1932

Abstract

Wildfire is a natural phenomenon with substantial economic consequences, and its management is complex, dynamic, and rife with incentive problems. This article reviews the contribution of economics to our understanding of wildfire and highlights remaining knowledge gaps. We first summarize economic impacts to illustrate scale and trends. We then focus on wildfire management in three phases: mitigation before fires occur, response during fires, and response after fires. The literature highlights economic interdependencies and spillover effects across fire-prone landscapes as the source of economic inefficiencies and motivation for public institutional response. The literature illustrates the complexity of this problem with its myriad threads, including the trade-offs of living in fire-prone environments, the prospects for using controlled fire and mechanical fuel removal for reducing wildfire severity, the decision-making environment that firefighters face, and the economic consequences of wildfire smoke on health. Economics provides valuable insights, but fundamental questions remain unanswered.

Loading

Article metrics loading...

/content/journals/10.1146/annurev-resource-111920-014804
2022-10-05
2024-04-27
Loading full text...

Full text loading...

/deliver/fulltext/resource/14/1/annurev-resource-111920-014804.html?itemId=/content/journals/10.1146/annurev-resource-111920-014804&mimeType=html&fmt=ahah

Literature Cited

  1. Abatzoglou JT, Juang CS, Williams AP, Kolden CA, Westerling AL. 2021. Increasing synchronous fire danger in forests of the western United States. Geophys. Res. Lett. 48:2e2020GL091377
    [Google Scholar]
  2. Abatzoglou JT, Williams AP. 2016. Impact of anthropogenic climate change on wildfire across western US forests. PNAS 113:4211770–75
    [Google Scholar]
  3. Abt KL, Prestemon JP, Gebert K. 2008. Forecasting wildfire suppression expenditures for the United States Forest Service. See Holmes et al. 2008 341–60
  4. Abt KL, Prestemon JP, Gebert KM. 2009. Wildfire suppression cost forecasts for the US Forest Service. J. For. 107:4173–78
    [Google Scholar]
  5. Alexandre PM, Mockrin MH, Stewart SI, Hammer RB, Radeloff VC et al. 2014. Rebuilding and new housing development after wildfire. Int. J. Wildland Fire 24:1138–49
    [Google Scholar]
  6. Alexandre PM, Stewart SI, Keuler NS, Clayton MK, Mockrin MH et al. 2016. Factors related to building loss due to wildfires in the conterminous United States. Ecol. Appl. 26:72323–38
    [Google Scholar]
  7. Amacher GS, Malik AS, Haight RG. 2005. Not getting burned: the importance of fire prevention in forest management. Land Econ 81:2284–302
    [Google Scholar]
  8. Arab A, Khodaei A, Eskandarpour R, Thompson MP, Wei Y. 2021. Three lines of defense for wildfire risk management in electric power grids: a review. IEEE Access 9:61577–93
    [Google Scholar]
  9. Bayham J, Belval EJ, Thompson MP, Dunn C, Stonesifer CS, Calkin DE. 2020. Weather, risk, and resource orders on large wildland fires in the western US. Forests 11:2169
    [Google Scholar]
  10. Bayham J, Yoder JK. 2020. Resource allocation under fire. Land Econ 96:192–110
    [Google Scholar]
  11. Baylis P, Boomhower J. 2019. Moral hazard, wildfires, and the economic incidence of natural disasters NBER Work. Pap. 26550
  12. Baylis PW, Boomhower J. 2021. Mandated vs. voluntary adaptation to natural disasters: the case of U.S. wildfires NBER Work. Pap. 29621
  13. BEA (Bur. Econ. Anal.) 2020. Outdoor recreation satellite account, U.S. and states, 2019 News Release 20–56, Nov. 10 Bur. Econ. Anal. Suitland, MD: https://www.bea.gov/news/2020/outdoor-recreation-satellite-account-us-and-states-2019
  14. Belval EJ, O'Connor CD, Thompson MP, Hand MS 2019. The role of previous fires in the management and expenditures of subsequent large wildfires. Fire 2:457
    [Google Scholar]
  15. Belval EJ, Stonesifer CS, Calkin DE. 2020. Fire suppression resource scarcity: current metrics and future performance indicators. Forests 11:2217
    [Google Scholar]
  16. Belval EJ, Wei Y, Calkin DE, Stonesifer CS, Thompson MP, Tipton JR. 2017. Studying interregional wildland fire engine assignments for large fire suppression. Int. J. Wildland Fire 26:642–53
    [Google Scholar]
