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Decision making to mitigate the effects of natural hazards is a complex undertaking fraught with uncertainty. Models to describe risks associated with natural hazards have proliferated in recent years. Concurrently, there is a growing body of work focused on developing best practices for natural hazard modeling and to create structured evaluation criteria for complex environmental models. However, to our knowledge there has been less focus on the conditions where decision makers can confidently rely on results from these models. In this review we propose a preliminary set of conditions necessary for the appropriate application of modeled results to natural hazard decision making and provide relevant examples within US wildfire management programs.


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Opinion: the use of natural hazard modeling for decision making under uncertainty

Show Author's information David E Calkin1( )Mike Mentis2
Forestry Sciences Laboratory, US Forest Service Rocky Mountain Research Station, 800 East Beckwith, Missoula, MT 59801, USA
Business & the environment, Postnet Suite 10102, Private Bag X7005, Hillcrest 3650, South Africa

Abstract

Decision making to mitigate the effects of natural hazards is a complex undertaking fraught with uncertainty. Models to describe risks associated with natural hazards have proliferated in recent years. Concurrently, there is a growing body of work focused on developing best practices for natural hazard modeling and to create structured evaluation criteria for complex environmental models. However, to our knowledge there has been less focus on the conditions where decision makers can confidently rely on results from these models. In this review we propose a preliminary set of conditions necessary for the appropriate application of modeled results to natural hazard decision making and provide relevant examples within US wildfire management programs.

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Publication history

Received: 26 January 2015
Accepted: 02 April 2015
Published: 23 April 2015
Issue date: June 2015

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© 2015 Calkin and Mentis; licensee Springer.

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

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