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Record W2787092550

Can snapping turtles be used as an umbrella species for Blanding’s turtles in Ontario, Canada?

2018· article· en· W2787092550 on OpenAlexaffabout
Dominic Demers, Emily Hawkins, Gabriel Blouin‐Demers, Annie Morin

Bibliographic record

VenueHerpetology notes · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsCanadian Nuclear LaboratoriesUniversity of Ottawa
Fundersnot available
KeywordsChelydraTurtle (robot)HabitatRange (aeronautics)EcologyPopulationBiologyGeographyFishery
DOInot available

Abstract

fetched live from OpenAlex

Surrogates are commonly used in conservation biology to protect as many species as possible with limited resources. Umbrella species are used under the assumption that protection of their habitat simultaneously protects less demanding species. The purpose of our study was to evaluate the potential use of snapping turtles ( Chelydra serpentina , [Linnaeus, 1758]) as an umbrella species for Blanding’s turtles ( Emydoidea blandingii , [Holbrook, 1838]) in Ontario, Canada. We studied habitat selection and spatial overlap of both species at three spatial scales: provincial, population, and location based on sightings reported by the public and on radio-telemetry data. At the provincial and population scales, habitat selection was very similar for both species. Blanding’s turtles have more specific habitat preferences than snapping turtles at the population and location scales. The entire Blanding’s turtle provincial range is encompassed within the snapping turtle provincial range. Snapping turtles are more abundant and easier to detect than Blanding’s turtles. Our study suggests that protection of snapping turtle habitat may also provide protection for Blanding’s turtles.

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 score0.075
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 head0.038
GPT teacher head0.249
Teacher spread0.211 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

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