  17. Bennett J. 2012. Private and public provision of firefighting services in rural Australia. See Bradshaw & Lueck 2012 142–57
  18. Bishop KC, Ketcham JD, Kuminoff NV. 2018. Hazed and confused: the effect of air pollution on dementia NBER Work. Pap. 24970
  19. Borgschulte M, Molitor D, Zou E. 2020. Air pollution and the labor market: evidence from wildfire smoke Work. Pap., Dep. Econ., Univ. Ill. Urbana-Champaign:
  20. Bradshaw KM, Lueck D, eds. 2012. Wildfire Policy: Law and Economics Perspectives New York: RFF Press
  21. Brenkert-Smith H, Champ PA, Flores N. 2006. Insights into wildfire mitigation decisions among wildland-urban interface residents. Soc. Nat. Resourc. 19:8759–68
    [Google Scholar]
  22. Brenkert-Smith H, Champ PA, Flores N. 2012. Trying not to get burned: understanding homeowners’ wildfire risk-mitigation behaviors. Environ. Manag. 50:61139–51
    [Google Scholar]
  23. Burke M, Driscoll A, Heft-Neal S, Xue J, Burney J, Wara M. 2021. The changing risk and burden of wildfire in the United States. PNAS 118:2e2011048118
    [Google Scholar]
  24. Burkhardt J, Bayham J, Wilson A, Berman JD, O'Dell K et al. 2020. The relationship between monthly air pollution and violent crime across the United States. J. Environ. Econ. Policy 9:2188–205
    [Google Scholar]
  25. Burkhardt J, Bayham J, Wilson A, Carter E, Berman JD et al. 2019. The effect of pollution on crime: evidence from data on particulate matter and ozone. J. Environ. Econ. Manag. 98:102267
    [Google Scholar]
  26. Busby G, Amacher GS, Haight RG. 2013. The social costs of homeowner decisions in fire-prone communities: Information, insurance, and amenities. Ecol. Econ. 92:104–13
    [Google Scholar]
  27. Busby GM, Albers HJ, Montgomery CA. 2012. Wildfire risk management in a landscape with fragmented ownership and spatial interactions. Land Econ 88:3496–517
    [Google Scholar]
  28. Butry DT, Prestemon JP, Abt KL, Sutphen R, Butry DT et al. 2010. Economic optimisation of wildfire intervention activities. Int. J. Wildland Fire 19:5659–72
    [Google Scholar]
  29. Caggiano MD, Hawbaker TJ, Gannon BM, Hoffman CM. 2020. Building loss in WUI disasters: evaluating the core components of the wildland-urban interface definition. Fire 3:473
    [Google Scholar]
  30. Calkin D, Gebert K. 2006. Modeling fuel treatment costs on forest service lands in the western United States. Western J. Appl. For. 21:4217–21
    [Google Scholar]
  31. Calkin DE, Cohen JD, Finney MA, Thompson MP. 2014a. How risk management can prevent future wildfire disasters in the wildland-urban interface. PNAS 111:2746–51
    [Google Scholar]
  32. Calkin DE, Gebert KM, Jones JG, Neilson RP. 2005. Forest Service large fire area burned and suppression expenditure trends, 1970–2002. J. For. 103:4179–83
    [Google Scholar]
  33. Calkin DE, Stonesifer CS, Thompson MP, McHugh CW. 2014b. Large airtanker use and outcomes in suppressing wildland fires in the United States. Int. J. Wildland Fire 23:2259–71
    [Google Scholar]
  34. Canton-Thompson J, Gebert KM, Thompson B, Jones G, Calkin D, Donovan G. 2008. External human factors in incident management team decisionmaking and their effect on large fire suppression expenditures. J. For. 106:8416–24
    [Google Scholar]
  35. Champ P, Barth C, Brenkert-Smith H, Falk L, Gomez J, Meldrum J. 2021. Putting people first: using social science to reduce risk. Wildfire Mag https://www.iawfonline.org/article/putting-people-first-using-social-science-to-reduce-risk/
    [Google Scholar]
  36. Champ PA, Donovan GH, Barth CM. 2009. Homebuyers and wildfire risk: a Colorado Springs case study. Soc. Nat. Resourc. 23:158–70
    [Google Scholar]
  37. Champ PA, Donovan GH, Barth CM. 2013. Living in a tinderbox: wildfire risk perceptions and mitigating behaviours. Int. J. Wildland Fire 22:6832–40
    [Google Scholar]
  38. Clark AM, Rashford BS, McLeod DM, Lieske SN, Coupal RH, Albeke SE. 2016. The impact of residential development pattern on wildland fire suppression expenditures. Land Econ 92:4656–78
    [Google Scholar]
  39. Currie J, Graff Zivin J, Mullins J, Neidell M. 2014. What do we know about short- and long-term effects of early-life exposure to pollution?. Annu. Rev. Resour. Econ. 6:217–47
    [Google Scholar]
  40. [Google Scholar]
