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Record W1971741670 · doi:10.1139/z03-142

Diving behavior of Magellanic penguins (<i>Spheniscus magellanicus</i>) at Punta Tombo, Argentina

2003· article· en· W1971741670 on OpenAlexvenueno aff
Brian Walker, P. Dee Boersma

Bibliographic record

VenueCanadian Journal of Zoology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersExxon Mobil Corporation
KeywordsForagingBiologyPredationEcologyRange (aeronautics)SeabirdZoologyFishery

Abstract

fetched live from OpenAlex

Geographic and temporal variability in the marine environment affects seabirds' ability to find food. Similarly, an individual's body size or condition may influence their ability to capture prey. We examined the diving behavior of Magellanic penguins (Spheniscus magellanicus) at Punta Tombo, Argentina, as an indicator of variation in foraging ability. We studied how body size affected diving capability and how diving varies among years and within breeding seasons. We also compared diving patterns of Magellanic penguins at Punta Tombo with those of birds in two colonies at the opposite end of the species' breeding range. Larger penguins tended to dive deeper and for longer than smaller birds. Trips were longer during incubation and in the years and colonies with lower reproductive success, which suggests that in those instances birds were working hard to recover body condition and feed chicks. Average dive depths, average dive durations, and percentages of time spent diving were always similar. We found that the only parameter these penguins consistently modified while foraging was the length of their foraging trip, which suggests that penguins at Punta Tombo were diving at maximum rates to find their preferred prey. Increasing trip length, we suggest, is a physiologically conservative solution for increasing the likelihood of encountering prey.

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)0.000
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 score0.123
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.000

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 head0.010
GPT teacher head0.207
Teacher spread0.197 · 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

Citations68
Published2003
Admission routes1
Has abstractyes

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