Fleeing to unsafe refuges: effects of conspicuousness and refuge safety on the escape decisions of the lizard<i>Psammodromus algirus</i>
Bibliographic record
Abstract
Theoretical models of escape behavior suggest that the optimal distance at which an animal starts to flee (approach distance) increases with distance to the refuge. However, the extent of reliance on refuges may strongly affect this relationship. The lizard Psammodromus algirus escapes a predator by fleeing into leaf litter, which is very abundant but not a safe refuge because the predator could still locate and capture a concealed lizard. We test the hypothesis that escape decisions of this lizard species are based on the conspicuousness of individuals and the type of refuge used, rather than on the distance to cover per se. A field study showed that approach distance was not significantly correlated with distance to available refuges or distance actually fled. However, the type of microhabitat and the type of refuge used influenced the approach distance. Lizards started to flee earlier in microhabitats where they were presumably more visible to potential predators. Lizards ran to refuges that were similar in quality to, but farther from, the nearest available one. A longer flight may be needed to mislead the predator. However, because fleeing may be costly, the flight distance should be optimized. Thus, lizards ran farther and faster when they fled through unsafe microhabitats. Lizards with a low body temperature have lower escape performance and their approach distances should be greater. However, although air temperature affected escape speed, it was not significantly correlated with approach distance or flight distance. The relatively low reliance on refuges by P. algirus indicated that the expected relationship between escape decision and distance to the refuge did not exist. However, the results indicate that P. algirus optimizes its escape decisions according to the costs of fleeing and the costs of remaining.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".