@misc{kerimoglu_a_modelbased_2018, 
author={Kerimoglu, O.,Große, F.,Kreus, M.,van Beusekom, J.},
title={A model-based projection of historical state of a coastal ecosystem: Relevance of phytoplankton stoichiometry},
year={2018},
howpublished = {journal article},
doi = {https://doi.org/10.1016/j.scitotenv.2018.05.215},
abstract = {We employed a coupled physical-biogeochemical modelling framework for the reconstruction of the historic (H), pre-industrial state of a coastal system, the German Bight (southeastern North Sea), and we investigated its differences with the recent, control (C) state of the system. According to our findings: i) average winter concentrations of dissolved inorganic nitrogen and phosphorus (DIN and DIP) concentrations at the surface are ∼70–90% and ∼50–70% lower in the H state than in the C state within the nearshore waters, and differences gradually diminish towards off-shore waters; ii) differences in average growing season chlorophyll a (Chl) concentrations at the surface between the two states are mostly less than 50%; iii) in the off-shore areas, Chl concentrations in the deeper layers are affected less than in the surface layers; iv) reductions in phytoplankton carbon (C) biomass under the H state are weaker than those in Chl, due to the generally lower Chl:C ratios; v) in some areas the differences in growth rates between the two states are negligible, due to the compensation by lower light limitation under the H state, which in turn explains the lower Chl:C ratios; vi) zooplankton biomass, and hence the grazing pressure on phytoplankton is lower under the H state. This trophic decoupling is caused by the low nutritional quality (i.e., low N:C and P:C) of phytoplankton. These results call for increased attention to the relevance of the acclimation capacity and stoichiometric flexibility of phytoplankton for the prediction of their response to environmental change.},
note = {Online available at: \url{https://doi.org/10.1016/j.scitotenv.2018.05.215} (DOI). Kerimoglu, O.; Große, F.; Kreus, M.; van Beusekom, J.: A model-based projection of historical state of a coastal ecosystem: Relevance of phytoplankton stoichiometry. Science of the Total Environment. 2018. vol. 639, 1311-1323. DOI: 10.1016/j.scitotenv.2018.05.215}}