Use constraints: Data can be used freely given that the source is cited.

Data source:

The commercial landings data has been downloaded from EU Joint Research Centre’s data collection framework for fisheries data. Available https://stecf.jrc.ec.europa.eu/dd/effort/graphs-quarter. Russian data extracted from ICES annual reports. Data from Russia was only available at the scale of ICES sub-divisions and was equally redistributed to all ICES rectangles within that sub-division. The recreational fisheries data is based on the reports of ICES Working Group on Recreational Fisheries Surveys (WGRFS). See also separate fact sheets for both data sets (links above in the abstract).

Data processing:

Average values (2011-2016) per square kilometre (tonnes/km²) was calculated for both data sets. Commercial landing values were redistributed within each ICES rectangle by the c-square fishing effort data provided to HELCOM by ICES (all gears, 2011-2013). Effort values were missing from Russia and sub basin average values given. The maximum value of tonnes per square kilometre from the original ICES rectangles was used to scale the maximum value for commercial catches. The data sets were summed, log-transformed and then normalised to produce the final pressure layer.

Data quality:

The commercial landings data is obtained from one source, but there may be gaps or mistakes in the reporting of the landings data. The effort data used to redistribute landing values was only available for the years 2011-2013. This lowers the quality of data to some extent, however the large scale pattern of fishing can be considered to be relatively stable. The recreational fishing data is reported per country, thus it does not take into account variation in landings within country.

Attribute information:

Final normalised pressure value (0-1)

Spatial coverage:

Entire Baltic Sea.

Spatial resolution:

Original data reported in ICES statistical rectangles (commercial landings), ICES c-squares (redistribution) and by country (recreational landings). Here 1 km x 1 km grid.