author	 = {Onur Kerimoglu and Fabian Große and Markus Kreus and Hermann Lenhart and Justes E.E. van Beusekom},
	title	 = {{A model--based projection of historical state of a coastal ecosystem: Relevance of phytoplankton stoichiometry}},
	year	 = {2018},
	editor	 = {},
	publisher	 = {Elsevier Science Publishers B. V.},
	address	 = {Amsterdam, The Netherlands},
	journal	 = {Science of the Total Environment},
	series	 = {639},
	pages	 = {1311--1323},
	issn	 = {0048-9697},
	doi	 = {},
	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.},
	url	 = {},

bibtex.txt · Last modified: 2018-01-24 17:13 (external edit)