HELCOM Metadata catalogue
HELCOM Metadata catalogue (Helcom)
Continents, countries, sea regions of the world.
Fishing intensity total 2015 subsurface gear v2
This dataset describes fishing intensity for subsurface mobile bottom contacting gear in 2015 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.
Use constraints: The data products derived from the advice are downloadable from HELCOM Map and Data service and can be used freely given that the source is cited. The correct data product citation is following: ICES. 2017. Spatial data layers of fishing intensity/pressure per gear type for surface and subsurface abrasion, for the years 2009 and 2016 in the HELCOM area. Available as shapefile datasets at: https://doi.org/10.17895/ices.pub.2860.
Access constraints: No limitations on public access.
ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD HELCOM secretariat downloaded the data and did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. After processing, the datasets were published via HELCOM Map and Data service as individual map layers. Dataset corrected in January 2019: Upon request of the data provider outputs have been updated by ICES to better ensure vessel anonymity. Three ICES advice products (associated with sr.2018.14, sr.2017.17, and sr.2017.18) that use VMS and logbook data to describe detailed bottom trawling fishing activity have been updated to better ensure individual vessel anonymity. For these products, the level of gear grouping dis-aggregation at a c-square resolution of (0.05 degrees x 0.05 degrees) over one year were deemed too detailed by the original data provider subsequent to the release of the original advice. For these c-squares (containing 3 vessels or less) the value "-9" has been inserted to indicate that the data value for effort is missing from the c-square, but that the c-square does have a footprint from bottom trawling.
The shipping density map highlights the intensity of all IMO registered ships operating in the Baltic Sea for the period 2016-2020. It was extracted from the HELCOM AIS (Automatic Identification System) dataset (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/2558244b-0cea-46e9-8053-af6ef5d01853).
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS 3 Dataset (2023)".
The density map is based on a grid from the European Environment Agency (EEA) and is following the INSPIRE geographical grid systems. It is dividing the Baltic Sea into cells of 1 km by 1 km. For each month, a value was assigned to each cell of the grid. The value is the number of trips crossing the particular cell. A trip is defined as a movement of a ship between two ports or from/to outside the Baltic Sea. A total of 245 ports and 5 areas defining the borders of the Baltic Sea were used to generate the trips as lines. The lines are joining the AIS signals (points) for each ship traveling between the ports or from/to outside the Baltic Sea. The lines were applied to the grid to count the total number of lines crossing each cell for each month. The final map displays the average per cell from 2016 to 2020.
Monitored and unmonitored sub-catchments
Dataset description: The dataset reflects spatial delineation of monitored and unmonitored sub-catchments used to compile data on inputs of nutrients and hazardous substances to the Baltic Sea sub-basins in the HELCOM Pollution Load Compilation. The sub-catchments are the smallest entities for which inputs of nutrients and hazardous substances to the Baltic Sea are reported. The sub-catchments are always located within borders of a single country and drain into a single Baltic Sea sub-basin. Sub-catchments may correspond to either monitored or unmonitored areas. Unmonitored sub-catchments may represent either unmonitored parts of river catchments or aggregated unmonitored areas (depending on the reporting format of each Contracting Party). Polygonal features in the dataset have attributes indicating whether a sub-catchment represents monitored or unmonitored area. A specific attribute indicates that the sub-catchment is in the upstream country of a transboundary river catchment. The data is reported to the HELCOM Map and Data Service (MADS) and quality assured by Contracting Parties to HELCOM in accordance with the HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (HELCOM PLC-Water Guideline). Dataset content: Polygonal feature class contains the following attributes: Sub-catchment code (subc_code): unique HELCOM PLC code Sub-catchment name (subc_name): sub-catchment name corresponds to the name of the river or coastal area River code (r_code): unique HELCOM PLC code. Country code (c_code): DK; EE; FI; DE; LV; LT; PL; RU; SE; BY; UA; CZ; SK. Sub-basin code (subb_code): ARC; BAP; BOB; BOS; GUF; GUR; KAT; SOU; WEB. Monitoring (monitoring): monitored (M), unmonitored (U) Transboundary (transboundary): Field values are: TRANS (for downstream parts of transboundary rivers and border rivers), a country code (indicates the downstream country for upstream parts of transboundary rivers), or N/A (river is non transboundary). Area km2 (area_km2): sub-catchment area in km2 Year (year). Country codes used in the dataset correspond to: BY-BELARUS, CZ-CZECH REPUBLIC, DK-DENMARK; EE-ESTONIA; FI-FINLAND; DE-GERMANY; LV-LATVIA; LT-LITHUANIA; PL-POLAND; RU-RUSSIA; SK-SLOVAKIA; SE-SWEDEN; UA-UKRAINE. The Baltic Sea sub-basin codes used in the dataset are: ARC-ARCHIPELAGO SEA; BAP-BALTIC PROPER; BOB-BOTHNIAN BAY; BOS-BOTHNIAN SEA; GUF-GULF OF FINLAND; GUR-GULF OF RIGA; KAT-KATTEGAT; SOU-SOUND; WEB-WESTERN BALTIC. Visualization: Map layer of monitored and unmonitored areas. Map layer of transboundary and border rivers. Catchment areas of Baltic Sea sub-basins. Data update: Metadata is updated by HELCOM Secretariat annually by 1 April. The dataset is updated by HELCOM Secretariat annually by 1 April.
