Wildfire history and its relationship with top-down and bottom-up controls in the Joseph and Gold Creek watersheds, Kootenay Mountains, British Columbia
Bibliographic record
Abstract
This study identifies patterns of historic fire activity that characterise the Joseph and Gold Creek watersheds near Cranbrook, British Columbia as a mixed-severity regime and provide evidence that both bottom-up and top-down controls significantly regulate fire activity. Fire scar chronologies from 33 plots in the watersheds demonstrate that the relative importance of bottom-up controls vary over very short distances. Fire frequency was significantly higher in plots found on a steep southwest-facing sloping compared with the rest of the landscape, an area characterised by xeric conditions. Species distribution was strongly driven by elevation related microclimate and transitioned from fire-resistant to sub-alpine species along elevation gradients, likely reflecting a transition in fire activity - although this could not be substantiated by the fire scar record because of a lack of fire history information. Historic fire activity in this area showed a strong relationship with drought, which may be associated with the warm phase of the Pacific Decadal Oscillation. Similar results were found when analyses were completed using regionally significant fire years. The effects of fire exclusion in the past half century are evident in this fire history reconstruction. The low incidence of fire in the hundred years following a large event in the early 20 th century has served to homogenize the landscape and increase fire hazard in the wildland-urban interface.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".