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Record W2142603954 · doi:10.1093/beheco/ars119

Habitat selection in site-faithful ovenbirds and recruits in the absence of experimental attraction

2012· article· en· W2142603954 on OpenAlexaff
Stéphane Thériault, Marc‐André Villard, Samuel Haché

Bibliographic record

VenueBehavioral Ecology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of AlbertaUniversité de Moncton
Fundersnot available
KeywordsAttractionBiologySelection (genetic algorithm)HabitatSite selectionEcologyZoologyComputer scienceArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Partial harvesting of forest stands has been shown to cause significant changes in the density of many bird species. However, the behavioral response of individuals to alteration of their habitat has rarely been investigated. Without this information, it is difficult to determine whether shifts in density reflect a response to habitat structure or the use of personal or public information. In this study, we compared the territory settlement sequence of male ovenbirds (Seiurus aurocapilla) with or without prior experience in our study plots upon their return from spring migration. We monitored settlement patterns in 2 pairs of 25-ha plots, 1 plot of each pair having been treated through selection harvesting (30–40% removal) in the winter of 2006–2007. From the second to the fourth year postharvest, control plots were first occupied at least 2–5 days earlier than treated plots. Males who bred successfully in a given year were more likely to return to the same plot the following year, independently of treatment. On average, banded males returning from previous years also tended to settle later in treated plots, but there was no treatment effect on the average settlement date of unbanded recruits. Recruits were never found to settle before the first returning male. Although patterns of first occupation suggest that ovenbirds preferred control plots, conspecific attraction (for recruits) and personal information (for returning individuals) seemed to play a greater role than vegetation structure in the habitat selection process.

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 score0.052
Threshold uncertainty score0.805

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)0.0010.000

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 head0.035
GPT teacher head0.313
Teacher spread0.278 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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