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Enregistrement W7133286893

Science response: evaluation of upper stock reference point options for Pacific herring

2023· other· en· W7133286893 sur OpenAlexaboutno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Notice bibliographique

RevueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2023
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHerringStock (firearms)Stock assessmentFellFish stockBiomass (ecology)West coast
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Pacific Herring (Clupea pallasii) in British Columbia (BC) are currently managed in five major and two minor stock assessment regions (SARs), and independent catch and survey information is collected for each area in order to provide annual science advice on this scale. The major SARs are Haida Gwaii (HG), Prince Rupert District (PRD), Central Coast (CC), Strait of Georgia (SoG), and West Coast of Vancouver Island (WCVI), and the minor SARs are Area 27 and Area 2 West. Pacific Herring have extensive annual time series of fishery-independent survey and biological sampling data extending back to 1950. With these data sources, Science, Pacific Region developed an annual stock assessment program and forecasting models, contributing to leading-edge research and development in fisheries science. Fixed harvest rates and simulation-tested harvest rules were adopted by DFO for the management of Pacific Herring in 1986, with rules prescribing an exploitation rate of 0% when predicted biomass fell below commercial cut-off levels (Hall et al. 1988). Since adopting the harvest strategy in 1986, two major herring stocks - SoG and PRD have remained above the cut-off level while major stocks in HG, CC, and WCVI experienced recent low biomass states that fell below cut-off levels. Observations such as declining biomass trends in the absence of commercial harvest, long-term declines in body size (weight-at-age), and an increasing trend in the estimated natural mortality rates spurred initiation of a management strategy evaluation (MSE) process in 2015 where the initial focus was on improving the understanding of the harvest control rule (HCR) performance against conservation objectives and identifying HCR choices that do not meet conservation objectives. Since 2015, Science, Pacific Region has established a MSE process (DFO 2015, DFO 2019a, DFO 2020), established limit reference points (Kronlund et al. 2018) and a core set of measurable objectives (DFO 2020a), and used feedback simulation-evaluation to provide advice on stock-specific harvest rates and HCRs (DFO 2019a, DFO 2020). Additionally, the MSE framework has been used to develop a rebuilding plan for HG herring1, demonstrating use of feedback simulation-evaluation as a foundation for developing rebuilding plans and meeting the Precautionary Approach (PA) Policy. DFO’s “A Fishery Decision-Making Framework Incorporating the Precautionary Approach” policy (DFO 2009), hereafter called the PA Policy, describes requirements for incorporating the precautionary approach for fish stocks in Canada. These requirements are summarized into four elements2: PA1. Establish limit and upper stock status reference points that delineate critical, cautious and healthy zones as well as a maximum fishing mortality rate; PA2. A harvest strategy and harvest control rules (HCRs, Kronlund et al. 2014a); PA3. Account for uncertainty and risk when developing reference points and when developing and implementing control rules (Kronlund et al. 2014a, b); and PA4. Evaluate the performance of the management system against the objectives specified by the harvest strategy (Kronlund et al. 2014b). To ensure consistency with the Sustainable Fisheries Framework and implementation of the PA Policy to Pacific Herring, Fisheries and Oceans Canada (DFO) implemented a spawning biomass-based limit reference point (LRP) of 0.3SB0 (unfished spawning biomass) for all five major stocks beginning in 2018 (Kronlund et al. 2018, DFO 2019b). The current management framework for Pacific Herring already has many of the required elements of the PA Policy, including LRPs (PA1), management procedures (MPs) designed to avoid the LRP with high probability (PA2, PA3), and evaluation of performance via simulation-evaluation (PA4, Cleary et al. 2019). Although candidate upper stock reference (USR) points were considered by Cleary et al. (2019), implementing a USR for each major stock is required to fully align Pacific Herring with the PA Policy. Options for establishing an USR for each SAR are described here with elements PA2, PA3 and PA4 already reflected in the management strategy evaluation (MSE) process first initiated in 2015 (DFO 2015). The new Fish Stock provisions of the revised Fisheries Act (R.S.C., 1985, c. F-14) passed into legislation in 2019. It introduced requirements to maintain major fish stocks at sustainable levels and to develop and implement rebuilding plans for stocks that have declined below the LRP. This legislation is relevant to the Haida Gwaii major stock area which was among the first ‘batch’ of stocks prescribed in regulation in 2022. The HG stock has persisted in a low biomass, low productivity state (Kronlund et al. 2018) from approximately 2000 to 2018, and has fluctuated at or below the LRP in most years since 2000 (DFO 2021b). As such, a draft rebuilding plan1 for Haida Gwaii Herring has been developed through a technical working group which includes representatives from the Council of the Haida Nation, DFO, and Parks Canada. Consultations on this rebuilding plan will commence in fall 2022. The purpose of this work is to describe the role of the USR for Pacific Herring, document and evaluate USR options, and describe criteria for selecting USRs for major SARs. Evaluation of the consequences of USR choice must be considered in the context of the entire management system. Thus, our analyses includes simulation-evaluation to examine the probability of meeting USR options under different management procedures. The simulations incorporate updates to operating model conditioning data and updated MPs for four of the major Pacific Herring SARs (PRD, CC, SoG, and WCVI). Simulation updates are not included for the Haida Gwaii major stock area because these analyses and updates are included in the rebuilding plan2. This Science Response Report results from the regional peer review of August 30, 2022 on the Management Strategy Evaluation Update and Evaluation of Upper Stock Reference Point Options for Pacific Herring (Clupea pallasii) in British Columbia, Canada.

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)0,012
score de la tête « metaresearch » (Gemma)0,043
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,971
Score d'incertitude au seuil0,065

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,043
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0140,001

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 Opus0,033
Tête enseignante GPT0,300
Écart entre enseignants0,267 · 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'étudeSimulation ou modélisation
Domainenon disponible
GenreMéthodes

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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