Clupeids and stickleback biomass, fishery landings, and hydrographic variables from the Baltic Sea
Data files
Data files
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Olavi Kaljuste - Swedish University of Agricultural Sciences
- Ronny Fredriksson - Swedish University of Agricultural Sciences
- Mårten Erlandsson - Swedish University of Agricultural Sciences
- Michele Casini - Swedish University of Agricultural Sciences
- Agnes Olin - Swedish University of Agricultural Sciences - Department of Aquatic Resources (SLU Aqua)
- Johan Eklöf - Stockholm University
- Jonas Nilsson - Linnaeus University
- Ulf Bergström - Swedish University of Agricultural Sciences - Department of Aquatic Resources (SLU Aqua)
Research principal:
Principal's reference number:
- SLU.aqua.2024.5.4-181
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Time period(s) investigated:
Data collection - Compilation/Synthesis
Data collection - Compilation/Synthesis
Mode of collection:
Compilation/Synthesis
Description of the mode of collection:
The data on fish biomasses were collected via hydroacustic surveys, coupled with information on species and size distributions from trawl hauls. Commercial landings of herring and sprat expressed as tons per ICES rectangle were provided by the Scientific, Technical and Economic Committee for Fisheries (STECF, https://stecf.jrc.ec.europa.eu/dd/effort/graphs-quarter) for the years 2003–2015, and by the Joint Research Centre (JRC, https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/FAD/fdi2020/) for the years 2016–2019. Data on water temperature, salinity and nutrient concentrations for the period 2001–2019 for each ICES rectangle were extracted from Copernicus Marine Service Information. The nutrient concentration data were produced using the biogeochemical model ERGOM one-way online-coupled with the ice-ocean model system NEMO (doi.org/10.48670/moi-00012). The salinity and temperature data were produced by DMI (Danmarks Meteorologiske Institut) using NEMO (doi.org/10.48670/moi-00013). All analyses were conducted in R Statistical Software version 4.2.0 (R Development Core Team 2020). We used the mgcv package (version 1.8-40) for specifying, fitting, and visualising the GAMs (Wood 2011), and the nlme package (version 3.1-162) for fitting generalized least square models (Pinhero et al. 2016).
Time period(s) for data collection:
2001 - 2019
Data collector:
- Swedish University of Agricultural Sciences
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Source of the data:
- Registers/Records/Accounts
Temporal resolution:
1 year
Spatial resolution:
55 kilometres scale
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
ICES subdivisions (SD) 25 - 30 in the Baltic Sea. SD 30 corresponds to the Bothnian Sea and SD 25–29 to the Central Baltic Sea.
Administrative information
Administrative information
Responsible department/unit:
Department of Aquatic Resources
Contributor(s):
- Mårten Erlandsson - Swedish University of Agricultural Sciences - Department of Aquatic Resources
- Olavi Kaljuste - Swedish University of Agricultural Sciences - Department of Aquatic Resources
- Niklas Larson - Swedish University of Agricultural Sciences - Department of Aquatic Resources
- Ronny Fredriksson - Swedish University of Agricultural Sciences - Department of Aquatic Resources
- Jonas Nilsson - Linnaeus University
Funding
Funding
Funding agency:
- Swedish Research Council
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Award number:
2019-00310
Award title:
project Spiggvågen
Funding agency:
- Swedish Research Council
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Award number:
2023-00297
Award title:
project FORCE
Funding agency:
- Swedish Agency for Marine and Water Management
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Award number:
1049-20
