- Title
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii
- Abstract
Maps of potential biomass catches (tons/year) per surface unit (0.25 degrees latitude x 0.25 degrees longitude) based on 3-D probability of occurrence for the main commercial fish species of the Atlantic. To map potential catches, first, mean catches (tons/year) were calculated according to Watson (2020) Global fisheries landings (V4) database for period 2010-2015 and then the total mean catch value for each species was redistributed according to the occurrence probability value that was modelled in 3-D using Shape-Constrained Generalized Additive Models (SC-GAMs). Potential catch value of each cell integrates the catches along the water column (from surface until 1000 m depth). See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632), for more details.
- License
- Attribution 4.0 International (CC BY 4.0)
-
+ This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
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+ Notices:
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+ For more info see https://creativecommons.org/licenses/by/4.0/. - Publication Date
- Feb. 15, 2024, 10:47 a.m.
- Type
- Raster Data
- Keywords
- Category
- Biota
- Flora and/or fauna in natural environment. Examples: wildlife, vegetation, biological sciences, ecology, wilderness, sealife, wetlands, habitat.
- Regions
- Global
- Approved
- Yes
- Published
- Yes
- Featured
- No
- DOI
- None
- Attribution
- None
- Name
- Mireia Valle Tobar (MireiaValle)
- mvalle@azti.es
- Position
- Researcher
- Organization
- AZTI
- Location
- 48395 Sukarrieta Bizkaia ESP
- Voice
- None
- Fax
- None
- Keywords
- climate change species distribution 3D modelling SC-GAMs
- Identification Image
-
- Spatial Extent
- ---
- Projection System
- EPSG:4326
- Extension x0
- -98.0
- Extension x1
- 68.5
- Extension y0
- -83.0
- Extension y1
- 90.0
- Restrictions
-
Attribution (CC BY)
- Language
- English
- Temporal Extent
- Jan. 1, 2010, midnight - Jan. 1, 2015, midnight
- Data Quality
To map potential catches, first the mean catches (tons/year) were calculated according to Watson (2020) Global fisheries landings (V4) database for period 2010-2015 and then the total mean catch value for each species was redistributed according to the occurrence probability value that was modelled in 3-D using Shape-Constrained Generalized Additive Models (SC-GAMs). Potential catch value of each cell integrates the catches along the water column (from surface until 1000 m depth).
- Supplemental Information
- Name
- Mireia Valle Tobar (MireiaValle)
- mvalle@azti.es
- Position
- Researcher
- Organization
- AZTI
- Location
- 48395 Sukarrieta Bizkaia ESP
- Voice
- None
- Fax
- None
- Link Online
- /layers/catches_sum_SP30_Trisopterus_esmarkii:geonode:catches_sum_SP30_Trisopterus_esmarkii
- Metadata Page
- /layers/catches_sum_SP30_Trisopterus_esmarkii:geonode:catches_sum_SP30_Trisopterus_esmarkii/metadata_detail
- Thumbnail
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.png
- Original Layer
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.zip
- JPEG
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.jpg
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.pdf
- PNG
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.png
- GeoTIFF
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.geotiff
- Legend
- Potential catch biomass summed up along the water column for the 30 main commercial fish species from the Atlantic Ocean - Trisopterus esmarkii.png
- OGC WMS: geonode Service
- Geoservice OGC:WMS
- OGC WCS: geonode Service
- Geoservice OGC:WCS
- Name
- Mireia Valle Tobar (MireiaValle)
- mvalle@azti.es
- Position
- Researcher
- Organization
- AZTI
- Location
- 48395 Sukarrieta Bizkaia ESP
- Voice
- None
- Fax
- None
- Keywords
- climate change species distribution 3D modelling SC-GAMs