Terrain Susceptibility to Windthrow of Trees in Subalpine Forests, Canadian Rockies
Bibliographic record
Abstract
Windthrow is a natural disturbance that can result in significant impacts on forests. Modelling of basin-scale patterns of wind speed in subalpine forests of the Canadian Rockies and evaluation of terrain susceptibility to windthrow of trees in these forests have not previously been undertaken. The present study uses the numerical model, WindStation, to simulate wind speed patterns in two mountainous drainage basins in Kananaskis, Canadian Rockies. Locations and associated terrain characteristics where wind speeds for major wind events exceed the threshold of 42 m s-1 are evaluated. Results show that locations where wind speeds exceed the threshold for windthrow and are also treed are limited in spatial extent, occurring mainly at the upper parts of drainage basins close to the drainage divide. Understanding terrain susceptibility to windthrow provides important information about the types of disturbance that control forest dynamics in the subalpine forests of the Canadian Rockies.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".