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Record W4412700994 · doi:10.1016/j.anbehav.2025.123270

Acoustic communication and environmental factors drive coordinated digging behaviour during an early life stage transition of a freshwater turtle

2025· article· en· W4412700994 on OpenAlexafffund
Claudia Lacroix, Christina M. Davy, Njal Rollinson

Bibliographic record

VenueAnimal Behaviour · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsCarleton UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDiggingTurtle (robot)EcologyEnvironmental changeLife historyEnvironmental scienceGeographyBiologyClimate change

Abstract

fetched live from OpenAlex

Acoustic communication is widespread in the animal kingdom and often fundamental to early life survival. Extant archosaurs, birds and crocodilians display complex vocalizations in early life that function in parental care and embryo communication. Turtles are a sister group to archosaurs and vocalize, but they lack parental care, providing an opportunity to decouple parental care from other factors driving the evolution of neonatal communication. Turtle hatchlings produce vocalizations in the subterranean nest before emergence, but their function remains unclear. We hypothesized that acoustic cues may facilitate emergence from the nest by cueing hatchlings to begin digging out of the subterranean nest cavity. We test whether hatchling vocalizations are positively associated with digging activity in hatchling snapping turtles ( Chelydra serpentina ). In two successive years, we monitored subterranean hatchling behaviour in situ with acoustic recorders in seminatural turtle nests. Structural equation modelling revealed that vocalization was causally associated with hatchling movement. Our findings support a hypothesis that early-life acoustic communication coordinates a social activity in the absence of parental care, a function with relatively few described parallels in the animal kingdom.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.692

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)0.0000.000

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 head0.010
GPT teacher head0.253
Teacher spread0.242 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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