Effects of 20th‐century settlement fires on landscape structure and forest composition in eastern Quebec, Canada
Bibliographic record
Abstract
Abstract Questions Which role did historical anthropogenic disturbances play in modifying the natural fire regime? To what extent have they shaped current forest? Do those disturbances have lingering impacts in the present‐day landscape? Are certain tree species related to former land use? Location eastern Quebec, Canada. Methods Spatial data on landscape structure, burnt areas, settlements, and forest patches were vectorized on an archival map dating back to 1938. For each landscape class, the total area, the number of polygons, and the proportion of the total landscape occupied by the largest polygon were analyzed according to elevation and to the Euclidean distance from the "settlement" polygons. An index of the spatial link between the landscape classes was calculated, based on the proportions of the perimeter of the polygons of each class shared with each of the other classes. A Kolmogorov–Smirnov test for pooled data was used to obtain the frequency distributions of landscape classes as a function of distance. The association between settlement fires and present‐day vegetation, and more specifically Populus and Betula stands, was tested by superimposing the most recent ecoforest map on the 1938 land‐use map. Distance bands on either side of the 1938 settlement front were delineated to calculate the proportion of each distance class occupied by present‐day aspen and birch stands. Results Anthropogenic fires generated a recognizable landscape pattern of land use. Burnt areas were mostly located within 2 km from a settlement. Most burnings observed on the 1938 map were human‐induced, based on their spatial connection with the settled areas. Lingering impacts of these 20th‐century fires on present‐day forests were identified using the peculiar spatial distribution of tree species. The presence and spatial distribution of aspen in the present‐day landscape is tightly associated with previously burnt areas. Conclusions Past land‐use strongly altered the natural fires regime and associated tree species. Current land‐use could potentially lead to increased degraded forest landscapes in the near future.
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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".