Use constraints: Data can be used freely given that the source (HELCOM) is cited.
The data is reported to the HELCOM database and quality assured by Contracting Parties to HELCOM in accordance with the HELCOM Guidelines for the annual and periodical compilation and reporting of waterborne pollution inputs to the Baltic Sea (PLC-Water Guidelines).
Benthic habitats integrated assessment result HOLAS 3
The dataset presents the status of the benthic habitats. The assessment is carried out by integrating the results of two state and one pressure indicator: State of the soft-bottom macrofauna community, Oxygen debt and Cumulative impact from physical pressures on benthic biotopes (CumI), respectively. The spatial unit of the assessment is comprised of areas resulting from the overlay of the separate indicators data sets. A relatively simple integration approach was applied for overlaying the state and pressure indicators, by using a decision tree with specific rules to determine the final status for the overlapping units. The physical loss areas, taken from the Spatial Pressure and Impact Assessment, are clipped out from the assessment and presented as separate units. The lineage section further down gives a more detailed description of the methodology. Attributes BHT: The MSFD broad habitat type Level_2: HELCOM level 2 assessment unit ind_present: Inidcators present in the spatial unit Cumi_class: The result class of the indicator Cumulative impact from physical pressures on benthic biotopes (CumI) cumi_value: The result class converted to a numerical representation Cumi_cnf: the Cumi confidence value state_ind_value: The value for the state indicator present in the spatial unit state_ind_cnf: The confidence value for state indicator BI_value: The final result value for the benthic integration achieve_fail: The achieve / fail / loss / Not assessed category for the final result value confidence: The confidence of the final result value area: Are of the spatial unit in square kilometers
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS 3 Dataset (2023)
Input data The results of the CumI (pressure indicator) was used directly in the assessment, the spatial unit in the assessment is based on the MSFD broad habitat types and HELCOM assessment unit level 2. These areas were intersected with the human activities layers to produce the final polygons (areas). Cumi result categories were converted into numerical values for the assessment. The state component of the assessment is based on a single data layer, where all state indicators are spatially integrated (no overlap) based on their relevance in terms of depth and bottom habitat. The numerical value of the indicator evaluation was used for the assessment. Spatial analysis A GIS overlay was be carried out to establish the respective polygons where different indicator components. Where a single indicator evaluation was present in any given polygon, that evaluation and confidence evaluation was applied as the overall result. A confidence penalty was however be applied to the overall outcomes. Where two indicator components were available (i.e. CumI and one of the state components) an integration of the scores was applied based on specific rules. The rules essentially meant that the risk/impact evaluation by CumI was only applied to reduce the state assessment outcome and never to increase the outcome of the state component. The following rules were used (cumi status/state status/rule): Fail/Fail/40:60 weighting; Fail/Achieve/40:60 weighting; Fail/No input/CumI direct; No input/Fail/State direct; Achieve/Fail/State direct; Achieve/Achieve/40:60 weighting; Achieve/No input/CumI direct; No input/Achieve/State direct. Confidence in the overall assessment was calculated in the same manner. Additional information can be found in the HELCOM thematic assessment on Biodiversity. Information on the indicators used as input data in the assessment can be found in their respective metadata sites State of the soft-bottom macrofauna community: (https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/e9e92045-dc10-48c0-96db-fc08bd294ba2) Oxygen debt (open sea): https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/e948960d-3803-45de-ad79-c23ad7f296a5 Shallow water oxygen: https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/773810ac-dd18-4485-b042-2eb26ac7a177).
