Biotopes of the Barents Sea

Biotopes are unique combinations of species and their environment. This dataset shows a predicted distribution of marine biotopes in the Barents Sea, based on modeling of species composition, seabed sediments, and oceanographic data.

Date ( Creation ): 2025-02-21

Date ( Publication ): 2015-09-20

Date ( Revision ): 2025-02-24

Purpose: The Barents Sea hosts a wide variety of marine life, including unique species and ecosystems. The Barents Sea is a key area for scientific research due to its unique Arctic conditions. The dataset was developed to show what are the characteristic biotopes of the Barents Sea and to delineate the geographical distribution of these distinct biotopes.

Status: Completed

Publisher

Geological Survey of Norway - Aave Lepland

Owner

Geological Survey of Norway - Margaret Dolan

Maintenance and update frequency: Not planned

Nasjonal inndeling i geografiske initiativ og SDI-er

Mareano

Keywords ( Place )

Barents Sea

Keywords ( Theme )

marine
biotope
prediction
modelled
seabed

Spatial scope

Regional

Specific usage: The species that live on the seabed are not evenly distributed, but occur in patches linked to different environments and bottom types. This distribution is important to undrestand in order to manage the seabed in the most sustainable way possible. The maps can be used when designing management plans, scientific research, conservation and for making recommendations related to the use of the marine areas.

The level of detail of the dataset indicates use within the map scale: 1:3 000 000 - 1:10 000 000.

Owner

Use limitation: Detaljnivået på datasettet tilsier bruk innenfor kartmålestokken: 1:3 000 000 - 1:10 000 000.

Access constraints: Other restrictions

Other constraints: Åpne data

Use constraints: Other restrictions

Other constraints: Norsk lisens for offentlige data (NLOD)

Spatial representation type: Grid

Distance: 4000 m

Metadata language: Norskno

Topic category

Geoscientific information

Begin date: 0001-01-01

Supplemental Information: The biotope map is a full coverage raster dataset at 4000m resolution.

Unique resource identifier: EPSG:25836

Distribution format

GeoTIFF ()

Distributor

Distributor
Norges geologiske undersøkelse

Units of distribution

Region, Fylke

OnLine resource

https://nedlasting.ngu.no/api/capabilities/ ( GEONORGE:DOWNLOAD )
PNG ()

Distributor

Distributor
Norges geologiske undersøkelse

Units of distribution

Region

OnLine resource

https://geo.ngu.no/mapserver/NOR_RUS_BarentsSeaWMS/?request=getcapabilities&service=wms&version=1.3.0 ( OGC:WMS )
GeoTIFF ()

Distributor

Distributor
Norges geologiske undersøkelse

OnLine resource

https://nedlasting.ngu.no/api/atom/efd21e7a-2aaa-4d43-87e5-41f84483aa86 ( W3C:AtomFeed )

Units of distribution: regional inndeling, fylkesvis

OnLine resource: https://nedlasting.ngu.no/api/capabilities/ ( GEONORGE:DOWNLOAD )

Hierarchy level: Dataset

Completeness omission

Name of measure: Prosentvis dekning i forhold til datasettets utstrekning

Measure description: Datasettets faktiske kartlagte areal i forhold til datasettets spesifiserte utstrekning

Quantitative result

Value: 100

Completeness omission

Name of measure: Prosentvis oppfyllelse av FAIR-prinsipper

Measure description: Angir fullstendighet i forhold til krav fra FAIR-prinsippene (The FAIR Guiding Principles for scientific data management and stewardship)

Quantitative result

Value: 82

Statement: Each biological sampling station across the Barents Sea study area was assigned to a biotope class based on species composition as identified from trawl samples from the joint Norwegian-Russian Ecosystem Survey made annually by the Institute of Marine Research (IMR, Norway) and the Institute of Marine Fisheries and Oceanography (PINRO, Murmansk, Russia). The relationship of these biotope classes to the physical environment was analysed and selected full coverage physical data were used to create a model and to predict the distribution of biotopes across the entire study area. Biotope classes, defined from species composition, have been published (Jørgensen et al., 2015), and a subset of these biotope classes was used for modelling and prediction of the biotope map by the Geological Survey of Norway, Trondheim. The oceanography data are from a 4 km resolution ROMS model (Lien et al., 2013). The grain-size data are from NGU-SEVMORGEO compilation (Lepland et al., 2014) and bathymetry data are from IBCAO v. 3 provided by the Norwegian Hydrographic Service. The datasettet was modelled at NGU by using ESRI ArcGIS tools.