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Record W7133277262

Spring spawning Atlantic Herring rebuilding plan

2024· other· en· W7133277262 on OpenAlexfundaboutno 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
FundersFisheries and Oceans CanadaState of Maine Department of Marine ResourcesMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
KeywordsStock (firearms)FishingHerringPopulationFish stockHarmEcosystem
DOInot available

Abstract

fetched live from OpenAlex

The main source of serious harm to the southern Gulf of St. Lawrence (NAFO Division 4T 4Vn) Atlantic Herring spring spawning stock productivity and the probable cause of stock decline was environmentally-driven recruitment failure since 1992 associated with a regime shift from cold water/high recruitment to warmer water/low recruitment. Other sources of serious harm include reduced growth, increased predation-driven natural mortality, high fishing mortality during and after the stock decline in the late 1990s and early 2000s, reduced fecundity, and a state of low production and low biomass. A review of candidate spawning stock biomass (SSB) reference points identified the Limit Reference Point (LRP) of 0.4BMSYproxy. A proposed Upper Stock Reference was 0.8BMSYproxy, a target reference point of BMSYproxy, and a removal reference of FMSYproxy. The stock has been below the LRP and in the Critical Zone of Fisheries and Oceans Canada (DFO) Precautionary Approach framework since 2001 (previously 2002). The current definition of the rebuilding target from the rebuilding plan is that the stock must have a 75% probability of being at or above the LRP. It should be amended to include that: (1) the stock must be at or above this level for 2 consecutive years (rebuilt state), and (2) population projections must also show that the stock is likely to continue its positive trajectory under a directed fishery for 2 years after this rebuilt state has been achieved. Even in the absence of fishing mortality, the SSB is unlikely to increase to the rebuilding target under prevailing stock productivity and ecosystem conditions or under various scenarios of natural mortality. In order for the stock to rebuild, recruitment must increase to the intermediate to high levels observed prior to the mid-1990s. With annual fishery removals (directed, bycatch, bait, science) of 150 to 500 tonnes (t), it is expected that SSB will decrease by a small amount (1 to 4%) over a decade compared to no fishery removals. These differences may be negligible because of the associated uncertainty. The main source of spring spawning Atlantic Herring bycatch is the fall season Atlantic Herring fisheries. Historically, the fall mobile gear fishery has landed more spring spawning Herring, however in half of the years from 2017 to 2022, the fixed gear fishery landed the majority. Bycatch in the fall fixed gear fishery is greatest in the South and North regions with minimal contribution from the Middle region. The removals from the spring season bait fishery are highly uncertain, but recent analysis indicates that they were higher than previously assumed and reported. In the event that this bait fishery reopens, removals should be monitored and reported to accurately estimate the associated fishing mortality. An additional measurable objective of the rebuilding plan is increasing the proportion of older fish to levels observed historically (1978-2004). Rebuilding progress will be tracked using the stock assessment model. The periodic review of the rebuilding plan should be set to every 4 years (every other stock assessment cycle) unless the stock productivity or external factors influencing stock dynamics change.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.923
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.012
GPT teacher head0.237
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada→French-language works237,207→