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Record W7133279127

Harvest advice for eastern Hudson Bay and James Bay beluga

2022· other· en· W7133279127 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 · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersNunavut Wildlife Management BoardDalhousie University
KeywordsBelugaBayBeluga WhaleAerial surveyPopulationStock (firearms)
DOInot available

Abstract

fetched live from OpenAlex

A genetic re-analysis of nearly 3000 beluga samples from the Hudson Bay-Strait complex reaffirmed the existence of four populations (WHB, EHB, JAM, Cumberland Sound), and distinguished a new population in the Belcher Islands (BEL). The BEL and EHB populations overlap genetically and in summer distribution, making it impossible to distinguish animals belonging to these two populations either in the harvest or during the aerial abundance surveys. Therefore, these two populations were combined for the purposes of stock assessment to form a BEL-EHB stock. Total harvest in Nunavik averaged 344 beluga/year during 2016-2021. Three hundred and sixty-six beluga were harvested in 2021-2022. The new genetic analysis was used to adjust the harvest time series which increased the proportion of the newly defined BEL-EHB stock in the total harvest. The greatest changes in proportions were observed in the Hudson Strait Fall, Northeastern Hudson Bay Fall and Sanikiluaq (Belcher Island, Nunavut) harvests. In Hudson Strait, the proportion of BEL-EHB beluga in the harvest is higher in Fall, than during Spring. In October and early November, the proportion of BEL-EHB beluga in the harvest is approximately 50%, but this proportion declined to approximately 10% by the 3rd week of November. Using the new proportions and the newly defined BEL-EHB stock, an average of 95 beluga were removed annually from the BEL-EHB stock between 2016-2021 by Nunavik hunters. An estimated 139 BEL-EHB beluga were harvested in 2020-21. In Sanikiluaq, using these new proportions and the newly defined BEL-EHB stock, an average of 192 animals were removed annually from the BEL-EHB stock between 2016- 2021. An estimated 19 BEL-EHB beluga were harvested in 2020-21. As in the past, visual line-transect surveys were flown in July-August 2021 to estimate beluga abundance in eastern Hudson and James Bays. Ungava Bay was not surveyed. New survey-specific correction factors were developed for availability and perception bias and applied to the time series. Survey corrected abundance estimates were 14,200 (95% CI=9,200-21,900) for James Bay and 2,500 (95% CI=1,400-4,300)3 (rounded to the nearest 100) for the BEL-EHB stock. The 2021 BEL-EHB abundance estimate is the lowest in the time series and has the smallest confidence interval. A population model was fitted to the aerial survey estimates, considering reported harvests and the proportion of BEL-EHB stock animals in the harvests, to provide information on abundance trends and sustainable harvest levels. For the BEL-EHB stock, the model estimated a 2015 abundance of 3,600 animals declining to 2,900 (95% CI=1,700-3,900) beluga in 2021 for an average rate of decline of 3%/year4. An alternative BEL-EHB model run assumed a 2021 survey coefficient of variation of 40%. This run provided an abundance estimate of 3,900 in 2015, declining to 3,200 (95% CI=1,800-4,600) beluga in 2021 for an average rate of decline of 2.5% per year5. The decline is associated with a combination of the Total Allowable Take (TAT) being exceeded and an under-estimate of the proportion of BEL-EHB stock animals in the harvest. In James Bay, the model estimated a 2021 abundance of 16,700 (95% CI=11,600-21,300) in 2021. The population has levelled off since the last assessment. The Potential Biological Removal for this population would be 296 beluga per year6. For the BEL-EHB stock, the management objective is to ensure a 50% probability that the stock will be at or above the 2015 abundance estimate of 3,400 animals after 5 years and 10 years. The model estimates that harvest levels of 0 and 38 beluga respectively would respect this objective. In the alternative model run, assuming a 2021 survey coefficient of variation of 40%, harvests of 60 and 70 beluga7 would respect the management objective after 5 and 10 years respectively. However, since the last assessment, new availability and perception bias corrections have been applied and there is a new survey estimate of abundance. Together these changes result in different estimates of abundance in 2015 of 3,600 or 3,900 animals depending on model scenario. To respect the new benchmarks (3,600 or 3,900), harvest levels need to be reduced to 0-358 BEL-EHB beluga depending on the model scenario, and time frame. The Potential Biological Removal is 5 animals/year assuming a Recovery Factor of 0.1. *2 Erratum June 2024: Original text read as: an average of 24. *3 Erratum June 2024: Original text read as: were 16,300 (95% CI=9,800-27,200) for James Bay and 2,300 (95% CI=1,300-4,200). *4 Erratum June 2024: Original text read as: estimated a 2015 abundance of 3,500 animals declining to 2,700 (95% CI=1,500-3,700) beluga in 2021 for an average rate of decline of 4%/year. *5 Erratum June 2024: Original text read as: coefficient of variation of 48%. This run provided an abundance estimate of 3,900 in 2015, declining to 3,200 (95% CI=1,600-4,600) beluga in 2021 for an average rate of decline of 3% per year. *6 Erratum June 2024: Original text read as: of 19,200 (95% CI=12,500-25,100) in 2021. The population has levelled off since the last assessment. The Potential Biological Removal for this population would be 335 beluga per year. *7 Erratum June 2024: Original text read as: levels of 0 and 20 beluga respectively would respect this objective. In the alternative model run, assuming a 2021 survey coefficient of variation of 48%, harvests of 48 and 65 beluga. *8 Erratum June 2024: Original text read as: in 2015 of 3,500 or 3,900 animals depending on model scenario. To respect the new benchmarks (3,500 or 3,900), harvest levels need to be reduced to 0-65.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.939
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2870.077

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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