Bring on the heat: thermal ecology of <i>Tropidurus semitaeniatus</i> in the Northeast of Brazil
Bibliographic record
Abstract
Body temperature is a key physiological trait for individual fitness. Its effects on behavior and metabolism determine organismal activity. Optimal body temperature can vary among individuals, and consequent activity asynchrony can thus enable the co-occurrence of otherwise competing social strategies. Here, we combine ex-situ experiments with environmental data to test whether variability in thermal traits can explain the maintenance of the alternative reproductive strategies of Tropidurus semitaeniatus (Spix, 1825) male morphs. We predict that morphs and sexes differ in thermal traits. Thus, we tested for differences in their behaviorally determined thermal traits: preferred ( Tp), body ( Tb), and habitat temperatures; basking cover preference (Coverpref); and physiological limits (critical thermal minimum CTmin; and maximum, CTmax). We also calculated T. semitaeniatus’ thermal tolerance traits and compiled a list of Tp for Tropidurids. We found that T. semitaeniatus maintains its Tb below Tp. In addition, and contrary to theoretical predictions for tropical lizards, we found that T. semitaeniatus has a high warming tolerance (8.3 °C) and thermal safety margin (2.4 °C). We found no thermal differences between morphs indicating that thermal ecology does not play a role in the co-existence of color morphs.
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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".