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Record W183049723

Characterizing Northern Saw-Whet Owl (Aegolius acadicus) Winter Habitats in South-Central Indiana

2008· article· en· W183049723 on OpenAlexaboutno aff
Ross A. Brittain

Bibliographic record

VenueProceedings of the Indiana Academy of Science · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsEvergreenGeographyHabitatCanopyEcologyPhysical geographyForestryArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Northern Saw-whet Owl (Aegolius acadicus) winter habitat in south-central Indiana was assessed during two winters (2003/2004 & 2004/2005). Differences between locally occupied and unoccupied habitat were examined, and occupied habitat in Indiana was compared to occupied habitat in other regions. Using audio surveys and active voice detection, 40 locations were sampled in the first winter, 45 in the second winter, 35 in both winters and 50 total. The presence of Northern Saw-whet Owls was strongly related to the understory transparency, agreeing with previous studies in Maryland and Michigan showing a correlation with dense vertical structure. However, there was no evidence of a strong correlation between the presence of Northern Saw-whet Owls and either evergreen canopy cover, evergreen stem density or mid-canopy gap, contradicting results from other studies in Minnesota, Maryland and Michigan, though there was a minimum 40% evergreen canopy cover in occupied sites. The lack of consistency among studies indicates regional variability in the habitat structure of sites occupied by Northern Saw-whet Owls, but a dependable reliance on dense cover. Historic records show that Northern Saw­ whet Owls (Aegolius acadicus) occasionally breed in northern Indiana, and migrant popu­ lations spend the winter across the state (Cannings 1993). Christmas Bird Count records have also consistently (since 1985) documented the presence of Northern Saw-whet Owls wintering in south-central Indiana. Between fall and spring migration events, potential south-central Indiana forest sites were surveyed for Northern Saw-whet Owls to characterize occupied habitats in the winters of 2003/2004 and 2004/2005. Northern Saw-whet Owls undergo an annual fall movement from their primary breeding range in boreal forests along the U.S.-Canada border to points as far south as the Gulf Coast (Weir et al. 1980; Cannings 1993; Swengel & Swengel 1997). This partial migration has a high degree of variability due to irruptive years when the number of migrating Northern Saw-whet Owls can be ten times higher than the longterm average (Weir et al. 1980; Whalen & Watts 2002). Breeding Northern Saw-whet Owls are usu­ ally found in coniferous or mixed coniferous­ deciduous forests with a well-developed middle canopy of coniferous trees (Cannings 1993). Wintering and migrating Northern Saw-whet Owls appear to rely on dense vegetation for

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.006
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.234
Teacher spread0.217 · 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.

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

Citations4
Published2008
Admission routes1
Has abstractyes

Explore more

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