  41. Dixon L, Tsang F, Fitts G. 2018. The impact of changing wildfire risk on California's residential insurance market Rep. CNRA-CCC4A-2018, August Calif. Nat. Resour. Agency, Sacramento https://www.rand.org/pubs/external_publications/EP67670.html
  42. Dixon R. 2021. Siberia's wildfires are bigger than all the world's other blazes combined. Washington Post Aug. 11. https://www.washingtonpost.com/world/2021/08/11/siberia-fires-russia-climate/
    [Google Scholar]
  43. Donovan GH, Brown TC. 2005. An alternative incentive structure for wildfire management on national forest land. For. Sci. 51:5387–95
    [Google Scholar]
  44. Donovan GH, Brown TC, Dale L. 2008. Incentives and wildfire management in the United States. See Holmes et al. 2008 323–40
  45. Donovan GH, Champ PA, Butry DT. 2007. Wildfire risk and housing prices: a case study from Colorado Springs. Land Econ 83:2217–33
    [Google Scholar]
  46. Donovan GH, Prestemon JP, Gebert K. 2011. The effect of newspaper coverage and political pressure on wildfire suppression costs. Soc. Nat. Resourc. 24:8785–98
    [Google Scholar]
  47. Dumm RE, Sirmans GS, Smersh G. 2011. The capitalization of building codes in house prices. J. Real Estate Finance Econ. 42:130–50
    [Google Scholar]
  48. Egan T. 2010. The Big Burn: Teddy Roosevelt and the Fire That Saved America Boston, MA: Mariner Books
  49. Englin J, Holmes TP, Lutz J. 2008. Wildfire and the economic value of wilderness recreation. See Holmes et al. 2008 191–208
  50. Englin J, Loomis J, González-Cabán A. 2001. The dynamic path of recreational values following a forest fire: a comparative analysis of states in the Intermountain West. Can. J. For. Res. 31:101837–44
    [Google Scholar]
  51. EPA (US Environ. Prot. Agency) 2021. Comparative Assessment of the Impacts of Prescribed Fire Versus Wildfire (CAIF): a case study in the Western U.S. Rep. EPA/600/R-21/197, US Environ. Prot. Agency Washington, DC:
    [Google Scholar]
  52. Finney M, Grenfell IC, McHugh CW 2009. Modeling containment of large wildfires using generalized linear mixed-model analysis. For. Sci. 55:3249–55
    [Google Scholar]
  53. Fischer AP, Kline JD, Ager AA, Charnley S, Olsen KA et al. 2013. Objective and perceived wildfire risk and its influence on private forest landowners’ fuel reduction activities in Oregon's (USA) ponderosa pine ecoregion. Int. J. Wildland Fire 23:1143–53
    [Google Scholar]
  54. Flavelle C. 2020. Wildfires hasten another climate crisis: homeowners who can't get insurance. The New York Times Sep. 2. https://www.nytimes.com/2020/09/02/climate/wildfires-insurance.html
    [Google Scholar]
  55. Florec V, Burton M, Pannell D, Kelso J, Milne G et al. 2019. Where to prescribe burn: the costs and benefits of prescribed burning close to houses. Int. J. Wildland Fire 29:5440–58
    [Google Scholar]
  56. Gannon BM, Thompson MP, Deming KZ, Bayham J, Wei Y, O'Connor CD. 2020. A geospatial framework to assess fireline effectiveness for large wildfires in the western USA. Fire 3:343
    [Google Scholar]
  57. Gannon BM, Wei Y, MacDonald LH, Kampf SK, Jones KW et al. 2019. Prioritising fuels reduction for water supply protection. Int. J. Wildland Fire 28:10785–803
    [Google Scholar]
  58. Gebert KM, Calkin DE, Yoder J. 2007. Estimating suppression expenditures for individual large wildland fires. Western J. Appl. For. 22:3188–96
    [Google Scholar]
  59. Gellman J, Walls M, Wibbenmeyer MJ 2022. Wildfire, smoke, and outdoor recreation in the western United States. For. Policy Econ. 134:102619
    [Google Scholar]
  60. Gude PH, Jones K, Rasker R, Greenwood MC, Gude PH et al. 2013. Evidence for the effect of homes on wildfire suppression costs. Int. J. Wildland Fire 22:4537–48
    [Google Scholar]
  61. Halbritter A, Deegen P, Susaeta A 2020. An economic analysis of thinnings and rotation lengths in the presence of natural risks in even-aged forest stands. For. Policy Econ. 118:102223
    [Google Scholar]
  62. Hand M, Katuwal H, Calkin DE, Thompson MP. 2017. The influence of incident management teams on the deployment of wildfire suppression resources. Int. J. Wildland Fire 26:615–29
    [Google Scholar]
  63. Hand MS, Gebert KM, Liang J, Calkin DE, Thompson MP, Zhou M. 2014. Economics of Wildfire Management: The Development and Application of Suppression Expenditure Models New York: Springer
