Understorey responses to mechanical restoration and drought within montane forests of British Columbia
Bibliographic record
Abstract
Pre- and post-thinning relationships between forest overstorey and understorey characteristics at sites in both the Interior Douglas-fir (IDF) and Ponderosa Pine (PP) biogeoclimatic zones in the East Kootenay region of southeast British Columbia were investigated to quantify understorey responses to dry forest restoration thinning. Pre-thinning data consistently indicated that understorey shrub and herb abundance were positively associated with light intensity and inversely with tree density (i.e., ingrowth) at both locations. Immediately after thinning, greater reductions in tree density or increases in understorey light were generally associated with greater reductions in understorey species richness, diversity, and shrub and herb cover; however, the presence of drought conditions complicated this effect. Overall, the results indicate that while the effects of ingrowth appear detrimental to understorey vegetation, the disturbance caused by mechanical thinning, particularly when accompanied by drought, can reduce the abundance of many important understorey characteristics in the short term. These results have management implications for areas where forest restoration using commercial thinning is being considered.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".