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Predator‐Associated Vocalizations in North American Red Squirrels (<i>Tamiasciurus hudsonicus</i>): To Whom are Alarm Calls Addressed and How do They Function?

2009· article· en· W2012760923 on OpenAlexafffundabout
Shannon M. Digweed, Drew Rendall

Bibliographic record

VenueEthology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsMacEwan UniversityUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of CanadaCalifornia Department of Fish and WildlifeUniversity of Lethbridge
KeywordsPredationAlarm signalALARMPredatorEcologyBiologyHolarctic

Abstract

fetched live from OpenAlex

Abstract Alarm vocalizations produced by prey species encountering predators can serve a variety of functions. North American red squirrels are a small‐bodied mammal popularly known for producing loud, conspicuous alarm calls, but functional accounts of calling in this species are few and contradictory. We conducted research over a 3‐yr period on a sample of 47 marked red squirrels in the foothills of the Canadian Rockies. We recorded the production of alarm calls during encounters with natural predators and in a series of simulated predator experiments. We tested for variation in call production patterns consistent with three traditional hypotheses concerning the conspecific warning functions of alarm calling: namely that they serve as warnings to kin, to potential mates, or to territorial neighbors with which callers have an established relationship. Patterns of calling did not provide clear support for any of these hypothesized functions. We consider several possible qualifications to our results. We also consider the possibility that conspicuous calls given by red squirrels during encounters with predators are directed at the predators themselves and function to announce their detection and possibly deter them. This possibility is consistent with additional life‐history features of red squirrels including that they are a relatively solitary and territorial, food‐hoarding species that produces the same conspicuous vocalizations in response to other squirrels intruding on their territory to steal cones. An important corollary of this account is that red squirrel alarm calls probably do not entail referentially specific messages about different types of predator, as proposed previously.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.656

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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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

Citations19
Published2009
Admission routes3
Has abstractyes

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