A review of challenges to determining and demonstrating efficiency of large fire management
Matthew P. Thompson A D , Francisco Rodríguez y Silva B , David E. Calkin C and Michael S. Hand C
+ Author Affiliations
- Author Affiliations
A US Department of Agriculture Forest Service, Rocky Mountain Research Station, 240 West Prospect Road, Fort Collins, CO 80526, USA.
B Department of Forest Engineering, Forest Fire Laboratory, University of Córdoba, Edificio Leonardo da Vinci, Campus de Rabanales, E-14071 Córdoba, Spain.
C US Department of Agriculture Forest Service, Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT 59801, USA.
D Corresponding author. Email: mpthompson02@fs.fed.us
International Journal of Wildland Fire 26(7) 562-573 https://doi.org/10.1071/WF16137
Submitted: 27 July 2016 Accepted: 15 March 2017 Published: 20 April 2017
Journal Compilation © IAWF 2017 Open Access CC BY-NC-ND
Abstract
Characterising the impacts of wildland fire and fire suppression is critical information for fire management decision-making. Here, we focus on decisions related to the rare larger and longer-duration fire events, where the scope and scale of decision-making can be far broader than initial response efforts, and where determining and demonstrating efficiency of strategies and actions can be particularly troublesome. We organise our review around key decision factors such as context, complexity, alternatives, consequences and uncertainty, and for illustration contrast fire management in Andalusia, Spain, and Montana, USA. Two of the largest knowledge gaps relate to quantifying fire impacts to ecosystem services, and modelling relationships between fire management activities and avoided damages. The relative magnitude of these and other concerns varies with the complexity of the socioecological context in which fire management decisions are made. To conclude our review, we examine topics for future research, including expanded use of the economics toolkit to better characterise the productivity and effectiveness of suppression actions, integration of ecosystem modelling with economic principles, and stronger adoption of risk and decision analysis within fire management decision-making.
Additional keywords: decision analysis, economics, risk, uncertainty.
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