Observations of Aythya fuligula were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Aythya fuligula has been placed to the Red List category of Near Threatened (NT) species. The map shows the species range only during the breeding season.
Use constraints: Data can be used freely given that the source (HELCOM, 2012) is cited.
This dataset displays distribution of Aythya fuligula according to HELCOM RED LIST assessment based on the following data sources: (Data from Herrmann / bird expert team of the HELCOM Red List project 2009-2013, published in 2012)
This is a dataset of designated places of refuge reported by HELCOM member countries by year 2011.
Use constraints: Data can be used freely given that the source is cited.
This web mapping service contains datasets on land-based pollutions sources, human activities and aggregated pressure layers used for Baltic Sea Pressures and Impact Index. The service is created with ArcGIS Server 10.6.1 and can be accessed via ArcGIS REST interface or OGC WMS. The service is used by HELCOM Map and Data service.
Observations of Macoma calcarea were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Macoma calcarea has been placed to the Red List category of Vulnerable (VU) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 1 - Present before year 2000 or in 2000, 2 - Present after year 2000, 3 - Present both before and after year 2000.
Use constraints: Data can be freely used when cited the original data from SMHI, MADS, and the Finnish Environment Institute.
This dataset displays distribution of Macoma calcarea according to HELCOM RED LIST assessment based on the following data sources: The georeferenced records of species compiled from the Danish national database for marine data (MADS) and from the databases of the Swedish Species Information Centre (Artportalen), Swedish Meteorological and Hydrological Institute, International Council for the Exploration of the Sea (ICES), Finnish Environment Institute, and the Leibniz Institute for Baltic Sea Research (IOW). (Data downloaded from SMHI in 9 April 2011, from MADS in June 2011, and from Finnish Environment Institute in March 2011)
This dataset includes assessment units in scale 2. HELCOM Subbasins 2022 (Division of the Baltic Sea into 17 sub-basins) as defined in the http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Monitoring%20and%20assessment%20strategy/Monitoring%20and%20assessment%20strategy.pdf.
Dataset has been prepared based on polygons of HELCOM open sea basins and merged to WFD water types and water bodies as submitted by HELCOM contracting parties. The dataset was corrected in 11 September 2017 regarding Sound-Arkona and Kattegat-Great belt border. This dataset was updated in September 2017 following the update of http://www.helcom.fi/Documents/Action%20areas/Monitoring%20and%20assessment/Monitoring%20and%20assessment%20strategy/Monitoring%20and%20assessment%20strategy.pdf as agreed in https://portal.helcom.fi/meetings/STATE - CONSERVATION 6-2017-412/MeetingDocuments/Outcome of State and Conservation 6-2017.pdf. Islands under 1 ha have been removed from the dataset and polygon shape have been simplified with ArcGIS bend simplify tool with 100m maximum allowable offset in September 2017. The dataset was updated again in 2022 with changes collected for HELCOM assessment units to be applied in HOLAS III, presented on State and Conservation 15-2021, document 3J-94: https://portal.helcom.fi/meetings/STATE%20-%20CONSERVATION%2015-2021-843/MeetingDocuments/3J-94-Rev.2%20Summary%20of%20HELCOM%20assessment%20unit%20changes%20for%20HOLAS%20III.pdf In august 2022 the dataset was updated to incorporate changes on the Danish coast, resulting in changes in the areas of Kiel Bay and the Great Belt.
