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This report describes a new set of standard fire behavior fuel models for use with Rothermels surface fire spread model and the relationship of the new set to the original set of 13 fire behavior fuel models. To assist with transition to using the new fuel models, a fuel model selection guide, fuel model crosswalk, and set of fuel model photos are provided.
Grassfirespresents the latest information from CSIRO on the behavior and spread of fires in grasslands. This second edition follows ten years of research aimed at improving the understanding of fundamental processes involved in the behavior of bushfires and grassfires. The book has been extensively revised and new case studies have been added to reflect the latest findings in research and investigations. The book covers all aspects of fire behavior and spread in the major types of grasses in Australia. It examines the factors that affect fire behavior in continuous grassy fuels; fire in spinifex fuels; the effect of weather and topography on fire spread; wildfire suppression strategies; and how to reconstruct grassfire spread after the fact. The three fire-spread meters designed by CSIRO and used for the prediction of fire danger and rate of spread of grassfires are explained and their use and limitations discussed. This new edition expands on the historical view of grassfires with respect to extensive Aboriginal burning, combustion chemistry, flame structure and temperature, spotting and spread in discontinuous/eaten out fuels, and the effect of wind in complex terrain. The case studies in the chapter "Wildfires and Their Suppression" have been updated and include the major wild grassfire events of recent years, the January 2003 ACT fires and the 2005 Wangary, SA fire. The "Myths, Facts and Fallacies" chapter includes new myths and a new section on personal safety during a wild grass fire. Of interest to all rural fire fighters and rural landholders, students and teachers of courses on landscape and ecological processes, rural and peri-urban dwellers, fire authorities and researchers.
Prescribed burning is an important tool throughout Southern forests, grasslands, and croplands. The need to control fire became evident to allow forests to regenerate. This manual is intended to help resource managers to plan and execute prescribed burns in Southern forests and grasslands. A new appreciation and interest has developed in recent years for using prescribed fire in grasslands, especially hardwood forests, and on steep mountain slopes. Proper planning and execution of prescribed fires are necessary to reduce detrimental effects, such as the impacts on air and downstream water quality. Check out these related products: Trees at Work: Economic Accounting for Forest Ecosystem Services in the U.S. South can be found here: https://bookstore.gpo.gov/products/trees-work-economic-accounting-forest-ecosystem-services-us-south Soil Survey Manual 2017 is available here: https://bookstore.gpo.gov/products/soil-survey-manual-march-2017 Quantifying the Role of the National Forest System Lands in Providing Surface Drinking Water Supply for the Southern United States is available here: https://bookstore.gpo.gov/products/quantifying-role-national-forest-system-lands-providing-surface-drinking-water-supply Fire Management Today print subscription is available here: https://bookstore.gpo.gov/products/fire-management-today Wildland Fire in Ecosystems: Fire and Nonnative Invasive Plants can be found here: https://bookstore.gpo.gov/products/wildland-fire-ecosystems-fire-and-nonnative-invasive-plants
Fire managers need better estimates of fuel loading so they can more accurately predict the potential fire behavior and effects of alternative fuel and ecosystem restoration treatments. This report presents a new fuel sampling method, called the photoload sampling technique, to quickly and accurately estimate loadings for six common surface fuel components (1 hr, 10 hr, 100 hr, and 1000 hr downed dead woody, shrub, and herbaceous fuels). This technique involves visually comparing fuel conditions in the field with photoload sequences to estimate fuel loadings. Photoload sequences are a series of downward-looking and close-up oblique photographs depicting a sequence of graduated fuel loadings of synthetic fuelbeds for each of the six fuel components. This report contains a set of photoload sequences that describe the range of fuel component loadings for common forest conditions in the northern Rocky Mountains of Montana, USA to estimate fuel loading in the field. A companion publication (RMRS-RP-61CD) details the methods used to create the photoload sequences and presents a comprehensive evaluation of the technique.
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.
Wildland fire managers need better estimates of fuel loading so they can accurately predict potential fire behavior and effects of alternative fuel and ecosystem restoration treatments. This report presents the development and evaluation of a new fuel sampling method, called the photoload sampling technique, to quickly and accurately estimate loadings for six common surface fuel components using downward looking and oblique photographs depicting a sequence of graduated fuel loadings of synthetic fuelbeds. This report details the methods used to construct the photoload sequences (series of photos depicting gradually increasing loadings) for the six fuel components. A companion paper (RMRS-GTR-190) presents the set of photoload sequences developed from this study for common fuelbed conditions found in the northern Rocky Mountains of Montana, USA, along with a detailed sampling protocol that can be used with these photoload picture series to estimate fuel component loadings in the field at various levels of effort and scale. An evaluation of the photoload sampling technique was conducted where 29 participants were asked to estimate loadings for the six fuel components on five sites using the photoload technique. These visual estimates were compared with actual measured loadings to obtain estimates of accuracy and precision. We found that photoload estimates consistently underestimated fuel loadings (average bias 0.182 kg m-2 or 0.8 tons acre-1) but the error of the estimate (0.018 kg m-2 or 0.08 tons acre-1) was within 10 to 50 percent of the mean depending on fuel component. We also found that accuracy and precision of the photoload estimates increased with increasing field experience and also with increasing fuel loadings.