Habitat Suitability Models for deep and open-ocean commercial species

This ongoing study focuses on the distribution patterns and drivers of deep-sea demersal and open-ocean pelagic commercial species in the SW Atlantic. Habitat Suitability Models have been structured for the valuable deep sea shrimps Aristaeopsis edwardziana , Aristeus antillensis and Aristaeomorpha...

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Main Authors: Angel Perez, Rodrigo Sant'Ana, Lucas Gavazzoni
Format: Lecture
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.5571863
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spelling ftzenodo:oai:zenodo.org:5571863 2024-09-15T18:17:22+00:00 Habitat Suitability Models for deep and open-ocean commercial species Angel Perez Rodrigo Sant'Ana Lucas Gavazzoni 2021-09-20 https://doi.org/10.5281/zenodo.5571863 unknown Zenodo https://zenodo.org/communities/iatlantic-project-collection https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.5571862 https://doi.org/10.5281/zenodo.5571863 oai:zenodo.org:5571863 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/lecture 2021 ftzenodo https://doi.org/10.5281/zenodo.557186310.5281/zenodo.5571862 2024-07-25T17:17:27Z This ongoing study focuses on the distribution patterns and drivers of deep-sea demersal and open-ocean pelagic commercial species in the SW Atlantic. Habitat Suitability Models have been structured for the valuable deep sea shrimps Aristaeopsis edwardziana , Aristeus antillensis and Aristaeomorpha foliacea , the royal crab Chaceon ramosae, the monkfish Lophius gastrophysus , and the endangered wreckfish Polyprion americanus . Species that sustain important pelagic fisheries in the South Atlantic were also chosen, namely the yellow-fin tuna ( Thunnus albacares ), the albacore ( Thunnus alalunga ) and the blue shark ( Prionace glauca ), as well as the critically exploited blue-fin tuna ( Thunnus maccoyii ) and the porbeagle shark ( Lamna nasus ). Species data comprise georeferenced catch and fishing effort records available from the Brazilian deep-sea fisheries observers program (2000- 2008) with a point-to-point spatial resolution, and the national tuna fisheries and ICCAT databases available from 1960 (spatial resolutions 0.5, 1 and 5°). All catch data were transformed into catch-per-unit-of-effort, subsequently modelled by Generalized Linear Models to produce species’ abundance indices. Environmental descriptors have been extracted from public databases (GEBCO, ETOPO, Copernicus and Hermes) and provided by the INALT model. Using Benthic Terrain modelling tools, bathymetry was transformed into variables that express different seafloor features, and used to segment it into structural classes. The total geographic area considered includes Santos, Campos and Espírito Santos basins. A more comprehensive analysis, however, will be conducted in Campos and Espírito Santo basins where a detailed environmental database was made available by the Brazilian oil and gas company, Petrobras. Lecture Lamna nasus Porbeagle Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description This ongoing study focuses on the distribution patterns and drivers of deep-sea demersal and open-ocean pelagic commercial species in the SW Atlantic. Habitat Suitability Models have been structured for the valuable deep sea shrimps Aristaeopsis edwardziana , Aristeus antillensis and Aristaeomorpha foliacea , the royal crab Chaceon ramosae, the monkfish Lophius gastrophysus , and the endangered wreckfish Polyprion americanus . Species that sustain important pelagic fisheries in the South Atlantic were also chosen, namely the yellow-fin tuna ( Thunnus albacares ), the albacore ( Thunnus alalunga ) and the blue shark ( Prionace glauca ), as well as the critically exploited blue-fin tuna ( Thunnus maccoyii ) and the porbeagle shark ( Lamna nasus ). Species data comprise georeferenced catch and fishing effort records available from the Brazilian deep-sea fisheries observers program (2000- 2008) with a point-to-point spatial resolution, and the national tuna fisheries and ICCAT databases available from 1960 (spatial resolutions 0.5, 1 and 5°). All catch data were transformed into catch-per-unit-of-effort, subsequently modelled by Generalized Linear Models to produce species’ abundance indices. Environmental descriptors have been extracted from public databases (GEBCO, ETOPO, Copernicus and Hermes) and provided by the INALT model. Using Benthic Terrain modelling tools, bathymetry was transformed into variables that express different seafloor features, and used to segment it into structural classes. The total geographic area considered includes Santos, Campos and Espírito Santos basins. A more comprehensive analysis, however, will be conducted in Campos and Espírito Santo basins where a detailed environmental database was made available by the Brazilian oil and gas company, Petrobras.
format Lecture
author Angel Perez
Rodrigo Sant'Ana
Lucas Gavazzoni
spellingShingle Angel Perez
Rodrigo Sant'Ana
Lucas Gavazzoni
Habitat Suitability Models for deep and open-ocean commercial species
author_facet Angel Perez
Rodrigo Sant'Ana
Lucas Gavazzoni
author_sort Angel Perez
title Habitat Suitability Models for deep and open-ocean commercial species
title_short Habitat Suitability Models for deep and open-ocean commercial species
title_full Habitat Suitability Models for deep and open-ocean commercial species
title_fullStr Habitat Suitability Models for deep and open-ocean commercial species
title_full_unstemmed Habitat Suitability Models for deep and open-ocean commercial species
title_sort habitat suitability models for deep and open-ocean commercial species
publisher Zenodo
publishDate 2021
url https://doi.org/10.5281/zenodo.5571863
genre Lamna nasus
Porbeagle
genre_facet Lamna nasus
Porbeagle
op_relation https://zenodo.org/communities/iatlantic-project-collection
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.5571862
https://doi.org/10.5281/zenodo.5571863
oai:zenodo.org:5571863
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.557186310.5281/zenodo.5571862
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