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Record W2778763351 · doi:10.1093/jmammal/gyx170

Respiratory behaviors in sympatric rorqual whales: the influence of prey depth and implications for temporal access to prey

2017· article· en· W2778763351 on OpenAlexfundno aff
Eric M. Keen, Katelyn M Qualls

Bibliographic record

VenueJournal of Mammalogy · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersTides CanadaNational Science Foundation
KeywordsPredationForagingSympatric speciationBiologyBalaenopteraWhaleEcologyFishery

Abstract

fetched live from OpenAlex

Energetically costly lunge feeding at depth causes the respiratory patterns and feeding performance of rorqual whales (Family Balaenopteridae) to hinge in part upon prey patch depth. This contingency has the potential to precipitate differences in prey preference and habitat suitability for sympatric species and may be a factor in competitive interactions, but comparative respiration studies are a necessary first step in assessing this hypothesis. We concurrently sampled dive behavior in sympatric, euphausivorous humpback (Megaptera novaeangliae) and fin whales (Balaenoptera physalus), as well as prey depth distribution within a British Columbia fjord system over the course of 2 summers. Ventilation and dive patterns differed significantly between species, including differential respiratory response to increasing prey depth, despite their foraging upon a common prey resource. Thanks to longer dives and shorter surface recoveries, fin whales spent a greater proportion of their time on dives. This behavior, coupled with faster swim speeds during descent and ascent reported in previous studies, afford fin whales greater periods of time at the depth of their prey. These interspecific discrepancies in dive behavior determine the whales' relative temporal access to prey. Simulations based on our observations indicate that the fin whale's relative advantage in this fjord system increases with increasing prey depth when all other prey parameters are held constant. Simulation results emphasize the importance of swim speed in rorqual foraging strategy. Small differences in prey access per dive can have important implications over the course of a foraging season, which may precipitate differences in habitat suitability. Our findings, when coupled with the body of knowledge from tagging studies, highlight this link and point to its potential role in the habitat preferences of foraging whales.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.055
GPT teacher head0.349
Teacher spread0.294 · 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.

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

Citations10
Published2017
Admission routes1
Has abstractyes

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