Simulating future residential property losses from wildfire in Flathead County, Montana

Advances in Environmental Research

Volumn 33, Issue , 2014, Pages 1-40

  Prato, Tony ^a   Paveglio, Travis ^b   Barnett, Yan ^a   Silverstein, Robin ^c   Hardy, Michael ^a   Keane, Robert ^c   Loehman, Rachel ^c   Clark, Anthony ^d   Fagre, Dan ^e   Venn, Tyron ^f   Stockmann, Keith ^c  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF IDAHO   (United States)

^c ROCKY MOUNTAIN RESEARCH STATION   (United States)

^d St Louis Community College ^*  (United States)

^e U S GEOLOGICAL SURVEY   (United States)

^f UNIVERSITY OF MONTANA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMICS; FIRES; FORESTRY; HOUSING; INTERFACE STATES; LAND USE; RISK ASSESSMENT;

BIOPHYSICAL FACTORS; ECONOMIC GROWTHS; INTERACTING PROCESS; METHODOLOGICAL FRAMEWORKS; PRIVATE RESIDENCE; RESIDENTIAL STRUCTURES; SIMULATION FRAMEWORK; WILDLAND URBAN INTERFACE;

CLIMATE CHANGE;

EID: 84928947105     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (122)

1. National Interagency Fire Center (NIFC). Wildland Fire Summary Statistics Annual Report, 2011 at http://www.predictiveservices.nifc.gov/intelligence/2011_statssumm/intro_summary.pdf.
2. P. Gude, R. Rasker and Jvd. Noort. Potential for future development on fire-prone lands. J. For. 106, 198-205 (2008).
3. A. Bar Massada, V. C. Radeloff, S. I. Stewart and T. J. Hawbaker. Wildfire risk in the wildland-urban interface: A simulation study in the northwestern Wisconsin. For. Ecol. Manage. 258, 1990-99 (2009).
4. A. Bar Massada, E. M. Wood, A. M. Pidgeon and V. C. Radeloff. Allocating fuel breaks for optimal protection of structures in the wildland-urban interface. Int. J. Wildland Fire 20, 59-68 (2011).
5. M. A. Finney. The challenge of quantitative risk analysis for wildland fire. For. Ecol. Manage. 211, 97-108 (2005).
6. R. C. Haight, D. T. Cleland, R. B. Hammer, V. C. Radeloff and T. S. Rupp. Assessing fire risk in the wildland-urban interface. J. For. 102, 41-48 (2004).
7. R. E. Keane, G. J. Cary and M. D. Flannagan. Challenges and needs in fire management: A landscape simulation modeling perspective. In: C. Li, R. Lafortezza and J. Chen J (eds), Landscape Ecology in Forest Management and Conservation: Challenges and Solutions for Global Change, pp. 75-98. Springer, Higher Education Press, Beijing, China (2011).
8. E. D. Reinhardt, R. E. Keane, D. E. Calkin and J. D. Cohen. Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States. For. Ecol. and Manage. 256, 1997-2006 (2008).
9. M. P. Thompson, D. E. Calkin, J. W. Gilbertson-Day and A. A. Ager. Advancing effects analysis for integrated, large-scale wildfire risk assessment. Environ. Monit. and Assess. 179, 217-39 (2011).
10. Government Accountability Office (GAO). Wildland fire management: Federal agencies have taken important steps forward, but additional action is needed to address remaining challenges. GAO-09-906-T, Washington, DC (2009).
11. Wildland Fire Leadership Council. National cohesive wildland fire management strategy. USDA and USDI, 2012 at http://www.forestsandrangelands.gov/strategy/index.shtml.
12. D. E. Calkin, M. P. Thompson, M. A. Finney and K. D. Hyde. A real-time risk assessment tool supporting wildland fire decision making. J. For. 109, 274-80 (2011).
