Fire impacts and crowning in the boreal forest: study of a large wildfire in western Quebec
Bibliographic record
Abstract
Within the context of studying the ecological impacts of wildland fires in the boreal forest, a spatial analysis of a major wildfire was conducted. The fire covered nearly 500 km 2 in the north-western part of Quebec’s boreal forest in the summer of 1995. The spatial distribution of different fire impacts on the forest canopy was obtained using timber damage assessment maps. Fire impacts varied throughout the burned area, ranging from areas where trees had completely burned crowns (43%) to remaining patches of trees with green foliage (3%). The effects of local stand and site factors on crown fire, as assessed by the fire impacts, were evaluated using geographic information systems. Despite the large extent and high intensity of the wildfire created by extreme fire weather conditions, stepwise logistic regression and analysis by log–linear models indicated that variations in surface material, stand composition, and estimated stand age played a role in the presence or absence of crowning at the stand level. However, it appears that height and density of stand, as well as topography, did not have a significant influence. Our study presents the variability of fire impacts and its implications, and it provides a better understanding of the relationships between landscape components and fire crowning. Résumé. Dans le cadre de l’étude de la dynamique de la forêumflex;t boréale, une analyse d’un grand incendie a été réalisée. À la fin de l’été 1995, cet incendie a couvert un territoire de près de 500 km 2 dans la partie nord-ouest de la forêumflex;t boréale québécoise. La distribution spatiale des impacts du feu sur la voute forestière a été obtenue à partir de cartes d’évaluation des dommages aux forêumflex;ts causés par le feu. Dans la zone brûumflex;lée, la gamme des impacts de l’incendie varie d’étendues où les arbres présentent des cimes complètement brûumflex;lées (43%) à des secteurs où le feuillage des arbres est demeuré vert (3%). L’effet de facteurs biotiques et abiotiques sur l’occurrence d’un feu de cime a été établi à l’aide d’un système d’information géographique. Une régression logistique pas à pas et une analyse de modèles log-linéaires ont révélé que certaines modalités des dépôts de surface, de la composition et de l’âge du peuplement ont joué un rôle important dans l’occurrence d’un feu de cime au niveau du peuplement. Par contre, il semble que la hauteur et la densité du peuplement, ainsi que la topographie, n’aient pas eu d’effets significatifs. Notre étude met en lumière la variabilité et l’importance des impacts d’un incendie, tout en permettant de mieux comprendre la relation entre les composantes du territoire et le comportement des incendies.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".