Institute of Marine Research
The Barents Sea ecosystem changes 2005-2022
Recommended citation:
E. Eriksen, B. Husson, G. Skaret, R.B. Ingvaldsen, P. Dalpadado, E. Johannesen, L.L. Jørgensen, B. Bogstad, A.V. Dolgov, D.V. Prozorkevich, T.A. Prokhorova, A.A. Russkikh, N.A. Strelkova, A.G. Trofimov, I.P. Prokopchuk and A.A. Filin
(2025)
The Barents Sea ecosystem changes 2005-2022
https://doi.org/10.21335/NMDC-1482450832
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Abstract
Data on species biomasses and environmental conditions were collected annually from 2005 to 2022 during the joint Norwegian-Russian ecosystem survey in August-September. The survey employed on average 278 fixed stations across the Barents Sea each year, with approximately 35 nm between stations, except for the western and northern slopes of Svalbard/Spitsbergen where the distance between stations was shorter. At each station, the vessel sampled most compartments of the ecosystem using a pelagic trawl (Harstad trawl) for capturing macroplankton (krill, amphipods and jellyfish), 0-group and older fish, hauled over 3x20m at different depth, WP2 and Juday nets (180 µm mesh size) for sampling mesozooplankton covering entire water column, Conductivity-Temperature-Depth (CTD) profiles, and a bottom trawl (Campelen 1800, 22 mm mesh size at the cod-end, trawled at 3 knots for 15-30 min) for capturing megabenthos and demersal fish. Adult pelagic species abundances were estimated from acoustic registration all along the survey tracks using EK-type echosounders, and NASC was then averaged over each cell of a 35x35nm grid fitted to the survey’s stations. Number of days of ice were computed using daily sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave. Data were retrieved from NSIDC37. The total number of days of ice within each year were calculated by presence/absence of sea ice (presence defined by ice concentration >15 %). Remote sensing data with high spatial and temporal resolution were used to obtain open water area for each of the polygons on a yearly basis. Data treatment Environmental conditions were presented by 4 abiotic groups: mean temperature over 10 to 100 m, bottom temperature in °C, number of days with ice and open water area in km². The living ecosystem components were aggregated into 19 biotic groups: zooplankton (mesozooplankton biomass in g dry weight/m², and krill, amphipods and jellyfish biomass in g dry weight/m² estimating a water content of 90% for jellyfish, and 20% for krill and amphipods, megabenthos (commercial benthos, sponges, echinoderms), 0-group (boreal fish (capelin, herring, polar cod), adult pelagic (herring, capelin, polar cod, blue whiting), and demersal fish (commercial species, other large species small arctic species, and small boreal species). The Barents Sea was divided into 13 polygons based on topography and oceanography, and each station was then assigned to a polygon. To ensure equivalent representation of each polygon despite variable coverage in space and time, we bootstrapped 100 times 10 stations per year, polygon and ecosystem component, and calculated the mean value. Here we present 299 time series. These were used in the analyses presented in the paper.
Scientific keywords:
EARTH SCIENCE> BIOLOGICAL CLASSIFICATION> ANIMALS/VERTEBRATES> FISH
EARTH SCIENCE> BIOSPHERE> AQUATIC ECOSYSTEMS> PLANKTON
EARTH SCIENCE> BIOSPHERE> AQUATIC ECOSYSTEMS> PLANKTON> ZOOPLANKTON
EARTH SCIENCE> OCEANS> OCEAN TEMPERATURE> WATER TEMPERATURE
EARTH SCIENCE> OCEANS> SEA ICE
Key words:
Ecosystem components
Data downloads
| Type | Description | URL |
| GET DATA | https://ftp.nmdc.no/nmdc/IMR/BarentsSea/Bootstrap_data_per_variable.xlsx |