Strategic Planning and Budgeting of Wildland Fire Preparedness Programs for Risk Management

Strategic Planning and Budgeting of Wildland Fire Preparedness Programs for Risk Management

D.B. Rideout Yu Wei A.G. Kirsch N. Kernohan 

WESTFIRE Research Center, Department of Forest and Rangeland Stewardship Colorado State University,

Fort Collins, Colorado

US Department of Interior, National Park Service, National Interagency Fire Center, Boise, Idaho

30 June 2016
| Citation



In approaches that were previously used, preparedness planning used tactical modelling of individual fire events and resource deployment. Results from modelling individual fire events were typically gathered to construct a program analysis at the planning unit or at the landscape level. This research deviates from those tactical-based approaches by using strategic modelling to inform planning and budgeting decisions for a preparedness program. In preparedness planning and budgeting, wildland fire officials must consider the dual importance of reducing wildfire risk to highly valued resources (initial attack) and managing for the beneficial effects of wildland fire that can foster resilient fire-adapted ecosystems. This dual purpose requires the employment of a similar set of resources including crews, equipment and planning. Consequently, we address the allocation of a single ‘preparedness’ budget to the dual purpose of initial attack and beneficial wildland fire (BWF) using return on investment (ROI) as the performance metric


beneficial wild fires, initial attack, planning, preparedness, risk, wildland fire


[1] Wei, Y., Bevers, M. & Belval E.J., Designing seasonal initial attack resource deployment and dispatch rules using a two-stage stochastic. Programming procedure. Forest Science, 61(6), pp. 1021–1032, 2015.

[2] United States Congress, FLAME act of 2009, H.R. 2996. In One Hundred Eleventh Congress of the United States of America, 2009.

[3] United States Congress, Healthy forests restoration act of 2003, H.R. In 1904, One Hundred Eight Congress of the United States of America, 2003.

[4] Rideout, D.B., Ziesler, P.S., Kling, R., Loomis, J.B. & Botti, S.J., Estimating rates of substitution for protecting values at risk for initial attack planning and budgeting. Forest Policy and Economics, 10(2), pp. 205–219, 2008.

[5] Manley, J., Rideout, D.B., Wei, Y. & Botti, S.J., STARFire: decision support for strategic integration of wildland fules and unplanned ignitions. In Proceedings of the 3rd Fire Behavior and Fuels Conference, International Association of Wildland Fire, Spokane, WA, 2011.

[6] Rideout, D.B., Ziesler, P.S. & Kernohan, N., Valuing fire planning alternatives in forest restoration: using derived demand to integrate economics with ecological restoration. Journal of Environmental Management, 141, pp. 190–200, 2014.

[7] Mees, R.M., Simulating initial attack with two fire containment models. USDA Forest Service Research Note PSW-378, 1985.

[8] ESRI, ArcGIS Desktop: Release 10.2.2, Redlands, CA: Environmental Systems Research Institute, 2016.

[9] WindNinja, 2016., Retrieved from

[10] Rideout, D.B., Wei, Y. & Kirsch, A., Optimal allocation of initial attack resources to multiple wildfire events. International Journal of Safety and Security Engineering, 1(3), pp. 312–325, 2011.