13. M. P. Thompson, D. E. Calkin, M. A. Finney, A. A. Ager and J. W. Gilbertson-Day. Integrated national-scale assessment of wildfire risk to human and ecological values. Stoch. Environ. Res. and Risk Assess. 25, 761-80 (2011).
14. T. P. Barnett, T. P. Barnett, D. W. Pierce1, H. G. Hidalgo1, C. Bonfils, B. D. Santer, T. Das, G. Bala, A. W. Wood, T. Nozawa, A. A. Mirin, D. R. Cayan, and M. D. Dettinger. Human-induced changes in the hydrology of the Western United States. Sci. 319, 1080-83 (2008).
15. M. L. Parry, O. F. Canziani, J. P. Palutikof, C. E. Hanson and P. J. Van der Linden (eds). Climate change 2007. Impacts, adaptation and vulnerability. Contribution of working group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK (2007).
16. A. L. Westerling, B. P. Bryant, H. K. Preisler, T. P. Holmes, H. G. Hidalgo, T. Das and S. R. Shrestha. Climate change and growth scenarios for California wildfire. Clim. Change 109, 445-63 (2011).
17. L. Yin. Modeling cumulative effects of wildfire hazard policy and exurban household location choices: An application of agent-based simulations. Plann. Theory and Pract. 11, 375-96 (2010).
18. S. F. Arno and S. Allison-Bunnel. Flames in our Forest: Disaster or Renewal? Island Press, Washington, DC (2002).
19. US Department of Agriculture and US Department of the Interior (USDA and USDI). Quadrennial Fire Review 2009: Final report, 2009 at http://www.nifc.gov/PUBLICATIONS/QFR/QFR2009Final.pdf.
20. D. M. Theobald and W. Romme. Expansion of the wildland-urban interface and wildfire mitigation in the United States. Landscape and Urban Plann. 83, 340-354 (2007).
21. US Department of Agriculture and US Department of the Interior (USDA and USDI). Urban wildland interface communities within the vicinity of federal lands that are at high risk from wildfire. Federal Register, August 17, pp. 43384-43435 (2001).
22. D. E. Calkin, K. M. Gerbert, J. G. Jones and R. P. Neilson. Forest Service large fire area burned and suppression expenditure trends, 1970-2002. J. For. 103, 179-83 (2005).
23. M. P. Dombeck, J. E. Williams and C. A. Wood. Wildfire policy and public lands: integrating scientific understanding with social concerns across landscapes. Conserv. Biol. 18, 883-89 (2004).
24. General Accounting Office. Western national fires: a cohesive strategy is needed to address catastrophic wildfire threats. US General Accounting Office, House of representatives, Committee on Resources, Report to the Subcommittee on Forests and Forest Health, RCED-99-Cl65, Washington, DC (1999).
25. W. S. Keeton, P. W. Mote and J. F. Franklin. Climate variability, climate change, and western wildfire with implications for the urban-wildland interface. In: Living on the Edge: Economic, Institutional and Management Perspectives on Wildfire Hazard in the Urban Interface. Volume 6, Advances in the Economics of Environmental Resources, pp. 225-53. Elsevier Ltd., Amsterdam, The Netherlands (2007).
26. J. J. Cohrssen and V. T. Covello. Risk analysis: A guide to principles and methods for analyzing health and environmental risks. US Department of Commerce, National Technical Information Service, Washington, DC (1989).
27. The Presidential/Congressional Commission on Risk Assessment and Risk Management. Risk assessment and risk management in regulatory decision making. Final Report of the Commission to Congress, Vol. 2 (1997).
28. W. D. Rowe. An Anatomy of Risk. US Environmental Protection Agency, Washington, DC (1975).
29. G. W. Suter (ed). 1993. Ecological Risk Assessment. Lewis Publishers, Boca Raton, FL.
30. C. Miller, P. B. Landers and P. B. Layback. Evaluating the risks and benefits of wildland fire at landscape scales. In: L. F. Neuenschwander and K. C. Ryan (tech. cords.) Proceeding of conference, Crossing the millennium: integrating spatial technologies and ecological principles for a new age in fire management. Joint Fire Science Conference and Workshop, pp. 78-87. University of Idaho, Boise, ID (2000).
