2021
DOI: 10.3390/f12030344
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A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making

Abstract: To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RMA to improve wildfire decision-making and implements these tools in complex organizational environments. We assessed the perceived value of RMA and factors that affected its use to inform the literature on decision support for fire management. We sought to answer t… Show more

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Cited by 18 publications
(14 citation statements)
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“…A recent study on the use of technology tools to improve decision-making in wildfires at the U.S. Forest Service increased the ability of line officers to communicate their decisions more clearly and transparently to their colleagues and partners [34]. The system analyzed was Risk Management Assistance (RMA).…”
Section: Background 21 Decision Support Systems and Wildland Firesmentioning
confidence: 99%
“…A recent study on the use of technology tools to improve decision-making in wildfires at the U.S. Forest Service increased the ability of line officers to communicate their decisions more clearly and transparently to their colleagues and partners [34]. The system analyzed was Risk Management Assistance (RMA).…”
Section: Background 21 Decision Support Systems and Wildland Firesmentioning
confidence: 99%
“…Over the past several years, the USFS has recognized and embraced risk management with its attendant emphases on leveraging best available information, addressing uncertainty and risk within decision-making processes, and measuring and enhancing performance. Risk management considers the inherent uncertainty within the complex wildfire management system while exploring multiple options, weighing trade-offs, and documenting reasons for selecting specific courses of action [32][33][34][35][36]. The Agency's Risk Management Assistance (RMA) efforts demonstrate this commitment [35,37] (https: //wfmrda.nwcg.gov/rma (accessed on 21 May 2021)), as multiple national leaders, Agency Administrators (AAs), scientists, risk experts, fire behavior specialists, and analysts have committed to developing and demonstrating methods for improved strategic decision and risk management in wildfire preparedness and response [38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…Risk management considers the inherent uncertainty within the complex wildfire management system while exploring multiple options, weighing trade-offs, and documenting reasons for selecting specific courses of action [32][33][34][35][36]. The Agency's Risk Management Assistance (RMA) efforts demonstrate this commitment [35,37] (https: //wfmrda.nwcg.gov/rma (accessed on 21 May 2021)), as multiple national leaders, Agency Administrators (AAs), scientists, risk experts, fire behavior specialists, and analysts have committed to developing and demonstrating methods for improved strategic decision and risk management in wildfire preparedness and response [38][39][40]. RMA analytics and products provide AAs and Incident Commanders (ICs) with a broader toolset for objective comparison of the relative tradeoffs of alternative response strategies, including firefighter exposure, risk to highly valued resources and assets, and opportunities for beneficial fire [32,40,41].…”
Section: Introductionmentioning
confidence: 99%
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“…The increasing complexity and uncertainty of the socio-ecological fire environment are driven by multiple factors, including climate change [4,5], changing patterns of human settlement (e.g., housing expansion in the United States [6,7], rural abandonment in Mediterranean Europe [8,9]), and increased fuel loading due to a history of suppression [10][11][12]. Within the United States, there is growing recognition that systemic changes in how the wildland fire system plans for and manages fires are necessary to alter risk trajectories [2,3,[13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%