Draining an unproductive black spruce peatland stand: 18-year post-treatment tree growth and stand productivity estimation
Bibliographic record
Abstract
In the eastern Canadian boreal forest, drainage of unproductive black spruce peatlands is an infrequently used silvicultural treatment. The sparse scientific literature concerning its influence on tree growth is, however, relatively positive about the possibility of using drainage to convert unproductive stands into productive ones. This study aimed to address this issue by assessing the individual tree growth and by estimating the future stand productivity on a drained black spruce peatland stand. Results showed larger mean annual post-drainage stump diameter increment with increasing ditch proximity but they also showed the lack of effect of the treatment at distances greater than 15 m from the ditch. Small-sized trees reacted more strongly to the treatment than larger ones. Estimated site productivity was also influenced by the ditch proximity. The presence of excavating mounds on only one side of the ditch greatly influenced tree growth and site productivity. Considering the obtained results, intensive drainage operations, utilizing narrow ditch spacing, would be necessary in order to transform the type of unproductive sites studied into productive ones. Key words: diameter growth, site index, forested peatland, forest drainage, Picea mariana
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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 | 0.000 | 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) | 0.000 | 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".