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The relative behavior of surface-crown fire spread rate modeling systems used in three fire management applications-CFIS (Crown Fire Initiation and Spread), FlamMap and NEXUS- is compared using fire environment characteristics derived from a dataset of destructively measured canopy fuel and associated stand characteristics. Although the surface-crown modeling systems predict the same basic fire behavior characteristics (type of fire, spread rate) using the same basic fire environment characteristics, their results differ considerably. Across the range of inputs used in these comparisons, CFIS predicted the highest incidence of crown fire and the highest resulting spread rates, whereas FlamMap predicted the lowest crown fire incidence and lowest spread rates. NEXUS predictions fell between those two systems.
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.
This textbook provides students and academics with a conceptual understanding of fire behavior and fire effects on people and ecosystems to support effective integrated fire management. Through case studies, interactive spreadsheets programmed with equations and graphics, and clear explanations, the book provides undergraduate, graduate, and professional readers with a straightforward learning path. The authors draw from years of experience in successfully teaching fundamental concepts and applications, synthesizing cutting-edge science, and applying lessons learned from fire practitioners. We discuss fire as part of environmental and human health. Our process-based, comprehensive, and quantitative approach encompasses combustion and heat transfer, and fire effects on people, plants, soils, and animals in forest, grassland, and woodland ecosystems from around the Earth. Case studies and examples link fundamental concepts to local, landscape, and global fire implications, including social-ecological systems. Globally, fire science and integrated fire management have made major strides in the last few decades. Society faces numerous fire-related challenges, including the increasing occurrence of large fires that threaten people and property, smoke that poses a health hazard, and lengthening fire seasons worldwide. Fires are useful to suppress fires, conserve wildlife and habitat, enhance livestock grazing, manage fuels, and in ecological restoration. Understanding fire science is critical to forecasting the implication of global change for fires and their effects. Increasing the positive effects of fire (fuels reduction, enhanced habitat for many plants and animals, ecosystem services increased) while reducing the negative impacts of fires (loss of human lives, smoke and carbon emissions that threaten health, etc.) is part of making fires good servants rather than bad masters.
With the advent of LANDFIRE fuels layers, an increasing number of specialists are using the data in a variety of fire modeling systems. However, a comprehensive guide on acquiring, critiquing, and editing (ACE) geospatial fuels data does not exist. This paper provides guidance on ACE as well as on assembling a geospatial fuels team, model calibration, and maintaining geospatial data and documentation. The LANDFIRE Data Access Tool (LFDAT), an ArcMap extension, and the Wildland Fire Decision Support System (WFDSS) are the primary tools outlined in this guide to obtain the Fire Area Simulator (FARSITE) landscape file (LCP) for geospatial fuels application. Other useful geographic information system (GIS) data acquisition websites and layers for geospatial fire analysis are also provided. Critiquing the data consists of (1) a tabular critique of the inputs using LCP Critique and (2) a geospatial critique of the inputs and outputs using FlamMap and ArcMap. Detailed information is provided on many of the layers that constitute the LCP (fuel model, canopy cover, stand height, crown base height, crown bulk density). Inputs are spatially critiqued using FlamMap and ArcMap in combination with the existing vegetation type layer. Outputs critiqued include flame length, rate of spread, fireline intensity, crown fire activity, and fire growth. Compare-Models-Four and Minimum Travel Time (MTT) are discussed, the WFDSS landscape editor is demonstrated as a tool to edit and update an LCP and a section on model calibration using FARSITE and MTT is included. The paper concludes with direction and discussion on data maintenance, documentation, and complexities of a national fuels dataset for field application.