Factors affecting northern white-cedar (Thuja occidentalis) seedling establishment and early growth in mixedwood stands
Bibliographic record
Abstract
Regeneration of northern white-cedar ( Thuja occidentalis L.) is often deficient after harvesting in mixedwood stands growing on mesic sites even where browsing pressure is low. We compared the effectiveness of silviculture treatments on early regeneration of white-cedar after single-tree selection cutting (25% of basal area removed), shelterwood seed cut (50% of basal area removed), and group selection cutting (gaps of 625 m 2 ) in three yellow birch ( Betula alleghaniensis Britt.) – softwood uneven-aged stands in Quebec, Canada. Three years after harvesting, the combination of factors that maximized abundance of white-cedar seedlings was single-tree selection cutting with artificial seeding on exposed mineral seedbeds (68.8% of plots with the presence of white-cedar). Early growth of planted white-cedar seedlings (40 cm tall) and biomass production were proportional to light availability, i.e., best under group selection cutting (mean height increment = 14.8 cm/year, mean root collar diameter increment = 3.0 mm/year). Browsing pressure has regional impacts depending on herbivore occupancy of the area. Our study was conducted near the northern limit of white-tailed deer ( Odocoileus virginianus (Zimmerman, 1780)), and deer were locally absent, while snowshoe hare ( Lepus americanus Erxleben, 1777) did not have a consistent effect on seedling abundance and early survival, limiting height growth only during the first year following planting.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".