Évolution des stocks de carbone organique dans le solaprès coupe dans la sapinière à bouleau jaune de l'est du Québec
Bibliographic record
Abstract
Following the Rio and Kyoto protocols, forest sequestration of organic C (Corg) appears to be among the measures to reduce atmospheric C. In this context, we assessed the evolution of soils' reserves of Corg after complete whole-tree forest harvesting in the balsam fir–yellow birch forest of eastern Quebec. The experimental design consisted of eight plots in mature stands, and 10 plots in 7-, 12-, and 22-yr-old clearcuts in the "Seigneurie du Lac Métis", located 80 km south-east of Rimouski, Quebec, Canada. The soil type was an Orthic Humo-ferric Podzol. Major Corg losses occured in the forest floor of the 7-, 12- and 22-yr-old harvested plots compared with mature stands. The FH horizon of harvested plots showed a loss of 44% (−30.5 t ha−1) in dry weight and 13.5% (−62.1 g kg–1) in Corg content between 7 and 22-yr-old harvested plots. More than half the Corg content of the forest floor was lost in that time (−52% or −16.6 t ha−1). The Corg stock of the L horizon were lowered only for the 7-yr-old treatment (2.5 t ha−1) compared with mature stands (4.9 t ha−1). No significant differences in the Corg stocked in the first 30 m of the mineral soil were found between treatments. It appears that the forest floor of balsam fir–yellow birch stands has become a source of Corg for at least 22 yr after forest harvesting. Key words: Forest harvesting, soil, organic carbon, forest floor
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".