Preempting the pathogen: Blister rust and proactive management of high-elevation pines
Bibliographic record
Abstract
White pine blister rust has been spreading through western forests since 1910, causing widespread mortality in a group that includes some of the oldest and highest-elevation pines in the United States. The disease has recently reached Colorado and is expected to travel through the southern Rockies. Although it cannot be contained, RMRS researchers and collaborators are developing proactive strategies that integrate conservation, ecology, and genetics to prepare ecosystems for invasion of the pathogen.Genetic resistance occurs in a small percentage of individuals in each of the five-needle pine species that are susceptible to the rust. Researchers and managers are identifying how common this resistance is in forest stands and where resistance is located on the landscape by collecting seeds and screening seedlings exposed to the rust for signs of disease development. This information is integrated with new ecological research on population dynamics, climate interactions, and conservation activities to develop management strategies, which may include planting of resistant seedlings or creating regeneration opportunities near resistant trees. Rocky Mountain National Park, which was hit by the rust in 2010, will be one of the first adopters of the proactive management strategy to protect their limber pine populations. Managers with the U.S. Forest Service, other National Parks, and Canadian land management agencies are also putting the proactive approach into practice.
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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 | 0.000 | 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".