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Record W7139552126

Wood Turtle (<em>Glyptemys insculpta</em>) Spatial Ecology, Habitat Selection, and Use of Restored Oak-Pine Barrens in Northwestern Michigan

2022· article· W7139552126 on OpenAlexaboutno aff
Diana Paige Methner

Bibliographic record

VenueLanguage arts journal of Michigan · 2022
Typearticle
Language
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsTurtle (robot)HabitatRiparian zoneEndangered speciesHome rangeWildlifePopulationRange (aeronautics)
DOInot available

Abstract

fetched live from OpenAlex

Habitat fragmentation and loss, predation, and illegal collection are among the many threats plaguing turtle species worldwide which have caused substantial population declines. In the United States and Canada, approximately 38% of turtle and tortoise species are under significant threat. The wood turtle (Glyptemys insculpta) a freshwater turtle species experiencing declines and in 2023, the U.S. Fish and Wildlife Service will determine if this species should be listed under the Endangered Species Act. We studied the spatial ecology of wood turtles in northwestern Michigan, USA to fill knowledge gaps that exist throughout their geographic range. Between May 2021 and August 2022, we used VHF radiotelemetry to track 21 wood turtles which allowed us to quantify home ranges and movement patterns, assess habitat selection, and evaluate use of restored oak-pine barrens. Across both field seasons, average home range sizes were not statistically different between gravid females (23.92 ± 16.26 ha), non-gravid females (11.24 ± 3.40 ha), males (12.76 ± 5.68 ha), and juveniles (3.69 ± 1.46 ha). Gravid females averaged farther distances from the river (219.03 ± 13.85 m) compared to non-gravid females (64.86 ± 4.65 m), males (58.08 ± 2.77 m), and juveniles (34.82 ± 2.79 m). Differences between this population and others can be attributed to variations in the availability of resources, quality of habitat, and accessibility of nesting grounds which are inconsistent across their range. Turtles selected lowland riparian and aquatic habitats and avoided upland forest and forested slopes which echoes other wood turtle studies. One gravid female nested in the restored oak-pine barrens habitat indicating this management practice may benefit the reproductive success of this population through an expansion of nesting opportunities. The variability we observed across years in home range sizes, movement distances, and habitat selection among sex and reproductive classes within this population, indicates a need for continued monitoring to determine long-term patterns. The use of oak-pine barrens by gravid females both years provides preliminary support that this restoration may benefit this wood turtle population.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.215
Teacher spread0.206 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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