Integrated biodiversity status assessment - benthic habitats 2018
This dataset represents the Integrated biodiversity status assessment for benthic habitats using the BEAT tool. Status is shown in five categories based on the integrated assessment scores obtained in the tool. Biological Quality Ratios (BQR) above 0.6 correspond to good status. The assessment in open sea areas was based on the core indicators ‘State of the soft-bottom macrofauna community’ and ‘Oxygen debt’. Coastal areas were assessed by national indicators, and may hence not be directly comparable with each other. This dataset displays the result of the integrated biodiverity status in HELCOM Assessment unit Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute information: "BQR" = Biological Quality Ratio "Confidence" = Confidence of the assessment "HELCOM_ID" = id of the HELCOM assessment unit "country" = name of the country / opensea "level_2" = HELCOM sub-basins (name of the scale 2 assessment unit) "Name" = Name of the coastal assessment unit on scale 4 "AULEVEL" = scale of the assessment units "type_descr" = Name of the HELCOM scale 4 assessment unit "SAUID" = ID number for the spatial assessment unit "EcosystemC" = Ecosystem component assessed "Confiden_1" = Confidence of the assessment (0-1, higher values mean higher confidence) "Total_numb" = Number of indicators used in assessment "Area_km2" = Area of assessment unit (km2) "Confiden_1" = Confidence level of the assessment (scores < 0.5 = low, 0.5 - 0.75 = intermediate, > 0.75 = high) "STATUS" = Integrated status category (0-0.2 = not good (lowest score), 0.2-0.4 = not good (lower score), 0.4-0.6 = not good (low score), 0.6-0.8 = good (high score), 0.8-1.0 = good (highest score))
For open sea areas, core indicators that were used to calculate the integrated biodiversity status assessment - benthic habitats: - http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/79a6f8a8-05c4-4113-bfd6-ee671bc06a86 - http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/9d9904ba-45f9-4392-9655-20e12a247fad Coastal areas were assessed with national indicators and may not be directly comparable with each other. Additional information can be found in "State of the Baltic Sea report" and on the http://stateofthebalticsea.helcom.fi/
Open Monitored and unmonitored sub-catchments in Map Viewer
Open Transboundary and border rivers in Map viewer
Open Catchment areas of Baltic Sea sub-basins in Map Viewer
Download Catchment areas of Baltic Sea sub-basins dataset
Perfluorooctane sulphonate PFOS in biota results HOLAS 3
This core indicator evaluates the status of the marine environment based on concentrations of perfluorooctane sulphonate (PFOS) in biota. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Good status is achieved when the concentrations of PFOS are below the threshold value. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute specifications and units: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "country": country in which the HELCOM assessment unit is located or a mention to an open sea area "level_2" = Name of the HELCOM assessment unit in scale 2 "Name" = Name of the HELCOM assessment unit in scale 4 "Open_sea" = Name of the HELCOM assessment unit in the open sea "F2_Name" = Name of the HELCOM assessment unit "determinan" = Determinat "est" = The estimated mean loge concentration in the assessment unit "se" = The standard error on the estimated mean log concentration in the assessment unit "fit" = The estimated mean concentration in the assessment unit "upper_cl" = Upper one-sided 95% confidence limit on the mean concentration: exp(est + qnorm(0.95) * see) "Status" = Overall Status of the indicator according to one-out-all-out
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS 3 Dataset (2023)"
The data used in the assessment is based on data from the HELCOM COMBINE database to which Contracting Parties report regular monitoring data.The data are extracted based on the HELCOM core indicator extraction table. The assessment protocol is structured in three main parts, 1) changes in log concentrations over time are modelled, 2) check for compliance against threshold value and evidence for temporal change of contaminant concentration per station and 3) a spatial aggregation of status per assessment unit. Confidence of the indicator evaluation results is considered to be high for those areas for which data are available. Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/perfluorooctane-sulphonate-(pfos)/
Observations of Zostera noltii were collected from the Baltic Sea area for HELCOM Red List species list. The HELCOM Red List of Baltic Sea species in danger of becoming extinct (2013) is the first threat assessment for Baltic Sea species that covers all marine mammals, fish, birds, macrophytes (aquatic plants), and benthic invertebrates, and follows the Red List criteria of the International Union for Conservation of Nature (IUCN). Almost 2800 species were considered in the Red List assessment and about 1750 were evaluated according to the IUCN Red List criteria. Zostera noltii has been placed to the Red List category of Vulnerable (VU) species. Dataset for download contains spatial grid of the Baltic Sea. Distribution of the species can be found in corresponding name column. Values are coded: 0 = no observations 1 = present before year 1995 or in 1995 2 = present after year 1995 3 = present before and after year 1995
Use constraints: Data can be freely used when cited the original data from MADS, Artportalen, and MARIDATA.
