Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Economic optimisation of wildfire intervention activities

David T. Butry A D , Jeffrey P. Prestemon B , Karen L. Abt B and Ronda Sutphen C
+ Author Affiliations
- Author Affiliations

A Office of Applied Economics, Building and Fire Research Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Mail Stop 8603, Gaithersburg, MD 20899-8603, USA.

B Southern Research Station, Forestry Sciences Laboratory, PO Box 12254, Research Triangle Park, NC 27709, USA. Email: jprestemon@fs.fed.us; kabt@fs.fed.us

C Florida Division of Forestry, Department of Agriculture and Consumer Services, 3125 Conner Boulevard, Tallahassee, FL 32399-1650, USA. Email: sutpher@doacs.state.fl.us

D Corresponding author. Email: david.butry@nist.gov

International Journal of Wildland Fire 19(5) 659-672 https://doi.org/10.1071/WF09090
Submitted: 19 August 2009  Accepted: 7 April 2010   Published: 9 August 2010

Abstract

We describe how two important tools of wildfire management, wildfire prevention education and prescribed fire for fuels management, can be coordinated to minimise the combination of management costs and expected societal losses resulting from wildland fire. We present a long-run model that accounts for the dynamics of wildfire, the effects of fuels management on wildfire ignition risk and area burned, and the effects of wildfire prevention education on the ignition risk of human-caused, unintentional wildfires. Based on wildfire management activities in Florida from 2002 to 2007, we find that although wildfire prevention education and prescribed fire have different effects on timing and types of fires, the optimal solution is to increase both interventions. Prescribed fire affects whole landscapes and therefore reduces losses from all wildfire types (including lightning), whereas wildfire prevention education reduces only human-caused ignitions. However, prescribed fire offers a longer-term solution with little short-term flexibility. Wildfire prevention education programs, by comparison, are more flexible, both in time and space, and can respond to unexpected outbreaks, but with limited mitigation longevity. Only when used together in a coordinated effort do we find the costs and losses from unintentional wildfires are minimised.

Additional keywords: fire economics, hazard mitigation, wildland–urban interface, wildland fire.


References


Bradshaw WG (1988) Fire protection in the wildland/urban interface: who plays what role? Fire Technology  24(3), 195–203.
Crossref | GoogleScholarGoogle Scholar | Butry DT, Pye JM, Prestemon JP (2002) Prescribed fire in the interface: separating the people from the trees. In ‘Proceedings of the Eleventh Biennial Southern Silvicultural Research Conference’. (Ed. KW Outcalt) pp. 132–136. USDA Forest Service, Southern Research Station, General Technical Report SRS-48. (Asheville, NC)

Cleaves DA, Martinez J, Haines TK (2000) Influences on prescribed burning activity and costs in the national forest system. USDA Forest Service, Southern Research Station, General Technical Report SRS-37. (Asheville, NC)

Donovan GH (2006) Determining the optimal mix of federal and contract fire crews: a case study from the Pacific North-west. Ecological Modelling  194(4), 372–378.
Crossref | GoogleScholarGoogle Scholar | Florida Department of Revenue (2008) Tax collections from July 2003. Available at http://dor.myflorida.com/dor/taxes/colls_from_7_2003.html [Verified 5 December 2008]

Fosberg MA (1978) Weather in wildland fire management: the Fire Weather Index. In ‘Proceedings of the Conference on Sierra Nevada Meteorology’, 19–21 June 1978, Lake Tahoe, CA. pp. 1–4. (American Meteorological Society: Boston, MA)

Goodrick SL (2002) Modification of the Fosberg fire weather index to include drought. International Journal of Wildland Fire  11, 205–221.
Crossref | GoogleScholarGoogle Scholar | Keetch JJ, Byram GM (1968) A drought index for forest fire control. USDA Forest Service, Southeastern Forest Experiment Station, Research Paper SE-38. (Asheville, NC)

Kim YH, Bettinger P , Finney M (2009) Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires. European Journal of Operational Research  197(1), 253–265.
Crossref | GoogleScholarGoogle Scholar | Mercer DE, Haight RG, Prestemon JP (2008) Analyzing trade-offs between fuels management, suppression, and damages from wildfire. In ‘The Economics of Forest Disturbances: Wildfires, Storms, and Invasive Species’. (Eds TP Holmes, JP Prestemon, KL Abt) pp. 247–272. (Springer: Dordrecht, the Netherlands)

Minciardi R, Sacile R , Trasforini E (2009) Resource allocation in integrated preoperational and operational management of natural hazards. Risk Analysis  29(1), 62–75.
Crossref | GoogleScholarGoogle Scholar | PubMed | National Oceanic and Atmospheric Administration (2008) El Niño–Southern Oscillation sea surface temperatures. Available at ftp.cpc.ncep.noaa.gov/wd52dg/data/indices/sstoi.indices [Verified 8 December 2008]

Outcalt KW , Wade DD (2004) Fuels management reduces tree mortality from wildfires in south-eastern United States. Southern Journal of Applied Forestry  28, 28–34.
US Bureau of the Census (2008) Population estimates. Available at http://www.census.gov/popest/counties/ [Verified 2 June 2008]

US Department of Commerce (2008) Consumer price index for all urban consumers, not seasonally adjusted, monthly. Available at http://146.142.4.24/ [Verified 5 February 2008]

Wei Y, Rideout D , Kirsch A (2008) An optimization model for locating fuel treatments across a landscape to reduce expected fire losses. Canadian Journal of Forest Research  38(4), 868–877.
Crossref | GoogleScholarGoogle Scholar |

Yoder J (2004) Playing with fire: endogenous risk in resource management. American Journal of Agricultural Economics  86(4), 933–948.
Crossref | GoogleScholarGoogle Scholar |




A Prevention success may affect fuels, and thereby, indirectly affect wildfire size. We address this negative feedback below.

B These include debris fire escapes, campfire escapes, and fires caused by discarded cigarettes and by children. We ignore other kinds of unintentional fire starts (such as equipment and railroad fires) because they are not the focus of wildfire prevention education, and we ignore arson because its occurrence is affected by a different combination of managerial (and law enforcement) actions (e.g. Prestemon and Butry 2005).

C This figure assumes a constant cost plus loss per hectare of wildfire. An alternative assumption, allowing costs plus losses to have a fixed cost per fire and a variable cost per hectare burned, was not testable with the available data.

D A program focussing on private lands would require a prescribed fire incentive program, which we did not evaluate in this study.