31. A. Black and T. Opperman. Fire effects planning framework: a user's guide Gen. Tech. Rep. GTR-RMRS-163WWW. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 63 p. (2005).
32. D. E. Calkin, A. Ager and J. Gilbertson-Day. (eds). Wildfire risk and hazard: procedures for the first approximation. Gen. Tech. Rep. RMRS-GT-235. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO. 62 p. (2010).
33. D. C. Calkin, M. A. Finney, A. Ager, M. P. Thompson and K. M. Gerbert. Progress towards and barriers to implementation of a risk framework for US federal wildland fire policy and decision making. For. Policy and Econ. 13, 378-89 (2011).
34. A. Prato, R. Keane and D. Fagre. Assessing and managing wildfire risk in the wildlandurban interface. In: Ecosystem Ecology Research Trends, pp. 275-97. Nova Science Publishers, Hauppauge, New York (2008).
35. M. A. Finney, I. C. Grenfell, C. W. McHugh, R. C. Seli, D. Trethewey, R. D. Stratton and S. Brittain. Environ. Model. Assess. 16, 153-67 (2011).
36. R. E. Keane, R. A. Loehman and L. M. Holsinger. The FireBGCv2 landscape fire and succession model: a research simulation for exploring fire and vegetation dynamics. Gen. Tech. Rep. RMRS-GTR-255. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO (2011).
37. H. S. He. Forest landscape models: Definitions, characterizations, and classification. For. Ecol. Manage. 254, 484-98 (2008).
38. R. E. Keane, G. J. Cary, I. D. Davies, M. D. Flannigan, R. H. Gardner, S. Lavorel, J. M. Lenihan, C. Li and S. T. Rupp. A classification of landscape fire succession models: spatial simulations of fire and vegetation dynamics. Ecol. Modell. 179, 3-27 (2004).
39. R. M. Scheller and D. J. Mladenoff. An ecological classification of forest landscape simulation models: tools and strategies for understanding broad-scale forested ecosystems. Landscape Ecol. 22, 491-505 (2007).
40. R. F. Noss, J. F. Franklin, W. L. Baker, T. Schoennagel and P. B. Moyle. Managing fire-prone forests in the western United States. Front. in Ecol. and Environ. 4, 481-87 (2006).
41. R. B. Hammer, S. I. Stewart and V. C. Radeloff. Demographic trends, the wildlandurban interface, and wildfire management. Soc. and Nat. Resour. 22, 777-82 (2009).
42. R. V. Platt. The wildland-urban interface: Evaluating the definition effect. J. For. 108, 9-15 (2010).
43. S. I. Stewart, V. C. Radeloff, R. B. Hammer and T. J. Hawbaker. Defining the wildland-urban interface. J. For. 105, 201-07 (2007).
44. R. B. Hammer, V. C. Radeloff, J. S. Fried and S. I. Stewart. Wildland-urban interface housing growth during the 1990s in California, Oregon and Washington. Int. J. Wildland Fire 16, 255-65 (2007).
45. B. Wilmer and G. H. Aplet. Targeting the community fire planning zone: mapping matters. The Wilderness Society, Washington, DC, 2005 at http://wilderness.org/content/targeting-community-fire-planning-zone-mapping-matters.
46. J. L. Beverly, P. Bothwell, J. C. R. Conner and E. P. K. Herd. Assessing the exposure of the built environment to potential ignition sources generated from vegetative fuel. Int. J. Wildland Fire 19, 299-313 (2010).
47. D. M. Theobald and W. Romme. Expansion of the wildland-urban interface and wildfire mitigation in the United States. Landscape and Urban Plann. 83, 340-54 (2007).
