Forest light and structure in relation to disturbances: comparing mountain pine beetle, wildfire and salvage logging
Bibliographic record
Abstract
In this research I characterize the early post-disturbance forest light environment and structure of lodgepole pine forests in the southern interior of British Columbia after mountain pine beetle attack, wildfire and salvage logging.These different, and at times sequential, disturbances influence structural complexity, overstory composition and the heterogeneity of light transmission in different ways.Beetle disturbance left complex patterns of gap light in the mixed-species canopy, which accelerated the growth release of surviving trees.After wildfire, there were predominantly dead structural legacies and high variability of light and residual structural elements.Salvage logging after fire or beetles significantly reduced the amount and diversity of biological legacies and led to a more homogeneous, bright light environment than after only the natural disturbances.The resulting homogeneity of post-salvaged stands and variability of light and structure in unsalvaged stands will influence patterns of forest development and have implications for management.
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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 | 0.001 | 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".