Régénération artificielle des pessières noires à éricacées : effets du scarifiage, de la fertilisation et du type de plants après 10 ans
Bibliographic record
Abstract
Site invasion by ericaceous shrubs after perturbation, either natural or human, is a major concern on some sites of the boreal forest of Québec. A dense cover of ericaceous shrubs often induces a conifer "growth check," which can last several decades. An interaction study was initiated in 1991 with the general objective of developing silvicultural strategies to ensure plantation success on such sites. Black spruce, jack pine, and tamarack seedlings were planted. Stock type, scarification, and fertilization treatments were organised in a randomized block split plot design. We measured seedling total height periodically over a ten-year period and assessed basal area and survival ten years after plantation. Most responses to treatments were additive. Results indicated that mechanical soil scarification is of major importance to ensure seedling growth, both in height and basal area, on spruce-ericaceous shrub sites of northeastern Québec. Scarification allowed a better expression of the site index, implying a sustainable impact on microsite characteristics that is greater than short-term effects on mineralization and nutrient availability. Fertilization positively influenced seedling growth, but less than soil scarification. Species choice had a strong impact on site productivity. Over a ten-year period, stock types only had a minor influence on plantation success, when compared to scarification or fertilization effects. Key words: Kalmia angustifolia, ericaceous shrubs, survival, growth, regeneration, black spruce, jack pine, tamarack
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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 | 0.001 | 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 | 0.001 | 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 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".