Fueling Fire-Adapted Communities Through a Rapid Wildfire Structure Risk Assessment

Jennifer I. Schmidt , Robert H. Ziel , Monika P. Calef , Anna Varvak , Julio C. Postigo

International Journal of Disaster Risk Science ›› 2026, Vol. 17 ›› Issue (2) : 351 -362.

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International Journal of Disaster Risk Science ›› 2026, Vol. 17 ›› Issue (2) :351 -362. DOI: 10.1007/s13753-026-00716-y
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Fueling Fire-Adapted Communities Through a Rapid Wildfire Structure Risk Assessment
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Abstract

While wildfires can be beneficial and part of a natural process, there have been numerous instances around the world, particularly in recent years, where wildfires have had devastating consequences for society. Weather conditions have created extreme wildfire behavior, resulting in speeds and intensities that can overpower suppression resources. It is ever more critical that communities and agencies take actions to mitigate and prevent wildfire disasters. We have developed a tool that enables wildfire practitioners to assess the risk of wildfire to structures in a straightforward, rapid, and affordable manner. The approach leverages information often collected by communities (for example, building footprints, zoning) and available vegetation datasets. In conjunction with local wildfire management regulations, our project also used wildfire exposure to help identify wildland-urban interface (WUI) boundaries. We used this approach on three communities in the Arctic (Anchorage and Fairbanks, Alaska, and Whitehorse, Yukon) to assess wildfire risk. We determined that there is considerable wildfire risk in urban Arctic communities, with a greater percentage of structures at high or very high risk in Fairbanks (26%) and Whitehorse (22%) compared to Anchorage (14%). Combining local wildfire management practices with wildfire exposure is a successful way to identify meaningful WUI boundaries, which are essential for obtaining mitigation funds and planning. The key to producing updatable wildfire risk and vulnerability maps is accurate, up-to-date information on vegetation, building footprints, and zoning. With this information and the tool outlined here, communities and agencies have a way to inform community wildfire protection plans and identify impactful mitigation actions.

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Arctic / Wildfire / Risk assessment / WUI / Mitigation planning / Structures

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Jennifer I. Schmidt, Robert H. Ziel, Monika P. Calef, Anna Varvak, Julio C. Postigo. Fueling Fire-Adapted Communities Through a Rapid Wildfire Structure Risk Assessment. International Journal of Disaster Risk Science, 2026, 17(2): 351-362 DOI:10.1007/s13753-026-00716-y

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References

[1]

Abatzoglou, J.T., D.S. Battisti, A.P. Williams, W.D. Hansen, B.J. Harvey, and C.A. Kolden. 2021. Projected increases in western US forest fire despite growing fuel constraints. Communications Earth & Environment 2(1): Article 227.

[2]

AICC (Alaska Interagency Coordination Center). 2019. Fire season weather summary 2019. Fort Wainwright, AK: AICC.

[3]

AICC (Alaska Interagency Coordination Center). 2023. Fire history in Alaska (GIS data). Fort Wainwright, AK: AICC. https://fire.ak.blm.gov/predsvcs/maps.php. Accessed 26 Mar 2026.

[4]

AKDOF (Alaska Division of Forestry and Fire Protection). 2019. Increase in fire activity prompts Level 1 evacuation alert for Shovel Creek Fire. Fairbanks, AK: AKDOF. https://akfireinfo.com/2019/06/25/increase-in-fire-activity-prompts-level-1-evacuation-alert-for-shovel-creek-fire/. Accessed 26 Mar 2026.

[5]

AKDOF (Alaska Division of Forestry and Fire Protection). 2024. Fire management plans. Fairbanks, AK: AKDOF. https://forestry.alaska.gov/fire/fireplans. Accessed 26 Mar 2026.

