Tree Root Decay in Soils Following Tree Death after a Crown Wildfire, Canadian Rockies: A Field Investigation
Bibliographic record
Abstract
Wildfire disturbances due to lighting strikes are a relatively common occurrence in subalpine forests of the Canadian Rockies. Tree roots found within forest soils are known to undergo decomposition after crown wildfires. As decay progress, this results in changes to tree root characteristics, including the number of remaining tree roots, distribution of tree root diameters and tensile force at failure of remaining roots. These changes, in turn, may impact soil hydrology and the likelihood of geomorphic process occurrence, including debris slides and debris flows. Herein, we present results of an intensive, annual field measurement program covering a period of about one decade that provides information about tree root decay following a crown wildfire in the Canadian Rockies. The crown wildfire burned a total of 17 000 hectares in Kootenay National Park and provided an opportunity to undertake this field measurement program. Hawk Creek drainage basin was the location in which field sampling of tree root data occurred. A total of 15 soil pits over a range of hillslope gradients were dug and key characteristics of all tree roots emerging from walls of soil pits were measured. Numerical analysis of tree root measurements in each year includes the frequency of tree roots in different diameter classes, frequency of tree roots at different depths below the ground surface and lateral root cohesion. One key finding is that tree roots having a smaller diameter fully disintegrate before larger tree roots. In addition, tree roots situated higher in the soil profile (i.e., closer to the surface) decay preferentially compared to tree roots located lower in the soil profile. Results also show that for a given tree root diameter class, the tensile force at failure decreased very rapidly in the first two years after wildfire occurrence. Similarly, the lateral root cohesion decreased rapidly in the first several years following the wildfire, although some root strength was documented even one decade after wildfire occurrence.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".