scholarly journals EFFECTS OF WILDLAND URBAN INTERFACE FUEL TREATMENTS ON FIRE BEHAVIOR AND ECOSYSTEM SERVICES IN THE KLAMATH MOUNTAINS OF CALIFORNIA

2010 ◽  
Author(s):  
Jonathan A Large
Keyword(s):  
Ecosystem Services ◽  
Fire Behavior ◽  
Klamath Mountains ◽  
Fuel Treatments ◽  
Wildland Urban Interface

scholarly journals Developing Fire Behavior Fuel Models for the Wildland–Urban Interface in Anchorage, Alaska

2008 ◽  
Vol 23 (3) ◽  
pp. 149-155 ◽  
Author(s):  
Daniel Cheyette ◽  
T. Scott Rupp ◽  
Sue Rodman
Keyword(s):  
Bark Beetle ◽  
Forest Type ◽  
Fire Behavior ◽  
Inventory Data ◽  
Wildland Urban Interface ◽  
Fuels Reduction ◽  
Spruce Bark Beetle ◽  
Spruce Bark ◽  
Modeling Systems ◽  
Fuel Models

Abstract Fire behavior modeling systems are playing an increasingly important role in identifying areas of the wildland–urban interface (WUI) that could support intense and fast-moving wildfires. The modeling systems also can be used to prioritize areas for fuels reduction treatments. We used forest inventory data to create custom fire behavior fuel models for the Anchorage, Alaska, WUI—an area strongly impacted by a recent spruce bark beetle (Dendroctonus rufipennis) infestation. Eight custom fuel models were developed including a custom fuel model for a spruce bark beetle impacted forest type. NEXUS simulations indicate that the custom fuel models better describe forest structure and predict fire behavior than do parameterized standard fuel models previously used by local fire managers. Rate of spread and fireline ranged from 1–321 chains/hour and 1–2,549 Btu/ft per second, respectively, for the custom fuel models compared with 1–70 chains/hour and 1–7,929 Btu/ft per second, respectively, for the parameterized standard fuel models. Our study shows that it is both possible and feasible to create custom fuel models directly from fuels inventory data. This achievement has broad implications for land managers, particularly managers of the boreal forest, a region that is susceptible to wildfires but also home to a growing human population and increasing amounts of development.

Simulating fuel treatment effects in dry forests of the western United States: testing the principles of a fire-safe forest

2011 ◽  
Vol 41 (5) ◽  
pp. 1018-1030 ◽  
Author(s):  
Morris C. Johnson ◽  
Maureen C. Kennedy ◽  
David L. Peterson
Keyword(s):  
United States ◽  
Treatment Effects ◽  
Fire Hazard ◽  
Fire Behavior ◽  
Post Treatment ◽  
Western United States ◽  
Crown Fire ◽  
Fuel Treatments ◽  
Dry Forests ◽  
Fuel Treatment

We used the Fire and Fuels Extension to the Forest Vegetation Simulator (FFE-FVS) to simulate fuel treatment effects on 45 162 stands in low- to midelevation dry forests (e.g., ponderosa pine ( Pinus ponderosa Dougl. ex. P. & C. Laws.) and Douglas-fir ( Pseudotsuga menziesii (Mirb.) Franco) of the western United States. We evaluated treatment effects on predicted post-treatment fire behavior (fire type) and fire hazard (torching index). FFE-FVS predicts that thinning and surface fuel treatments reduced crown fire behavior relative to no treatment; a large proportion of stands were predicted to transition from active crown fire pre-treatment to surface fire post-treatment. Intense thinning treatments (125 and 250 residual trees·ha–1) were predicted to be more effective than light thinning treatments (500 and 750 residual trees·ha–1). Prescribed fire was predicted to be the most effective surface fuel treatment, whereas FFE-FVS predicted no difference between no surface fuel treatment and extraction of fuels. This inability to discriminate the effects of certain fuel treatments illuminates the consequence of a documented limitation in how FFE-FVS incorporates fuel models and we suggest improvements. The concurrence of results from modeling and empirical studies provides quantitative support for “fire-safe” principles of forest fuel reduction (sensu Agee and Skinner 2005. For. Ecol. Manag. 211: 83–96).

scholarly journals Effect of Fuel Treatments on Fuels and Potential Fire Behavior in California, USA, National Forests

Fire Ecology ◽  
2009 ◽  
Vol 5 (2) ◽  
pp. 14-29 ◽  
Author(s):  
Nicole M. Vaillant ◽  
JoAnn Fites-Kaufman ◽  
Alicia L. Reiner ◽  
Erin K. Noonan-Wright ◽  
Scott N. Dailey
Keyword(s):  
Fire Behavior ◽  
National Forests ◽  
Fuel Treatments

scholarly journals Homeowner Preferences for Wildfire Risk Mitigation in the Alaskan Wildland Urban Interface

2021 ◽  
Vol 13 (21) ◽  
pp. 11754
Author(s):  
Allen Molina ◽  
Joseph Little ◽  
Stacy Drury ◽  
Randi Jandt
Keyword(s):  
Willingness To Pay ◽  
Risk Mitigation ◽  
Human Life ◽  
Public Lands ◽  
Discrete Choice Experiments ◽  
Individual Risk ◽  
Fuel Treatments ◽  
Wildland Urban Interface ◽  
Wildfire Risk ◽  
Amenity Values

Wildfire has become a larger threat to human life and property with the proliferation of homes into the wildland urban interface and warming climate. In this study we explored Alaskan homeowner preferences for wildfire risk mitigation in the wildland urban interface using discrete choice experiments to better understand the drivers of their risk mitigation actions. Estimates of willingness-to-pay for private mitigation actions are increased with wildfire risk reduction for all respondents. Willingness-to-pay for private mitigation is also positively associated with the presence of thinned fuel treatments on nearby public lands, but is estimated to decrease if cleared fuel treatments are present on public lands. Our study concludes that homeowners minimize wildfire risk while maintaining neighborhood amenity values. Additionally, findings suggest that there is an optimal amount of neighborhood participation to motivate individual risk mitigation actions, as well as having a say in the mitigation actions on public lands.

A simulation study of thinning and fuel treatments on a wildland–urban interface in eastern Oregon, USA

2007 ◽  
Vol 80 (3) ◽  
pp. 292-300 ◽  
Author(s):  
Alan A. Ager ◽  
Andrew J. McMahan ◽  
James J. Barrett ◽  
Charles W. McHugh
Keyword(s):  
Simulation Study ◽  
Fuel Treatments ◽  
Wildland Urban Interface
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