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Record W4412578079 · doi:10.1111/mms.70050

Summer Diet of Humpback Whales in the Northern Strait of Georgia, British Columbia (Canada), Revealed by Stable Isotope Analysis

2025· article· en· W4412578079 on OpenAlexafffundabout
Joan M. Moreaux, Brian P. V. Hunt, Christie J. McMillan, Valentina Melica, Villy Christensen, Sheila J. Thornton

Bibliographic record

VenueMarine Mammal Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsPositive Living Society of British ColumbiaUniversity of British ColumbiaFisheries and Oceans Canada
FundersFisheries and Oceans CanadaNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsOceanographyIsotope analysisFisheryGeographyPacific oceanCetaceaBiologyGeology

Abstract

fetched live from OpenAlex

ABSTRACT North Pacific humpback whales ( Megaptera novaeangliae ) have recovered rapidly following their depletion by commercial whaling. Diet studies are necessary to assess food web implications of their recovery. This study investigates the diet composition of humpback whales foraging in the northern Strait of Georgia, British Columbia, Canada, an area experiencing a recent return of humpback whales. Humpback whale skin samples ( n = 108), juvenile herring ( n = 202), adult herring ( n = 23), euphausiids ( n = 63), and amphipods ( n = 6) were collected in the summer months of 2022 and 2023 and analyzed for carbon (δ 13 C) and nitrogen (δ 15 N) stable isotopes. Applying these isotope data, the Bayesian mixing model MixSIAR was used to estimate the contribution of each prey type to humpback whale diet. We found that, during the summer months, humpback whales primarily consumed euphausiids (85.3%, range: 76.4%–94.0%) and juvenile herring (10.2%, range: 0.8%–21.0%), with minimal contributions from adult herring and amphipods. Diet composition was consistent across months and years. These findings provide critical insights into humpback whale foraging ecology, informing conservation efforts for both predator and prey species in the region.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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 teacher head, not a consensus.

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 routes3
Has abstractyes

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