Progress towards and barriers to implementation of a risk framework for US federal wildland fire policy and decision making

In this paper we review progress towards the implementation of a risk management framework for US federal wildland fire policy and operations. We first describe new developments in wildfire simulation technology that catalyzed the development of risk-based decision support systems for strategic wildfire management. These systems include new analytical methods to measure wildfire risk to human and ecological values and to inform fuel treatment investment strategies at national, regional, and local scales. Application of the risk management framework to support wildfire incidents has been dramatically advanced with the Wildland Fire Decision Support System and allowed policy modifications that encourage management of incidents for multiple objectives. The new wildfire risk management decision support systems we discuss provide Federal agencies in the US the ability to integrate risk-informed approaches to a wide range of wildfire management responsibilities and decisions. While much progress has been made, there remain several barriers that need to be addressed to fully integrate risk science into current wildfire management practices. We conclude by identifying five primary issues that if properly addressed could help public land management better realize the opportunities and potential payoffs from fully adopting a risk management paradigm.

[1]  D. Calkin,et al.  Costs of landscape silviculture for fire and habitat management , 2005 .

[2]  Charles W. McHugh,et al.  A Method for Ensemble Wildland Fire Simulation , 2011 .

[3]  Geoffrey H. Donovan,et al.  The Effect of Newspaper Coverage and Political Pressure on Wildfire Suppression Costs , 2011 .

[4]  A. Black,et al.  Fire Effects Planning Framework: A User's Guide , 2012 .

[5]  M. Finney Fire growth using minimum travel time methods , 2002 .

[6]  D. Calkin,et al.  Accommodating non-market values in evaluation of wildfire management in the United States: challenges and opportunities , 2011 .

[7]  David E. Calkin,et al.  External human factors in incident management team decisionmaking and their effect on large fire suppression expenditures , 2008 .

[8]  Mark A. Finney,et al.  The challenge of quantitative risk analysis for wildland fire , 2005 .

[9]  Charles W. McHugh,et al.  Modeling Containment of Large Wildfires Using Generalized Linear Mixed-Model Analysis , 2009, Forest Science.

[10]  Matthew P. Thompson,et al.  Advancing effects analysis for integrated, large-scale wildfire risk assessment , 2011, Environmental monitoring and assessment.

[11]  Nicole M. Vaillant,et al.  A comparison of landscape fuel treatment strategies to mitigate wildland fire risk in the urban interface and preserve old forest structure , 2010 .

[12]  A. Ager,et al.  Risk assessment for biodiversity conservation planning in Pacific Northwest forests , 2007 .

[13]  Ioannis Giannikos,et al.  Towards an integrated framework for forest fire control , 2004, Eur. J. Oper. Res..

[14]  David E. Calkin,et al.  Nonmarket resource valuation in the postfire environment , 2008 .

[15]  Christopher A. Wood,et al.  Wildfire Policy and Public Lands: Integrating Scientific Understanding with Social Concerns across Landscapes , 2004 .

[16]  J. O'Laughlin Conceptual model for comparative ecological risk assessment of wildfire effects on fish, with and without hazardous fuel treatment § , 2005 .

[17]  Jeffrey P. Prestemon,et al.  Suppression Cost Forecasts in Advance of Wildfire Seasons , 2008, Forest Science.

[18]  Matthew P. Thompson,et al.  Integrated national-scale assessment of wildfire risk to human and ecological values , 2011 .

[19]  Martha A. Williamson,et al.  Factors in United States Forest Service district rangers' decision to manage a fire for resource benefit , 2007 .

[20]  Geoffrey H. Donovan,et al.  Be careful what you wish for: the legacy of Smokey Bear , 2007 .

[21]  Young-Hwan Kim,et al.  Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires , 2009, Eur. J. Oper. Res..

[22]  Volker C. Radeloff,et al.  Wildfire risk in the wildland―urban interface: A simulation study in northwestern Wisconsin , 2009 .

[23]  Paulo Mateus,et al.  A simulation-based test of a landscape fuel management project in the Marão range of northern Portugal , 2006 .

[24]  Richard J. Murnane,et al.  Catastrophe Risk Models for Wildfires in the Wildland–Urban Interface: What Insurers Need , 2006 .

[25]  D. Loftsgaarden,et al.  Evaluation of fire danger rating indexes using logistic regression and percentile analysis , 2003 .

[26]  Jessica G Turnley,et al.  Predicting risks of uncharacteristic wildfires: Application of the risk assessment process , 2005 .

[27]  Lazaros S. Iliadis,et al.  A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation , 2005, Environ. Model. Softw..

