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Decision calendars. Fire managers at the regional and forest level in California, Arizona, and New Mexico were surveyed in order to gather information on the timing of key fire management decisions. The year-long decision calendar produced from this project will be used to assess when and how to efficiently convey climate information to fire managers.
Partnerships. A literature review was conducted to identify ways in which other entities have defined partnerships. A telephone survey was conducted of CANSAC members to determine the extent to which key elements of a successful partnership had been instituted within CANSAC.
WALTER. Data were collected from a wide range of sources and transformed into GIS databases and map layers. Field research was conducted to ground-truth remotely sensed data on fuel moisture levels. A survey was conducted to ascertain the perceptions of local residents in the four study areas regarding fire risk in their area. These data were digitized into one of the layers of the model. Techniques based on Analytic Hierarchy Process (AHP) were incorporated to enable users to weight the GIS layers themselves as part of the process of producing maps of fire risk. (The AHP is a powerful and flexible decision-making process to help people set priorities and make the best decision when both qualitative and quantitative aspects of a decision need to be considered. By reducing complex decisions to a series of one-on-one comparisons, then synthesizing the results, AHP not only helps decision makers arrive at the best decision, but also provides a clear rationale that it is the best.) User input was solicited throughout the project and formal user evaluations of the GIS decision support tool, Fire-Climate-Society Version 1 (FCS-1), were conducted once the model was completed. Comments, information, and recommendations from stakeholder participants were incorporated into the design process. A web site was built to provide an array of related wildland fire information and to provide Web access to the FCS-1 model itself.