Identification

Title
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus
Abstract

3-D habitat suitability maps (HSM) or probability of occurrence maps, built using Shape-Constrained Generalized Additive Models (SC-GAMs) for the 30 main commercial species of the Atlantic region.Predictor variables for each species were selected from: sea water temperature, salinity, nitrate, net primary productivity, distance to seafloor, distance to coast, and relative position to mixed layer depth. Each species HSM contains 47 maps, one per depth level from 0 to 1000 m. Probability values of each map range from 0 (unsuitable habitat) to 1 (optimal habitat). For depth levels below the 0.99 quantile of the depth values found on the species occurrence data, NA values were assigned. Maps have been masked to species native range regions. 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
March 4, 2024, 11:37 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
Data Quality

The 3D habitat suitability maps have been generated using data from the following sources: OBIS and GBIF for commercial fish species occurrences data; the World Ocean Atlas 2018 for the temperature, salinity and nitrate, as well as the mixed layer depth data; Copernicus GLOBAL_MULTIYEAR_BGC_001_029 product for net primary productivity, NOAA ETOPO1 Global Relief Model for the seabed bathymetry and NASA Ocean Color for the distance to the coast.

Supplemental Information

https://vliz.be/en/imis?module=dataset&dasid=8057

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/3Dmap_SP9_Sprattus_sprattus:geonode:occurrence_probability_Sprattus_sprattus
Metadata Page
/layers/3Dmap_SP9_Sprattus_sprattus:geonode:occurrence_probability_Sprattus_sprattus/metadata_detail

Thumbnail
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.png
PNG
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.png
GeoTIFF
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.geotiff
Legend
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.png
JPEG
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.jpg
PDF
3D habitat suitability maps of the 30 main commercial fish species from the Atlantic Ocean - Sprattus sprattus.pdf

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