in the freshwater part of the Elbe estuary, Germany: Implications of improving water quality, Estuarine, Coast. Shelf Sci., 107, 112–121, https://doi.org/10.1016/j.ecss.2012.05.012, 2012.
Arteaga, L., Pahlow, M., and Oschlies, A.: Global patterns of phytoplankton nutrient and light colimitation inferred from an optimality-based model, Global Biogeochem. Cy., 28, 648–661, https://doi.org/10.1002/2013GB004668, 2014.
Bauer, J. E., Cai, W.-J., Raymond, P. A., Bianchi, T. S., Hopkinson, C. S., and Regnier, P. A. G.: The changing carbon cycle of the coastal ocean., Nature, 504, 61–70, https://doi.org/10.1038/nature12857, 2013.
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Short summary
In this study, we present a coupled physical–biogeochemical model, in which the acclimation of autotrophs to their resource environment is resolved based on optimality arguments. The model is implemented in the southern North Sea, a shallow coastal system. Based on comparisons with multiple data sources, we show that the model can reproduce the variability in the system for the period 2000–2010 and analyze the mechanisms driving the large-scale, persistent coastal gradients in the system.
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