Microhabitat use by the snow vole <i>Chionomys nivalis</i> in alpine environments reflects rock-dwelling preferences
Bibliographic record
Abstract
Environmental conditions in mountainous regions have influenced the nature of some adaptations among small mammals and this may apply to strategies of habitat use in alpine biotopes. In the present paper, microhabitat use in relation to microhabitat availability of a population of snow voles Chionomys nivalis Martins, 1842, a nonhibernating microtine rodent that inhabits high-mountain environments exclusively, was studied. The results show that C. nivalis did not use microhabitats in proportion to availability, suggesting a preference for certain habitat characteristics. Chionomys nivalis strongly used scree areas at all times, whereas the use of available areas of mixed shrubs (Juniperus communis and Cytisus oromediterraneus) and Scots pine (Pinus sylvestris) was lower than expected. Factors other than food, such as favourable microclimate or refuge from predators, might determine regular use of rocky microhabitats. The results also revealed differences in the use of rocky structures related to sex and reproductive condition, suggesting different strategies of spatial use related to reproductive tasks. Juveniles and reproductive females used central zones of the scree and areas with scree junipers (J. communis) significantly more than expected, whereas reproductive males and nonreproductive adults used scree areas in proportion to availability. Based on its unique morphological, physiological, and ecological characteristics, C. nivalis can be considered a rock-dwelling specialist of alpine environments.
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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".