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Enregistrement W7133281797

Bocaccio (Sebastes paucispinis) stock assessment for British Columbia in 2019, including guidance for rebuilding plans

2022· other· en· W7133281797 sur OpenAlexaboutno aff
Paul J. Starr, Rowan Haigh

Notice bibliographique

RevueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStock (firearms)Stock assessmentPopulationEndangered speciesRockfishWildlife
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Bocaccio rockfish (Sebastes paucispinis, BOR) is ubiquitous along the British Columbia (BC) coast (at ~60-300 m depth), occurring in low densities along the west coast of Vancouver Island (WCVI), across Goose Island and Mitchell gullies in Queen Charlotte Sound and into the lower parts of Hecate Strait. In 2002, the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) assessed the status of the BC population of Bocaccio rockfish (BOR) as “Threatened”. In November 2013, BOR was reassessed by COSEWIC as “Endangered”. Under COSEWIC and SARA (the Species at Risk Act), an endangered species is defined as one that is facing imminent extirpation or extinction. BOR has been assessed twice by DFO Science (in 2009 and then in 2012) using a Bayesian surplus production model which evaluated this species to be in the DFO Critical Zone. This led to setting mortality caps at the minimum acceptable levels of harm while still allowing the multispecies trawl fishery, which takes BOR in conjunction with other trawl species, to continue operating while still rebuilding. Beginning in 2017, there has been mounting evidence of a strong BOR recruitment event in BC waters, leading to difficulty in 2018 and 2019 for commercial operators to stay within the existing low catch limits that were set to encourage rebuilding in the BC BOR population. The purpose of this stock assessment is to evaluate the current BOR stock status and to assess the potential impact of this new recruitment on the DFO Precautionary Approach (PA) status of BOR in the future. This stock assessment evaluates a single BC coastwide population harvested by multiple fisheries. Analyses of biology and distribution did not support separate regional stocks for BOR. A single coastwide stock was also assumed for the two previous BOR stock assessments. We use an annual catch-at-age model tuned to six fishery-independent trawl survey series, a truncated bottom trawl CPUE series, annual estimates of commercial catch since 1935, and age composition data from survey series (31 years of data from four surveys) and the commercial fishery (12 years of data). The model starts from an assumed equilibrium state in 1935, and the survey data cover the period 1967 to 2019 (although not all years are represented). Two fisheries are modelled: one a combined bottom and midwater trawl fishery and an ‘other’ fishery, which combines halibut longline, sablefish trap, salmon troll, rockfish hook and line, etc. The second fishery is a compromise that acknowledges other methods capturing this species while keeping the complexity to a minimum, given the lack of good information from these additional fisheries. Three base runs using a two-sex model were implemented in a Bayesian framework (using the Markov Chain Monte Carlo procedure) under a scenario that fixed natural mortality to three levels (0.07, 0.08, 0.09) while estimating steepness of the stock-recruit function, catchability for the surveys and CPUE, and selectivity for four of the six surveys and the commercial trawl fleet. These three runs were combined into a composite base case which explored the major axis of parameter uncertainty in this stock assessment. Nine sensitivity analyses were performed to test the effect of alternative model assumptions. The composite base case suggests that the BOR spawning population lies in the Critical Zone (with a probability >0.99), as do the three component runs. This is in spite of the stock being moderately productive and exploitation rates being uniformly low. For instance, the median exploitation by the trawl fishery, which accounts for 95% of the catch, in the final year is estimated to be 0.025 (0.012-0.044) even at the very low biomass levels. A strong cohort, estimated at 44 times the long term average recruitment (range: 30-58), was born in 2016 and is projected to bring this stock out of the Critical Zone by the beginning of 2023 and will have a better than 50% probability of being in the Healthy Zone in that same year. These predictions are entirely dependent on the assessed size of the 2016 year class, which is highly uncertain. However, there is evidence, beginning in 2017, that this cohort is large and dominates the available data. Three of the synoptic surveys, particularly the Queen Charlotte Sound survey in 2019, show strong quantitative increases in abundance and in distribution. This cohort dominates the age and length frequencies in the commercial trawl, beginning in 2018. Similar strong recruitment (in 2010 and 2013) in the US BOR population, located south of Monterey, has lifted that stock out of an ‘overfished’ designation and was assessed in 2017 to be approaching 0.5B0. We suggest that the demonstrable capacity of the four active synoptic surveys plus the high quality monitoring of the trawl fishery catches and discards will verify the progress of this strong cohort as it recruits to the fishery.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,019
Score d'incertitude au seuil0,090

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,277
Écart entre enseignants0,262 · 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 source (Gemma direct ou Codex distillé), 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
Publié2022
Routes d'admission1
Résumé présentoui

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