- Title
- Merlangius merlangus - biomass scenario-2050 (North Sea)
- License
- Not Specified
-
+ The original author did not specify a license.
- Abstract
- This layer provides information on future biomass (given in tons) of Whiting adults (Merlangius merlangus) as average for the period 2040-2060 in response to Climate Change in the North Sea. Biomass was mapped according to habitat suitability as redistribution of three scenarios of total biomass, as provided by ICES Stock Assessment Database.
- Habitat suitability was estimated using a species distribution model (TIMoFiD) within the scope of the project CoastalFutures, founded by German Ministry of Education and Research (grant No: 03F0911F). The model used fish abundance and environmental data collected during the ICES-coordinated International Bottom Trawl Survey over 51 years. Temperature data used for model fitting were retrieved from AHOI, whereas those used for projections were retrieved from HANSOM (under the climate scenario RCP8.5).
- Publication Date
- March 7, 2024, 7:42 p.m.
- Type
- Vector Data
- Keywords
- Category
- Oceans
- Features and characteristics of salt water bodies (excluding inland waters). Examples: tides, tidal waves, coastal information, reefs.
- Regions
- Europe
- Responsible
- akimova
- Group
- Meeresatlas
- Attribution
- Dario Fiorentino, Ismael Núñez-Riboni, Daniel Oesterwind, Maria E. Pierce, Anna Akimova. 2023. FISH SPECIES DISTRIBUTION UNDER CLIMATE CHANGE. Thünen Institut of Sea Fisheries. Bremerhaven, Germany
- Maintenance Frequency
- data is updated in intervals that are uneven in duration
- Restrictions
-
Access for data download upon request to anna.akimova@thuenen.de. The request needs to contain a project or intended use description.
- Purpose
Research data shared for participating communities, researchers, policy and science
- Language
- English
- Temporal Extent
- Jan. 1, 2050, midnight - Dec. 31, 2050, midnight
- Supplemental Information
Location points are on a regular grid, whose resolution is 0.2 Decimal Degrees.
- Spatial Representation Type
- vector data is used to represent geographic data
