The DOI matches its Crossref record.
Aids to determining fuel models for estimating fire behavior
Open accessAbstract
This report presents photographic examples, tabulations, and a similarity chart to assist fire behavior officers, fuel management specialists, and other field personnel in selecting a fuel model appropriate for a specific field situation.Proper selection of a fuel model is a critical step in the mathematical modeling of fire behavior and fire danger rating.This guide will facilitate the selection of the proper fire behavior fuel model and will allow comparison with fire danger rating fuel models.The 13 fire behavior fuel models are presented in 4 fuel groups: grasslands, shrublands, timber, and slash.Each group comprises three or more fuel models; two or more photographs illustrate field situations relevant to each fuel model.The 13 fire behavior fuel models are crossreferenced to the 20 fuel models of the National Fire Danger Rating System by means of a similarity chart.Fire behavior fuel models and fire danger rating fuel models, along with the fire-carrying features of the model and its physical characteristics, are described in detail.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Cochrane, M. A. (2003) · Nature · doi:10.1038/nature01437 · Cited by 1,218
How to Predict the Spread and Intensity of Forest and Range Fires
Rothermel, R. C. (1983) · doi:10.2737/int-gtr-143 · Cited by 742
A review of prescribed burning effectiveness in fire hazard reduction.
Fernandes, P. M., & Botelho, H. S. (2003) · International Journal of Wildland Fire · doi:10.1071/wf02042 · Cited by 718
Scott, J. H., & Burgan, R. E. (2005) · doi:10.2737/rmrs-gtr-153 · Cited by 636
Cheatgrass (Bromus tectorum L) dominance in the Great Basin Desert
Knapp, P. A. (1996) · Global Environmental Change · doi:10.1016/0959-3780(95)00112-3 · Cited by 560
Metadata
- Authors
- Anderson, H. E.
- Publisher
- U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station
- Published
- 1982
- OpenAlex
- W2170611232
- Cited by
- 984
- References
- 0
- Type
- report
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aids to determining fuel models for estimating fire behavior. https://app.cochat.ai/papers/10.2737/int-gtr-122
- The paper
- Anderson, H. E. (1982). Aids to determining fuel models for estimating fire behavior. https://doi.org/10.2737/int-gtr-122
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.