- Title
- Probability of presence of Leucoraja fullonica - Outputs of predictive distribution models of deep-sea elasmobranchs in the Azores EEZ (down to 2_000m depth) using Generalized Additive Models
- License
- Not Specified
-
+ The original author did not specify a license.
- 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').
- Publication Date
- Jan. 10, 2024, 5:51 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
- Responsible
- pafonso
- DOI
- https://doi.org/10.1594/PANGAEA.940808
- 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
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