Movement patterns in Florida pine snakes are shaped by landscape heterogeneity, ambient air temperature and reproductive ethology
Bibliographic record
Abstract
Abstract Although variation in space use has been investigated extensively in terrestrial vertebrates, there have been recent criticisms that there are more data for mammals than reptiles. This may be an important consideration because the factors that shape movement patterns in reptiles could differ from those of mammals leading to misleading generalizations if data for mammals are extrapolated to reptiles. Here, we quantified the relationships between space use size, movement velocity and turn angle in 24 adult Florida pine snakes (Pituophis melanoleucus mugitus). We tested the effects of site, season, sex, the distribution of vegetation cover, and ambient air temperature on movement patterns. We also assessed the use of underground refugia across seasons, because underground refugia are thought to play an important role in the ecology and evolution of Florida pine snakes. Our results indicate that the movement patterns that shape space use variation in Florida pine snakes are affected by the heterogeneity of suitable microhabitats across landscapes, ambient air temperature and reproductive ethology. This study strengthens our collective understanding of movement patterns in Florida pine snakes and contributes to a growing body of knowledge of the movement ecology of snakes. Broadly, our results highlight general differences in the movement ecologies of mammals and Florida pine snakes that could potentially extend to our understanding of other ectothermic lineages, being predictably linked to metabolic theory.
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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".