Two-year projections for Bay of Fundy and SFA 29W scallop
Notice bibliographique
Résumé
The Bay of Fundy (BoF) Scallop Production Areas (SPAs) 1A, 1B, 3, 4, and 6, and Scallop Fishing Area 29 West (SFA 29W) are managed using total allowable catches (TAC). The annual assessments use modified versions of a state-space delay-difference population model fit to survey and commercial catch data. In 2020, the DFO Science Inshore Scallop surveys for the BoF and SFA 29W were cancelled. In the absence of survey data, two-year model projections are needed to inform the scallop fisheries in these areas for the 2020/21 season. The scallop stocks in the BoF and SFA 29W demonstrate substantial interannual variability in their productivity. There is limited temporal autocorrelation in model parameters and in surplus production beyond a 1-year lag for most areas. If used over the long-term as a basis for management decisions, harvest advice based on two-year projections could result in substantial risk of either loss in potential catch or overharvesting. Although the usefulness of 2-year projections is limited for long-term advice, for the BoF stocks (SPAs 1A, 1B, 3, 4, 6), they provide context for decision making in 2021 in the absence of 2020 survey data. For SFA 29W, two-year projections are not sufficiently reliable given challenges associated with projecting low biomasses and not recommended to inform the 2021 harvest levels for SFA 29W. For SPA 1A, for the two-year projection scenarios evaluated, the probability that the 2021 commercial biomass would be above the upper stock reference (USR) and in the healthy zone after removing 270 mt (the 2021 interim TAC) was between 0.78 and 0.87, the probability that the 2021 biomass would be above the LRP was between 0.97 and 0.98, and the expected exploitation ranged between 12% and 14%. For SPA 1B, for the two-year projection scenarios evaluated, the probability that the 2021 commercial biomass would be above the USR and in the healthy zone after removing 400 mt (the 2021 interim TAC) was between 0.67 to 0.80, the probability that the 2021 biomass would be above the LRP was between 0.96 to 0.98, and the expected exploitation ranged between 12% and 15%. For SPA 3, for the two-year projection scenarios evaluated, the probability that the 2021 commercial biomass would be above the USR and in the healthy zone after removing 200 mt (the 2021 interim TAC) was between 0.77 to 0.86, the probability that the 2021 biomass would be above the LRP was between 0.94 to 0.97, and the expected exploitation ranged between 9% and 11%. For SPA 4, for the two-year projection scenarios evaluated, the probability that the 2021 commercial biomass would be above the USR and in the healthy zone after removing 175 mt (the 2021 interim TAC) was between 0.61 to 0.70, the probability that the 2021 biomass would be above the LRP was between 0.78 to 0.84, and the expected exploitation ranged between 14% and 16%. For SPA 6, reference points are set in terms of the commercial catch rate and not the modelled biomass; therefore, an evaluation of stock status relative to the population model is not possible. For the two-year projection scenarios evaluated for 2021, assuming the total allowable catch of 210 mt is caught from the modeled area, the exploitation range is expected to be between 20% and 24%, which corresponds to an expected range of biomass change between −28% and −11%.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».