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Record W7133283167

Stock assessment of Northwest Atlantic harp seals (Pagophilus groenlandicus) in 2024

2025· other· en· W7133283167 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 · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationStock (firearms)HARPSubsistence agricultureAbundance (ecology)Stock assessmentArcticThe arctic
DOInot available

Abstract

fetched live from OpenAlex

The Northwest Atlantic (NWA) harp seal population is hunted throughout its range. Seals are harvested for subsistence purposes in Labrador, Arctic Canada, and Greenland, and a commercial harvest occurs in the Gulf of St. Lawrence and off Newfoundland and Labrador. Stock status and harvest advice are provided using an Integrated Population Model which incorporates the periodic estimates of pup production along with updated data on age composition, age-specific reproductive rates, total removals, and environmental conditions. Pup production was assessed through photographic aerial surveys conducted between March 5-25, 2022. Total pup production was estimated as 614,100 (SE=69,500, CV=11%) (rounded to the nearest hundred). The 2022 pup production estimate is the lowest since 1994. Based on the population model, harp seal abundance increased rapidly from the 1970s through the 1990s, peaking at an estimated abundance of 7.5 million seals (95% Credible Interval, CrI: 6.75-8.42) in 1998. The population declined from 1998-2024 with the exception of a period of relative stability between 2009-2019. The estimated 2024 total abundance is 4.4 million seals (95% CrI: 3.65-5.35). This represents a decline in abundance from 2019 (5.6 million, 95% CrI: 4.78-6.63) at a rate of 4.7% (95% CrI: 2.14-7.45%) per year. Harp seals are managed under the Atlantic Seal Management Strategy (ASMS). Based upon the current population model, the environmental carrying capacity (K) was estimated to be 6.9 million seals (95% CrI: 5.27-8.48), resulting in a Precautionary Reference Point (PRP, N70) of 4.8 million seals and a Limit Reference Point (LRP, N30) of 2.1 million seals. The estimated 2024 total abundance has an 80% probability of being below the PRP and is therefore considered to be in the Cautious Zone. Under the revised ASMS, the sustainable harvest levels that ensure an 80% probability of the population increasing above the PRP (N70) in 1.5 generations (30 y) were estimated for the next five years (2025-2029). The annual Atlantic Canadian sustainable harvest levels which meet this criteria are 253,000, 222,000, and 113,000 seals assuming harvest age compositions of 95%, 90%, and 50% young of the year (YOY), respectively. Based on the estimated 2024 abundance, the annual Potential Biological Removal (PBR) for the NWA population is 121,800 seals. This value includes removals from all sources including reported harvest, struck and lost (killed but not recovered or reported), and bycatch in Canada and Greenland. There is considerable uncertainty in the age structure and level of struck and lost of the subsistence harvest in Greenland. Model results indicate that the Greenland harvest has an important impact on NWA harp seal population dynamics. Our harvest projections assume that ice conditions and environmental variables will remain similar to recently observed conditions. Given predicted changes in the environment, we expect a decline in vital rates which could lead to further population decline and lower sustainable harvest levels.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.259
Teacher spread0.250 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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