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Record W4289209791 · doi:10.3354/esr01204

Annual, seasonal, and diel patterns in blue whale call occurrence off eastern Canada

2022· article· en· W4289209791 on OpenAlexaffabout
JE Wingfield, B. Rubin, Jinshan Xu, JE Stanistreet, HB Moors-Murphy

Bibliographic record

VenueEndangered Species Research · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
FundersNicholas School of the Environment, Duke University
KeywordsDiel vertical migrationRight whaleWhaleEndangered speciesNova scotiaFisheryForagingTwilightGeographyPopulationOceanographyEnvironmental scienceHabitatEcologyBiologyArchaeologyGeology

Abstract

fetched live from OpenAlex

Little is known about the year-round occurrence of blue whales in Atlantic Canadian waters. We used passive acoustic monitoring to investigate blue whale call presence and increase our understanding of year-round blue whale occurrence along the eastern edge of the Scotian Shelf, Nova Scotia, Canada. Blue whale calls were recorded at 3 deep water sites within and near the Gully Marine Protected Area from October 2012 to September 2014 using bottom-mounted passive acoustic recorders. Calls were categorized as either tonal or downsweeping. At all 3 sites, tonal calls occurred most often from November through January in both years and in August 2014, while the majority of downsweeping calls occurred during May through September 2014. There was no discernible diel pattern in the occurrence of tonal calls. Downsweeping calls occurred most often during evening twilight, with a dramatic peak in occurrence during the hour of 19:00 Atlantic Standard Time at all 3 sites. The peak in downsweeping call occurrence during evening twilight may have been related to blue whale foraging ecology. This study sheds light on the poorly understood year-round occurrence of blue whales off Atlantic Canada. Understanding when and where blue whales occur will help to inform management decisions for the protection and conservation of this endangered population.

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 score0.296
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.052
GPT teacher head0.296
Teacher spread0.244 · 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

Citations9
Published2022
Admission routes2
Has abstractyes

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