Data base of timely, vertically, and horizontally highly resolved dispersal, stability, and drift distance of passively drifting particles in the Baltic Sea with the Kiel Baltic Sea Ice-Ocean Model (BSIOM)

This data set contains results produced by particle drift modeling exercises with the Kiel Baltic Sea Ice-Ocean Model (BSIOM) to analyze the variability of large scale drift patterns within the Baltic Sea. The provided parameters are: - Mean geographical distance [km], divided into north-south and east-west component- stability of particle drift distance- relative dispersal [%]The parameters were separated and averaged for the following time and space intervals:- drift duration [days] in 5 days increments from 5 to 50 days drift- vertical particle drift depth [m] with the following values: 2.5; 7.5; 12.5; 17.5; 25.0; 35.0; 45.0; 55.0; 65.0; 75.0; 85.0- horizontal resolution: 54.0°N to 66.0°N in 0.5° increments and 10°E to 30°E in 1° increments.The analyses based on this data set are described in more detail and results are discussed in the article.Connectivity between different populations of a species is a central parameter in the fields of ecology and evolutionary biology. We here provided decadally, regionally, and depth layer resolved information on connectivity and dispersal patterns for the entire Baltic Sea as a tool for supporting population genetic and ecological studies. The general method to assess dispersal used was bio-physical modelling, which is suitable for biological dispersal that is highly influenced by the physical water transport in ocean circulation. The results were assessed from Lagrangian particle tracking using ocean circulation model outputs. Generally, for the whole Baltic Sea as well as for all subareas, we observed persistent patterns of dispersal that reflected the basin-like structure of the Baltic Sea, with less transport between the basins. At the same time, dispersal distance and in extension, local retention versus dispersal of particles to other sub-areas, varied considerably over four decades (1970–2010) and among regions within the Baltic Sea, corresponding to a range from high connectivity to partial dispersal barriers. Based on the example of Eastern Baltic cod we then investigated how our dispersal distance datasets can serve as a tool to assess dispersal and the expected connectivity among different populations of a species, as long as some biological information is available. For example, our finding of high dispersal of particles from the Bornholm Basin to the other Eastern Baltic basins could help to explain recent results indicating lack of genetic differentiation of cod across the eastern Baltic Sea. Our resu