Night moves: nocturnal movements of endangered spotted turtles and Blanding's turtles
Bibliographic record
Abstract
Abstract Diel activity patterns in animals can be diurnal (concentrated during daylight), nocturnal (concentrated during darkness), cathemeral (both daylight and darkness) or crepuscular (concentrated at twilight). Freshwater, Nearctic turtles are typically considered diurnal, apart from crepuscular or nocturnal nesting migrations by mature females. However, some crepuscular and nocturnal activity has been observed in non‐nesting freshwater turtles. There are no quantitative studies of nocturnal movements in freshwater turtles, but GPS‐tracking devices provide an opportunity to collect and archive locations for 24 h, providing the GPS antenna is exposed above water. We collected GPS locations and shell temperatures from mature spotted turtles (Clemmys guttata, n = 12) and Blanding's turtles (Emydoidea blandingii, n = 12) from May to July 2018 in southern Ontario, Canada. We compared the minimum distance moved by turtles during the day and night, and we tested previously proposed hypotheses that nocturnal movement is linked to nesting or thermoregulatory benefits. Blanding's turtle movements were primarily diurnal, but spotted turtles were cathemeral. Nocturnal activity by spotted turtles was not restricted to the nesting season and did not confer thermoregulatory benefits. We hypothesize that nocturnal exposure and movement by spotted turtles provide increased time for foraging or mate‐seeking, allowing daytime hours to be used for basking. Our study demonstrates cathemeral diel patterns in spotted turtles and quantitatively tests hypotheses about the drivers of nocturnal behaviour in freshwater turtles. Future research should use observational methods in order to better understand the purpose of nocturnal activity in Nearctic, freshwater turtles.
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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 | 0.001 | 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".