Shellfish production in kilograms in 2010-2015 in geometry form: area (polygon). Swedish data covers only the permitted production in year 2015 (Swedish data in the point dataset). The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark (area), Germany (points) and Sweden (points). The activity was declared as not relevant in Estonia, Finland, Latvia, Lithuania, Poland and Russia. Attribute specification and units ID: Mariculture identification (DK) NR: Identification number (DK, mariculture permits) Country: Country AVG_all: A calculated average of production in 2010-2015 (Kg/year) AVG_11_15: A calculated average of shellfish production in 2011-2015 (Kg/year) 2010_Kg – 2015_Kg: An annual shellfish production (Kg) Area: Area of the shellfish mariculture (km2)

Mudflats and sandflats not covered by seawater at low tide (according to Habitats Directive Annex I) are often devoid of vascular plants, usually coated by blue algae and diatoms. They are of particular importance as feeding grounds for wildfowl and waders. The distribution map is based on data submission by HELCOM contracting parties. Only Denmark, Germany and Estonia reported occurrences of mudflats and sandflats. Most of the submitted data is based on modelling and/or GIS analysis. Data coverage, accuracy and the methods in obtaining the data vary between countries.

Distribution of Fucus sp. based on data submission by HELCOM contracting parties. Mainly pointwise occurrences of Fucus were submitted, originally gathered in national mapping and monitoring campaigns, or for scientific research purposes. From Estonian waters, a predictive model was used (200m resolution), that was converted to presence/absence using minimized difference threshold (MDT) criteria. All data (Fucus points and the raster presenting predicted presence of Fucus) were generalized to 5km x 5km grid cells.

This dataset contains all PCB in sediment monitoring station locations as reported to HELCOM secretariat by HELCOM Contracting Parties by 2016.

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “infralittoral hard substrate” includes classes “Rock and other hard substrate” and “Coarse substrate” of the original data, in the infralittoral zone. The original polygon maps have been converted to 1 km x 1 km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.

Data of fish farming facilities along the Baltic coast. Annual and average finfish production and nutrient load (total phosphorus and total nitrogen) is given, if known. The data was made available by HELCOM Contracting Parties in response to data request. The data was received from Denmark, Finland, Germany and Sweden. The activity was declared as not relevant for Estonia, Latvia, Lithuania and Poland, thus there is no activity within those Contracting Parties. No data received from Russia. Nutrient inputs from fish farms in Denmark are calculated on the basis of production data. From Germany only the locations for the fish farming facilities are given. Information on the annual production and nutrient loads are confidential for reasons of competition and not accessible. Some numbers that were missing on nutrient input in Sweden have been calculated by SCB, Statistics Sweden (red numbers) based on average input/ amount produced fish. No exact area (km2) of the finfish mariculture was available, hence an estimate is given if been possible to calculate. Attribute specification and units: X_ETRS89: X coordinate point Y_ETRS89: Y coordinate point Subbasin: Baltic Sea sub basin Country: Country id (DK = Denmark, FI = Finland, SE = Sweden) County: County Name: Name of the fish farming company Comments: Notes regarding the data Area: Estimated area (km2) of finfish mariculture (value is given, if information was available) Pr_Sum_ton: Total (Sum) production in tonnes Pr_Av_ton: Average production (tonnes)/year P_Sum_ton: Total phosphorus load in tonnes P_Av_ton: Average phosphorus load (tonnes)/year N_Sum_ton: Total nitrogen load in tonnes N_Av_ton: Average nitrogen load (tonnes)/year Pr2011_ton – Pr2015_ton: Annual production (tonnes/year) P_2011_kg – P_2015_Kg: Annual phosphorus loading in kilograms (Kg P / year) N_2011_kg – N_2015_Kg: Annual nitrogen loading in kilograms (Kg N / year)

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “circalittoral mixed substrate” includes classes “mixed sediment” of the original data, in the circalittoral zone. The original polygon maps have been converted to 1 km x 1 km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.

Springtime Chl-a concentration is here used as a proxy for productive surface waters. In the Baltic Sea Impact Index (BSII), areas with high springtime phytoplankton production will be given higher importance, as they are considered important areas for the Baltic Sea food web. In the current map, mean of springtime maximum weekly values (weeks 12-22, years 2003-2011) Chl-a concentration of the surface waters has been used, derived from satellite data (MERIS). Years 2003-2011 have been used, as there is no MERIS data available for years 2012-2016. The data for eastern Baltic Sea is provided by the Finnish Environment Institute (~300m resolution). Outside this high resolution data, MERIS-data downloaded from JRC-database has been used (~4 km resolution, to calculate average of maximum monthly values for April or May for 2003-2011). Both datasets were converted to 1 km x 1 km grid cells.

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “circalittoral hard substrate” includes classes “Rock and other hard substrate” and “Coarse substrate” of the original data, in the circalittoral zone. The original polygon maps have been converted to 1 km x 1 km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.

Broad-scale habitat maps for the Baltic Sea have been produced in the EUSeaMap project in 2016. For German and Estonian marine areas, national (more accurate) datasets were used. German data included both substrate and light information (division into infralittoral/circalittoral). Estonian data included only substrate and the division into light regimes was obtained from the EuSeaMap data. Here, the habitat class “infralittoral mixed substrate” includes classes “mixed sediment” of the original data, in the infralittoral zone. The original polygon maps have been converted to 1 km x 1km grid. The scale of the substrate data used in broad-scale habitat maps varies from 1:250 000 to 1:1M (data from EMODnet Geology). Coarser resolution data has been used in areas, where 1: 250 000 substrate data has not been available. Due to different scales used, the habitat classes may show different sized patterns in different areas.