Managing wildfire events: risk-based decision making among a group of federal fire managers.
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Managing wildfire events to achieve multiple management objectives involves a high degree of decision complexity and uncertainty, increasing the likelihood that decisions will be informed by experience-based heuristics triggered by available cues at the time of the decision. The research reported here tests the prevalence of three risk-based biases among 206 individuals in the USDA Forest Service with authority to choose how to manage a wildfire event (i.e., line officers and incident command personnel). The results indicate that the subjects exhibited loss aversion, choosing the safe option more often when the consequences of the choice were framed as potential gains, but this tendency was less pronounced among those with risk seeking attitudes. The subjects also exhibited discounting, choosing to minimize short-term over long-term risk due to a belief that future risk could be controlled, but this tendency was less pronounced among those with more experience. Finally, the subjects, in particular those with more experience, demonstrated a status quo bias, choosing suppression more often when their reported status quo was suppression. The results of this study point to a need to carefully construct the decision process to ensure that the uncertainty and conflicting objectives inherent in wildfire management do not result in the overuse of common heuristics. Individual attitudes toward risk or an agency culture of risk aversion may counterbalance such heuristics, whereas increased experience may lead to overconfident intuitive judgments and a failure to incorporate new and relevant information into the decision.
Published Version (Please cite this version)10.1111/j.1539-6924.2010.01534.x
Publication InfoAscher, T; Maguire, Lynn A; Wilson, RS; & Winter, PL (2011). Managing wildfire events: risk-based decision making among a group of federal fire managers. Risk Anal, 31(5). pp. 805-818. 10.1111/j.1539-6924.2010.01534.x. Retrieved from http://hdl.handle.net/10161/15180.
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Professor of the Practice Emeritus
Dr. Maguire's current research uses a combination of methods from decision analysis, environmental conflict resolution and social psychology to study environmental decision making. She focuses on collaborative decision processes where values important to the general public and stakeholders must be combined with technical analysis to determine management strategies. Her recent applications of decision analysis include the management of rare species, invasive species, and wildfire risk. Dr. Maguir