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Forest-fire model with natural fire resistance

2011· article· en· 5 citations· W2068889977 on OpenAlex· 10.1103/physreve.83.046118

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

all 1,000 screened works →

All three models called this out of scope.

stratum: about_only · design weight: 3321.24 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Physics-style forest fire model with fire resistance; the object is wildfire dynamics.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

This develops a mathematical model of wildfire behavior rather than studying research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Physics/ecology forest-fire model paper; domain natural science.

Abstract

Observations suggest that contemporary wildfire suppression practices in the United States have contributed to conditions that facilitate large, destructive fires. We introduce a forest-fire model with natural fire resistance that supports this theory. Fire resistance is defined with respect to the size and shape of clusters; the model yields power-law frequency-size distributions of model fires that are consistent with field observations in the United States, Canada, and Australia.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
Physical Review E
Topic
Fire effects on ecosystems
Field
Environmental Science
Canadian institutions
Funders
Keywords
Resistance (ecology)Natural (archaeology)Environmental scienceFire resistanceField (mathematics)Power lawMeteorologyAtmospheric sciencesGeographyEcologyMathematicsGeologyStatisticsBiologyArchaeologyMaterials science
Has abstract in OpenAlex
yes