[28]  Philip N. Omi,et al.  The use of shaded fuelbreaks in landscape fire management. , 2000 .

[29]  John B. Loomis,et al.  Estimating rates of substitution for protecting values at risk for initial attack planning and budgeting , 2008 .

[30]  Jason J. Moghaddas,et al.  Fire treatment effects on vegetation structure, fuels, and potential fire severity in western U.S. forests. , 2009, Ecological applications : a publication of the Ecological Society of America.

[31]  Carol Miller,et al.  Barriers to Wildland Fire Use A Preliminary Problem Analysis , 2006 .

[32]  Yu Wei,et al.  An optimization model for locating fuel treatments across a landscape to reduce expected fire losses , 2008 .

[33]  Richard D. Stratton,et al.  Assessing the Effectiveness of Landscape Fuel Treatments on Fire Growth and Behavior , 2004, Journal of Forestry.

[34]  E. Chuvieco,et al.  Development of a framework for fire risk assessment using remote sensing and geographic information system technologies , 2010 .

[35]  Jon E. Keeley,et al.  Ecological effects of large fires on US landscapes: benefit or catastrophe? , 2008, International Journal of Wildland Fire.

[36]  Ellen Eberhardt,et al.  A consumer guide: tools to manage vegetation and fuels. , 2007 .

[37]  P. Wandschneider,et al.  Optimal wildfire insurance in the wildland-urban interface in the presence of a government subsidy for fire risk mitigation , 2005 .

[38]  E. David Ford,et al.  Seeing the forest for the fuel: Integrating ecological values and fuels management , 2007 .

[39]  Soung-Ryoul Ryu,et al.  Simulating Fire Spread with Landscape Management Scenarios , 2006, Forest Science.

[40]  Jeffrey L. Arthur,et al.  Optimal spatial patterns of fuel management and timber harvest with fire risk , 2010 .

[41]  Peter Noordijk,et al.  Assessing the Accuracy of Wildland Fire Situation Analysis (WFSA) Fire Size and Suppression Cost Estimates , 2005 .

[42]  Krishna Prasad Vadrevu,et al.  Fire risk evaluation using multicriteria analysis—a case study , 2010, Environmental monitoring and assessment.

[43]  T. B. Wigley,et al.  Relative risk assessments for decision-making related to uncharacteristic wildfire , 2005 .

[44]  D. Zheng,et al.  Relating surface fire spread to landscape structure: An application of FARSITE in a managed forest landscape , 2007 .

[45]  Christopher R. Keyes,et al.  Quantifying Stand Targets for Silvicultural Prevention of Crown Fires , 2002 .

[46]  Keith M. Reynolds,et al.  Evaluating wildland fire danger and prioritizing vegetation and fuels treatments , 2007 .

[47]  Carl N. Skinner,et al.  The influence of fuels treatment and landscape arrangement on simulated fire behavior, Southern Cascade range, California , 2008 .

[48]  G. E. Dixon Essential FVS: A User's Guide to the Forest Vegetation Simulator , 2007 .

[49]  Charles W. McHugh,et al.  Simulation of long-term landscape-level fuel treatment effects on large wildfires , 2006 .

[50]  Charles W. McHugh,et al.  Numerical Terradynamic Simulation Group 10-2011 A simulation of probabilistic wildfire risk components for the continental United States , 2017 .

[51]  David E. Calkin,et al.  Challenges of Socio-economically Evaluating Wildfire Management on Non-industrial Private and Public Forestland in the Western United States , 2009, Small-scale Forestry.

[52]  Matthew P. Thompson,et al.  A real-time risk assessment tool supporting wildland fire decisionmaking , 2011 .

[53]  Robert E. Keane,et al.  First Order Fire Effects Model: FOFEM 4.0, user's guide , 1997 .

[54]  R. Haynes,et al.  Line officers' views on stated USDA Forest Service values and the agency reward system. , 2005 .

[55]  G. Roloff,et al.  A process for modeling short- and long-term risk in the southern Oregon Cascades , 2005 .

[56]  M. Finney,et al.  Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in Central Oregon, USA , 2007 .

[57]  Robert E. Keane,et al.  Objectives and considerations for wildland fuel treatment in forested ecosystems of the interior western United States , 2008 .

[58]  Thomas C. Brown,et al.  An Alternative Incentive Structure for Wildfire Management on National Forest Land , 2005 .

[59]  Patricia H. Gude,et al.  Potential for Future Development on Fire-Prone Lands , 2008, Journal of Forestry.