48. A. A. Ager, N. M. Vaillant and M. A. Finney. A comparison of landscape fuel treatment strategies to mitigate wildland fire risk in the urban interface and preserve old forest structure. For. Ecol. Manage. 259, 1556-70 (2010).
49. V. Spyratos, P. S. Bourgeron and M. Ghil. Development at the wildland-urban interface and the mitigation of forest-fire risk. Proc. Natl. Acad. Sci. 104, 14272-76 (2007).
50. K. Stockmann, J. Burchfield, D. Calkin and T. Venn. Guiding preventative wildland fire mitigation policy and decisions with an economic modeling system. For. Policy and Econ. 12, 147-54 (2010).
51. P. Gibbons, L. van Bommel, A. M. Gill, G. J. Cary, D. A. Driscoll, R. A. Bradstock, E. Knight, M. A. Moritz, S. L. Stephens and D. B. Lindenmayer. Land management practices associated with house loss in wildfires. PLoS ONE 7, e29212 (2012).
52. R. V. Platt. A model of exurban land-use change and wildfire mitigation. Envir. and Plann. B: Plann. and Des. 33, 749-65 (2006).
53. A. D. Syphard, K. C. Clarke and J. Franklin. Simulating fire frequency and urban growth in southern California coastal shrublands, US. Landscape Ecol. 22, 431-45 (2007).
54. U. Bhandary and B. Muller. Land use planning and wildfire risk mitigation: an analysis of wildfire-burned subdivisions using high-resolution remote sensing imagery and GIS data. J. Environ. Plann. and Manage. 52, 939-55 (2009).
55. US Forest Service Rocky Mountain Research Station. Rapid assessment of values at risk. 2011 at http://www.fs.fed.us/rm/wfdss_ravar/ravar/index.shtml.
56. T. Schoennagel, C. R. Nelson, D. M. Theobald, G. C. Carnwath and T. B. Chapman. Implementation of National Fire Plan treatments near the wildland-urban interface in the western United States. Proc. Natl. Acad. Sci. 106, 10706-711 (2009).
57. J. D. Cohen. Structure Ignition Assessment Modal (SIAM). In: D. R. Weise and R. E. Martin (Tech. Coord.), The Biswell Symposium: Fire Issues and Solutions in Urban Interface and Wildland Ecosystems, pp. 85-92. USDA Forest Service, Gen. Tech. Rep. PSW-GTR-158, 1994 at http://www.nps.gov/fire/download/pub_pub_SIAM.pdf.
58. J. Cohen. Preventing disaster-home ignitability in the wildland-urban interface. J. For. 98, 15-21 (2000).
59. J. D. Cohen. The wildland-urban interface fire problem. For. History Today Fall 20, 6 (2008).
60. D. T. Butry. Fighting fire with fire: estimating the efficacy of wildfire mitigation programs using propensity scores. Environ. Ecol. Stat. 16, 291-319 (2009).
61. T. J. Venn and D. E. Calkin. Challenges of socio-economically evaluating wildfire management on non-industrial private and public forestland in the western United States. Small-scale For. 8, 43-61 (2009).
62. D. E. Mercer, J. P. Prestmon, D. T. Butry and J. M. Pye. Evaluating alternative prescribed burning policies to reduce net economic damages from wildfire. Amer. J. Agric. Econ. 89, 63-77 (2007).
63. D. T. Butry, J. P. Prestemon, K. L. Abt and R. Sutphen. 2010. Economic optimization for wildfire intervention activities. Int. J. Wildland Fire 19, 659-72 (2010).
64. A. Rytwinski and K. A. Crowe. A simulation-optimization model for selecting the location of fuel-breaks to minimize expected losses from forest fires. For. Ecol. and Manage. 260, 1-11 (2010).
