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Coupling the Biophysical and Social Dimensions of Wildfire Risk to Improve Wildfire Mitigation Planning

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  • Alan A. Ager
  • Jeffrey D. Kline
  • A. Paige Fischer

Abstract

We describe recent advances in biophysical and social aspects of risk and their potential combined contribution to improve mitigation planning on fire‐prone landscapes. The methods and tools provide an improved method for defining the spatial extent of wildfire risk to communities compared to current planning processes. They also propose an expanded role for social science to improve understanding of community‐wide risk perceptions and to predict property owners’ capacities and willingness to mitigate risk by treating hazardous fuels and reducing the susceptibility of dwellings. In particular, we identify spatial scale mismatches in wildfire mitigation planning and their potential adverse impact on risk mitigation goals. Studies in other fire‐prone regions suggest that these scale mismatches are widespread and contribute to continued wildfire dwelling losses. We discuss how risk perceptions and behavior contribute to scale mismatches and how they can be minimized through integrated analyses of landscape wildfire transmission and social factors that describe the potential for collaboration among landowners and land management agencies. These concepts are then used to outline an integrated socioecological planning framework to identify optimal strategies for local community risk mitigation and improve landscape‐scale prioritization of fuel management investments by government entities.

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  • Alan A. Ager & Jeffrey D. Kline & A. Paige Fischer, 2015. "Coupling the Biophysical and Social Dimensions of Wildfire Risk to Improve Wildfire Mitigation Planning," Risk Analysis, John Wiley & Sons, vol. 35(8), pages 1393-1406, August.
  • Handle: RePEc:wly:riskan:v:35:y:2015:i:8:p:1393-1406
    DOI: 10.1111/risa.12373
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    1. Kline, Jeffrey D. & Houston, Laurie L. & Gray, Andrew N. & Monleon, Vicente, 2021. "Evaluating empirical evidence for housing development effects on the management of remaining private-owned forest in the U.S," Forest Policy and Economics, Elsevier, vol. 124(C).
    2. Jaime de Diego & Antonio Rúa & Mercedes Fernández, 2021. "Vulnerability Variables and Their Effect on Wildfires in Galicia (Spain). A Panel Data Analysis," Land, MDPI, vol. 10(10), pages 1-17, September.
    3. Alex W. Dye & John B. Kim & Andrew McEvoy & Fang Fang & Karin L. Riley, 2021. "Evaluating rural Pacific Northwest towns for wildfire evacuation vulnerability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 911-935, May.
    4. Margherita Carlucci & Ilaria Zambon & Andrea Colantoni & Luca Salvati, 2019. "Socioeconomic Development, Demographic Dynamics and Forest Fires in Italy, 1961–2017: A Time-Series Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    5. Sandhya Nepal & Lars Y. Pomara & Nicholas P. Gould & Danny C. Lee, 2023. "Wildfire Risk Assessment for Strategic Forest Management in the Southern United States: A Bayesian Network Modeling Approach," Land, MDPI, vol. 12(12), pages 1-25, December.
    6. Antony S. Cheng & Lisa Dale, 2020. "Achieving Adaptive Governance of Forest Wildfire Risk Using Competitive Grants: Insights From the Colorado Wildfire Risk Reduction Grant Program," Review of Policy Research, Policy Studies Organization, vol. 37(5), pages 657-686, September.
    7. Alan A. Ager & Palaiologos Palaiologou & Cody R. Evers & Michelle A. Day & Ana M. G. Barros, 2018. "Assessing Transboundary Wildfire Exposure in the Southwestern United States," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2105-2127, October.

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