Biomass of 10 bivalve species was modelled in the south-western Baltic Sea using RF.
The RF-algorithm was able to reproduce the distribution pattern of these species.
Three biomass hot-spot areas with different dominating species were detected.
Salinity, water depths, substrate and food availability were the main drivers.