Black stain root disease progression in coastal Douglas-fir in British Columbia
Bibliographic record
Abstract
Periodic monitoring of black stain root disease (Leptographium wageneri var. pseudotsugae) in coastal Douglas-fir (Pseudotsuga menziesii) on Vancouver Island and mainland British Columbia, Canada, provided intensification and mortality rates for this disease. Fifteen plots with Douglas-firs of varying ages and sizes and growing on sites with different conditions were established in 1989 and assessed in 1994 and 2000. Overall mortality from black stain root disease increased from 11.4% in 1989 to 19.0% in 2000, or 0.7% per year. A further 6.5% of trees succumbed to other root diseases and 9.4% to unknown causes but most likely black stain root disease. When trees were placed in three diameter classes, there were no significant differences in disease incidence among size classes or over time. Based on plot-level data, the incidence of disease increased with an increase in elevation (P < 0.09) and with an increase in slope (P < 0.08). Mean tree age and aspect were not significantly related to disease incidence. Crown condition rating of trees within the black stain root disease centers was a good predictor of future mortality and further disease progression. Trees with crown condition classes of slightly yellow foliage, moderately yellow foliage, totally yellow foliage, and >50% defoliated in 1989 died at a higher rate as crown condition deteriorated with 26%, 45%, 64%, and 77% tree mortality, respectively, by 2000.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".