Research Database
Displaying 1 - 6 of 6
Modelling conditional burn probability patterns for large wildland fires
Year: 2013
We present a technique for modelling conditional burn probability patterns in two dimensions for large wildland fires. The intended use for the model is strategic program planning when information about future fire weather and event durations is unavailable and estimates of the average probabilistic shape and extent of large fires on a landscape are needed. To model average conditional burn probability patterns, we organised historical fire data from Yellowstone National Park, USA, into a set of grids; one grid per fire. We captured various spatial relationships inherent in the gridded data…
Publication Type: Journal Article
Effects of salvage logging and pile-and-burn on fuel loading, potential fire behavior, fuel consumption and emissions
Year: 2013
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 three points in time: post-windstorm (before salvage logging), post-salvage logging and post-surface fuel treatment (pile-and-burn). Salvage logging and the treatment combination significantly reduced fuel loadings, fuelbed depth and smoke emissions. Salvage logging and the treatment combination…
Publication Type: Journal Article
Filling in the Blanks for Prescribed Fire in Shrublands: Developing Information to Support Improved Fire Planning
Year: 2009
By collecting information on fuel loading, fuel consumption, fuel moisture, site conditions and fire weather on fires in a variety of shrubland types, researchers are developing a fuller knowledge of shrubland fire effects. Results are being integrated into the software package CONSUME, a user-friendly software tool for predicting fuel consumption and emissions for fire, fuel and smoke management planning. Shrubland types studied include chamise chaparral in California, big sagebrush in Montana, pine flatwoods in Florida and Georgia, and pitch pine scrub in the New Jersey Pinelands.…
Publication Type: Report
ArcFuels: Integrating Wildfire Models and Risk Analysis into Landscape Fuels Management
Year: 2009
That risk from wildfire continues to grow across the United States is not a new problem. Managing forest fuels in the real world—such as thinning and burning prescriptively—to reduce fuel loads have been used effectively to reduce the risk of severe wildfire. These actions have been helped by a variety of software tools that assist managers in planning and evaluating fuel treatments to ensure they are cost effective in terms of impeding the growth of future large, severe wildfires. While many landscape planning tools do a fine job within the scope of their capabilities, the process of fine…
Publication Type: Report
Ecological Effects of Prescribed Fire Season: A Literature Review and Synthesis for Managers
Year: 2009
Prescribed burning may be conducted at times of the year when fires were infrequent historically, leading to concerns about potential adverse effects on vegetation and wildlife. Historical and prescribed fire regimes for different regions in the continental United States were compared and literature on season of prescribed burning synthesized. In regions and vegetation types where considerable differences in fuel consumption exist among burning seasons, the effects of prescribed fire season appears, for many ecological variables, to be driven more by fire-intensity differences among seasons…
Publication Type: Report
Consume 3.0 -- A Software Tool for Computing Fuel Consumption
Year: 2009
Knowing when, where and how fire should be applied is critical for land managers planning to use fire prescriptively for land management goals, or allowing fires ignited naturally to burn. Myriad variables need to be taken into consideration to determine how fire will consume different fuels. Consume, version 3.0 is a user-friendly software that incorporates the Fuel Characteristic Classification System (FCCS) to predict fuel consumption, pollutant emissions, and heat release. A flexible tool, Consume 3.0 makes these calculations based on fuel loadings, fuel moisture and other environmental…
Publication Type: Report