This paper assesses the annual dynamics of particulate organic matter concentrations in Baltic Proper seawater. Contemporary POC concentrations are modelled in the context of predicted increases in temperature and nutrient concentrations. Average values and increases of sea water nutrient concentrations, temperature and photosynthetically active radiation (PAR) recorded in the period 1965–1998 (Renk 2000) are used for evaluating realistic environmental conditions in the years to come. These factors have been selected as they are regarded as limiting

for phytoplankton primary production, thus influencing POC concentrations Alpelisib research buy directly and indirectly. Moreover, the rate of increase in these factors has already been quantified on the basis of actual observations (Renk 2000). The study concerns predictions for several areas of the southern Baltic Sea (Gdańsk Deep, Bornholm Deep and Gotland Deep). The biological part of the 1D CEM – Coupled Ecosystem Model (Dzierzbicka-Głowacka 2005, 2006), converted to a 1D POC – Particulate Organic Carbon Model with an

equation for dead organic matter (pelagic detritus), is presented in Dzierzbicka-Głowacka et al. (2010a) and Kuliński et al. (2011). The 1D POC model is an ecosystem model able to simulate the particulate organic carbon (POC) concentration as the sum of pelagic detritus and both phytoplankton and zooplankton biomass concentrations. In this model phytoplankton was modelled with the aid of only one state variable. The phytoplankton concentration was Chlormezanone taken to be a dynamically passive physical quantity, i.e. it was incapable of making autonomous movements. Cyanobacteria blooms

Raf kinase assay were not incorporated separately at this stage of the model development, so nitrogen fixation was ignored. The fact that cyanobacteria activity is less intense in the open sea than in the nearshore zone (Voss et al. 2005) provided additional motivation for choosing three stations located away from the coastal zone. Nutrients are represented by two components: total inorganic nitrogen (NO3− + NO2− + NH4+) and phosphate (PO43−). The temporal changes in the phytoplankton biomass are caused by primary production, excretion, mortality, grazing by zooplankton and sinking. The zooplankton biomass is affected by ingestion, excretion, faecal production, mortality and carnivorous grazing. The changes in the pelagic detritus concentration are determined by the input of dead phytoplankton and zooplankton, the natural mortality of predators, faecal pellets, and sinks – sedimentation, zooplankton grazing and decomposition (Dzierzbicka-Głowacka et al. 2010a). The zooplankton variable represents zooplankton of the first order. They ingest both phytoplankton and pelagic detritus – dead organic material in the model. The closure term of the model system is the carnivorous grazing of the zooplankton. The way the closure term is formulated sets up the behaviour of the model.