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Mapping fire regimes from data you may already have: assessing LANDFIRE fire regime maps using local productsAuthor(s): Melissa A. Thomas-Van Gundy
Source: In: Waldrop, Thomas A., ed. Proceedings, Wildland fire in the Appalachians: discussions among fire managers and scientists. Gen. Tech. Rep. SRS-199. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station: 132-140.
Publication Series: Paper (invited, offered, keynote)
Station: Northern Research Station
PDF: Download Publication (544.07 KB)
DescriptionLANDFIRE maps of fire regime groups are frequently used by land managers to help plan and execute prescribed burns for ecosystem restoration. Since LANDFIRE maps are generally applicable at coarse scales, questions often arise regarding their utility and accuracy. Here, the two recently published products from West Virginia, a rule-based and a witness tree-based model, are compared to LANDFIRE fire regime groups. A cell-by-cell comparison of fire regime groups revealed a 56-percent correspondence between the rule-based map and LANDFIRE and a 61-percent correspondence with the witness tree-based map and LANDFIRE. All three maps assign the same fire regime group on about 45 percent of the study area with most of the agreement in wetter areas where fire regime group V predominates. Subsectional boundary differences are distinct in the LANDFIRE map compared to the local products which placed a greater emphasis on forest composition. The intent of this work was to describe alternative means of estimating fire regime groups where LANDFIRE products may not represent local conditions.
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CitationThomas-Van Gundy, Melissa A. 2014. Mapping fire regimes from data you may already have: assessing LANDFIRE fire regime maps using local products. In: Waldrop, Thomas A., ed. Proceedings, Wildland fire in the Appalachians: discussions among fire managers and scientists. Gen. Tech. Rep. SRS-199. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station: 132-140.
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- Chapter 10 - Using simulation modeling to assess historical reference conditions for vegetation and fire regimes for the LANDFIRE Prototype Project
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