Impact of modified retention clearcuts on perimeter stands dominated by trembling aspens
Bibliographic record
Abstract
This study examines post-harvest tree mortality following modified retention clear- cutting of aspen-dominated forests in Duck Mountain, Manitoba.Twenty-meter fixed radius plots were enumerated in undisturbed forest, and in 1,2,4, and 8 year old cutblocks.Bole cracking was more common along perimeter edges.Wind-thrown trees were most common on west-facing cutblock edges, intermediate on south and north edges, and least common on east edges.Most wind-throws resulted from winds from the north and west.Most wind-thrown aspen were stem snapped, but uprooting was more common in white spruce.The wind-throw mortality rate in undisturbed forest was2 treesftta/yr.This increased to 4-8 trees/halyr along cutblock edges.A substantial number of older snags were wind-toppled within a year following clearcutting.After eight years, total wind-throw mortality was twice that of undisturbed forest.A simple model successfully predicted temporal trends in coarse woody debris accumulation following clearcutting.ACKNOWLEÐGEMENTS
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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".