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A Real-Time Risk Assessment Tool Supporting Wildland Fire Decisionmaking
Abstract
Development of appropriate management strategies for escaped wildland fires is complex. Fire managers need the ability to identify, in real time, the likelihood that wildfire will affect valuable developed and natural resources (e.g., private structures, public infrastructure, and natural and cultural resources). These determinations help guide where and when aggressive suppression is required to protect values and when fire may be allowed to burn to enhance ecosystem conditions. This article describes the primary components of the Wildland Fire Decision Support System (WFDSS), a geospatial decision support system developed by the US Forest Service. WFDSS provides state-of-the-art wildfire risk analysis, decision documentation, and long-term implementation planning. In particular, we describe how the two primary decision support analysis components of WFDSS, Fire Spread Probability (fire behavior) and Rapid Assessment of Values at Risk (resource assessment), fit into the current state of risk assessment tools for wildfire suppression decisionmaking.
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Improving our understanding of how firefighters traverse various landscapes is essential for the assessment of relative egress capacity, estimation of medical evacuation time, mapping of least-cost escape routes, and knowledge of when to trigger an evacuation.
“Improving our understanding of how firefighters traverse various landscapes is essential for the assessment of relative egress capacity [24], estimation of medical evacuation time [44], mapping of least-cost escape routes [34], and knowledge of when to trigger an evacuation [26].”
From Modeling wildland firefighter travel rates by terrain slope: results from GPS-tracking of type 1 crew movement (2020) · cites this paper as [44]
WFDSS data play a critical role in the formulation of ERI.
“Accordingly, we are suggesting that ERI become integrated into existing decision support systems, such as WFDSS-particularly since WFDSS data play such a critical role in the formulation of ERI [32].”
From Escape Route Index: A Spatially-Explicit Measure of Wildland Firefighter Egress Capacity (2019) · cites this paper as [32]
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- AGER, A.A., M.A. FINNEY, B.K. KERNS, AND H. MAFFEI. 2007. Modeling wildfire risk to north- ern spotted owl (Strix occidentalis caurina) habitat in Central Oregon, USA. For. Ecol. Manag. 246(1):45-56.
- AGER, A.A., N.M. VALLIANT, AND M.A. FINNEY. 2010. A comparison of landscape fuel treat- ment strategies to mitigate wildland fire risk in the urban interface and preserve old forest structure. For. Ecol. Manag. 259(8):1556 - 1570.
- AMACHER, G.S., A.S. MALIK, AND R.G. HAIGHT. 2005. Not getting burned: The importance of fire prevention in forest management. Land Econ. 81(2):284 -302.
- CALKIN, D.E., K.M. GEBERT, J.G. JONES, AND R.P. NEILSON. 2005. Forest Service large fire area burned and suppression expenditure trends, 1970 -2002. J. For. 103(4):179 -183.
- DOMBECK, M.P., J.E. WILLIAMS, AND C.A. WOOD. 2004. Wildfire policy and public lands: Integrating scientific understanding with social concerns across landscapes. Con- serv. Biol. 18(4):883-889.
- DONOVAN, G.H., AND D.B. RIDEOUT. 2003. An integer programming model to optimize re- source allocation for wildfire containment. For. Sci. 49(2):331-335.
- FAIRBROTHER, A., AND J.G. TURNLEY. 2005. Pre- dicting risks of uncharacteristic wildfires: Ap- plication of the risk assessment process. For. Ecol. Manag. 211(1-2):28 -35.
- FINNEY, M.A. 2002. Fire growth using minimum travel time methods. Can. J. For. Res. 32(8): 1420 -1424.
- FINNEY, M.A. 2005. The challenge of quantita- tive risk analysis for wildland fire. For. Ecol. Manag. 211(1-2):97-108.
- HAIGHT, R.G., AND J.S. FRIED. 2007. Deploying wildland fire suppression resources with a sce- nario-based standard response model. Inform. Syst. Oper. Res. 45(1):31-39.
- KONOSHIMA, M., C.A. MONTGOMERY, H.J. AL- BERS, AND J.L. ARTHUR. 2008. Spatial-endoge- nous fire risk and efficient fuel management and timber harvest. Land Econ. 84(3):449 -468.
- MACLELLAN, J.I., AND D.L. MARTELL. 1996. Bas- ing airtankers for forest fire control in Ontario. Oper. Res. 44(5):677-686.
- MCDANIELS, J. 2007. Calculated Risk. Wildfire Mag. 16(2):18 -25.
- MCDANIELS, J. 2009. Applied Science. Wildfire Mag. 18(2):20 -29.
- NATIONAL RESEARCH COUNCIL (NRC). 2007. Successful response starts with a map: Improving geospatial support for disaster management. Committee on Planning for Catastrophe: A blueprint for improving geospatial data, tools, and infrastructure. National Academics Press, Washington, DC. 198 p. (ISBN: 0-309- 66624-4.
- REED, W.J. 1984. The effects of the risk on the optimal rotation of a forest. J. Environ. Econ. Manag. 11(2):180 -190.
- REED, W. J. 1987. Protecting a forest against fire: Optimal protection patterns and harvest poli- cies. Nat. Resour. Model. 2(1):23-53.
- SIKDER, I.U., S. MAL-SARKAR, AND T.K. MAL. 2006. Knowledge-based risk assessment under uncertainty for species invasion. Risk Anal. 26(1):239 -252.
- STEPHENS, S.L., AND L.W. RUTH. 2005. Federal forest-fire policy in the United States. Ecol. Ap- plic. 15(2):532-542.
- USDA AND US DEPARTMENT OF THE INTERIOR (USDOI). 2009. Quadrennial fire review (QFR) 2009. Final Rep. from US For. Serv., Bureau of Land Management (BLM), US Fish and Wildlife Service, National Park Service, Bureau of Indian Affairs, National Association of State Foresters. 62 p. USDA AND US DEPARTMENT OF THE INTERIOR (USDOI), FIRE EXECUTIVE COUNCIL. 2009. Guidance for implementation of federal wild- VENN, T.J., AND D.E. CALKIN. 2009. Challenges of socio-economically evaluating wildfire man- agement on non-industrial private and public forestland in the western United States. Small Scale For. 8:43-61.
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Metadata
- Authors
- Calkin, D. E., Thompson, M. P., Finney, M. A., & Hyde, K. D.
- Affiliations
- 1US Forest Service, Rocky Mountain Research Station, Forest Sciences Laboratory, PO Box 7669, Missoula, MT 59807
- 2US Forest Service, Rocky Mountain Research Station, Forest Sciences Laboratory, PO Box 7669, Missoula, MT 59807
- 3Research forester, US Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808
- 4Landscape hydrologist, Collins Consulting, PO Box 7669, Missoula, MT 59807
- Venue
- Journal of Forestry
- Published
- 2011-07-01
- Volume
- 109
- Issue
- 5
- Pages
- 274-280
- ISSN
- 0022-1201
- 1938-3746
- Cited by
- 80
- References
- 0
- Language
- en
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