A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic

There is increasing demand for information on predator-prey interactions in the ocean as a result of legislative commitments aimed at achieving sustainable exploitation. However, comprehensive datasets are lacking for many fish species and this has hampered development of multispecies fisheries mode...

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Published in:Earth System Science Data
Main Authors: Pinnegar, J. K., Goni, N., Trenkel, Verena, Arrizabalaga, H., Melle, W., Keating, J., Oskarsson, G.
Other Authors: Écologie et Modèles pour l'Halieutique (EMH), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), European Project: 264933,EC:FP7:ENV,FP7-ENV-2010,EURO-BASIN(2010)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2015
Subjects:
Online Access:https://hal.science/hal-04199764
https://doi.org/10.5194/essd-7-19-2015
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spelling ftccsdartic:oai:HAL:hal-04199764v1 2023-12-17T10:26:24+01:00 A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic Pinnegar, J. K. Goni, N. Trenkel, Verena Arrizabalaga, H. Melle, W. Keating, J. Oskarsson, G. Écologie et Modèles pour l'Halieutique (EMH) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) European Project: 264933,EC:FP7:ENV,FP7-ENV-2010,EURO-BASIN(2010) 2015 https://hal.science/hal-04199764 https://doi.org/10.5194/essd-7-19-2015 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-7-19-2015 info:eu-repo/grantAgreement/EC/FP7/264933/EU/European Union Basin-scale Analysis, Synthesis and Integration (EURO-BASIN)/EURO-BASIN hal-04199764 https://hal.science/hal-04199764 doi:10.5194/essd-7-19-2015 ISSN: 1866-3508 Earth System Science Data https://hal.science/hal-04199764 Earth System Science Data, 2015, 7 (1), pp.19-28. ⟨10.5194/essd-7-19-2015⟩ [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2015 ftccsdartic https://doi.org/10.5194/essd-7-19-2015 2023-11-18T23:44:26Z There is increasing demand for information on predator-prey interactions in the ocean as a result of legislative commitments aimed at achieving sustainable exploitation. However, comprehensive datasets are lacking for many fish species and this has hampered development of multispecies fisheries models and the formulation of effective food-web indicators. This work describes a new compilation of stomach content data for five pelagic fish species (herring, blue whiting, mackerel, albacore and bluefin tuna) sampled across the northeast Atlantic and submitted to the PANGAEA open-access data portal (www.pangaea.de). We provide detailed descriptions of sample origin and of the corresponding database structures. We describe the main results in terms of diet composition and predator–prey relationships. The feeding preferences of small pelagic fish (herring, blue whiting, mackerel) were sampled over a very broad geographic area within the North Atlantic basin, from Greenland in the west, to the Lofoten Islands in the east and from the Bay of Biscay northwards to the Arctic. This analysis revealed significant differences in the prey items selected in different parts of the region at different times of year. Tunas (albacore and bluefin) were sampled in the Bay of Biscay and Celtic Sea. Dominant prey items for these species varied by location, year and season. This data compilation exercise represents one of the largest and most wide-ranging ever attempted for pelagic fish in the north Atlantic. The earliest data included in the database were collected in 1864, whereas the most recent were collected in 2012. Article in Journal/Newspaper Arctic Greenland Lofoten North Atlantic Northeast Atlantic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Greenland Lofoten Earth System Science Data 7 1 19 28
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic [SDV]Life Sciences [q-bio]
spellingShingle [SDV]Life Sciences [q-bio]
Pinnegar, J. K.
Goni, N.
Trenkel, Verena
Arrizabalaga, H.
Melle, W.
Keating, J.
Oskarsson, G.
A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
topic_facet [SDV]Life Sciences [q-bio]
description There is increasing demand for information on predator-prey interactions in the ocean as a result of legislative commitments aimed at achieving sustainable exploitation. However, comprehensive datasets are lacking for many fish species and this has hampered development of multispecies fisheries models and the formulation of effective food-web indicators. This work describes a new compilation of stomach content data for five pelagic fish species (herring, blue whiting, mackerel, albacore and bluefin tuna) sampled across the northeast Atlantic and submitted to the PANGAEA open-access data portal (www.pangaea.de). We provide detailed descriptions of sample origin and of the corresponding database structures. We describe the main results in terms of diet composition and predator–prey relationships. The feeding preferences of small pelagic fish (herring, blue whiting, mackerel) were sampled over a very broad geographic area within the North Atlantic basin, from Greenland in the west, to the Lofoten Islands in the east and from the Bay of Biscay northwards to the Arctic. This analysis revealed significant differences in the prey items selected in different parts of the region at different times of year. Tunas (albacore and bluefin) were sampled in the Bay of Biscay and Celtic Sea. Dominant prey items for these species varied by location, year and season. This data compilation exercise represents one of the largest and most wide-ranging ever attempted for pelagic fish in the north Atlantic. The earliest data included in the database were collected in 1864, whereas the most recent were collected in 2012.
author2 Écologie et Modèles pour l'Halieutique (EMH)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
European Project: 264933,EC:FP7:ENV,FP7-ENV-2010,EURO-BASIN(2010)
format Article in Journal/Newspaper
author Pinnegar, J. K.
Goni, N.
Trenkel, Verena
Arrizabalaga, H.
Melle, W.
Keating, J.
Oskarsson, G.
author_facet Pinnegar, J. K.
Goni, N.
Trenkel, Verena
Arrizabalaga, H.
Melle, W.
Keating, J.
Oskarsson, G.
author_sort Pinnegar, J. K.
title A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
title_short A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
title_full A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
title_fullStr A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
title_full_unstemmed A new compilation of stomach content data for commercially-important pelagic fish species in the Northeast Atlantic
title_sort new compilation of stomach content data for commercially-important pelagic fish species in the northeast atlantic
publisher HAL CCSD
publishDate 2015
url https://hal.science/hal-04199764
https://doi.org/10.5194/essd-7-19-2015
geographic Arctic
Greenland
Lofoten
geographic_facet Arctic
Greenland
Lofoten
genre Arctic
Greenland
Lofoten
North Atlantic
Northeast Atlantic
genre_facet Arctic
Greenland
Lofoten
North Atlantic
Northeast Atlantic
op_source ISSN: 1866-3508
Earth System Science Data
https://hal.science/hal-04199764
Earth System Science Data, 2015, 7 (1), pp.19-28. ⟨10.5194/essd-7-19-2015⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-7-19-2015
info:eu-repo/grantAgreement/EC/FP7/264933/EU/European Union Basin-scale Analysis, Synthesis and Integration (EURO-BASIN)/EURO-BASIN
hal-04199764
https://hal.science/hal-04199764
doi:10.5194/essd-7-19-2015
op_doi https://doi.org/10.5194/essd-7-19-2015
container_title Earth System Science Data
container_volume 7
container_issue 1
container_start_page 19
op_container_end_page 28
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