FIRE DISTURBANCE PATTERNS AND FOREST AGE STRUCTURE
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT. This paper investigates how the stability of forest age‐distribution is related to the fire regimes. We start with the derivation of theoreticalnegative exponentialforest age‐distribution, and use three models to explore the condition with which a stable age‐distribution could be expected. The results suggested that a stable age‐distribution could always be achieved as long as the forest age‐specific mortality is constant over time, and the shape of a stable age‐distribution is mainly determined by the forest age‐specific mortality. However, the stability of forest age‐distribution will be reduced when a small variation in the age‐specific mortality is introduced. The simulation results of the possible patterns of the age‐distribution under various fire regimes indicated that a variety of age‐distribution curves could appear, including negative exponential and one or multiple peaks in the curves. The results suggested that a stable forest age‐distribution might never be achieved if the forest landscape is subjected to large and irregular fire disturbances.
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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 it