Space use and resource selection of Wood Turtles (<i>Glyptemys insculpta</i>) in the northeastern part of its range
Bibliographic record
Abstract
The threats that affect a species often vary within its geographic range. Wood Turtles ( Glyptemys insculpta (Le Conte, 1830), formerly Clemmys insculpta (Le Conte, 1830)) are a species of concern due to widespread decline from anthropogenic threats. We studied two populations of Wood Turtles from June to September 2019 and 2020 to evaluate how landscape features and vegetative structure influenced space and habitat use and to identify potential risks in the remote, northern parts of its range. We hypothesized that space use would vary due to regional, landscape, and sex-specific differences. Turtles at the conifer-dominated site with higher road density had significantly smaller home ranges than the site with expansive and contiguous floodplains (7.25 ± 1.92 ha and 26.28 ± 6.77 ha, respectively). Females moved farther away from rivers than males (136.00 ± 23.68 m and 69.18 ± 34.81 m, respectively) and made the longest single-event movements. However, movements by males were significantly longer (34.65 ± 1.91 m) than females (23.99 ± 1.03 m) and followed rivers. At finer spatial scales, we found that turtles selected activity areas with complex vegetative structure and a more open canopy. Our study indicates that populations in contiguous forest could be critical to the conservation of Wood Turtles and we discuss management recommendations to reduce potential mortality risks in the northern part of its range.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".