<i>Neofusicoccum arbuti</i> : a hidden threat to <i>Arbutus menziesii</i> characterized by widespread latent infections and a broad host range
Bibliographic record
Abstract
The iconic tree species, Arbutus menziesii (Pacific madrona, madrone arbutus), has been in decline in the Pacific Northwest of North America for the past 40 years. It is thought that the fungal pathogen Neofusicoccum arbuti has contributed to the decline of this tree species. In recent years, there have been reports of declining arbutus in the coastal region of southern British Columbia, Canada. We conducted intensive sampling in a park with severely affected arbutus trees to determine the cause and prevalence of decline. The majority of arbutus trees sampled in this study had cankers associated with N. arbuti infection. We also sought to determine if N. arbuti has additional hosts that could act as a reservoir for this pathogen. Six new hosts of N. arbuti were identified, and a seventh was confirmed; these hosts spanned four taxonomic orders and included Amelanchier alnifolia, Cytisus scoparius (confirmed), Gaultheria shallon, Ilex aquifolium, Rosa sp., Sorbus sitchensis and Spiraea douglasii. Recovery of Neofusicoccum arbuti from both symptomatic and asymptomatic plant tissues of these hosts indicates that it potentially has a broad host range. It remains to be established if N. arbuti is also pathogenic to these hosts. These results highlight the importance of monitoring for this pathogen and assessing the extent of its geographic distribution and its ability to colonize various hosts.
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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 | 0.000 | 0.000 |
| 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".