[6]

Alexandre PM, Stewart SI, Keuler NS, Clayton MK, Mockrin MH, Bar-Massada A, Syphard AD, Radeloff VC. Factors related to building loss due to wildfires in the conterminous United States. Ecological Applications, 2016, 26(7): 2323-2338

[7]

Alexandre PM, Stewart SI, Mockrin MH, Keuler NS, Syphard AD, Bar-Massada A, Clayton MK, Radeloff VC. The relative impacts of vegetation, topography and spatial arrangement on building loss to wildfires in case studies of California and Colorado. Landscape Ecology, 2016, 31(2): 415-430

[8]

Archibald S, Staver AC, Levin SA. Evolution of human-driven fire regimes in Africa. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(3): 847-852

[9]

Balch JK, Iglesias V, Mahood AL, Cook MC, Amaral C, Decastro A, Leyk S, McIntosh TL, et al. . The fastest-growing and most destructive fires in the US (2001 to 2020). Science, 2024, 386(6720): 425-431

[10]

Barlow J, Berenguer E, Carmenta R, Franca F. Clarifying Amazonia’s burning crisis. Global Change Biology, 2020, 26(2): 319-321

[11]

Baylis P, Boomhower J. The economic incidence of wildfire suppression in the United States. American Economic Journal-Applied Economics, 2023, 15(1): 442-473

[12]

Beck HE, McVicar TR, Vergopolan N, Berg A, Lutsko NJ, Dufour A, Zeng Z, Jiang X, et al. . High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections. Scientific Data, 2023, 10(1): 724

[13]

Bénichou, N., M. Adelzadeh, J. Singh, I. Gomaa, N. Elsagan, M. Kinateder, C. Ma, A. Gaur, et al. 2021. National guide for wildland-urban-interface fires: Guidance on hazard and exposure assessment, property protection, community resilience and emergency planning to minimize the impact of wildland-urban interface fires. Ottawa, ON: National Research Council Canada.

[14]

Beverly JL. Wildfire exposure assessment, 2018, Edmonton, AB. University of Alberta, Alberta Wildfire Management Branch, FireSmart Canada

[15]

Beverly JL, McLoughlin N. Burn probability simulation, and subsequent wildland fire activity in Alberta, Canada – Implications, for risk assessment and strategic planning. Forest Ecology and Management, 2019, 451: 117490

[16]

Beverly JL, Bothwell P, Conner JCR, Herd EPK. Assessing the exposure of the built environment to potential ignition sources generated from vegetative fuel. International Journal of Wildland Fire, 2010, 19(3): 299-313

[17]

Beverly JL, McLoughlin N, Chapman E. A simple metric of landscape fire exposure. Landscape Ecology, 2021, 36: 785-801

[18]

Bhatt US, Lader RT, Walsh JE, Bieniek PA, Thoman R, Berman M, Borries-Strigle C, Bulock K, et al. . Emerging anthropogenic influences on the southcentral Alaska temperature and precipitation extremes and related fires in 2019. Land, 2021, 10(1): 82

[19]

Buechi H, Weber P, Heard S, Cameron D, Plantinga AJ. Long-term trends in wildfire damages in California. International Journal of Wildland Fire, 2021, 30(10): 757-762

[20]

Calef MP, Schmidt JI, Varvak A, Ziel R. Predicting the unpredictable: Predicting landcover in boreal Alaska and the Yukon including succession and wildfire potential. Forests, 2023, 14(8): 1577

[21]

Calkin DE, Thompson MP, Finney MA. Negative consequences of positive feedbacks in US wildfire management. Forest Ecosystems, 2015, 2(1): 9

[22]

Chapin FSIIIRobards MD, Huntington HP, Johnstone JF, Trainor SF, Kofinas GP, Ruess RW, Fresco N, et al. . Directional changes in ecological communities and social-ecological systems: A framework for prediction based on Alaskan examples. The American Naturalist, 2006, 168(S6): S36-S49

[23]

City of Whitehorse. 2021. Building outline – From lidar. https://data.whitehorse.ca/. Accessed 26 Mar 2026.

[24]

Climate data. 2022. Climate data for cities worldwide. https://en.climate-data.org/. Accessed 26 Mar 2026.

[25]

Codding BF, Bird RB, Kauhanen PG, Bird DW. Conservation or co-evolution? Intermediate levels of aboriginal burning and hunting have positive effects on kangaroo populations in western Australia. Human Ecology, 2014, 42(5): 659-669

[26]

Collins L, Guindon L, Lloyd C, Taylor SW, White S. Fractional cover mapping of wildland-urban interface fuels using Landsat, Sentinel 1 and PALSAR imagery. Remote Sensing of Environment, 2024, 308: 114189

[27]

Cruz MG, Gould JS, Hollis JJ, McCaw WL. A hierarchical classification of wildland fire fuels for Australian vegetation types. Fire-Switzerland, 2018, 1(1): 13

[28]

Dillon, G.K., M.T. Lazarz, E.C. Karau, S.J. Story, and K.A. Pohl. 2024. Wildfire risk to communities: Community wildfire risk reduction zones for the United States. Fort Collins, CO: Forest Service Research Data Archive.

