Snow depth as a function of canopy cover and other site attributes in a forested ungulate winter range in southeast British Columbia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Snow depth is considered a major influence on deer (Odocoileus spp.) winter distribution and abundance in northern parts of their range. Overstorey canopy cover is often considered a principal variable governing snow depths in forests and has implications for managers who wish to achieve reduced snow depths by manipulating canopy closure in forests. I used three years of snow-depth data collected in forested ungulate winter range in southeast British Columbia to determine the relative influence of canopy closure and other site attributes on snow depth. Although canopy closure was a major factor in determining snow depth, it was outweighed by elevation and aspect. I found a close relationship between canopy closure and snow depth at low-elevation sites, but this relationship diminished or disappeared at higher elevations and on cooler aspects supporting the hypothesis that the influence of canopy closure depends on overall snow accumulation. At low elevations, forest managers could use canopy closure to influence snow depths. I offer the generalization that, on similar sites, maintaining 50% canopy closure will reduce snow depths by approximately 20%; 100% canopy closure will reduce snow depths by up to 40%.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it