The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
An overview of the Fuel Characteristic Classification System — Quantifying, classifying, and creating fuelbeds for resource planningThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System.
Abstract
We present an overview of the Fuel Characteristic Classification System (FCCS), a tool that enables land managers, regulators, and scientists to create and catalogue fuelbeds and to classify those fuelbeds for their capacity to support fire and consume fuels. The fuelbed characteristics and fire classification from this tool will provide inputs for current and future sophisticated models for the quantification of fire behavior, fire effects, and carbon accounting and enable assessment of fuel treatment effectiveness. The system was designed from requirements provided by land managers, scientists, and policy makers gathered through six regional workshops. The FCCS contains a set of fuelbeds representing the United States, which were compiled from scientific literature, fuels photo series, fuels data sets, and expert opinion. The system enables modification and enhancement of these fuelbeds to represent a particular scale of interest. The FCCS then reports assigned and calculated fuel characteristics for each existing fuelbed stratum including the canopy, shrubs, nonwoody, woody, litter–lichen–moss, and duff. Finally, the system classifies each fuelbed by calculating fire potentials that provide an index of the intrinsic capacity of each fuelbed to support surface fire behavior, support crown fire, and provide fuels for flaming, smoldering, and residual consumption. The FCCS outputs are being used in a national wildland fire emissions inventory and in the development of fuelbed, fire hazard, and treatment effectiveness maps on several national forests. Although the FCCS was built for the United States, the conceptual framework is applicable worldwide.
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Citations
Cites
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Cited by
Hiers, J. K., O’Brien, J. J., Mitchell, R. J., Grego, J. M., & Loudermilk, E. L. (2009) · International Journal of Wildland Fire · doi:10.1071/wf08084 · Cited by 170
Ecological foundations for fire management in North American forest and shrubland ecosystems
Keeley, J. E., Aplet, G. H., Christensen, N. L., Conard, S. G., Johnson, E. A., Omi, P. N., Peterson, D. L., & Swetnam, T. W. (2009) · doi:10.2737/pnw-gtr-779 · Cited by 101
Alexandre, P. M., Stewart, S. I., Mockrin, M. H., Keuler, N. S., Syphard, A. D., Bar-Massada, A., Clayton, M. K., & Radeloff, V. C. (2016) · Landscape Ecology · doi:10.1007/s10980-015-0257-6 · Cited by 83
Rey‐Salgueiro, L., Martínez‐Carballo, E., Merino, A., Vega, J. A., Fonturbel, M. T., & Simal‐Gandara, J. (2018) · Land Degradation & Development · doi:10.1002/ldr.2806 · Cited by 39
Gray, M. E., & Dickson, B. G. (2015) · Ecological Applications · doi:10.1890/14-0367.1 · Cited by 21
Metadata
- Authors
- Ottmar, R. D., Sandberg, D. V., Riccardi, C. L., & Prichard, S. J.
- Venue
- Canadian Journal of Forest Research
- Publisher
- Canadian Science Publishing
- Published
- 2007-12
- Volume
- 37
- Issue
- 12
- Pages
- 2383-2393
- ISSN
- 0045-5067 (ISSN-L)
- 1208-6037
- OpenAlex
- W2097947367
- Cited by
- 294
- References
- 44
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An overview of the Fuel Characteristic Classification System — Quantifying, classifying, and creating fuelbeds for resource planningThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System. https://app.cochat.ai/papers/10.1139/x07-077
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- Ottmar, R. D., Sandberg, D. V., Riccardi, C. L., & Prichard, S. J. (2007). An overview of the Fuel Characteristic Classification System — Quantifying, classifying, and creating fuelbeds for resource planningThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System. Canadian Journal of Forest Research. https://doi.org/10.1139/x07-077
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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.