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7 results found
Fuel treatment effectiveness in Southern forests has been demonstrated using fire behavior modeling and observations of reduced wildfire area and tree damage. However, assessments of treatment effectiveness may be improved with a more rigorous accounting of the fuel characteristics. We present two…
Author(s): Roger D. Ottmar, Susan J. Prichard
Keywords: fuel treatment effectiveness, fire behavior, fire hazard, Fuel Characteristic Classification System, Southeastern United States, longleaf pine
Source: Forest Ecology and Management. 273: 17-28
Year: 2012
We used a combination of field measurements and simulation modelling to quantify the effects of salvage logging, and a combination of salvage logging and pile-and-burn fuel surface fuel treatment (treatment combination), on fuel loadings, fire behaviour, fuel consumption and pollutant emissions at…
Author(s): Morris C. Johnson, Jessica E. Halofsky, David L. Peterson
Keywords: blowdown, CONSUME 3.0, FFE-FVS, fuel reduction treatments, fuels, Fuel Characteristic Classification System, windstorms
Source: International Journal of Wildland Fire. 22: 757-769
Year: 2013
Fire hazard mitigation planning requires an accurate accounting of fuel complexes to predict potential fire behavior and effects of treatment alternatives. In the southeastern United States, rapid vegetation growth coupled with complex land use history and forest management options requires a…
Author(s): Anne G. Andreu, Dan Shea, Bernard R. Parresol, Roger D. Ottmar
Keywords: fuel characteristics, surface fire behavior, fuel reduction, fuel load, Fuel Characteristic Classification System, southeastern United States
Source: Forest Ecology and Management. 27: 4–16
Year: 2012
Landscape-scale fire behavior analyses are important to inform decisions on resource management projects that meet land management objectives and protect values from adverse consequences of fire. Deterministic and probabilistic geospatial fire behavior analyses are conducted with various modeling…
Author(s): LaWen T. Hollingsworth, Laurie L. Kurth, Bernard R. Parresol, Roger D. Ottmar, Susan J. Prichard
Keywords: fire behavior, FlamMap, Fuel Characteristic Classification System, LANDFIRE, Southern Wildfire Risk Assessment
Source: Forest Ecology and Management. 273: 43-49.
Year: 2012
Currently geospatial fire behavior analyses are performed with an array of fire behavior modeling systems such as FARSITE, FlamMap, and the Large Fire Simulation System. These systems currently require standard or customized surface fire behavior fuel models as inputs that are often assigned…
Author(s): Bernard R. Parresol, Joe H. Scott, Anne Andreu, Susan Prichard, Laurie Kurth
Keywords: calibration, centroid, cluster analysis, Euclidean distance, Fuel Characteristic Classification System, surface fuels
Source: Forest Ecology and Management. 273:50–57
Year: 2012
In many fire-prone forests in the United States, changes occurring in the last century have resulted in overstory structures, conifer densities, down woody structure, and fuel loads that deviate from those described historically. With these changes, forests are presumed to be unsustainable. Broad-…
Author(s): Andrew Youngblood, Clinton S. Wright, Roger D. Ottmar, James D. McIver
Keywords: Douglas-fir, Fire and Fire Surrogate study, fire potentials, fuel characteristics, Fuel Characteristic Classification System, fuel reduction, ponderosa pine, restoration treatments, prescribed burning, thinning
Source: Forest Ecology and Management. 255: 3151-3169
Year: 2007
Accurate fuel load and consumption predictions are important to estimate fire effects and air pollutant emissions. The FOFEM (First Order Fire Effects Model) is a commonly used model developed in the western United States to estimate fire effects such as fuel consumption, soil heating, air…
Author(s): Virginia L. McDaniel, Roger W. Perry, Nancy E. Koerth, James M. Guldin
Keywords: fire effects models, fire emissions, Fuel Characteristic Classification System, shortleaf pine
Source: Forest Science. 62(3): 307-315
Year: 2016