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Using historical simulations of vegetation to assess departure of current vegetation conditions across large landscapes[Chapter 11]Author(s): Lisa Holsinger; Robert E. Keane; Brian Steele; Matthew C. Reeves; Sarah Pratt
Source: In: Rollins, Matthew G.; Frame, Christine K., tech. eds. 2006. The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data for wildland fire management Gen. Tech. Rep. RMRS-GTR-175. Fort Collins: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 315-366.
Publication Series: General Technical Report (GTR)
Station: Rocky Mountain Research Station
PDF: View PDF (4.9 MB)
DescriptionThe Landscape Fire and Resource Management Planning Tools Prototype Project, or LANDFIRE Prototype Project, was conceived, in part, to identify areas across the nation where existing landscape conditions are markedly different from historical conditions (Keane and Rollins, Ch. 3). This objective arose from the recognition that over 100 years of land use and wildland fire suppression have dramatically affected wildfire characteristics and associated landscape composition, structure, and function (Turner and others 2001). Metrics were needed to describe the extent and distribution of highly departed landscapes to protect communities, ecosystems, firefighters, and public safety, as outlined in the National Fire Plan (USDA and USDI 2002; U.S. GAO 1999). Accordingly, the Departments of Agriculture and Interior were directed by Congress to develop a cohesive strategy for implementing the National Fire Plan (Laverty and Williams 2000), which resulted in the development of the “Fire Regime Condition Class” (FRCC) classification system for use as a key implementation measure. The FRCC classification is based on the concepts of historical ecology and is intended to represent the departure of current landscapes from the range of variability of historical conditions. Fire Regime Condition Class is defined as: a descriptor of the amount of departure from the historical natural regimes, possibly resulting in alterations of key ecosystem components such as species composition, structural stage, stand age, canopy closure, and fuel loadings (Hann and Bunnell 2001).
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CitationHolsinger, Lisa; Keane, Robert E.; Steele, Brian; Reeves, Matthew C.; Pratt, Sarah 2006. Using historical simulations of vegetation to assess departure of current vegetation conditions across large landscapes[Chapter 11]. In: Rollins, Matthew G.; Frame, Christine K., tech. eds. 2006. The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data for wildland fire management Gen. Tech. Rep. RMRS-GTR-175. Fort Collins: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 315-366.
Keywordsmapping wildland fuel, mapping fire regimes, Geographic Information Systems, GIS, remote sensing, fire ecology, fire behavior, wildland fire management
- Chapter 10 - Using simulation modeling to assess historical reference conditions for vegetation and fire regimes for the LANDFIRE Prototype Project
- The scientific foundation of the LANDFIRE Prototype Project [Chapter 3]
- Chapter 8 - Mapping existing vegetation composition and structure for the LANDFIRE Prototype Project
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