[29]

DOI (United States Department of the Interior) and USDA (United States Department of Agriculture). 2005. Quadrennial fire review (QFR). Washington, DC: and USDA. https://www.forestsandrangelands.gov/QFR/. Accessed 26 Mar 2026.

[30]

Erni S, Wang X, Swystun T, Taylor SW, Parisien M-A, Robinne F-N, Eddy B, Oliver J, et al. . Mapping wildfire hazard, vulnerability, and risk to Canadian communities. International Journal of Disaster Risk Reduction, 2024, 101: 104221

[31]

ESRI. 2022. ArcGIS Pro. Redlands, CA: ESRI.

[32]

FEMA (Federal Emergency Management Agency). 2024. How to create a community wildfire protection plan. Washington, DC: FEMA. https://www.usfa.fema.gov/blog/how-to-create-a-community-wildfire-protection-plan/. Accessed 26 Mar 2026.

[33]

FNSB (Fairbanks North Star Borough). 2009. Fairbanks North Star Borough community wildfire protection plan 2009 phase II. Fairbanks, AK: Interagency Planing Team.

[34]

FNSB (Fairbanks North Star Borough). 2019. Get FNSB GIS data. Fairbanks, AK: FNSB. https://www.fnsb.gov/438/Get-FNSB-GIS-Data. Accessed 26 Mar 2026.

[35]

Government of Canada. 2025. Environment and natural resources 2024. https://www.canada.ca/en/services/environment.html. Accessed 26 Mar 2026.

[36]

Government of Yukon. 2024a. Fire history. Whitehorse, YK: Government of Yukon. https://open.yukon.ca/data/datasets/fire-history. Accessed 26 Mar 2026.

[37]

Government of Yukon. 2024b. How are wildfires managed? Whitehorse, YK: Government of Yukon. https://wildfires.service.yukon.ca/pages/managing-wildfires. Accessed 26 Mar 2026.

[38]

Hammer RB, Stewart SI, Radeloff VC. Demographic trends, the wildland-urban interface, and wildfire management. Society & Natural Resources, 2009, 22(8): 777-782

[39]

Higuera PE, Cook MC, Balch JK, Stavros EN, Mahood AL, St Denis LA. Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires. PNAS Nexus, 2023, 2(3): 5

[40]

Hope C, Schaefer K. Economic impacts of carbon dioxide and methane released from thawing permafrost. Nature Climate Change, 2016, 6(1): 56-59

[41]

Jakes PJ, Nelson KC, Enzler SA, Burns S, Cheng AS, Sturtevant V, Williams DR, Bujak A, et al. . Community wildfire protection planning: Is the healthy forests restoration act’s vagueness genius?. International Journal of Wildland Fire, 2011, 20(3): 350-363

[42]

JEC (U.S. Congress Joint Economic Committee). 2023. Climate-exacerbated wildfire cost the US between $394 to $893 billion each year in economic costs and damages. Washington, DC: JEC.

[43]

Kasischke ES, Verbyla DL, Rupp TS, McGuire AD, Murphy KA, Jandt R, Barnes JL, Hoy EE, et al. . Alaska’s changing fire regime – Implications for the vulnerability of its boreal forests. Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere, 2010, 40(7): 1313-1324

[44]

Kelly, L.T., K.M. Giljohann, A. Duane, N. Aquilue, S. Archibald, E. Batllori, A.F. Bennett, S.T. Buckland, et al. 2020. Fire and biodiversity in the Anthropocene. Science 370(6519). https://doi.org/10.1126/science.abb0355.

