Identification

Title
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models
Abstract

We developed predictive distribution models of deep-sea elasmobranchs for up to 2000 m depth in the Azores EEZ and neighboring seamounts, from approximately 33°N to 43°N and 20°W to 36°W. Georeferenced presence, absence, and abundance data were obtained from scientific surveys and commercial operations reporting at least one deep-sea elasmobranch capture. A 20-year 'survey dataset' (1996-2017) was compiled from annual scientific demersal surveys using two types of bottom longlines (types LLA and LLB), and an 'observer dataset' (2004-2018) from observer programs covering commercial fisheries operations using bottom longline (similar to type LLA) and vertical handline ('gorazeira').

License
Not Specified
+ The original author did not specify a license.

Publication Date
Jan. 10, 2024, 4:17 p.m.
Type
Raster Data
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
https://doi.org/10.1594/PANGAEA.940808
Attribution
None
Responsible

Name
pafonso
email
pafonsopim@gmail.com
Position
None
Organization
None
Location
Voice
None
Fax
None
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:32626
Extension x0
-342155.0
Extension x1
1154165.0
Extension y0
3651390.0
Extension y1
4911390.0
Features

Restrictions

Attribution (CC BY)

Language
English
Temporal Extent
Jan. 1, 1996, midnight - Jan. 1, 2018, midnight
Data Quality

Occurrence data: 38 fishery-independent surveys from R/V Arquipélago and on-board observer data surveys from PNRD collection, CoralFISH and Discardless/MERCES/SPONGES. Bathymetric Position Index derived from multibeam data for the Azores EEZ and bathymetry data extracted from EMODNET. To read the sources of nitrates, phosphates, silicates concentration, dissolved oxygen, % of oxygen saturation, temperature and current speed near the ocean bottom, see the Description.

Supplemental Information

https://vliz.be/en/imis?module=dataset&dasid=8236

Contact Points

Name
pafonso
email
pafonsopim@gmail.com
Position
None
Organization
None
Location
Voice
None
Fax
None

References

Link Online
/layers/ProbPresence_Dalatias_licha:geonode:ProbPresence_Dalatias_licha
Metadata Page
/layers/ProbPresence_Dalatias_licha:geonode:ProbPresence_Dalatias_licha/metadata_detail

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Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.jpg
PDF
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.pdf
PNG
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.png
GeoTIFF
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.geotiff
Legend
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.png
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Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.zip
Thumbnail
Probability of presence of Dalatias licha - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models.png

OGC WMS: geonode Service
Geoservice OGC:WMS
OGC WCS: geonode Service
Geoservice OGC:WCS
Metadata Author

Name
pafonso
email
pafonsopim@gmail.com
Position
None
Organization
None
Location
Voice
None
Fax
None