Cited by 89Decision-Making and Behavioral EconomicsLeadership, Behavior, and Decision-Making StudiesDisaster Management and Resilience

Managing Wildfire Events: Risk‐Based Decision Making Among a Group of Federal Fire Managers

Open access
Wilson, Robyn S., Winter, Patricia L., Maguire, Lynn A., Ascher, Timothy·2011·Risk Analysis

Abstract

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.

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Registry

Crossref · 10.1111/j.1539-6924.2010.01534.x

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3 of 3 references verified0 citation errors · 0 not checkable

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  • Fire managers have displayed the discounting bias, the status quo bias, and the loss aversion bias.

    “When selecting strategies, fire managers have displayed the discounting bias (overemphasizing short-term risk reduction over longer-term considerations), the status quo bias (reverting to suppressing all fires relative to allowing fires to burn for ecological considerations), and the loss aversion bias (preferring safe options when consequences are framed as potential gains) (Wilson et al. 2011).”

    From Negative consequences of positive feedbacks in US wildfire management (2015) · cites this paper as Wilson et al. 2011

  • Managers are subject to a status quo bias that makes them reluctant to select beneficial use strategies when full suppression has been previously established.

    “managers are subject to a status quo bias that makes them reluctant to select beneficial use strategies when full suppression has been previously established (Wilson et al. 2011).”

    From Negative consequences of positive feedbacks in US wildfire management (2015) · cites this paper as Wilson et al. 2011

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Authors
Wilson, R. S., Winter, P. L., Maguire, L. A., & Ascher, T.
Affiliations
  • The Ohio State University (US)
  • US Forest Service (US)
  • Duke University (US)
Corresponding author
Wilson, Robyn S.
Venue
Risk Analysis
Publisher
Wiley
Published
2010-12-08
Volume
31
Issue
5
Pages
805-818
ISSN
  • 0272-4332 (ISSN-L)
  • 1539-6924
OpenAlex
W2165220216
Cited by
89
References
3
Citations by year
2026: 7 · 2025: 4 · 2024: 6 · 2023: 2 · 2022: 8 · 2021: 6 · 2020: 5 · 2019: 6 · 2018: 7 · 2017: 8 · 2016: 9 · 2015: 4 · 2014: 5 · 2013: 4 · 2012: 6
FWCI
2.68
Type
journal article
Language
en
Open access
Locations
  • Risk Analysis (publishedVersion)
  • PubMed (publishedVersion)
  • DukeSpace (Duke University) (submittedVersion, cc-by-nc-nd)
Funders
U.S. Department of Agriculture
Topics
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Leadership, Behavior, and Decision-Making Studies
  • Social Sciences › Sociology and Political Science › Disaster Management and Resilience
Keywords
wildfire management, risk-based decision making, cognitive biases, loss aversion, discounting, status quo bias, heuristics, risk aversion, experience, forest fire suppression, incident command, USDA Forest Service, decision uncertainty, risk seeking
MeSH terms
Decision Making, Fires, Humans, United States, Risk Assessment, Federal Government

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