A new decision support tool, the Wildland Fire Decision Support System (WFDSS) has been developed to support risk-informed decision-making for individual fires in the United States. WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply information to the decision making process. Risk-informed decision-making is becoming increasingly important as a means of improving fire management and offers substantial opportunities to benefit natural and community resource protection, management response effectiveness, firefighter resource use and exposure, and, possibly, suppression costs. This paper reviews the development, structure, and function of WFDSS, and how it contributes to increased flexibility and agility in decision making, leading to improved fire management program effectiveness.

a b s t r a c t LANDFIRE is the working name given to the Landscape Fire and Resource Management Planning Tools Project (http://www.landfire.gov). The project was initiated in response to mega-fires and the need for managers to have consistent, wall-to-wall (i.e., all wildlands regardless of agency/ownership), geospatial data, on vegetation, fuels, and terrain to support use of fire behavior and effects prediction systems in guiding policy and management decisions. Base layers were created in a 5-year program of research and development ending in 2009, with processes in place to periodically update fuel and vegetation layers in response to anthropogenic and natural disturbances. LANDFIRE has been institutionalized as the primary data source for modeling activities aimed at meeting the goals of the United States' National Cohesive Wildland Fire Management Strategy, and the data are available on-line to any user for conducting landscape analyses. Data access and use are high and expected to grow with the increasing scope and complexity of wildland fire management, thus requiring continued LANDFIRE improvements and updates.Published by Elsevier B.V.0378-1127/$ -see front matter Published by Elsevier B.V. http://dx.

You may order additional copies of this publication by sending your mailing information in label form through one of the following media. Please specify the publication title and series number. Fort Collins Service Center AbstractEach decision to suppress fire reinforces a feedback cycle in which fuels continue to accumulate, risk escalates, and the tendency to suppress fires grows (Miller and others, 2003). Existing decision-support tools focus primarily on the negative consequences of fire. This guide outlines a framework managers can use to (1) identify key areas of fire risk and (2) systematically determine where and under what fire weather conditions fire will benefit ecological conditions and management targets while reducing fuels. The Fire Effects Planning Framework (FEPF) sequentially links state-of-the-art, publicly available analysis tools, data, and knowledge to generate GIS-based planning information for a variety of scales. Primary funding for this effort was provided by the Joint Fire Science Program and the National Fire Plan.

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