[45]

Khan AA, Usmani A, Torero JL. Evolution of fire models for estimating structural fire-resistance. Fire Safety Journal, 2021, 124: 103367

[46]

Knapp EE, Valachovic YS, Quarles SL, Johnson NG. Housing arrangement and vegetation factors associated with single-family home survival in the 2018 Camp Fire California. Fire Ecology, 2021, 17(1): 25

[47]

Lamsaf H, Lamsaf A, Kerroum MA, Almeida M. Assessing trends in wildland-urban interface fire research through text mining: A comprehensive analysis of published literature. Journal of Forestry Research, 2024, 35(1): 71

[48]

Mattioli W, Ferrara C, Lombardo E, Barbati A, Salvati L, Tomao A. Estimating wildfire suppression costs: A systematic review. International Forestry Review, 2022, 24(1): 15-29

[49]

McDonald, N. 2019. McKinley fire incident summary. Alaska Incident Management Team. https://fire.ak.blm.gov/content/aicc/team_left/03.%20Alaska%20CIMT%20Incident%20Archive/Alaska%20IMT%20Incident%20Summaries/2019%20Summaries/2019%2008-19%20to%2009-02%20McKinley%20Summary%20(AK%20Green).pdf. Accessed 27 Mar 2026.

[50]

McHugh ML. The chi-square test of independence. Biochem Med (Zagreb), 2013, 23(2): 143-149

[51]

Meldrum JR, Barth CM, Goolsby JB, Olson SK, Gosey AC, White J, Brenkert-Smith H, Champ PA, Gomez J. Parcel-level risk affects wildfire outcomes: Insights from pre-fire rapid assessment data for homes destroyed in 2020 east troublesome fire. Fire, 2022, 5(1): 24

[52]

Melvin AM, Murray J, Boehlert B, Martinich JA, Rennels L, Rupp TS. Estimating wildfire response costs in Alaska’s changing climate. Climatic Change, 2017, 141(4): 783-795

[53]

Mishra P, Pandey CM, Singh U, Gupta A, Sahu C, Keshri A. Descriptive statistics and normality tests for statistical data. Ann Card Anaesth, 2019, 22(1): 67-72

[54]

MOA (Municipality of Anchorage). 2022. Municipality of Anchorage building footprints. Anchorage, AK: MOA. https://moa-muniorg.hub.arcgis.com/pages/maps. Accessed 26 Mar 2026.

[55]

Mobley, W. 2019. Effects of changing development patterns and ignition locations within Central Texas. Plos One 14(2): Article e0211454.

[56]

MSB (Matanuska-Susitna Borough). 2021. Infrastructure buildings. Palmer, AK: MSB. https://data1-msb.opendata.arcgis.com/datasets/MSB::infrastructure-buildings/explore?location=62.001326%2C-149.012900%2C9.24. Accessed 26 Mar 2026.

[57]

MSB (Matanuska-Susitna Borough). 2023. MSB aerial imagery. Palmer, AK: MSB. https://data1-msb.opendata.arcgis.com/pages/msb-aerial-imagery. Accessed 26 Mar 2026.

[58]

O’Neill, B., M. van Aalst, Z. Zaiton Ibrahim, L. Berrang Ford, S. Bhadwal, H. Buhaug, D. Diaz, K. Frieler, et al. 2022. Key risks across sectors and regions. In Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the sixth assessment report of the Intergovernmental Panel on Climate Change, ed. H.O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, et al., 2411–2538. Cambridge, UK: Cambridge University Press.

[59]

Oliveira S, Rocha J, A. Wildfire risk modeling. Current Opinion in Environmental Science & Health, 2021, 23: 100274

[60]

Palsa E, Bauer M, Evers C, Hamilton M, Nielsen-Pincus M. Engagement in local and collaborative wildfire risk mitigation planning across the western US – Evaluating participation and diversity in community wildfire protection plans. Plos One, 2022, 17(2): e0263757

[61]

Parmesan, C., M.D. Morecroft, Y. Trisurat, R. Adrian, G.Z. Anshari, A. Arneth, Q. Gao, P. Gonzalez, et al. 2022. Terrestrial and freshwater ecosystems and their services. In Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the sixth assessment report of the Intergovernmental Panel on Climate Change, ed. H.O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, et al., 197–377. Cambridge, UK: Cambridge University Press.

[62]

Price O, Ondei S, Bowman D. Progress and prospects for predicting wildfire spread through the wildland-urban interface. International Journal of Disaster Risk Reduction, 2025, 121: 105392

[63]

Radeloff VC, Helmers DP, Kramer HA, Mockrin MH, Alexandre PM, Bar-Massada A, Butsic V, Hawbaker TJ, et al. . Rapid growth of the US wildland-urban interface raises wildfire risk. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(13): 3314-3319

[64]

Schmidt, J.I., M. Berman, and C.F. Waigl. 2024. Avoid getting burned: Lessons from the McKinley wildfire in rural Alaska, USA. International Journal of Wildland Fire 33(11): https://doi.org/10.1071/WF24014.