65. G. Busby and H. J. Albers. Wildfire risk management on a landscape with public and private ownership: Who pays for protection? Environ. Manage. 45, 296-310 (2010).
66. D. Butry and G. Donovan. Protect thy neighbor: Investigating the spatial externalities of community wildfire hazard mitigation. For. Sci. 54, 417-428 (2008).
67. A. L. Westerling and B. P. Bryant. Climate change and wildfire in California. Clim. Change 87, S231-S249 (2008).
68. S. Rosen. Hedonic prices and implicit markets: produce differentiation in perfect competition. J. Polit. Econ. 82, 34-55 (1974).
69. J. Loomis. Do nearby forest fires cause a reduction in residential property values? J. For. Econ. 10, 149-57 (2004).
70. PricewaterhouseCoopers. Economic study of the Los Alamos post fire residential real estate market, pp. 1-35. Prepared for the Federal Emergency Management Agency by the Office of Cerro Grande Fire Claims (2001).
71. K. M. Stetler, T. J. Venn and D. E. Calkin. The effects of wildfire and environmental amenities on property values in northwest Montana, US. Ecol. Econ. 69, 2233-43 (2010).
72. P. A. Champ, G. H. Donovan C. M. Barth. Homebuyers and wildfire risk: a Colorado Springs case study. Soc. and Nat. Resour. 23, 58-70 (2010).
73. G. H. Donovan, P. A. Champ and D. T. Butry. Wildfire risk and housing prices: A case study from Colorado Springs. Land Econ. 83, 217-33 (2007).
74. J. M. Mueller, J. B. Loomis and A. Gonzalez-Caban. 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, 115-72 (2009).
75. US Census Bureau. 2011a. State and County QuickFacts, 2011 at http://quickfacts.census.gov.
76. US Census Bureau. 2011b. Resident population data, US Census 2010, at 2011 http://2010.census.gov/2010census/data/apportionment-pop-text.php.
77. NPA Data Services. Regional economic projections series for Montana. Arlington, VA (2003).
78. Flathead County Growth Policy. Chapter 2: Land uses, 2007 at http://flathead.mt.gov/planning_zoning/growthpolicy/Chapterpercent202percent20Aprilpercent2010.pdf.
79. R. Rasker, J. Dixon and M. Glyde. Wildfire costs will soar if building trends continue. Headwaters Economics, Bozeman, MT, at 2007 www.headwaterseconomics.org/wildfire/
80. G. T. Pederson, L. J. Graumlich, D. B. Fagre, T. Kipfer and C. C. Muhlfeld. A century of climate and ecosystem change in Western Montana: what do temperature trends portend? Clim. Change 98, 133-54 (2010).
81. GCS Research. WUI methodology for Flathead County. Unpublished manuscript (2010).
82. GCS Research. Flathead County community wildfire fuels reduction/mitigation plan. Missoula, MT (2005).
83. Montana Cadastral. 2010 at http://svc.mt.gov/msl/mtcadastral.
84. Federal Housing Finance Agency. 2010. House Price Index News Release. http://www.fhfa.gov/webfiles/15454/finalHPI22510.pdf (July 2010).
85. T. Prato, Y. Barnett, A. Clark and T. Paveglio. Improving simulation of land use change in a region of the Rocky Mountain West. In: C. Aubrecht, S. Freire and K. Steinnocher (eds), Land Use: Planning, Regulations, and Environment. Nova Science Publishers, Inc., Hauppauge, NY, pp. 189-210 (2012).
86. Minnesota IMPLAN Group, Inc. 2010. IMPLAN System (data and software). Stillwater, MN, 2011 at http://www.implan.com.
87. T. Prato, A. S. Clark, K. Dolle and Y. Barnett. Evaluating alternative economic growth rates and land use policies for Flathead County, Montana. Landscape and Urban Plann. 83, 327-39 (2007).
