How does overstory retention affect above- and below-ground resource availability and seedling performance?: implications for silvicultural systems choice in the ESSF
Bibliographic record
Abstract
In subalpine forests, low light, low soil temperature, and low nitrogen (N) availability may co-limit tree growth. We used greenhouse and field experiments to quantify the effects of these factors on the growth of Picea engelmannii and Abies lasiocarpa seedlings from the subalpine forests of British Columbia. For approximately 500 nitrogen fertilized and unfertilized eight-year old planted seedlings from shelterwood, patch cut, and clear-cut stand treatments, growth was examined as a function of soil temperature, light, and stand treatment. In a greenhouse, growth and photosynthesis were examined at root temperatures representing the range of field growing season temperatures (5, 10, and l5~C). Fertilizer effects on diameter growth in the field were not significant indicating that the seedlings were not N limited. In multiple regression, temperature and light (both partial p
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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 | 0.001 |
| 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 | 0.001 | 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 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".