Fynbos live fuel moisture displays limited variation among seasons and fire weather conditions
Bibliographic record
Abstract
Live fuel moisture content (LFMC) is important in vegetation flammability and often considered in fire behaviour modelling and fire danger forecasting. Yet little is known about LFMC in evergreen fynbos shrublands of the Cape Floristic Region which sustain regular high-severity canopy fires in the warm dry season. Temporal variation in LFMC was assessed over 21 months in three prominent plant structural guilds in mesic mountain fynbos in the southeastern Cape Floristic Region in relation to season and weather conditions. Average LFMC ranged from 104%–161% and was significantly higher in proteoids (deep-rooted macrophyllous overstorey shrubs) than in ericoids (shallow-rooted microphyllous understorey shrubs) and restioids (rhizomatous graminoids). Proteoid LFMC fluctuated least among the seasons, while ericoid LFMC peaked in autumn and restioid LFMC in winter. LFMC of proteoids and restioids, respectively, was not correlated with the Canadian fire weather index or its constituent drought indices, the Keetch-Byram drought index, two- or six-month cumulative rainfall, or average temperature of the preceding two months. Ericoid LFMC was significantly correlated with the latter two measures, suggesting a higher level of sensitivity to moisture availability than proteoids and restioids. The differences in LFMC among the fynbos guilds in absolute terms and patterns of seasonal variation align with other evidence of plant-water relations and growth periodicity in these guilds. The lack of responsiveness of LFMC of mixed-species samples representing fynbos guilds to short- and medium-term weather influences implies that incorporating meteorological proxies for LFMC into fire danger forecasting is likely to be arduous in diverse fynbos shrublands.
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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) | 0.000 | 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 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".