Thermoregulation in a cold-adapted species (Cyren’s Rock Lizard, <i>Iberolacerta cyreni</i>): influence of thermal environment and associated costs
Bibliographic record
Abstract
Thermal constraints may limit the physiology and behaviour of ectotherms because of the high thermal dependence of metabolic functions. The adaptive mechanisms of thermoregulation and the cost of confronting thermal constraints were studied in the Cyren’s Rock Lizard (Iberolacerta cyreni (Müller and Hellmich, 1937)), a lacertid lizard endemic to mountain areas of central Spain. Semicontinuous monitoring of body temperature (Tb) in the laboratory indicated that the preferred temperature range for this population (Tpref) was lower than those found for most lacertid lizards, and field body temperatures of active animals in summer were even lower than Tpref. Overall these results, together with distribution of field operative temperatures (Te), indicate that I. cyreni is an active and relatively accurate thermoregulator, although limited by thermal constraints in their habitat. Laboratory experiments in contrasting thermal environments showed that even under thermally restricted conditions, lizards achieved their Tpref by modifying their thermoregulatory behaviour, principally through changes in space use, basking time, and body posture. However, these behavioural adjustments to reach the Tpref have associated costs, and lizards spent 80% of their time in thermoregulation when tested under low radiation conditions, which in the wild would limit the scope for other activities and eventually increase predation risk. Our results suggest that thermoregulatory behaviour may play an important role in coping with global climate change, hence predictions of the effects of climate warming on lizards inhabiting cold habitats should take into account the buffering role of behavioural thermoregulation.
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.
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 | 0.001 | 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".