This dataset displays distribution of Zostera noltii according to HELCOM RED LIST assessment based on the following data sources: The records of species compiled from the Danish national database for marine data (MADS), the German database for macrophyte occurrences (MARIDATA) and Swedish Species Gateway (www.artportalen.se). (Downloaded from MADS, Artportalen, and MARIDATA on 31 May 2012)
Operational oil spills from ships 2018 data
Illegal oil discharges data is based on airborne surveillance supplemented with remote sensing equipment in the Baltic Sea Area carried out by HELCOM Contracting Parties within HELCOM IWGAS group. Aerial surveillance is limited within Russia and Latvia. Attribute information: "HELCOM_ID" = HELCOM ID "Country" = Country of observation "Year" = Year of observation "FlightType" = Flight observation performed at Day or Night "Date" = Date of the observation "Time_UTC" = Time of the observation (time zone is UTC) "Wind_speed" = Wind speed during observation "Wind_direc" = Wind direction during observation "Latitude" = longitude coordinate of observed oil spill "Longitude" = longitude coordinate of observed oil spill "Length__km" = length in km "Width__km_" = Width in km "Area__km2_" = Area in km2 "Spill_cat" = Spill category (oil or orther substance detected) "EstimVol_m" = Estimated volume of oil spill (m3) "Category" = Category of oil spill "SPILL" = Spill ID
Use constraints: Data can be used freely given that the source is cited (following creative commons license CC-BY). The source should be cited as: “HELCOM HOLAS II Dataset: Illegal oil discharges (2018)”.
Monitoring data on oil spills in the Baltic Sea is available since 1988, however, the annual reporting activities in the HELCOM framework started in 2000. Data is annually reported to the HELCOM Secretariat by the Contracting Parties which have conducted surveillance activities in the reporting year and the data is stored in a database hosted by the HELCOM Secretariat and made publically available on-line. Reporting of the annual surveillance activity by the Contracting Parties to the HELCOM Secretariat is described in the Response Manual according to an agreed format and data standards. Quality assurance of data reported by the Contracting Parties is done by the HELCOM Secretariat. Years 2011-2016 were extracted from the HELCOM Illegal oil discharges database. The database have been quality assured annually by HELCOM Secretariat and IWGAS group. DATA AND UPDATING ACCESS AND USE The data and resulting data products (tables, figures and maps) available on the indicator web pages can be used freely given that the source is cited. The indicator should be cited as following: HELCOM (2018) Oil-spills affecting the marine environment. HELCOM core indicator report. Online [Date viewed], [Web link] Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/operational-oil-spills-from-ships Link to metadata of the indicator: http://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/76abf1c5-e731-4c4f-809d-cfa2ceebacc7
This dataset describes fishing intensity for OT SPF mobile bottom contacting gear in 2012 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). ICES secretariat collected during 2017 relevant VMS and logbook data for 2009-2016 to produce, as a technical service to HELCOM, updated spatial data layers on fishing intensity/pressure. Improved data quality control checks were implemented. Submitted data across the HELCOM area have improved in quality compared to previous data 2009-2013 published in 2015. Standardized methods were used to produce the requested data layers. The code used to create the data products is available here: https://github.com/ices-eg/wg_WGSFD For further technical information on the advice request, see http://www.ices.dk/sites/pub/Publication%20Reports/Advice/2017/Special_requests/helcom.2017.18.pdf HELCOM secretariat did the following processing to the shapefile provided by ICES: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon Year: Year of fishing activity mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees SurfaceSAR: Surface area ratio (Swept area, < 2 cm penetration depth of the gear components) Subsurface: Subsurface area ratio (Swept area, subsurface =>2 cm penetration depth of the gear components) totweight: Total Weight (kg) totvalue: Total value (Euros) Kw Fishing Hours: (Kw*h) Fishing hours: (h) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data). Please note that this dataset was updated (v2) in January 2019, see further details below in the lineage section.
The dataset contains information on commercial fishery in Baltic Sea in 2007 (Lithuanian data from 2008). Catches/landings are given per ICES rectangle, both as total values and per fishing gear type. The dataset contains information on commercial fishery in Baltic Sea in 2007 (Lithuanian data from 2008). Catches/landings are given per ICES rectangle, both as total values and per fishing gear type. The gear categories are: 0 = unspecified, 1 = surface and mid-water gears, 2 = bottom trawling gears and 3 = coastal and stationary gears. All values are in tons. Data was requested from HELCOM contracting parties through HELCOM HOLAS project. Landings/ catches data from Finland, Sweden, Denmark, Germany, Poland, Lithuania, Latvia and Estonia is based on national data, while Russian data is based on the ICES report "Report of the Baltic Fisheries Assessment Working Group (WGBFAS)" (2008). Commercial fishery data was reported by the following persons/authorities to HELCOM Secretariat: Germany:Dr. Christopher Zimmermann (Institut für Ostseefischerei (OSF), Johann Heinrich von Thünen-Institut (vTI), Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei) Lithuania: Open sea: Irina Jakovleva (Fisheries Reguliation Division, Baltic Sea Fisheries Department, Fisheries Department under the Ministry of Agriculture); coastal: Rimantas Repecka (Head of Laboratory of Marine Ecology, Institute of Ecology of Vilnius University) Sweden: Jarl Engquist (Avdelningen för fiskerikontroll, Swedish Board of Fisheries) Latvia: Marina Fettere (Fishery and Information section, Latvian Fish Resources Agency) Finland: Pirkko Söderkultalahti (Finnish Game and Fisheries Research Institute) Estonia: Ministry of Agriculture Denmark: Troels Pade (The Danish Directorate of Fisheries, Ministry for Food, Agriculture and Fisheries) Russia: no contact person, data from ICES reports Poland: Malgorzata Marciniewicz-Mykieta (Departament Monitoringu i Informacji o Srodowisku, Glówny Inspektorat Ochrony Srodowiska).
