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Record W2982404080 · doi:10.1111/jvs.12832

Effects of 20th‐century settlement fires on landscape structure and forest composition in eastern Quebec, Canada

2019· article· en· W2982404080 on OpenAlexafffundabout
Raphaële Terrail, Julie Morin‐Rivat, Guillaume de Lafontaine, Marie‐Josée Fortin, Dominique Arseneault

Bibliographic record

VenueJournal of Vegetation Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsUniversity of TorontoUniversité du Québec à Rimouski
FundersFonds de recherche du Québec – Nature et technologies
KeywordsGeographyHuman settlementPolygon (computer graphics)Elevation (ballistics)Settlement (finance)Physical geographyVegetation (pathology)Disturbance (geology)EcologyForestryCartographyArchaeologyGeology

Abstract

fetched live from OpenAlex

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 specificallyPopulusandBetulastands, 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.002
GPT teacher head0.197
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2019
Admission routes3
Has abstractyes

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