Observations on the Natural History of Bats in the Yukon
Bibliographic record
Abstract
Until recently, bats have not been well surveyed or studied in the Yukon. The little brown bat was known to range north to Mayo and Dawson City in the summer, but little was known of its biology or natural history, or if other species occurred. In this article we report from studies conducted between 1997 and 2008, funded in part by the Northern Research Institute. Current studies are answering questions about bat species that occur in the Yukon, their daily and seasonal activity patterns, foraging and roosting habitats, and population dynamics within roosts and roosting areas. We studied bats by detecting and interpreting ultrasonic echolocation calls (acoustic surveys) and by live capture. Acoustic surveys were conducted at over 100 sites across the little brown bat’s range in the Yukon, where over 7,000 bat passes were recorded. Most of them were little brown bats but we also recorded northern long-eared and big brown or silver-haired bats. We have banded 1,043 little brown bats at twelve maternity colonies in buildings, bat houses, and rock crevices. Locations of hibernating sites remain unknown, but the bat species that occur in the Yukon are migratory and may hibernate a great distance from their summer range. The annual timing of birth of the little brown bat in the Yukon, at the northern edge of their range, is typical for the species. Recaptures of banded bats has documented roost fidelity and the use of multiple roosts within a larger foraging area. We have also documented cohesive movements of colonies during roost switching, long distance dispersal to new roosts, and survival for at least twelve years. Further research is needed to address the substantial gaps in our knowledge about bats in the Yukon.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".