Ectomycorrhizae and forestry in British Columbia: A summary of current research and conservation strategies
Bibliographic record
Abstract
Ectomycorrhizae are fungus-root associations that comprise the feeder roots of most commercially important conifers in British Columbia. A large body of research has been conducted on ectomycorrhizae as they relate to forestry in the province; however, much of this information is scattered and is generally of a highly technical nature.This extension note summarizes the latest research on ectomycorrhizae, including information on the role that ectomycorrhizal fungi play in forest ecosystems. The authors discuss several helpful forest management practices that can maintain a diverse community of ectomycorrhizal fungi across the landscape. These include: retaining refuge plants, mature trees, and old-growth forests; retaining the forest floor during harvest and mechanical site preparation; avoiding high-intensity broadcast burns; minimizing the effects of species shifts, particularly following grass seeding; maintaining the edge-to-area ratio of harvested areas within certain limits; planting a mixture of tree species soon after harvest; retaining coarse woody debris; and managing for the fruiting bodies formed by ectomycorrhizal fungi, including edible mushrooms and truffles, fungi species used by wildlife, and rare and endemic species.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".