Stofftransport und Ökosystemdynamik

Modelle

ECOSMO

Ecosmo Graphic

ECOSMO II (ECOSystem Model) is a 3d fully coupled physical-biogeochemical model (Daewel and Schrum, 2013; Schrum et al., 2006a). The model is based on HAMSOM (HAMburg Shelf Ocean Model) North and Baltic Sea physics (Schrum, 1997; Schrum and Backhaus, 1999; Barthel et al. 2012). The biogeochemical processes in ECOSMO II are simulated using 16 state variables to resolve ecosystem dynamics by a functional group approach (Fig. 2). The model estimates two zooplankton functional groups, three phytoplankton groups, the nitrogen, phosphorus and silicon cycle, oxygen, detritus, biogenic opal, dissolve organic matter, and three sediment groups. The model was used for a multi-decadal long-term simulation and validated in detail (Daewel and Schrum, 2013, 2017a). The validated 3-d model data set is available through the coastDat database in daily resolution (Daewel & Schrum, 2017b), higher resolution upon request.

ECOSMO E2E

Ecosmo E2e Graphic

To address food web related questions in the Baltic Sea, we developed the 3d coupled ecosystem model ECOSMO E2E (Daewel and Schrum, 2016), which is an NPZD-Fish modelling approach that bases on the ecosystem model ECOSMO II (Daewel and Schrum, 2013). The model represents both fish and macrobenthos as functional groups that are linked to the lower trophic levels via predator-prey relationships (Figure). The model allows investigating bottom-up impacts on primary and secondary production and cumulative fish biomass dynamics, but also bottom-up mechanisms on the lower trophic level production.

ECOSMO-IBM

Ecosmo Ibm Graphic

Using spatially explicit Individual Based Models (ECOSMO-IBM) we are able to address scientific questions related to early life stages of marine species. With help of this model setup we can follow the trajectories of individual particles in both space and time. The ECOMSO-IBM model was first described by Daewel et al. (2008) in an application for sprat (Sprattus sprattus). An additional IBM submodule for North Sea Atlantic cod has been parameterized and described in detail by Daewel et al. (2011a). The latter has been used for a long-term simulation coupled to the ECOSMO II biogeochemistry to resolve changing potential of larvae survival in the North Sea (Daewel et al., 2015). A statistical IBM exists also for brown shrimp (Daewel et al., 2011b).

Further modules are available within the ECOSMO framework to resolve the fate and transport of pollutants (e.g. Bieser and Schrum, 2016, 2018)