Modelling the effect of accelerated forest management on long-term wildfire activity

被引:26
作者
Ager, Alan A. [1 ]
Barros, Ana M. G. [2 ]
Houtman, Rachel [2 ]
Seli, Rob [3 ]
Day, Michelle A. [1 ]
机构
[1] US Forest Serv, USDA, Rocky Mt Res Stn, Missoula Fire Sci Lab, 5775 US Highway 10W, Missoula, MT 59808 USA
[2] Oregon State Univ, Coll Forestry, Forest Ecosyst & Soc, 321 Richardson Hall, Corvallis, OR 97331 USA
[3] Cedar Creek Consulting LLC, 105 Cedar Creek Rd, Plains, MT 59859 USA
关键词
Forest restoration; Forest landscape model; Wildfire simulation; Forest Vegetation Simulator; FSim; CENTRAL OREGON; FIRE; VEGETATION; RESTORATION; SIMULATION; RISK; CALIFORNIA; IMPACTS; GROWTH; RESILIENCE;
D O I
10.1016/j.ecolmodel.2020.108962
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We integrated a widely used forest growth and management model, the Forest Vegetation Simulator, with the FSim large wildfire simulator to study how management policies affected future wildfire over 50 years on a 1.3 million ha study area comprised of a US national forest and adjacent lands. The model leverages decades of research and development on the respective forest growth and wildfire simulation models, and their integration creates a strategic forest landscape model that has a high degree of transparency in the existing user communities. The study area has been targeted for forest restoration investments in response to wildland fires that are increasingly impacting ecological conditions, conservation areas, amenity values, and surrounding communities. We simulated three alternative spatial investment priorities and three levels of management intensity (area treated) over a 50-year timespan and measured the response in terms of area burned, fire severity, wildlandurban interface exposure and timber production. We found that the backlog of areas in need of restoration on the national forest could be eliminated in 20 years when the treatment rate was elevated to a maximum of 3x the current level. However, higher rates of treatments early in the simulation created a future need to address the rapid buildup of fuels associated with understory shrub and tree regeneration. Restoration treatments over time had a large effect on fire severity, on average reducing potential flame length by up to 26% for the study area within the first 20 years, whereas reductions in area burned were relatively small. Although wildfire contributed to reducing flame length over time, area burned was only 16% of the total disturbed area (managed and burned with prescribed fire) under the 3x management intensity. Interactions among spatial treatment scenarios and treatment intensities were minimal, although inter-annual variability was extreme, with the coefficient of variation in burned area exceeding 200%. We also observed simulated fires that exceeded four times the historically recorded fire size. Fire regime variability has manifold significance since very large fires can homogenize fuels and eliminate clumpy stand structure that historically reduced fire size and maintained landscape resiliency. We discuss specific research needs to better understand future wildfire activity and the relative influence of climate, fuels, fire feedbacks, and management to achieve fire resiliency goals on western US fire frequent forests.
引用
收藏
页数:13
相关论文
共 83 条
[1]   A comparison of statistical downscaling methods suited for wildfire applications [J].
Abatzoglou, John T. ;
Brown, Timothy J. .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2012, 32 (05) :772-780
[2]   Modeling wildfire risk to northern spotted owl (Strix occidentalis caurina) habitat in Central Oregon, USA [J].
Ager, Alan A. ;
Finney, Mark A. ;
Kerns, Becky K. ;
Maffei, Helen .
FOREST ECOLOGY AND MANAGEMENT, 2007, 246 (01) :45-56
[3]   Modeling the effects of thinning on bark beetle impacts and wildfire potential in the Blue Mountains of eastern Oregon [J].
Ager, Alan A. ;
McMahan, Andrew ;
Hayes, Jane L. ;
Smith, Eric L. .
LANDSCAPE AND URBAN PLANNING, 2007, 80 (03) :301-311
[4]   Analyzing fine-scale spatiotemporal drivers of wildfire in a forest landscape model [J].
Ager, Alan A. ;
Barros, Ana M. G. ;
Day, Michelle A. ;
Preisler, Haiganoush K. ;
Spies, Thomas A. ;
Bolte, John .
ECOLOGICAL MODELLING, 2018, 384 :87-102
[5]   Economic Opportunities and Trade-Offs in Collaborative Forest Landscape Restoration [J].
Ager, Alan A. ;
Vogler, Kevin C. ;
Day, Michelle A. ;
Bailey, John D. .
ECOLOGICAL ECONOMICS, 2017, 136 :226-239
[6]   Assessing the impacts of federal forest planning on wildfire risk mitigation in the Pacific Northwest, USA [J].
Ager, Alan A. ;
Day, Michelle A. ;
Short, Karen C. ;
Evers, Cody R. .
LANDSCAPE AND URBAN PLANNING, 2016, 147 :1-17
[7]   Integrating Fire Behavior Models and Geospatial Analysis for Wildland Fire Risk Assessment and Fuel Management Planning [J].
Ager, Alan A. ;
Vaillant, Nicole M. ;
Finney, Mark A. .
JOURNAL OF COMBUSTION, 2011, 2011
[8]   A comparison of landscape fuel treatment strategies to mitigate wildland fire risk in the urban interface and preserve old forest structure [J].
Ager, Alan A. ;
Valliant, Nicole M. ;
Finney, Mark A. .
FOREST ECOLOGY AND MANAGEMENT, 2010, 259 (08) :1556-1570
[9]  
Anderson HE., 1982, Aids to determining fuel models for estimating fire behavior, DOI DOI 10.2737/INT-GTR-122
[10]  
[Anonymous], 2000, RMRSGTR67WWW USDA FO