88. S. I. Stewart, V. C. Radeloff and R. B. Hammer. Characteristics and location of the wildland-urban interface in the United States. In: Proceedings of the Second International Wildland Fire Ecology and Fire Management Workshop, Orlando, FL, November 16-20 (2003).
89. V. C. Radeloff, R. B. Hammer, S. I. Stewart, J. S. Fried, S. S. Holcomb, J. F. McKeefrey The wildland-urban interface in the United States. Eco. Appli., 15, 799-805 (2005).
90. D. E. Calkin, J. D. Rieck, K. D. Hyde and D. Kaiden. Built structure identification in wildland fire decision support. Int. J. Wildland Fire 20, 78-90 (2011).
91. Montana Base Map Service Center. MSDI Framework GIS Data: Structures, 2012 at http://giscoordination.mt.gov/data.asp#Cadastral.
92. S. I. Stewart, B. Wilmer, R. B. Hammer, G. H. Aplet, T. J. Hawbaker, C. Miller and V. C. Radeloff. Wildland-urban interface maps vary with purpose and context. J. For. 107, 78-83 (2009).
93. US Department of Agriculture and US Department of the Interior (USDA and USDI). Urban wildland interface communities within the vicinity of federal lands that are at high risk from wildfire, pp. 43384-435. Federal Register, August 17 (2001).
94. rd ed). John Wiley and Sons, Hoboken, New Jersey (2009).
95. Firewise Communities US. Information and Resources: Homeowners, 2011 at http://www.firewise.org/Information/Who-is-this-for/Homeowners.aspx.
96. National Fire Protection Agency (NFPA). NFPA 1144: Standard for reducing structure ignition hazards from wildland fire. National Fire Protection Association, Quincy, MA (2013).
97. R. E. Keane, K. C. Ryan and S. W. Running. Simulating the effect of fires on northern Rocky Mountain landscapes using the ecological process model FIRE-BGC. Tree Physiol. 16, 319-31 (1996).
98. R. E. Keane, K. C. Ryan and M. Finney. Simulating the consequences of altered fire regimes on a complex landscape in Glacier National Park, US. Tall Timbers Fire Ecol. Conference 20, 310-24 (1998).
99. R. A. Loehman, A. Corrow and R. E. Keane. Modeling climate change and disturbance interactions: Effects on whitebark pine (Pinus albicaulis) and implications for restoration, Glacier National Park, Montana, US. In: R. E. Keane, D. F. Tomback, M. P. Murray and C. Smith (eds), The future of high-elevation, five-needle white pines in Western North America, Proceedings of the High Five Symposium, pp. 176-89. USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO. Proceedings RMRS-P-63 (2011).
100. R. E. Keane, C. Hardy, K. Ryan and M. Finney. Simulating effects of fire management on gaseous emissions from future landscapes of Glacier National Park, Montana, US. World Resour. Rev. 9, 177-205 (1997).
101. R. E. Keane, P. Morgan and J. D. White. Temporal pattern of ecosystem processes on simulated landscapes of Glacier National Park, US. Landscape Ecol. 14, 311-29 (1999).
102. R. A. Loehman, J. A. Clark and R. E. Keane. Modeling effects of climate change and fire management on western white pine (Pinus monticola) in the Northern Rocky Mountains, US. Forests 2, 832-60 (2011).
103. M. G. Rollins. LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment. Int. J. Wildland Fire 18, 235-49 (2009).
104. R. D. Ottmar, R. E. Vihnanek and C. S. Wright. Stereo photo series for quantifying natural fuels. Volume I: Mixed-conifer with mortality, western juniper, sagebrush, and grassland types in the interior Pacific Northwest. PMS 830. National Wildfire Coordinating Group, National Interagency Fire Center, Boise, ID (1998).
105. R. D. Ottmar, R. E. Vihnanek and C. S. Wright. Stereo photo series for quantifying natural fuels. Volume III: Lodgepole pine, quaking aspen, and gambel oak types in the Rocky Mountains. PMS 832. National Wildfire Coordinating Group, National Interagency Fire Center, Boise, ID (2000).
