Assessment of the Estuary and Northern Gulf of St. Lawrence Snow Crabe Stocks in 2024
Notice bibliographique
Résumé
Status In 2024, the combined index was below the historical average for areas 14, 16, 17 and 16A, similar to that for Area 12C, and above the historical average for areas 15 and 13. The lack of reference points for stocks in areas 13–17, 12C and 16A prevents assessment of their status under the Fishery Decision-making Framework Incorporating the Precautionary Approach. In Area 12A, biomass indicators placed the stock at the lower boundary of the cautious zone in 2024 according to the precautionary approach, following an extended period in the critical zone since 2014. Trends Between 2023 and 2024, the combined index declined in areas 17 (-32%), 16 (-8%), 16A (- 38%) and 14 (-31%), remained stable in Area 12C (+2%), and increased in areas 13 (+11%) and 15 (+13%). In Area 12A, commercial biomass indicators under the precautionary approach increased significantly between 2023 and 2024, after remaining at consistently low values since 2014. Ecosystem and Climate Change Considerations Over the past 15 years, warming waters have mainly led to a reduction in suitable thermal habitats for adults and juveniles in the westernmost areas, while habitat gains have been observed in the easternmost areas. Rising water temperatures could influence the distribution, productivity, growth and size-at-terminal moult of snow crab in Quebec’s coastal waters. The impacts could vary significantly across fishing areas. Stock Advice Snow crab abundance, which is cyclical in nature, appears to still be on the upswing in areas 12C, 13 and 15, with high recruit abundance observed in post-season surveys in 2024. In Area 13, residual abundance was high, especially in the portion along the north shore. These observations suggest that a proportional increase in removals in 2025, relative to the combined index, should not pose a risk to the resource in these areas in the short term. Following a decade in the critical zone, the stock in Area 12A reached the lower boundary of the cautious zone for the first time in 2024. Therefore, a conservative harvesting approach should be maintained in 2025. In Area 16, recruit abundance decreased in 2024, while residual abundance increased. The substantial rise in pre-recruits suggests that recruitment to the fishery could potentially increase over the medium term (≥ 2 years). However, the average size of commercial crabs declined to below the historical average. Until a stronger upturn in recruitment occurs, a conservative harvesting approach is recommended, based on the direction and strength of the combined index for 2025. The sharp decline in the combined index in areas 14, 17 and 16A suggests a substantial reduction in residual abundance and/or the abundance of recruits in the upcoming fishing season. These declines in commercial abundance, along with smaller average sizes of commercial crabs, indicate that removals should be significantly reduced in 2025 to alleviate fishing pressure.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».