The Effects of Flooding on the Spatial Ecology of Spotted Turtles (Clemmys guttata) in a Partially Mined Peatland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many studies have focused on the effects of anthropogenic habitat alterations on animals, but little attention has been given to the effects of natural changes in habitat. The purpose of our study was to examine the effects of flooding caused by Beaver (Castor canadensis) dams on the spatial ecology of the federally endangered Spotted Turtle (Clemmys guttata), in a bog in Ontario that was historically drained for peat extraction. We hypothesized that home range sizes and daily distances traveled would be greater after flooding and that habitat selection would change because turtles would exploit the increase in aquatic habitats post-flooding. Using 12 years of mark–recapture data, radio telemetry, and GIS software, we compared movements and habitat selection before and after flooding. Distances traveled and home range sizes were larger post-flood compared to pre-flood conditions, indicating that turtles were opportunistically exploring the new aquatic habitat. During pre-flooding, turtles primarily selected the drainage ditches created to facilitate peat extraction; these were the only aquatic habitat available. After flooding, there was a strong preference for newly flooded areas and drainage ditches, showing that turtles exploited the increase in available aquatic habitat. Our findings indicate that natural habitat alteration resulting from Beaver dam flooding may be beneficial for Spotted Turtles, although observations also suggest that nesting habitat may be limited due to the flooding, and further research is needed to determine the effect of the flooding on recruitment into the 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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it