The Effects of Mountain Pine Beetle Attack on Lodgepole Pine Wood Morphology and Chemistry: Implications for Wood and Fiber Quality
Bibliographic record
Abstract
The mountain pine beetle, Dendroctonus ponderosae Hopkins, is currently devastating the lodgepole pine resource in western Canada, and in an attempt to circumvent the problem significant volumes of infested or dead wood are being harvested.In order to fully utilize the killed resource, it is crucial to understand how the pine beetle impacts wood quality.A thorough analysis of beetle-killed and sound lodgepole pine trees indicated that the infested sapwood and heartwood had substantial moisture loss, and that the moisture content decreased with increasing tree height when compared to sound wood.The infested wood was also shown to have a lower specific gravity than sound wood, and tended to decrease with increasing tree height.Chemical analysis indicated that the infested sapwood contained significantly lower concentrations of extractives when compared to sound sapwood, and that extractives content increased towards the crown.Additionally, the infested sapwood also had lower lignin and hemicellulose contents when compared to the sound sapwood.Wood permeability showed that infested sapwood was more permeable than sound sapwood, while the opposite was true for the heartwood, with the sound heartwood being more permeable than the infested heartwood.Permeability in both sapwood and heartwood varied with tree height and correlated with extractives content.These chemical and morphological changes significantly influence the quality of wood and fiber obtained from this substantial resource.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.005 |
| 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 teacher head, 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".