Effects of harvest intensity and aspect on a boreal transition tolerant hardwood forest. I. Initial postharvest understory composition
Bibliographic record
Abstract
Disturbance effects on plant communities largely reflect the degree of overstory removal, soil disturbance, and attendant vegetation destruction. We examined initial harvest-related impacts of partial and complete canopy removal, with and without soil disturbance, on north- and south-facing aspects of an older, relatively undisturbed, boreal transition tolerant hardwood forest at Turkey Lakes, Ontario. We recorded vascular plant cover in 180 25 m2plots in the 3rd postharvest year and analyzed community response using unconstrained (nonmetric multidimensional scaling) and constrained (distance-based (partial) redundancy analysis) ordination, multivariate ANOVA, indicator species analysis and diversity measures. Community composition and diversity measures were related primarily to gradients in soil disturbance and, particularly for herbaceous species, aspect-related radiative exposure. Canopy opening generally played a lesser role. There were, however, notable canopy opening – soil disturbance × aspect interaction effects on both woody and herbaceous composition. In contrast with herbs, proportionately more woody species had indicator value for south- than for north-facing aspects and for disturbed than for undisturbed soils. Understory community response and diversity measures were affected more by logging-related soil disturbance than by the amount of canopy opening associated with the silvicultural system used. Aspect-related effects, however, suggest silvicultural impacts will be both site- and species (functional group) specific.
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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) | 0.001 | 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".