Biophysical processes of tree mortality in surface fires
Bibliographic record
Abstract
The mechanisms of tree mortality in surface fires are poorly understood.This thesis uses a process approach to address three fundamental processes governing post-fire tree mortality.First, a lumped capacitance heat transfer model is used to predict branch, bud, and foliage necroses in the convective plume above a low intensity linefire.The model predicts that branches, buds, and foliage will have different necrosis heights and highlights the necessity of including heat transfer processes in estimates of post-fire mortality.Second, forced convection correlations are presented for Picea glauca Moench (Voss) and Pinus contorta Dougi.Ex.Loud, branches and buds across a velocity range typical of linefire plumes.These correlations describe the increased convective resistance of foliage and are used to calculate convection heat transfer coefficients for the crown scorch model.Third, allometrically-derived sapwood area budgets for Populus tremuloides Michx., P. glauca, and P. contorta are used to link vascular cambium and vegetative bud necroses to tree mortality.Sapwood area budgets provide a simple, general framework for predicting tree mortality in surface fires which is based on the fundamental processes driving tree architecture.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".