  64. Hand MS, Thompson MP, Calkin DE. 2016. Examining heterogeneity and wildfire management expenditures using spatially and temporally descriptive data. J. For. Econ. 22:80–102
    [Google Scholar]
  65. Hand MS, Wibbenmeyer MJ, Calkin DE, Thompson MP 2015. Risk preferences, probability weighting, and strategy tradeoffs in wildfire management. Risk Anal 35:101876–91
    [Google Scholar]
  66. Herawati H, Santoso H. 2011. Tropical forest susceptibility to and risk of fire under changing climate: a review of fire nature, policy and institutions in Indonesia. For. Policy Econ 13:4227–33
    [Google Scholar]
  67. Hesseln H. 2000. The economics of prescribed burning: a research review. For. Sci. 46:3322–34
    [Google Scholar]
  68. Hesseln H, Loomis JB, González-Cabán A. 2004. The effects of fire on recreation demand in Montana. Western J. Appl. For. 19:147–53
    [Google Scholar]
  69. Hesseln H, Loomis JB, González-Cabán A, Alexander S 2003. Wildfire effects on hiking and biking demand in New Mexico: a travel cost study. J. Environ. Manag. 69:4359–68
    [Google Scholar]
  70. Hjerpe E, Kim Y-S, Dunn L. 2016. Forest density preferences of homebuyers in the wildland-urban interface. For. Policy Econ 70:56–66
    [Google Scholar]
  71. Hohner AK, Rhoades CC, Wilkerson P, Rosario-Ortiz FL. 2019. Wildfires alter forest watersheds and threaten drinking water quality. Acc. Chem. Res. 52:51234–44
    [Google Scholar]
  72. Holmes TP, Huggett RJ, Westerling AL. 2008a. Statistical analysis of large wildfires. See Holmes et al. 2008 59–77
  73. Holmes TP, Prestemon JP, Abt KL, eds. 2008b. The Economics of Forest Disturbances: Wildfires, Storms, and Invasive Species Dordrecht, Neth: Springer
  74. Houtman RM, Montgomery CA, Gagnon AR, Calkin DE, Dietterich TG et al. 2013. Allowing a wildfire to burn: estimating the effect on future fire suppression costs. Int. J. Wildland Fire 22:7871–82
    [Google Scholar]
  75. Johnston FH, Borchers-Arriagada N, Morgan GG, Jalaludin B, Palmer AJ et al. 2021. Unprecedented health costs of smoke-related PM2.5 from the 2019–20 Australian megafires. Nat. Sustain. 4:142–47
    [Google Scholar]
  76. Jones BA. 2017. Are we underestimating the economic costs of wildfire smoke? An investigation using the life satisfaction approach. J. For. Econ. 27:80–90
    [Google Scholar]
  77. Jones BA. 2018. Willingness to pay estimates for wildfire smoke health impacts in the US using the life satisfaction approach. J. Environ. Econ. Policy 7:4403–19
    [Google Scholar]
  78. Jones BA, Berrens RP. 2021. Prescribed burns, smoke exposure, and infant health. Contemp. Econ. Policy 39:2292–309
    [Google Scholar]
  79. Jones KW, Cannon JB, Saavedra FA, Kampf SK, Addington RN et al. 2017. Return on investment from fuel treatments to reduce severe wildfire and erosion in a watershed investment program in Colorado. J. Environ. Manag. 198:Part 266–77
    [Google Scholar]
  80. Katuwal H, Calkin DE, Hand MS. 2016. Production and efficiency of large wildland fire suppression effort: a stochastic frontier analysis. J. Environ. Manag. 166:227–36
    [Google Scholar]
  81. Kaval P, Loomis J, Seidl A. 2007. Willingness-to-pay for prescribed fire in the Colorado (USA) wildland urban interface. For. Policy Econ 9:8928–37
    [Google Scholar]
  82. Kharuk VI, Ponomarev EI, Ivanova GA, Dvinskaya ML, Coogan SCP, Flannigan MD. 2021. Wildfires in the Siberian taiga. Ambio 50:111953–74
    [Google Scholar]
  83. Kochi I, Champ PA, Loomis JB, Donovan GH. 2016. Valuing morbidity effects of wildfire smoke exposure from the 2007 Southern California wildfires. J. For. Econ. 25:29–54
    [Google Scholar]
  84. Konoshima M, Montgomery CA, Albers HJ, Arthur JL. 2008. Spatial-endogenous fire risk and efficient fuel management and timber harvest. Land Econ 84:3449–68
    [Google Scholar]
  85. Kotchen MJ. 2017. Longer-run evidence on whether building energy codes reduce residential energy consumption. J. Assoc. Environ. Resour. Econ. 4:1135–53
    [Google Scholar]
  86. Kousky C. 2019. The role of natural disaster insurance in recovery and risk reduction. Annu. Rev. Resour. Econ. 11:399–418
    [Google Scholar]
  87. Kousky C, Greig K, Lingle B, Kunreuther K. 2018. Wildfire cost in California: the role of electric utilities Issue Brief, August, Wharton Risk Manag. Decis. Process. Cent., Univ. Penn.
