Harvest advice for eastern Hudson Bay and James Bay beluga
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,287 | 0,077 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».