Data was requested from HELCOM contracting parties through HELCOM HOLAS project. Data from Finland, Sweden, Denmark, Germany, Poland, Lithuania, Latvia and Estonia is based on national data, while Russian data is based on the ICES report "Report of the Baltic Fisheries Assessment Working Group (WGBFAS)" (2008). The fishery data was reported as both catches and landings by the countries. The catches/landings were mainly reported per ICES rectangle but Lithuanian coastal data and the whole Russian data was obtained per ICES subdivisions. The data was therefore divided equally between the smaller ICES rectangles in each subdivision. In this dataset the catches/landings from all countries have been summed per ICES rectangle to get a total value per rectangle. Furthermore, the total catches/landings are summed per fishing gear type. The gear categories include the following gears as reported by the countries: 0 = Unspecified 1= Surface and mid-water gears (mid-water otter and pair trawls, Danish seine, pelagic trawls, drift nets, trolling lines, drifting longlines, unspecified longlines) 2= Bottom trawling gears (Scottish seines, demersal seines, boat dredges, bottom otter trawls, beam trawls, otter twin trawls and unspecified bottom trawls) 3=Coastal and stationary gears (traps, barriers, fences, weirs, pound nets and pot gears) The ICES rectangle shape file has been created by the Danish Institute for Fisheries Research (DIFRES) for non-commercial purposes. The rectangle layer has been cut to match the Baltic Sea area. Each rectangle has an ICES id.
Fishing effort mobile bottom-contacting gear 2013
This dataset describes fishing effort (hours/c-square) for mobile bottom-contacting gear in 2013 based on VMS/Log book data processed by ICES Working Group on Spatial Fisheries Data (WGSFD). HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Use constraints: The data products derived from the advice are downloadable from HELCOM Map and Data serviceand can be used freely given that the source is cited. The correct data product citation is following: ICES. 2015. Fishing abrasion pressure maps for mobile bottom-contacting gears in HELCOM area. http://ices.dk/sites/pub/Publication%20Reports/Data%20outputs/HELCOM_mapping_fishing_intensity_and_effort_data_outputs_2015.zipWhen using the data for analysis/assessments the following caveats need to be taken into consideration:The methods for identifying fishing activity from the VMS data varied between countries; therefore there may be some country-specific biases that ICES cannot evaluate. Additionally, activities other than active towing of gear may have been incorrectly identified as fishing activity. This would have the effect of overestimating the apparent fishing intensity in ports and in areas used for passage.The data for 2012 and 2013 is not directly comparable to the data of previous years in the data call (2009–2011) due to the gradual increase in VMS-enabled vessels in the range of 12–15 m. This is likely to be most relevant when examining trends in effort for inshore areas.Many countries have substantial fleets of smaller vessels that are not equipped with VMS (The fishing abrasion pressure methodology is based on very broad assumptions in terms of the area affected by abrasion. A single speed and gear width was applied across each gear category in most cases, which can lead to both underestimates and overestimates in actual surface and subsurface abrasion.