106. R. D. Ottmar, R. E. Vihnanek and C. S. Wright. Stereo photo series for quantifying natural fuels. Volume X: sagebrush with grass and ponderosa pine-juniper types in central Montana. Gen. Tech. Rep. PNW-GTR-719, USDA Forest Service, Pacific Northwest Research Station, Portland, OR (2007).
107. M. A. Finney, R. C. Seli, C. W. McHugh, A. Ager, B. Bernhard and J. K. Agee. Simulation of long-term landscape-level fuel treatment effects on large wildfires. Int. J. Wildland Fire 16, 712-27 (2007).
108. R. D. Hungerford, R. R. Nemani, S. W. Running and J. C. Couglan. MTCLIM: A mountain microclimate simulation model. Gen. Tech. Rep. INT-414: 52. USDA Forest Service, Intermountain Research Station, Ogden, UT (1989).
109. Intergovernmental Panel on Climate Change (IPCC). Climate Change: 2007 Report, Summary for Policy Makers at 2014 http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr_spm.pdf.
110. S. M. McGinn, A. Toure, O. O. Akinremi, D. J. Major and A. G. Barr. Agroclimate and crop response to climate change in Alberta, Canada. Outlook on Agric. 28, 19-28 (1999).
111. T. Prato, Z. Qiu, G. Pederson, D. Fagre, L. Bengtson and J. Williams. Potential economic benefits of adapting agricultural production systems to future climate change. Environ. Manage. 45, 577-89 (2010).
112. P. Mote. CLIMET Downscaled HadCM3 Model Output, SRES A2 and B2, Northern Rocky Mountain Region. Climate Impacts Group, Center for Science in the Earth System, University of Washington, Seattle, WA, US. Personal Communication (2003).
113. N. Nakicenovic and R. Swart (eds). Special Report on Emissions Scenarios: A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK (2000).
114. M. A. Finney, C. W. McHugh, I. Grenfell and K. L. Riley. Continental-scale simulation of burn probabilities, flame lengths, and fire size distribution for the United States. In: D. X. Viegas (ed.), Proceedings of the VI International Conference on Forest Fire Research, University of Coimbra, Coimbra, Portugal, 15-18 November, 12 p. (2010).
115. M. A. Finney. Fire growth using minimum travel time methods. Can. J. For. Res. 32, 1420-24 (2002).
116. C. S. Olsen and B. A. Shindler. Trust, acceptance, and citizen-agency interactions after large fires: influences on planning processes. Int. J. Wildland Fire 19, 137-47 (2010).
117. J. K. Agee. Fire Ecology of Pacific Northwest Forests. Island Press, Washington, DC (1993).
118. P. Morgan, C. C. Hardy, T. W. Swetnam, M. G. Rollins and D. G. Long. Mapping fire regimes across time and space: Understanding coarse and fine-scale patterns. Int. J. Wildland Fire 10, 329-42 (2001).
119. T. W. Collins. Influences on wildfire hazard exposure in Arizona's high country. Soc. and Nat. Resour. 22, 211-29 (2009).
120. S. L. Cutter, L. Barnes, M. Berry, C. Burton, E. Evans, E. Tate and J. Webb. A placebased model for understanding community resilience to natural disasters. Global Environ. Change 18, 598-606 (2008).
121. R. Ojerio, C. Moseley, K. Lynn and N. Bania. Limited involvement of socially vulnerable populations in federal programs to mitigate wildfire risk in Arizona. Nat. Hazards Rev. 12, 28-36 (2011).
122. B. Edmonds. Bootstrapping knowledge about social phenomena using simulation models. J. Artificial Soc. and Social Simul. 13, 8, 2010 at http://jasss.soc.surrey.ac.uk/13/1/8.html.