Managing Wildfire Events: Risk‐Based Decision Making Among a Group of Federal Fire Managers
Open accessAbstract
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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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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Negative consequences of positive feedbacks in US wildfire management
Calkin, D. E., Thompson, M. P., & Finney, M. A. (2015) · Forest Ecosystems · doi:10.1186/s40663-015-0033-8 · Cited by 323 · see citing works
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<scp>U.S.</scp> federal fire and forest policy: emphasizing resilience in dry forests
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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
- green
- hdl.handle.net
- Licence
- 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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