Warming up and shipping out: arousal and emergence timing in hibernating little brown bats (Myotis lucifugus)
Bibliographic record
Abstract
(Uploaded by Plazi for the Bat Literature Project) Phenology refers to the timing of events in the annual cycle of organisms. For temperate-zone mammals, hibernation is one such event, but little is known about its phenology. Hibernation consists of energy-saving torpor bouts interspersed with energetically expensive arousals to normothermic T b, and hibernators should benefit from mechanisms which reduce arousal costs and help them time arousals to coincide with foraging opportunities. In a previous study, we showed that, in contrast to hibernating bats from warmer climates, little brown bats (Myotis lucifugus) from central Canada abandon a circadian pattern to arousal in the middle of winter when there is no chance of feeding. Here, we used temperature telemetry to test whether they would re-synchronize arousals with normal foraging time (i.e. sunset) during late winter as the chance of foraging or emergence opportunities improves, and whether they would synchronize arousals with conspecifics, possibly to exploit social thermoregulation. We also used passive transponders to test whether energy reserves and/or sex differences in reproductive timing influence phenology and the sensitivity of emergence timing to environmental cues. In contrast to patterns in mid-winter, after 7 April 2013, bats synchronized arousals with sunset and with conspecifics. Females emerged earlier than males, and females in the best condition emerged first while body condition had no influence on male emergence timing. Both male and female bats appeared to time emergence with falling barometric pressure, a cue that predicts favourable foraging conditions for bats but which, unlike outside temperature, would have been readily detectable by bats inside the hibernaculum. Our results highlight hibernation traits associated with extreme winter energy limitation for insect-eating bats in cold climates and illustrate the influence of reproductive timing and environmental conditions on hibernation energetics and phenology.
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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".