  88. Kousky C, Olmstead SM. 2010. Induced development in risky locations: fire suppression and land use in the American West Work. Pap., Resour. Fut. Washington, DC:
  89. Kousky C, Olmstead S, Sedjo R. 2012. In harm's way: homeowner behavior and wildland fire policy. See Bradshaw & Lueck 2012 178–99
  90. Langpap C, Wu JJ. 2021. Preemptive incentives and liability rules for wildfire risk management. Am. J. Agric. Econ. 103:51783–1801
    [Google Scholar]
  91. Lauer CJ, Montgomery CA, Dietterich TG, Lauer CJ, Montgomery CA, Dietterich TG. 2020. Evaluating wildland fire liability standards—does regulation incentivise good management?. Int. J. Wildland Fire 29:7572–80
    [Google Scholar]
  92. Lee M. 2021. Burn scars and burnt s'mores: the impact of wildfire on camping demand in the years after a fire occurs Master's Thesis, Colo. State Univ. Fort Collins:
  93. Liang J, Calkin DE, Gebert KM, Venn TJ, Silverstein RP. 2008. Factors influencing large wildland fire suppression expenditures. Int. J. Wildland Fire 17:5650–59
    [Google Scholar]
  94. Liao Y, Kousky C. 2022. The fiscal impacts of wildfires on California municipalities. J. Assoc. Environ. Resour. Econ. 9:3 https://doi.org/10.1086/717492
    [Crossref] [Google Scholar]
  95. Loomis J. 2004. Do nearby forest fires cause a reduction in residential property values?. J. For. Econ. 10:3149–57
    [Google Scholar]
  96. Loomis J, Wohlgemuth P, González-Cabán A, English D. 2003. Economic benefits of reducing fire-related sediment in southwestern fire-prone ecosystems. Water Resourc. Res. 39:91260
    [Google Scholar]
  97. Loomis JB, Bair LS, González-Cabán A. 2001. Prescribed fire and public support: knowledge gained, attitudes changed in Florida. J. For. 99:1118–22
    [Google Scholar]
  98. Loomis JB, González-Cabán A. 1998. A willingness-to-pay function for protecting acres of spotted owl habitat from fire. Ecol. Econ. 25:3315–22
    [Google Scholar]
  99. Loomis JB, González-Cabán A. 2008. Contingent valuation of fuel hazard reduction treatments. See Holmes et al. 2008 229–43
  100. Lueck D, Yoder J. 2015. The economic foundations of firefighting organizations and institutions. J. For. 113:3291–97
    [Google Scholar]
  101. Manisalidis I, Stavropoulou E, Stavropoulos A, Bezirtzoglou E. 2020. Environmental and health impacts of air pollution: a review. Front. Public Health 8:14
    [Google Scholar]
  102. Martin WE, Martin IM, Kent B. 2009. The role of risk perceptions in the risk mitigation process: the case of wildfire in high risk communities. J. Environ. Manag. 91:2489–98
    [Google Scholar]
  103. McCaffrey S, Wilson R, Konar A. 2018. Should I stay or should I go now? Or should I wait and see? Influences on wildfire evacuation decisions. Risk Anal 38:71390–404
    [Google Scholar]
  104. McCoy SJ, Walsh RP. 2018. Wildfire risk, salience & housing demand. J. Environ. Econ. Manag. 91:203–28
    [Google Scholar]
  105. McFarlane BL, McGee TK, Faulkner H. 2011. Complexity of homeowner wildfire risk mitigation: an integration of hazard theories. Int. J. Wildland Fire 20:8921–31
    [Google Scholar]
  106. McLennan J, Birch A. 2005. A potential crisis in wildfire emergency response capability? Australia's volunteer firefighters. Glob. Environ. Change B Environ. Hazards 6:2101–7
    [Google Scholar]
  107. McNeill IM, Dunlop PD, Skinner TC, Morrison DL, McNeill IM et al. 2016. A value- and expectancy-based approach to understanding residents’ intended response to a wildfire threat. Int. J. Wildland Fire 25:4378–89
    [Google Scholar]
  108. Meldrum JR, Brenkert-Smith H, Champ PA, Gomez J, Byerly H et al. 2021. Would you like to know more? The effect of personalized wildfire risk information and social comparisons on information-seeking behavior in the wildland-urban interface. Nat. Hazards 106:32139–61
    [Google Scholar]
  109. Meldrum JR, Brenkert-Smith H, Champ P, Gomez J, Falk L, Barth C 2019. Interactions between resident risk perceptions and wildfire risk mitigation: evidence from simultaneous equations modeling. Fire 2:346
    [Google Scholar]
