Mechanical tree harvesters spread fungal inoculum onto freshly felled Canadian and New Zealand pine logs.
Bibliographic record
Abstract
Mechanical tree harvesters damage the exterior of freshly felled logs, loosening and removing bark, and producing punctures and indentations up to several centimeters deep. Damaged logs are susceptible to invasion by a plethora of wood-inhabiting fungi. In this study, we investigated the role of tree harvesters in disseminating fungi, particularly wood-discoloring fungi, or inoculating Canadian lodgepole pine and New Zealand radiata pine logs. In the study reported here, wood-decaying fungi, staining fungi, and moulds were isolated from a harvester head and the bark of standing lodgepole pine trees. This microflora may be translocated into the sub-surface regions of logs during the harvesting process. In Canada, Aureobasidium pullulans was the most frequently isolated staining fungus followed by Ophiostoma minus and Leptographium spp. All were isolated from stained areas associated with damage sites. Sphaeropsis sapinea was the most prominent species in New Zealand. Tree harvesters clearly play a role in the dissemination of wood-degrading fungi into freshly felled conifer logs.
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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 | 0.000 | 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 | 0.001 | 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 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".