Identification

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)
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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
Responsible

Name
Mireia Valle Tobar (MireiaValle)
email
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
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:4326
Extension x0
-98.0
Extension x1
68.5
Extension y0
-83.0
Extension y1
90.0
Features

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

https://vliz.be/en/imis?module=dataset&dasid=8461

Contact Points

Name
Mireia Valle Tobar (MireiaValle)
email
mvalle@azti.es
Position
Researcher
Organization
AZTI
Location
48395 Sukarrieta Bizkaia ESP
Voice
None
Fax
None

References

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
PDF
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
Metadata Author

Name
Mireia Valle Tobar (MireiaValle)
email
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