  110. Meldrum JR, Champ PA, Warziniack T, Brenkert-Smith H, Barth CM et al. 2014. Cost shared wildfire risk mitigation in Log Hill Mesa, Colorado: survey evidence on participation and willingness to pay. Int. J. Wildland Fire 23:4567–76
    [Google Scholar]
  111. Melendez B, Ghanipoor Machiani S, Nara A 2021. Modelling traffic during Lilac Wildfire evacuation using cellular data. Transp. Res. Interdiscip. Perspect. 9:100335
    [Google Scholar]
  112. Mercer DE, Haight RG, Prestemon JP. 2008. Analyzing trade-offs between fuels management, suppression, and damages from wildfire. See Holmes et al. 2008 247–72
  113. Merrill TW. 2012. Property and fire. See Bradshaw & Lueck 2012 32–49
  114. Miller N, Molitor D, Zou E. 2021. A causal concentration-response function for air pollution: evidence from wildfire smoke Work. Pap., Coll. Bus., Univ. Ill. Urbana-Champaign:
  115. Milne M, Clayton H, Dovers S, Cary GJ. 2014. Evaluating benefits and costs of wildland fires: critical review and future applications. Environ. Hazards 13:2114–32
    [Google Scholar]
  116. Moeltner K, Kim M-K, Zhu E, Yang W 2013. Wildfire smoke and health impacts: a closer look at fire attributes and their marginal effects. J. Environ. Econ. Manag. 66:3476–96
    [Google Scholar]
  117. Mozumder P, Raheem N, Talberth J, Berrens RP. 2008. Investigating intended evacuation from wildfires in the wildland-urban interface: application of a bivariate probit model. For. Policy Econ 10:6415–23
    [Google Scholar]
  118. Mueller J, Loomis J, González-Cabán A. 2009. Do repeated wildfires change homebuyers’ demand for homes in high-risk areas? A hedonic analysis of the short and long-term effects of repeated wildfires on house prices in Southern California. J. Real Estate Finance Econ. 38:2155–72
    [Google Scholar]
  119. Mueller JM, Loomis JB. 2014. Does the estimated impact of wildfires vary with the housing price distribution? A quantile regression approach. Land Use Policy 41:121–27
    [Google Scholar]
  120. NOAA (Natl. Ocean. Atmos. Assoc.) 2021. Billion-dollar weather and climate disasters 2021 Natl. Cent. Environ. Inf., Natl. Ocean. Atmos. Assoc. Washington, DC: https://www.ncdc.noaa.gov/billions/
  121. O'Dell K, Bilsback K, Ford B, Martenies SE, Magzamen S et al. 2021. Estimated mortality and morbidity attributable to smoke plumes in the United States: not just a western US problem. GeoHealth 5:9e2021GH000457
    [Google Scholar]
  122. O'Dell K, Ford B, Burkhardt J, Anenberg S, Bayham J et al. 2022. Influence of wildfire smoke on indoor air quality in several western US cities Presented at the Fall Meeting of the American Geophysical Union Chicago: Dec. 12–16
  123. Olsen J, Yoder J. 2021. Homes as havens: the spatial relationship between homes and areas burned by wildfires Presented at the 2021 Western Economics Association International Annual Conference, Virtual June 27–July 1. https://pages.uoregon.edu/cameron/AERE-WEAI-2021/p_Olsen.pdf
  124. Omi PN. 2015. Theory and practice of wildland fuels management. Curr. For. Rep. 1:2100–117
    [Google Scholar]
  125. Pausas JG, Keeley JE. 2019. Wildfires as an ecosystem service. Front. Ecol. Environ. 17:5289–95
    [Google Scholar]
  126. Paveglio T, Prato T, Dalenberg D, Venn T. 2014. Understanding evacuation preferences and wildfire mitigations among Northwest Montana residents. Int. J. Wildland Fire. 23:3435–44
    [Google Scholar]
  127. Plantinga AJ, Walsh R, Wibbenmeyer M. 2020. Priorities and effectiveness in wildfire management: evidence from fire spread in the western United States RFF Work. Pap. 20–21 Resour. Fut. Washinton, DC:
  128. Prestemon JP, Holmes TP. 2008. Timber salvage economics. See Holmes et al. 2008 167–90
  129. Prestemon JP, Wear DN, Stewart FJ, Holmes TP. 2006. Wildfire, timber salvage, and the economics of expediency. For. Policy Econ 8:3312–22
    [Google Scholar]
  130. Pyne SJ. 1998. Forged in fire: history, land, and anthropogenic fire. Advances in Historical Ecology W Balée 64–103 New York: Columbia Univ. Press
    [Google Scholar]
  131. Pyne SJ. 2017. Fire in America: A Cultural History of Wildland and Rural Fire Seattle: Univ. Wash. Press
  132. Quarles SL, Valachovic Y, Nakamura GM, Nader GA, de Lasaux MJ. 2010. Home survival in wildfire-prone areas: building materials and design considerations Agric. Nat. Resour. Publ. 8393, Univ. Calif. Davis:
  133. Radeloff VC, Helmers DP, Kramer HA, Mockrin MH, Alexandre PM et al. 2018. Rapid growth of the US wildland-urban interface raises wildfire risk. PNAS 115:133314–19
    [Google Scholar]
  134. Reed WJ. 1984. The effects of the risk of fire on the optimal rotation of a forest. J. Environ. Econ. Manag. 11:2180–90
    [Google Scholar]
  135. Richardson L, Loomis JB, Champ PA. 2013. Valuing morbidity from wildfire smoke exposure: a comparison of revealed and stated preference techniques. Land Econ 89:176–100
    [Google Scholar]
  136. Robichaud PR, Elliot WJ. 2006. Protection from Erosion Following Wildfire St. Joseph, MI: ASABE
  137. Rossi D, Kuusela O-P 2020. The influence of risk attitudes on suppression spending and on wildland fire program budgeting. For. Policy Econ 113:102087
    [Google Scholar]
  138. Selimovic V, Yokelson RJ, McMeeking GR, Coefield S. 2020. Aerosol mass and optical properties, smoke influence on O3, and high NO3 production rates in a western U.S. city impacted by wildfires. J. Geophys. Res. Atmos. 125:16e2020JD032791
    [Google Scholar]
  139. Shafran AP. 2008. Risk externalities and the problem of wildfire risk. J. Urban Econ. 64:2488–95
    [Google Scholar]
  140. Shakesby RA, Moody JA, Martin DA, Robichaud PR 2016. Synthesising empirical results to improve predictions of post-wildfire runoff and erosion response. Int. J. Wildland Fire 25:3257–61
    [Google Scholar]
  141. Sparhawk WN. 1925. Use of liability ratings in forest protection. J. Agric. Res. 30:8693–792
    [Google Scholar]
  142. Stetler KM, Venn TJ, Calkin DE. 2010. The effects of wildfire and environmental amenities on property values in northwest Montana, USA. Ecol. Econ. 69:112233–43
    [Google Scholar]
  143. Stonesifer CS, Calkin DE, Hand MS. 2017. Federal fire managers’ perceptions of the importance, scarcity and substitutability of suppression resources. Int. J. Wildland Fire 26:7598–603
    [Google Scholar]
  144. Sun C. 2006. State statutory reforms and retention of prescribed fire liability laws on U.S. forest land. For. Policy Econ 9:4392–402
    [Google Scholar]
  145. Talberth J, Berrens RP, Mckee M, Jones M. 2006. Averting and insurance decisions in the wildland-urban interface: implications of survey and experimental data for wildfire risk reduction policy. Contemp. Econ. Policy 24:2203–23
    [Google Scholar]
  146. Tanner S, Lupi F, Garnache C. 2019. Estimating the impact of fires on recreation in the Angeles National Forest using combined revealed and stated preference methods Presented at the 2019 Annual Meeting of the Agricultural and Applied Economics Association Atlanta: July 21–23
  147. Taylor MH. 2019. Mitigating wildfire risk on private property with spatial dependencies. Strateg. Behav. Environ. 8:11–31
    [Google Scholar]
  148. Taylor MH, Rollins K, Kobayashi M, Tausch RJ. 2013. The economics of fuel management: Wildfire, invasive plants, and the dynamics of sagebrush rangelands in the western United States. J. Environ. Manag. 126:157–73
    [Google Scholar]
  149. Thompson MP, Freeborn P, Rieck JD, Calkin DE, Gilbertson-Day JW et al. 2016. Quantifying the influence of previously burned areas on suppression effectiveness and avoided exposure: a case study of the Las Conchas Fire. Int. J. Wildland Fire 25:2167–81
    [Google Scholar]
  150. Thompson MP, Riley KL, Loeffler D, Haas JR. 2017. Modeling fuel treatment leverage: encounter rates, risk reduction, and suppression cost impacts. Forests 8:12469
    [Google Scholar]
  151. Toledo D, Kreuter UP, Sorice MG, Taylor CA. 2014. The role of prescribed burn associations in the application of prescribed fires in rangeland ecosystems. J. Environ. Manag. 132:323–28
    [Google Scholar]
  152. Toledo T, Marom I, Grimberg E, Bekhor S. 2018. Analysis of evacuation behavior in a wildfire event. Int. J. Disaster Risk Reduct. 31:1366–73
    [Google Scholar]
  153. Troy A. 2007. A tale of two policies: California programs that unintentionally promote development in wildland fire hazard zones. Living on the Edge, Vol. 6 A Troy, RG Kennedy 127–40 Bradford, UK: Emerald Group Publ.
