Étude des facteurs associés au dépérissement du bouleau à papier en peuplement résiduel après coupe
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
Following harvesting operations within the Quebec mixedwood region, decadence symptoms are frequently observed on residual paper birch trees, compromising future harvests. Simultaneously, these residual stands are often a constraint to the establishment and growth of valuable regeneration. In the context of intensive forest management and preservation of the conifer component in mixedwood stands, it is important to identify factors associated with paper birch post-logging decadence. Ninety-eight (98) stands were sampled along a partial cutting chronosequence of 1 to 11 years old in order to examine five site variables and six stand variables susceptible of explaining post-logging decadence. Classification and regression tree (CART) models indicated that stand variables, mainly residual basal area and time since harvest, were the best predictor variables of decadence. This study suggests maintaining a basal area of at least 16 m 2 /ha and preserving larger diameter stems when the objective is to maintain healthy paper birch for further harvesting. When the silvicultural objective is to regenerate softwoods, this study recommends keeping a residual basal area after partial cutting of no more than 4 m 2 /ha. Keywords: residual trees, competition, mixed stands, partial cutting, tree regression, regeneration
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it