| Abstract [eng] |
Eutrophication is a global problem in many lakes and marine coastal areas (Gürevin et al., 2016; Bresciani et al., 2012; Gasiūnaitė et al., 2005). This process could lead to hypoxia and anoxia in bottom waters, intense growth of phytoplankton and other aquatic plants (Aleksandrov et al., 2018; Gürevin et al., 2016; McGlathery et al., 2007; Gasiūnaitė et al., 2005). Nitrogen and phosphorus are two key elements that cause the increase of nutrients and growth of aquatic plants (Boeykens et al., 2017; Yang et al., 2008; Gamitos et al., 2005). Coastal lagoons are highly vulnerable to eutrophication (Vaikutienė et al., 2017; Gürevin et al., 2016; McGlathery et al., 2007) and the Curonian lagoon is a good example of that. To understand and quantify the processes occurring in coastal lagoons, we can use simulation models (ecological modeling methods) (Gürevin et al., 2016). Modeling is a useful tool for coastal lagoons management (Gürevin et al., 2016; Jørgensen, 2008), to evaluate the potential impacts of external forcing and to understand the system function (Paškauskas et al., 2016). In this study, the ESTAS-AQUABC model was used, which was calibrated and adapted to the Curonian Lagoon. The modelled seasonal dynamics of inorganic nutrient concentrations were not followed perfectly, mostly due to the absence of bentho-pelagic exchange processes. For the spatial distribution, an analysis was used QGIS 3.4 program where calibrated data were analyzed and were created spatial distribution maps of the model's state variables (NH4-N, NO3-N, PO4-P). |
