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  1. ArcFuels User Guide and Tutorial: for use with ArcGIS 9

    Fuel management planning can be a complex problem that is assisted by fire behavior modeling and geospatial analyses. Fuel management often is a particularly complicated process in which the benefits and potential impacts of fuel treatments need to be demonstrated in the context of land management goals and public expectations. Fire intensity, likelihood, and effects...

    Author(s):
    Nicole M. Vaillant; Alan A. Ager; John Anderson; Lauren Miller
    Year:
    2013
    Keywords:
    ArcGIS, fire behavior models, forest growth models, fuel treatment planning, wildfire hazard, wildfire risk
    Source:
    Gen. Tech. Rep. PNWGTR-877. Portland, OR: U.S. Department of Agriculture, Forest Service, PacificNorthwest Research Station. 256 p.

  2. ArcFuels: an ArcMap toolbar for fuel treatment planning and wildfire risk assessment

    Fire behavior modeling and geospatial analysis can provide tremendous insight to land managers in defining both the benefits and potential impacts of fuel treatments in the context of land management goals and public expectations. ArcFuels is a streamlined fuel management planning and wildfire risk assessment system that creates a trans-scale (stand to large landscape...

    Author(s):
    Nicole M. Vaillant; Alan A. Ager
    Year:
    2014
    Keywords:
    Fuel treatments, wildfire risk, planning, fire behavior modeling, vegetation modeling
    Source:
    Fire Management Today

  3. Modeling bark beetles and fuels on landscapes: A demonstration of ArcFuels and a discussion of possible model enhancements

    The Westwide Pine Beetle Model and the Fire and Fuels Extension were used to simulate a mountain pine beetle outbreak under different fuel treatment scenarios on a 173,000 acre landscape on the Deschutes National Forest. The goal was to use these models within ArcFuels to analyze the interacting impacts of bark beetles and management activities on landscape fuel...

    Author(s):
    Andrew J. McMahan; Alan A. Ager; Helen Maffei; Jane L. Hayes; Eric L. Smith
    Year:
    2008
    Keywords:
    forest management, forest planning, growth and yield, vegetation dynamics, habitat modeling, carbon inventory, prognosis model, landscape dynamics, fire, fuels, climate change, economics, forest health
    Source:
    In: Havis, Robert N.; Crookston, Nicholas L., comps. 2008. Third Forest Vegetation Simulator Conference; 2007 February 13–15; Fort Collins, CO. Proceedings RMRS-P-54. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 40-52

  4. ArcFuels10 system overview

    Fire behavior modeling and geospatial analyses can provide tremendous insight for land managers as they grapple with the complex problems frequently encountered in wildfire risk assessments and fire and fuels management planning. Fuel management often is a particularly complicated process in which the benefits and potential impacts of fuel treatments need to be...

    Author(s):
    Nicole M. Vaillant; Alan A. Ager; John Anderson
    Year:
    2013
    Keywords:
    ArcGIS, fire behavior models, forest growth models, fuel treatment, planning, wildfire hazard, wildfire risk
    Source:
    Gen. Tech. Rep. PNW-GTR-875. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 65 p.

  5. Overview and example application of the Landscape Treatment Designer

    The Landscape Treatment Designer (LTD) is a multicriteria spatial prioritization and optimization system to help design and explore landscape fuel treatment scenarios. The program fills a gap between fire model programs such as FlamMap, and planning systems such as ArcFuels, in the fuel treatment planning process. The LTD uses inputs on spatial treatment objectives,...

    Author(s):
    Alan A. Ager; Nicole M. Vaillant; David E. Owens; Stuart Brittain; Jeff Hamann
    Year:
    2012
    Keywords:
    Fuel treatment, spatial optimization, forest planning, forest restoration
    Source:
    Gen. Tech. Rep. PNW-GTR-859. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 11 p

  6. Automating the Fireshed Assessment Process with ArcGIS

    A library of macros was developed to automate the Fireshed process within ArcGIS. The macros link a number of vegetation simulation and wildfire behavior models (FVS, SVS, FARSITE, and FlamMap) with ESRI geodatabases, desktop software (Access, Excel), and ArcGIS. The macros provide for (1) an interactive linkage between digital imagery, vegetation data, FVS-FFE, and...

    Author(s):
    Alan Ager; Klaus Barber
    Year:
    2006
    Keywords:
    fire, fire ecology, fuels management, Fireshed Assessment Process, ArcGIS. ArcMap project file, geospatial analyses, ArcFuels
    Source:
    In: Andrews, Patricia L.; Butler, Bret W., comps. 2006. Fuels Management-How to Measure Success: Conference Proceedings. 28-30 March 2006; Portland, OR. Proceedings RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 163-168

  7. Fuel treatment effects on modeled landscape level fire behavior in the northern Sierra Nevada

    Across the western United States, decades of fire exclusion combined with past management history have contributed to the current condition of extensive areas of high-density, shade-tolerant coniferous stands that are increasingly prone to high-severity fires. Here, we report the modeled effects of constructed defensible fuel profile zones and group selection...

    Author(s):
    J.J. Moghaddas; B.M. Collins; K. Menning; E.E.Y. Moghaddas; S.L. Stephens
    Year:
    2010
    Keywords:
    Source:
    Canadian Journal of Forest Research 40, 1751-1765

  8. Spatial allocation of market and nonmarket values in wildland fire management: A case study

    We developed a methodology to evaluate the efficacy of fuel treatments by estimating their costs and potential costs/losses with and without treatments in the San Jacinto Ranger District of the San Bernardino National Forest, California. This district is a typical southern California forest complex containing a large amount of high-valued real estate. We chose four...

    Author(s):
    John W. Benoit; Armando González-Cabán; Francis M. Fujioka; Shyh-Chin Chen; José J. Sanchez
    Year:
    2013
    Keywords:
    Decision-making, FARSITE, fire spread simulation, fuel treatments, GIS, Monte Carlo simulation, San Jacinto Wilderness.
    Source:
    In: González-Cabán, Armando, tech. coord. Proceedings of the fourth international symposium on fire economics, planning, and policy: climate change and wildfires. Gen. Tech. Rep. PSW-GTR-245 (English). Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station: 213-224
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