These spatial patterns are accompanied and overlaid by various smaller patches representing Anti-cancer Compound Library supplier small-scale uses like dredging, wind farms, aquaculture or others. Also noticeable are gradients mainly

from north to south but also from east to west with lowest values (1–2.4) in the upper north (Bothnian Bay) and highest values in the south and south-west, e.g. Bay of Puck/Gdansk (19.88–27.88), Arkona Basin/Mecklenburg Bight (15.92–18.52), Fehmarn Belt (13.56–19.44) and Wismar Bight (15.68–18.72). These gradients can be found also in the underlying IMSC and BSII maps which are mutually consistent in their spatial distribution patterns. Additionally several areas of coastal water show higher values than adjacent open waters, e.g. Finnish

coast, south-eastern coast of Sweden, Estonian and Polish coastal waters. A factor which potentially relates with these gradients is the level of landward Adriamycin clinical trial population and the varying population density in nearby areas is also shown in Fig. 1. On a larger scale, population distribution in states around the Baltic Sea shows parallels with the distribution of marine anthropogenic activities with the highest values evident in the south and south-west and lowest values in the north. This, however, is true only on a larger pan-Baltic scale. On the local level a significant relation between coastal population density and maritime activities could not be found. Areas like Stockholm for instance show high population density with low maritime activities while, for example, waters in front of Kurzeme Region (western Latvia) show relatively high activity values but a low population density in the region itself. The city of Gdansk and the Bay of Puck again show high population density values together with a high density of maritime activities while waters in front of Copenhagen, which has an even higher population density, show less maritime

activities. While on oxyclozanide a larger scale a correlation between population density distribution and the distribution of maritime activities and environmental impacts exists, this relation cannot be proved at the local scale in the Baltic Sea region. Fig. 2 sets the distribution of combined IMSC and BSII values alongside the distribution of maritime employment index values (IME) and indicates that this also partly corresponds. For example a low share of maritime jobs in the north complies with very few maritime activities and low environmental impacts in this region. However, in other areas this connection cannot be established as it is overlaid by various effects. In those states where the economy reflects transition processes traditional maritime sectors (e.g. transport, ports, fisheries) still contribute a relatively large share to the national economy and this is reflected in employment statistics (e.g.