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Record W7133283824

Science Response : WCVI Pacific Cod status update in 2023

2024· other· en· W7133283824 on OpenAlexaboutno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)Stock (firearms)Stock assessmentPacific oceanCoronavirus disease 2019 (COVID-19)Schedule
DOInot available

Abstract

fetched live from OpenAlex

The 2020 assessment for Pacific Cod (Gadus macrocephalus) in British Columbia (BC) found the Area 3CD stock (West Coast Vancouver Island: WCVI; Figure 1) to be in the Cautious Zone with 97–98% probability, with 2–10% probability of being in the Critical Zone, over all catch scenarios considered (DFO 2021). This followed a notable reduction in the 2018 WCVI synoptic bottom trawl survey index (approximately 26–27% of the 2014 and 2016 observations (Table 1; Figure 2)). Given the low index point in 2018, the 2020 Science Response recommended updating the assessment following the 2020 WCVI synoptic bottom trawl survey. However, due to the COVID-19 pandemic, the scheduled 2020 WCVI survey was postponed to 2021, returning to its regular biennial schedule in 2022. Both the 2021 and 2022 index points were lower than the 2018 observation (Table 1). Catches since 2018 have also been lower than in previous years (Table 2; Figure 3). The commercial catch-per-unit-effort (CPUE) index decreased substantially in 2018 but has since increased, following increases in commercial catch (Figure 4). A Request for Science Information and Advice (RSIA) for Pacific Cod was issued in 2022 for both the 3CD and 5ABCD (Hecate Strait and Queen Charlotte Sound) stocks. The stock assessment model (see Analysis and Response) is fitted to commercial and survey indices of abundance, commercial catch, and an index of mean weight, derived from commercial length samples (Forrest et al. 2020). However, due to the COVID-19 pandemic and a subsequent shift towards at-sea electronic monitoring, there has been no at-sea biological sampling on commercial trawl vessels since 2019. This change follows a trend of reduced biological length sampling of Pacific Cod on commercial vessels that began around 2015 (Appendix A). The 2022 RSIA therefore had two steps: 1) an assessment of the potential sensitivity of the stock assessment to missing length data from the commercial fishery; and 2) a stock status update with updated catch advice for both stocks. The RSIA advised to only proceed to Step 2 if the missing length data were “deemed to not be of significance to the quality and rigour of the scientific advice”. Using the 2020 assessment model, the authors presented several sensitivity analyses to the Pacific Cod Technical Working Group (TWG) to evaluate alternative methods for updating the commercial mean weight index. This included a generalized linear model (GLM) for predicting the commercial mean weight index from a survey mean weight index derived from WCVI survey samples. The TWG found that the GLM provided acceptable predictions of the commercial mean weight index for the Area 3CD stock. However, the TWG decided that a similar GLM applied to the 5ABCD stock did not produce predictions consistent enough with the commercial mean weight index in overlapping years to be used in an assessment. Because of this issue with the 5ABCD commercial mean weight index and limited staff resources, Step 2 did not proceed. The Pacific Groundfish Management Unit has not requested updated catch advice for 2023. However, given the three low index points in 2018, 2021, and 2022, Fisheries and Oceans Canada (DFO) Science Branch has issued a RSIA requesting a stock status update for the Area 3CD stock to ensure all three of these index points are considered in a timely evaluation of stock status. While the last assessment found that there was low probability (2%–10%) of the stock falling below its limit reference point (LRP) in 2022 under all considered catch scenarios (DFO 2021), the stock has failed to rebound under low estimated fishing mortality rates. The Fish Stocks provisions (FSP) of Canada’s Fisheries Act require that a rebuilding plan be developed for major fish stocks that have declined to or below their LRP. While the FSP only apply to major stocks prescribed in the Fishery (General) Regulations, guidance has been provided that states that, for stocks not subject to the FSP (such as Pacific Cod), DFO’s Precautionary Approach (PA) Policy (DFO 2009) still applies: “[. . . ] under the [PA] policy, the requirement to develop a rebuilding plan is triggered once the stock declines to, or below, its LRP. However, in keeping with the 2009 PA Policy, if a fish stock is decreasing and approaching the LRP, management measures must encourage stock growth and arrest preventable declines, and the development of a rebuilding plan should be initiated sufficiently in advance to ensure that the plan is ready to be implemented if a stock declines to its LRP.” For the purpose of triggering a rebuilding plan, the guidance provides the following definitions of whether a stock is at or below its LRP: “[A stock] is considered to be at or below its LRP if the terminal year stock status indicator is estimated to be at or below the LRP with a greater than 50% probability or if the projected stock status indicator falls below the LRP with a greater than 50% probability under a zero catch scenario in a 1-year projection, unless an alternative method or probability is defined in a stock specific precautionary approach framework.” This Science Response reports results from the regional peer review of October 20, 2023, on the Status Update of Pacific Cod (Gadus macrocephalus) for West Coast Vancouver Island in 2023. Since there has been no request for catch advice, this is a stock status update only. The update uses the same model configurations as the 2018 and 2020 assessments (Forrest et al. 2020; DFO 2021), including model-averaged stock status based on the same seven sensitivity scenarios as in 2018 and 2020. Due to the ongoing absence of commercial length samples, this update uses the GLM developed in 2022 to update the last five years of the annual commercial mean weight index, based on values from a new survey mean weight index. The survey mean weight index and the GLM are described in Appendices B and C.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0370.024

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.247
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207