Effects of fire return rates on traversability of lodgepole pine forests for mountain pine beetle: Implications for sustainable forest management
Bibliographic record
Abstract
The spread of mountain pine beetle (MPB) depends on climate, weather, and topography, among other factors. In predicting the spread of the MPB in British Columbia, foresters should specifically consider the susceptibility and traversability of lodgepole pine forests to MPB. In order for beetle infestations to spread through the forests at endemic or incipient beetle population levels, patches of susceptible forest must exist, and these patches must be close enough together that beetles can disperse from one to another. This study determined stand susceptibility by examining simulated effects of fire return rates on the equilibrium age structure of a 1 million ha lodgepole pine forest, and then using the results to generate mosaics of susceptibilities to MPB attack. At the landscape level, "traversability" describes the condition of a forest that allows an incipient beetle population to disperse across it according to defined rules of susceptibility and maximum distance for dispersal through unsuitable habitat. We found that: (1) long fire cycles and fire suppression yielded an age structure that is highly susceptible to beetle attack; and (2) harvesting reduced the mean susceptibility to MPB attack as well as traversability. A combination of early harvesting and moderate fire suppression would theoretically yield an equilibrium forest structure that minimizes both susceptibility and traversability for MPB.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".