Differences in thermal energetics of the cave myotis (<i>Myotis velifer</i>) from a cool and a warm environment of central Mexico
Bibliographic record
Abstract
Endotherm homeotherms deal with the energetic cost of maintaining a stable body temperature ( Tb) in ecosystems differing in ambient temperature ( Ta). In response, animals adjust some of their thermal energetics to meet the energy requirements of thermoregulation. Bats are small mammals with a geographical distribution that may include environments with different Ta. Therefore, these animals should adjust their thermal energetics depending on the environmental characteristics of the habitats where they live. Using open-flow respirometry, we measured basal metabolic rate (BMR), thermal conductance ( C’), lower and upper critical temperatures ( TLC and TUC), and breadth of the thermoneutral zone (TNZb) of the cave myotis ( Myotis velifer (J.A. Allen, 1890)) living in a coniferous forest versus a tropical deciduous forest in central Mexico. To our knowledge, this is the first attempt to measure thermal energetics at the intraspecific level in populations measured at the same time. Bats from the coniferous forest had lower BMR, C’, TLC, TUC, and a wider TNZb than bats from the tropical deciduous forest. The results we found here are likely the consequence of the differences between the energy demands imposed by Ta, where the animals roost, and the Ta and prey availability of their foraging areas. These differences may help individuals regulate their heat production and dissipation to maintain low thermoregulatory costs in the places they inhabit.
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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 | 0.001 | 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".