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Record W2132752598 · doi:10.1670/10-219.1

Microhabitat Selection of Woody Debris by Dekay's Brownsnake (Storeria dekayi) in a Dune Habitat in Ontario, Canada

2011· article· en· W2132752598 on OpenAlexaboutno aff
Stephen J. Hecnar, Darlene R. Hecnar

Bibliographic record

VenueJournal of Herpetology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsEcologyHabitatDebrisCoarse woody debrisNational parkBiologyAbundance (ecology)MicroclimateRange (aeronautics)PredationGeography

Abstract

fetched live from OpenAlex

Understanding habitat selection is a fundamental goal of ecology and is vitally important for effective species conservation. Dekay's Brownsnake (Storeria dekayi; hereafter “Brownsnake”) is one of the most widespread snake species in eastern North America, and its association with cover objects is generally well known, but details regarding choice of refuges are largely unknown. We investigated Dekay's Brownsnake microhabitat use during annual surveys at Point Pelee National Park, Ontario, Canada from 1990 to 2010. We systematically checked all woody debris in stabilized dune habitat for snakes and noted the size and state of decay of woody debris that was used. Nearly all of our observations were of gravid females under woody debris. Greater use of large, moderately decayed woody debris relative to the range of available debris provided strong evidence of selection. Although most snakes observed were solitary, we found a significant number of aggregations. Female Brownsnakes appear to migrate to stabilized dune from other habitats in the park to select suitable woody debris for gestation and parturition. Although these refuge sites would reduce predation risk, they also provide a moister and cooler microclimate than ambient conditions. Numerous observations of shed skins also suggested that this woody debris provides important microhabitat for ecdysis. Analysis of relative abundance over time showed considerable variation in numbers (1–31/yr) and an increasing trend. Our results provide strong evidence of microhabitat selection by this species and highlight the importance of not making generalizations about microhabitat requirements, even for common snake species.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.999

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)0.0020.000

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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