Canary rockfish stock assessment 2022
Notice bibliographique
Résumé
The Canary Rockfish (CAR) stock assessment evaluates a British Columbia (BC) coastwide population harvested by two fisheries, one using combined bottom and midwater trawl gear and the other using non-trawl gear. Bottom trawl catches are predominant (83% by weight over the period 1996 to 2021), followed by midwater trawl (13%) and hook and line (4%). Analyses of biology and distribution did not support separate regional stocks for CAR. The CAR stock was assessed using an annual two-sex catch-at-age model, implemented in a Bayesian framework to quantify uncertainty of estimated and derived parameters. The analysis platform adopted was the National Oceanic and Atmospheric Administration’s (NOAA) Stock Synthesis 3. A base run that estimated natural mortality (M) and steepness (h) fit the available data credibly and was considered sufficient to model the population. This stock assessment was primarily informed by six CAR abundance series from fishery independent surveys, and a catch per unit effort (CPUE) abundance series. While the CAR survey abundance series had large relative errors, they did not contradict the commercial CPUE index series. Additionally, age frequency data from the commercial trawl fishery (36 years) and three survey series (23 years) were used. The median (with 5th and 95th percentiles) female spawning biomass at the beginning of 2023 (B2023) was estimated to be 0.78 (0.57, 1.05) of the equilibrium unfished female spawning biomass (B0). Also, B2023 was estimated to be 3.04 (1.92, 4.89) times the equilibrium female spawning biomass at maximum sustainable yield, BMSY. There was an estimated probability of 1 that B2023 > 0.4BMSY and a probability of 1 that B2023 > 0.8BMSY (i.e., of being in the Healthy zone). The probability that the exploitation rate in 2022 was below that associated with MSY was 1 for the combined commercial fisheries. Advice to managers was presented in the form of decision tables using the suggested reference points from Fisheries and Oceans Canada’s (DFO) Decision Making Framework Incorporating the Precautionary Approach (PA) (DFO 2009a). The decision tables provided ten-year projections across a range of constant catches up to 2000 tonnes/year. The recent five year (2017–2021) average catch was 789 t. The CAR stock was projected to remain above the limit reference point (LRP, 0.4BMSY) and upper stock reference (USR, 0.8BMSY) with a probability of >0.99 over the next 10 years at catch levels ≤1500 t/y. Catches ≤1250 t/y were predicted to keep the harvest rate below the harvest rate limit (uMSY) in 10 years with probability >95%. Reference points for long-lived, low productivity species are uncertain. Advice relative to MSY reference points was deemed appropriate for CAR; however, other B0 benchmark metrics were presented in the assessment document. It is recommended that a full re-assessment occurs in no more than 10 years, subject to the availability of new information. During intervening years, the trend in abundance can be tracked by commercial fishery CPUE and, less reliably (because of the high relative error), by the fishery independent surveys used in this stock assessment.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,005 | 0,003 |
| 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 | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,003 |
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 ».