Infralittoral mud
Short description
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 mud” includes classes “Fine mud”, “Mud to sandy mud” and “Sandy mud” 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.
Point of contact
HELCOM Secretariat
data@helcom.fi
Spatial extent
['7.530495', '34.131647', '52.277123', '66.475422']
Type
dataset
Metadata information
Identifier
Keywords
Habitats and biotopes ; GEMET - INSPIRE themes, version 1.0 ;

marine geology ; GEMET ;

MADS ; HOLAS2 ; ecosystem component ; broad benthic habitat ;

Resource provider(s)
HELCOM Secretariat
data@helcom.fi

Lineage
Data source: Broad-scale habitat map produced in EUSeaMap project (http://www.emodnet-seabedhabitats.eu/). For Germany and Estonia national datasets were used. Data quality: Broad-scale habitats describe the habitat distribution on a regional/large scale. They do not describe local scale variation in habitat distribution. Also the scale of the underlying substrate data varies (1: 250 000 to 1: 1 000 000). The dataset was approved by all HELCOM Contracting Parties in the HOLAS II Ecosystem component data review process during first quarter of 2017 after corrections from Germany and Estonia. Spatial resolution: The original data as polygons. Here generalized to 1 km x 1km grid cells.