Strategic Wildfire Response Decision Support and the Risk Management Assistance Program

In 2016, the USDA Forest Service, the largest wildfire management organization in the world, initiated the risk management assistance (RMA) program to improve the quality of strategic decision-making on its largest and most complex wildfire events. RMA was designed to facilitate a more formal risk management process, including the use of the best available science and emerging research tools, evaluation of alternative strategies, consideration of the likelihood of achieving objectives, and analysis of tradeoffs across a diverse range of incident objectives. RMA engaged personnel from a range of disciplines within the wildfire management system to co-produce actionable science that met the needs of the highly complex incident decision-making environment while aiming to align with best practices in risk assessment, structured decision-making, and technology transfer. Over the four years that RMA has been in practice, the content, structure, and method of information delivery have evolved. Furthermore, the RMA program’s application domain has expanded from merely large incident support to incorporate pre-event assessment and training, post-fire review, organizational change, and system improvement. In this article, we describe the history of the RMA program to date, provide some details and references to the tools delivered, and provide several illustrative examples of RMA in action. We conclude with a discussion of past and ongoing program adaptations and of how this can inform ongoing change efforts and offer thoughts on future directions.

[1]  David L. Martell,et al.  A Review of Recent Forest and Wildland Fire Management Decision Support Systems Research , 2015, Current Forestry Reports.

[2]  D. Calkin,et al.  Resilient landscapes to prevent catastrophic forest fires: Socioeconomic insights towards a new paradigm , 2021, Forest Policy and Economics.

[3]  Matthew P. Thompson,et al.  A review of challenges to determining and demonstrating efficiency of large fire management , 2017 .

[4]  Lynn A Maguire,et al.  Managing Wildfire Events: Risk‐Based Decision Making Among a Group of Federal Fire Managers , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  Matthew P. Thompson,et al.  Corrigendum to: Modelling suppression difficulty: current and future applications , 2020 .

[6]  P. Hessburg,et al.  Dry forests and wildland fires of the inland Northwest USA: Contrasting the landscape ecology of the pre-settlement and modern eras , 2005 .

[7]  Matthew P. Thompson,et al.  Towards enhanced risk management: Planning, decision making and monitoring of US wildfire response , 2017 .

[8]  J. Agee,et al.  Reform forest fire management , 2015, Science.

[9]  M. Finney The wildland fire system and challenges for engineering , 2020 .

[10]  Jay D. Miller,et al.  Quantitative Evidence for Increasing Forest Fire Severity in the Sierra Nevada and Southern Cascade Mountains, California and Nevada, USA , 2009, Ecosystems.

[11]  A. P. Williams,et al.  Impact of anthropogenic climate change on wildfire across western US forests , 2016, Proceedings of the National Academy of Sciences.

[12]  Joaquín Ramírez,et al.  Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction , 2019, Ecological Modelling.

[13]  Courtney A. Schultz,et al.  Pre-season fire management planning: the use of Potential Operational Delineations to prepare for wildland fire events , 2020 .

[14]  Matthew P. Thompson,et al.  An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management , 2017 .

[15]  G. Klein,et al.  A recognition-primed decision (RPD) model of rapid decision making. , 1993 .

[16]  Matthew P. Thompson,et al.  Progress towards and barriers to implementation of a risk framework for US federal wildland fire policy and decision making , 2011 .

[17]  José G. Borges,et al.  Cohesive fire management within an uncertain environment: A review of risk handling and decision support systems , 2015 .

[18]  D. Kahneman,et al.  Conditions for intuitive expertise: a failure to disagree. , 2009, The American psychologist.

[19]  Ania Cravero,et al.  Decision Support System Development of Wildland Fire: A Systematic Mapping , 2021, Forests.

[20]  Matthew P. Thompson,et al.  Uncertainty and risk in wildland fire management: a review. , 2011, Journal of environmental management.

[21]  Dave Calkin,et al.  Wildfires: Systemic changes required. , 2015, Science.

[22]  Matthew P. Thompson,et al.  Prototyping a Geospatial Atlas for Wildfire Planning and Management , 2020, Forests.

