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Record W4413095078 · doi:10.5038/2074-1235.50.2.1485

Nocturnal Flight Activity by Northern Gannets <i>Morus bassanus</i> in Response to Predator Presence

2022· article· en· W4413095078 on OpenAlexafffundabout
Kyle J. N. d’Entremont, William A. Montevecchi

Bibliographic record

VenueMarine ornithology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsMemorial University of Newfoundland
FundersFisheries and Oceans CanadaMemorial University of Newfoundland
KeywordsNocturnalForagingPredationSeabirdPredatorBiologyMorningNest (protein structural motif)MainlandEcologyFisheryZoologyGeography

Abstract

fetched live from OpenAlex

The Northern Gannet Morus bassanus typically flies only during the day, with minimal flight activity following civil twilight. Here we document nocturnal flight activity by Northern Gannets in response to predation risk by Eastern Coyotes Canis latrans. Eight parental gannets were fitted with GPS/time-depth recorders on 15 July 2021 at mainland nest sites at Cape St. Mary’s, Newfoundland, Canada. Previously, among 506 foraging trips in 2019 and 2020 that were investigated using biologging, only two were initiated at night, suggesting nocturnal departures for foraging are very rare at this colony. Then, however, killings of chicks by coyotes occurred within our study plot on 24 July 2021. From 24 July to 20 August 2021, we recorded 51 instances of nocturnal departures from the colony during which individuals rested on the water overnight and returned to the colony by the following morning without foraging, which we deem to be a response to predator disturbance. The predation and nocturnal anti-predator flight behaviour recorded in this study is indicative of the risks associated with mainland nesting by colonial seabirds.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

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 science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes3
Has abstractyes

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