Long-term differential stem growth responses in mature eastern white pine following release from competition
Bibliographic record
Abstract
The magnitude and duration of the growth response in residual trees following silvicultural release treatments are measures used to assess the success of silvicultural practices. Eighty-eight eastern white pine (Pinus strobus L.) trees, representing three different dominance classes, were sampled destructively from stands from a single study site that included areas of both unharvested (control) and silvicultural release treatments. The study area consisted of several pine mixedwood stands with understory white pine growing in association with an overstory of predominantly intolerant hardwoods. Annual height, diameter, basal area, stem and sawtimber volume increment, pattern of stem increment allocation along the bole, stem form, and heightdiameter ratio were reconstructed over a postrelease period of 23 years using detailed stem analysis. Within 3 years of release, white pine in all dominance classes showed significant increases in diameter, basal area, and volume increment compared with control trees. Differences in the volume increment between released and control trees varied with canopy position, with emergent trees showing the greatest increased volume growth, followed by dominant and intermediate classes, respectively. A temporary shift in the growth allocation pattern along the bole varied depending on crown class, suggesting a period of growth adjustment during which trees are acclimating to changes in resource availability and wind exposure. The shift in growth allocation contributed to increased stem taper, resulting in decreased form class and heightdiameter ratios in the released trees.
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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 | 0.000 | 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 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".