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Record W2110684105 · doi:10.1525/cond.2012.110145

Vocal and Visual Conspecific Cues Influence the Behavior of Chimney Swifts at Provisioned Habitat

2012· article· en· W2110684105 on OpenAlexafffundabout
Leah Finity, Joseph J. Nocera

Bibliographic record

VenueOrnithological Applications · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsMinistry of Natural Resources and ForestryTrent University
FundersNatural Sciences and Engineering Research Council of CanadaTrent UniversityMinistry of Natural Resources
KeywordsHabitatSeasonal breederEcologySettlement (finance)Chimney (locomotive)Range (aeronautics)Home rangeSensory cueBiologyNesting seasonGeographyMeteorology

Abstract

fetched live from OpenAlex

Numerous species use socially derived information from conspecifics to evaluate the quality of potential habitat. We examine whether conspecific cues influence Chimney Swift (Chaetura pelagica) behavior at uninhabited provisioned habitat, and whether their response in the pre- and post-breeding seasons differs. We used conspecific playbacks and decoys at 19 towers designed for the swift's nesting in southern Ontario, Canada, and monitored response before, during, and after the experiment. In the pre-breeding season Chimney Swifts spent more overall time within 25 m of the towers regardless of experimental treatment. The length of time individuals spent in range of the towers increased when conspecific cues were deployed. In the pre-breeding season this effect ceased with the removal of cues, while in the post-breeding season the time spent in range increased following the removal of cues. We assert that conspecific cues influence Chimney Swift behavior, particularly in the post-breeding season when juveniles are likely prospecting for future nesting sites. Settlement in the towers did not improve during the years of this study, which may be because (1) provisioned habitat did not meet other requirements for settlement, (2) conspecifics influence behavior but they are not prerequisites for habitat selection, or (3) conspecific cues must be present for longer or more frequent periods to elicit settlement. However, Chimney Swifts showed a strong behavioral response to treatment which, provided all other cues for settlement are fulfilled, indicates that conspecific cues may encourage Chimney Swifts to settle in provisioned habitat.

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 score0.004
Threshold uncertainty score0.611

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 studies0.0000.001
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 head0.015
GPT teacher head0.261
Teacher spread0.247 · 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
Published2012
Admission routes3
Has abstractyes

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