HELCOM requires spatially explicit information on fishing activity affecting the Baltic Sea marine ecosystem for policy purposes. In order to obtain this information a joint ICES/HELCOM/OSPAR data call was issued to relevant authorities of contracting parties to deliver information on fishing activity based on VMS/Log book data. The raw data was submitted to ICES and processed to advice data products by ICES Working Group for Spatial Fisheries (WGSFD) as requested by HELCOM. Processing of the raw data requires specific resources, knowledge and guarantee of anonymity for specific vessels, thus the process was done by ICES WGSFD following Conditions for VMS data use. In 2015 ICES collated Vessel Monitoring System (VMS) and logbook data received; data from Russia were not received. ICES provided to HELCOM advice as fishing abrasion pressure maps as well as fishing effort maps. HELCOM secretariat did the following processing to the data: - Conversion to ETRS89LAEA coordinate system - Added feature and attribute "Reported" to display unreported areas. Dataset attribute information: c-square: Unique reference of the c-square polygon mid_lat: latitude coordinate of the centroid of c-square inWGS84 decimal degrees mid_lon: longitude coordinate of the centroid of c-square inWGS84 decimal degrees Year: Year of fishing activity quarter: Quarter of the year, if applicable geargroup: Fishing gear group (Effort maps) SubsurfSAR: Subsurface swept area ratio (Intensity maps) SurfSAR: Surface swept area ratio (Intensity maps) Fishing_ho: Total fishing effort in hours within c-square (Effort maps) Reported: Yes=Reported data. No= No reported data (area that does not contain effort/intensity value due to lack of reported data.
Perfluorooctane sulphonate PFOS in water results HOLAS 3
This core indicator evaluates the status of the marine environment based on concentrations of perfluorooctane sulphonate (PFOS) in water. Quantitative thresholds are used to evaluate if core indicators status is "Achieve", "Fail" or "Not assessed". Good status is achieved when the concentrations of PFOS are below the threshold value. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute specifications and units: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "country": country in which the HELCOM assessment unit is located or a mention to an open sea area "level_2" = Name of the HELCOM assessment unit in scale 2 "Name" = Name of the HELCOM assessment unit in scale 4 "Open_sea" = Name of the HELCOM assessment unit in the open sea "F2_Name" = Name of the HELCOM assessment unit "determinan" = Determinat "est" = The estimated mean loge concentration in the assessment unit "se" = The standard error on the estimated mean log concentration in the assessment unit "fit" = The estimated mean concentration in the assessment unit "upper_cl" = Upper one-sided 95% confidence limit on the mean concentration: exp(est + qnorm(0.95) * see) "Status" = Overall Status of the indicator according to one-out-all-out
Metals - Lead in sediment results HOLAS 3
This core indicator evaluates the status of the marine environment based on concentrations of heavy metal Lead (Pb) in sediment. Quantitative thresholds are used to classify core indicators status in “Achieve”, “Fail” or “Not assessed”. Threshold values are based on Environmental quality standards (EQS), defined at EU level for substances included in the priority list under the Water Framework Directive. This dataset displays the result of the indicator in HELCOM Assessment Scale 4 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and off-shore areas and division of the coastal areas by WFD water types or water bodies). Attribute specifications and units: "HELCOM_ID" = Code of the HELCOM scale 4 assessment unit "country": country in which the HELCOM assessment unit is located or a mention to an open sea area "level_2" = Name of the HELCOM assessment unit in scale 2 "Name" = Name of the HELCOM assessment unit in scale 4 "Open_sea" = Name of the HELCOM assessment unit in the open sea "F2_Name" = Name of the HELCOM assessment unit "determinan" = Determinat "est" = The estimated mean loge concentration in the assessment unit "se" = The standard error on the estimated mean log concentration in the assessment unit "fit" = The estimated mean concentration in the assessment unit "upper_cl" = Upper one-sided 95% confidence limit on the mean concentration: exp(est + qnorm(0.95) * see) "Status" = Overall Status of the indicator according to one-out-all-out
The indicator is based on data held in the HELCOM COMBINE database, hosted at the International Council for the Exploration of the Seas (ICES). All available data on lead in water, fish liver and bottom sediments up to 2021 were used. Evaluation is carried out using an agreed R-script that runs a statistical analysis. The overall confidence of the indicator evaluation is high. Additional information: http://www.helcom.fi/baltic-sea-trends/indicators/metals/
Download Perfluorooctane sulphonate PFOS in biota results HOLAS 3
View Perfluorooctane sulphonate PFOS in biota results HOLAS 3
Download Perfluorooctane sulphonate PFOS in water results HOLAS 3
View Perfluorooctane sulphonate PFOS in water results HOLAS 3
Download Metals - Lead in sediment results HOLAS 3
View Metals - Lead in sediment results HOLAS 3