[65]

Schmidt JI, Ziel RH, Calef MP, Varvak A. Spatial distribution of wildfire threat in the far north: Exposure assessment in boreal communities. Natural Hazards, 2024, 120(5): 4901-4924

[66]

Schug F, Bar-Massada A, Carlson AR, Cox H, Hawbaker TJ, Helmers D, Hostert P, Kaim D, et al. . The global wildland-urban interface. Nature, 2023, 621(7977): 94-99

[67]

Scott, J.H. 2013. A wildfire risk assessment framework for land and resource management. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.

[68]

Scott, J.H., and R.E. Burgan. 2005. Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.

[69]

Scott, J.H., A.M. Brough, J.W. Gilbertson-Day, G.K. Dillon, and C. Moran. 2020. Wildfire risk to communities: Spatial datasets of wildfire risk for populated areas in the United States. Fort Collins, CO: Forest Service Research Data Archive.

[70]

Spyratos V, Bourgeron PS, Ghil M. Development at the wildland-urban interface and the mitigation of forest-fire risk. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(36): 14272-14276

[71]

Statistics Canada. 2021. Census of Canada. https://www12.statcan.gc.ca/census-recensement/index-eng.cfm. Accessed 26 Mar 2026.

[72]

Syphard AD, Keeley JE. Factors associated with structure loss in the 2013–2018 California wildfires. Fire-Switzerland, 2019, 2(3): 49

[73]

Syphard AD, Brennan TJ, Keeley JE. The role of defensible space for residential structure protection during wildfires. International Journal of Wildland Fire, 2014, 23(8): 1165-1175

[74]

Syphard AD, Keeley JE, Bar Massada A, Brennan TJ, Radeloff VC. Housing arrangement and location determine the likelihood of housing loss due to wildfire. Plos One, 2012, 7(3): e33954

[75]

Thoman, R. 2022. Southwest Alsaka and 2022 wildfire season. Paper read at Alaska Interagency Fall Fire Review, 25–27 October 2022, Fairbanks, AK, USA.

[76]

Thompson, M.P., T. Zimmerman, D. Mindar, and M. Taber. 2016. Risk terminology primer: Basic principles and a glossary for the wildland fire management community. Fort Collins, CO: Department of Agriculture, Forest Service, Rocky Mountain Research Station.

[77]

UAF (University of Alaska Fairbanks), AKDOF (Alaska Division of Forestry and Fire Protection), and USFS (United States Forest Service). 2025. Outbreak status. Fairbanks, AK: UAF, AKDOF, and USFS. https://www.alaskasprucebeetle.org/outbreak-status/. Accessed 26 Mar 2026.

[78]

US Census Bureau. 2020. U.S. decadal census: Profile of general population and housing characteristics: 2020. Suitland, MD: U.S. Census Bureau.

[79]

USDA (United States Department of Agriculture). 2020. Forest health conditions in Alaska – 2019. Anchorage, AK: USDA.

[80]

USDA (United States Department of Agriculture). 2024. Aerial detection survey. Washington, DC: USDA, Forest Service. https://www.fs.usda.gov/r10/natural-resources/forest-health/aerial-detection-survey. Accessed 26 Mar 2026.

[81]

USFS (United States Forest Service). 2020. Wildfire risk to communities. Washington, DC: United States Department of Agriculture, USFS. https://wildfirerisk.org/. Accessed 26 Mar 2026.

[82]

Wang, J.A., D. Sulla-Menashe, C.E. Woodcock, O. Sonnentag, R.F. Keeling, and M.A. Friedl. 2019. ABoVE: Landsat-derived annual dominant land cover across ABoVE core domain, 1984–2014. Oak Ridge, TN: ORNL Distributed Active Archive Center.

[83]

Wenzel GW, Dolan J, Brown C. Wild resources, harvest data and food security in Nunavut’s Qikiqtaaluk region: A diachronic analysis. Arctic, 2016, 69(2): 147-159

[84]

Zhu X, Xu X, Jia G. Recent massive expansion of wildfire and its impact on active layer over pan-Arctic permafrost. Environmental Research Letters, 2023, 18(8): 084010

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