[23]  Matthew P. Thompson Social, Institutional, and Psychological Factors Affecting Wildfire Incident Decision Making , 2014 .

[24]  Matthew P. Thompson,et al.  Is This Flight Necessary? The Aviation Use Summary (AUS): A Framework for Strategic, Risk-Informed Aviation Decision Support , 2021, Forests.

[25]  Matthew P. Thompson,et al.  Getting Ahead of the Wildfire Problem: Quantifying and Mapping Management Challenges and Opportunities , 2016 .

[26]  Matthew P. Thompson,et al.  Negative consequences of positive feedbacks in US wildfire management , 2015, Forest Ecosystems.

[27]  N. Romano,et al.  Wild forest fire regime following land abandonment in the Mediterranean region , 2014 .

[28]  Frank A. Drews,et al.  Information Search and Decision Making in Computer-Based Wildfire Simulations , 2015 .

[29]  Isaac C. Grenfell,et al.  TreeMap, a tree-level model of conterminous US forests circa 2014 produced by imputation of FIA plot data , 2021, Scientific Data.

[30]  Eric Toman,et al.  Wildfire decision support tools: an exploratory study of use in the United States , 2020 .

[31]  Melanie Colavito,et al.  The Human Dimensions of Spatial, Pre-Wildfire Planning Decision Support Systems: A Review of Barriers, Facilitators, and Recommendations , 2021, Forests.

[32]  Matthew P. Thompson,et al.  Rethinking the Wildland Fire Management System , 2018, Journal of Forestry.

[33]  Geoffrey H. Donovan,et al.  The Effect of Newspaper Coverage and Political Pressure on Wildfire Suppression Costs , 2011 .

[34]  Yu Wei,et al.  Risk Management and Analytics in Wildfire Response , 2019, Current Forestry Reports.

[35]  Alexandra D. Syphard,et al.  Rapid growth of the US wildland-urban interface raises wildfire risk , 2018, Proceedings of the National Academy of Sciences.

[36]  A. Gill,et al.  Learning to coexist with wildfire , 2014, Nature.

[37]  Molly E. Hunter,et al.  The Use of Science in Wildland Fire Management: a Review of Barriers and Facilitators , 2020, Current Forestry Reports.

[38]  Erin K. Noonan-Wright,et al.  Patterns of wildfire risk in the United States from systematic operational risk assessments: how risk is characterised by land managers , 2021 .

[39]  Sarah McCaffrey,et al.  Defining Extreme Wildfire Events: Difficulties, Challenges, and Impacts , 2018 .

[40]  Grant J. Williamson,et al.  Climate-induced variations in global wildfire danger from 1979 to 2013 , 2015, Nature Communications.

[41]  Courtney A. Schultz,et al.  Working on institutions while planning for forest resilience: a case study of public land management in the United States , 2020 .

[42]  David E. Calkin,et al.  Engaging the fire before it starts: A case study from the 2017 Pinal Fire (Arizona) , 2019 .

[43]  Travis B. Paveglio,et al.  Exploring Adoption of the Wildland Fire Decision Support System: End User Perspectives , 2020 .

[44]  Matthew P. Thompson,et al.  Recent advances in applying decision science to managing national forests , 2012 .

[45]  Courtney A. Schultz,et al.  A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making , 2021, Forests.

[46]  Matthew P. Thompson,et al.  Spatial and temporal assessment of responder exposure to snag hazards in post-fire environments , 2019, Forest Ecology and Management.

[47]  Garry D. Peterson,et al.  Principles for knowledge co-production in sustainability research , 2020, Nature Sustainability.

[48]  Susan L. Ustin,et al.  eDaRT: The Ecosystem Disturbance and Recovery Tracker system for monitoring landscape disturbances and their cumulative effects , 2020 .

[49]  Matthew P. Thompson,et al.  Risk Preferences, Probability Weighting, and Strategy Tradeoffs in Wildfire Management , 2015, Risk analysis : an official publication of the Society for Risk Analysis.