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1. Developing Behavioral and Evidence-Based Programs for Wildfire Risk Mitigation

   https://doi.org/10.3390/fire3040066  

   Byerly, Hilary; Meldrum, James R.; Brenkert-Smith, Hannah; Champ, Patricia; Gomez, Jamie; Falk, Lilia; Barth, Chris (December 2020, Fire)

   null (Ed.)

   The actions of residents in the wildland–urban interface can influence the private and social costs of wildfire. Wildfire programs that encourage residents to take action are often delivered without evidence of effects on behavior. Research from the field of behavioral science shows that simple, often low-cost changes to program design and delivery can influence socially desirable behaviors. In this research report, we highlight how behavioral science and experimental design may advance efforts to increase wildfire risk mitigation on private property. We offer an example in which we tested changes in outreach messaging on property owners’ interest in wildfire risk information. In partnership with a regional wildfire organization, we mailed 4564 letters directing property owners to visit personalized wildfire risk webpages. By tracking visitation, we observed that 590 letter recipients (12%) sought information about their wildfire risk and response varied by community. This research–practice collaboration has three benefits: innovation in outreach, evidence of innovation through experimental design, and real impacts on interest in wildfire mitigation among property owners. Future collaborations may inform behavioral and evidence-based programs to better serve residents and the public interest as the risks from wildfires are projected to grow. 

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2. Water utility engagement in wildfire mitigation in watersheds in the western United States

   https://doi.org/10.1016/j.jenvman.2023.119157  

   Jones, Kelly W; Padowski, Julie; Morgan, Melinda; Srinivasan, Jaishri (September 2023, Journal of Environmental Management)

   Scaling up climate-adaptation in wildfire-prone watersheds requires innovative partnerships and funding. Water utilities are one stakeholder group that could play a role in these efforts. The overarching purpose of this study was to understand water utility engagement in wildfire mitigation efforts in the western United States. We conducted an online survey of water utilities in nine states and received 173 useable responses. While most (68%) respondents were concerned or very concerned about future wildfire events and the impact of wildfire on their operations, only 39% perceived their organization as responsible for mitigating wildfire risk. Federal land ownership decreased feeling responsible for wildfire mitigation, while concern for and information on wildfire increased feeling responsible for mitigation. The perception of response efficacy of mitigation actions for the 68 water utilities engaged in wildfire risk mitigation activities was very high, with most agreeing that mitigation actions are effective. Self-efficacy to implement mitigation actions, however, was mixed, with most utilities wanting more information on wildfire risk and impacts to watershed services. The most reported wildfire mitigation actions were forest thinning and stream restoration. Water utilities engaging in these actions typically partnered with government agencies or other water utilities to complete the work and funded these activities through water user fees and grants. Our findings suggest that water utility engagement in wildfire mitigation for water security could be increased through providing more assessments of wildfire risk to water utilities and through more outreach and engagement with water utilities operating on federal lands. 

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3. Mapping the wildland-urban interface in California using remote sensing data

   https://doi.org/10.1038/s41598-022-09707-7  

   Li, Shu; Dao, Vu; Kumar, Mukesh; Nguyen, Phu; Banerjee, Tirtha (December 2022, Scientific Reports)

   Abstract Due to the mixed distribution of buildings and vegetation, wildland-urban interface (WUI) areas are characterized by complex fuel distributions and geographical environments. The behavior of wildfires occurring in the WUI often leads to severe hazards and significant damage to man-made structures. Therefore, WUI areas warrant more attention during the wildfire season. Due to the ever-changing dynamic nature of California’s population and housing, the update frequency and resolution of WUI maps that are currently used can no longer meet the needs and challenges of wildfire management and resource allocation for suppression and mitigation efforts. Recent developments in remote sensing technology and data analysis algorithms pose new opportunities for improving WUI mapping methods. WUI areas in California were directly mapped using building footprints extracted from remote sensing data by Microsoft along with the fuel vegetation cover from the LANDFIRE dataset in this study. To accommodate the new type of datasets, we developed a threshold criteria for mapping WUI based on statistical analysis, as opposed to using more ad-hoc criteria as used in previous mapping approaches. This method removes the reliance on census data in WUI mapping, and does not require the calculation of housing density. Moreover, this approach designates the adjacent areas of each building with large and dense parcels of vegetation as WUI, which can not only refine the scope and resolution of the WUI areas to individual buildings, but also avoids zoning issues and uncertainties in housing density calculation. Besides, the new method has the capability of updating the WUI map in real-time according to the operational needs. Therefore, this method is suitable for local governments to map local WUI areas, as well as formulating detailed wildfire emergency plans, evacuation routes, and management measures. 

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4. What Makes Homeowners Consider Protective Actions to Reduce Disaster Risk? An Application of the Precaution Adoption Process Model and Life Course Theory

   https://doi.org/10.1007/s13753-021-00350-w  

   Stock, Alexia; Davidson, Rachel A.; Trainor, Joseph E.; Slotter, Rachel; Nozick, Linda K.; Kruse, Jamie B. (June 2021, International Journal of Disaster Risk Science)

   null (Ed.)

   Abstract We hypothesize that for disaster risk mitigation, many households, despite being aware of their risk and possible mitigation actions, never seriously consider doing anything about them. In mitigation-focused decisions, since there is no equivalent to warning messages, the decision process is likely to evolve over an extended time. We explore what activates hurricane mitigation protective action decisions through three research questions: (1) to what extent are homeowners unengaged in protective action decision making? (2) What homeowner characteristics are associated with lack of engagement? And (3) to what extent do different life events trigger engagement in the decision-making process? We use the Precaution Adoption Process Model to conceptualize engagement as distinct from decision making; the broader protective action decision-making literature to explore drivers of engagement; and Life Course Theory to examine potential transitions from unengaged to engaged. We use survey data of homeowners in North Carolina to examine these questions empirically. Findings suggest that one-third of respondents had never engaged in protective action decisions, that life experiences differ in their occurrence frequency and effect on households’ mitigation decisions, and that some events, such as renovating, reroofing, or purchasing a home may offer critical moments that could be leveraged to encourage greater engagement in mitigation decision making. 

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5. Risk interdependency, social norms, and wildfire mitigation: a choice experiment

   https://doi.org/10.1007/s11069-020-04037-1  

   Dickinson, Katherine L.; Brenkert-Smith, Hannah; Madonia, Greg; Flores, Nicholas E. (June 2020, Natural Hazards)

   Wildfire presents a growing threat across the American West. We conducted an online choice experiment in Western Colorado to assess how social interactions affect wildfire mitigation decisions through two distinct pathways: risk interdependency (neighbors’ conditions affect perceived wildfire risk) and social norms (neighbors’ actions affect perceptions of appropriate mitigation choices). In contrast to key observational studies, we find that participants are less likely to choose to mitigate when they have more neighbors with sparse vegetation. This effect operates through the risk interdependency pathway: sparse vegetation on neighboring properties lowers participants’ wildfire risk perceptions and appears to be viewed as a substitute for one’s own mitigation actions. In this context, where neighbors are nameless and faceless, social norms do not counteract this negative effect. To reconcile this experimental result with observational studies, we discuss how both risk interdependency and social norms are influenced by geographical and social contexts and highlight how these insights can inform future research and policy action. 

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