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Analysis of the Flemish Cap cod fishery: monitoring of the consequences of the management decisions

2023· other· en· W7064301252 sur OpenAlexaboutno aff

Notice bibliographique

RevueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2023
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueAstrophysical Phenomena and Observations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFlemishFishingStock (firearms)Cod fisheriesBycatchQuarter (Canadian coin)Fisheries management
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The objective of this document is to present the necessary information to the SC to monitor the consequences of
\nthe implementation in January 1st 2021 by the Commission of the technical measures in fisheries targeting cod in
\nDiv. 3M. The technical measures implemented were the closure of the cod directed fishery in Div. 3M in the first
\nquarter of the year and the use of sorting grids in the cod directed trawl fishery. Data from the haul by haul
\ndatabase in the period 2016-2022 provided by the NAFO Secretariat have been used to study the situation before
\n(2016-2020) and after (2021-2022) the measures were in place in the cod directed fisheries and in the fisheries
\nwith bycatch of cod. Also, the length and age distributions used in the assessment of this stock have been analysed.
\nIt should be noted that, apart from the technical measures implemented since 2021, in the 2021-2022 period the
\nTAC of 3M cod suffered a large reduction due to the stock situation. This large reduction in the TAC may make it
\ndifficult to interpret the changes observed in the fisheries after 2021, interfering in the interpretation of this
\nanalysis. In order to have a clear idea and describe appropriately the consequences of the implementation of
\ntechnical measures, a longer series of data after implementation needs to be analysed.
\nPrior to 2021, most of the cod catches from the directed fisheries were taken in the first quarter and in the east
\nand southwest of the bank for the longliners and in the southwest for the trawlers. Since 2021 catches are mainly
\ntaken in the second quarter and they are concentrated in the central part of Flemish Cap bank for the longliners
\nand in the southwest of Flemish Cap for the trawlers. Almost 100% of the cod catches made with longline gear
\nhave been made in hauls targeting cod both before and after the technical measures were implemented. In the
\ncase of cod catches made in trawl hauls targeting cod that percentage dropped from over 96% in the 2016-2020
\nperiod to 85-88% in the 2021-2022 period. No significant change has been observed after the implementation of
\nthe technical measures in the catch composition and bycatch levels of the hauls directed to cod neither by longline
\nnor trawl gears. In both directed fisheries, longliners and trawlers, the percentage of catches and effort inside the
\nVME polygons in 2021-2022 is much lower than in 2016-2020.
\nThe bycatch of cod in the longline hauls targeting other species is negligible in the whole period 2016-2022. Cod
\nbycatch in trawl hauls targeting other species increased significantly after the technical measures were
\nimplemented, mainly in 2022. No major change has been observed in the spatial-temporal pattern of sets catching
\ncod as bycatch before and after the implementation of the technical measures. The impact on vulnerable marine
\necosystems of longline sets catching cod as bycatch is minimal in both periods. Regarding the trawl hauls catching cod as bycatch, it should be noted the increase in effort carried out within the VME polygons of sponges and large
\ngorgonians in the southwestern part of the Flemish Cap in 2022.
\nFrom the analysis of the total length and age distribution of the cod catches, it can be concluded that, after the
\nimplementation of the technical measures, in the longline the proportion of intermediate lengths (42-54 cm) and
\nages (4-5 years) has increased in the period of implementation of the technical measures, while the proportion
\nof larger individuals (>99 cm) decreased. In trawling fishery, the proportions of smaller lengths (<45 cm) and the
\nyounger ages (1-3) have decreased after the implementation of the technical measures.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,848
Score d'incertitude au seuil0,644

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,004
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,129
Tête enseignante GPT0,332
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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