    [Google Scholar]
  154. USDA (US Dep. Agric.), USFS (US For. Serv.) 2020. Aerial Firefighting Use and Effectiveness (AFUE) report Rep., US Dep. Agric., US For. Serv., March Washington, DC: https://www.fs.usda.gov/managing-land/fire/aviation/afue
  155. Venn TJ, Calkin DE. 2011. Accommodating non-market values in evaluation of wildfire management in the United States: challenges and opportunities. Int. J. Wildland Fire 20:3327–39
    [Google Scholar]
  156. Warziniack T, Champ P, Meldrum J, Brenkert-Smith H, Barth CM, Falk LC. 2019a. Responding to risky neighbors: testing for spatial spillover effects for defensible space in a fire-prone WUI community. Environ. Resour. Econ. 73:41023–47
    [Google Scholar]
  157. Warziniack T, Sims C, Haas J. 2019b. Fire and the joint production of ecosystem services: a spatial-dynamic optimization approach. For. Policy Econ 107:101926
    [Google Scholar]
  158. Warziniack T, Thompson M. 2013. Wildfire risk and optimal investments in watershed protection. West. Econ. Forum 12:219–28
    [Google Scholar]
  159. Wei YW, Rideout DR, Kirsch AK. 2008. An optimization model for locating fuel treatments across a landscape to reduce expected fire losses. Can. J. For. Res. 38:4 https://doi.org/10.1139/X07-162
    [Crossref] [Google Scholar]
  160. Wibbenmeyer M, Anderson SE, Plantinga AJ 2019. Salience and the government provision of public goods. Econ. Inq. 57:31547–67
    [Google Scholar]
  161. Wolters EA, Steel BS, Weston D, Brunson M. 2017. Determinants of residential Firewise behaviors in Central Oregon. Soc. Sci. J. 54:2168–78
    [Google Scholar]
  162. Wong SD, Chorus CG, Shaheen SA, Walker JL. 2020. A revealed preference methodology to evaluate regret minimization with challenging choice sets: a wildfire evacuation case study. Travel Behav. Soc. 20:331–47
    [Google Scholar]
  163. Yoder J. 2004. Playing with fire: endogenous risk in resource management. Am. J. Agric. Econ. 86:4933–48
    [Google Scholar]
  164. Yoder J. 2008. Liability, regulation, and endogenous risk: the incidence and severity of escaped prescribed fires in the United States. J. Law Econ. 51:2297–325
    [Google Scholar]
  165. Yoder J. 2012. Fuel for the fire: liability and the economics of wildfire risk. See Bradshaw & Lueck 2012 50–70
  166. Yoder J, Gebert K. 2012. An econometric model for ex ante prediction of wildfire suppression costs. J. For. Econ. 18:176–89
    [Google Scholar]
  167. Yoder J, Tilley M, Engle D, Fuhlendorf S. 2003. Economics and prescribed fire law in the United States. Appl. Econ. Perspect. Pol. 25:1218–33
    [Google Scholar]
  168. Young JD, Thode AE, Huang C-H, Ager AA, Fulé PZ. 2019. Strategic application of wildland fire suppression in the southwestern United States. J. Environ. Manag. 245:504–18
    [Google Scholar]
/content/journals/10.1146/annurev-resource-111920-014804
Loading
/content/journals/10.1146/annurev-resource-111920-014804
Loading

Data & Media loading...

Supplemental Material

Supplementary Data

  • Article Type: Review Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error