globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2015.09.001
Scopus记录号: 2-s2.0-84941196257
论文题名:
Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure
作者: Kane V.R.; Cansler C.A.; Povak N.A.; Kane J.T.; McGaughey R.J.; Lutz J.A.; Churchill D.J.; North M.P.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2015
卷: 358
起始页码: 62
结束页码: 79
语种: 英语
英文关键词: Biophysical environment ; Fire history ; LiDAR ; Mixed-severity fire ; Random forests ; RdNBR burn severity ; Rim fire ; Spatial autocorrelation
Scopus关键词: Autocorrelation ; Balloons ; Biophysics ; Decision trees ; Forestry ; Optical radar ; Solar radiation ; Biophysical environments ; Burn Severity ; Fire history ; Mixed severity ; Random forests ; Spatial autocorrelations ; Fires ; autocorrelation ; biophysics ; drought ; fire history ; forest canopy ; forest fire ; forest management ; lidar ; optimization ; topography ; water budget ; weather ; wildfire ; Environments ; Fires ; Forests ; Sun Light ; California ; Sierra Nevada [California] ; United States
英文摘要: Recent and projected increases in the frequency and severity of large wildfires in the western U.S. makes understanding the factors that strongly affect landscape fire patterns a management priority for optimizing treatment location. We compared the influence of variations in the local environment on burn severity patterns on the large 2013 Rim fire that burned under extreme drought with those of previous smaller fires for a study area in the Sierra Nevada, California, USA. Although much of the Rim fire burned during plume-dominated conditions resulting in large high-severity patches, our study area burned under milder fire weather resulting in a mix of fire severities. In our study area the Rim fire produced a higher proportion of moderate- and high-severity effects than occurred in previous fires. Random forest modeling explained up to 63% of the Rim fire burn variance using seven predictors: time since previous fire, actual evapotranspiration (AET), climatic water deficit (Deficit), previous maximum burn severity, burning index, slope position, and solar radiation. Models using only a subset of biophysical predictors (AET, Deficit, slope position and steepness, and solar radiation) explained 55% of the Rim fire and 58% of the maximum fire burn severity of previous fires. The relationship of burn severity to patterns of AET, however, reversed for the Rim fire (positive) compared to earlier fires (negative). Measurements of pre-Rim fire forest structure from LiDAR did not improve our ability to explain burn severity patterns. We found that accounting for spatial autocorrelation in burn severity and biophysical environment was important to model quality and stability. Our results suggest water balance and topography can help predict likely burn severity patterns under moderate climate and fire weather conditions, providing managers with general guidance for prioritizing fuel treatments and identifying where fire is less likely to burn with higher severities even for locations with higher forest density and canopy cover. © 2015 Elsevier B.V.
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被引频次[WOS]:123   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65234
Appears in Collections:影响、适应和脆弱性

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作者单位: School of Environmental and Forest Sciences, University of Washington, Box 352100, Seattle, WA, United States; USDA Forest Service, Pacific Southwest Research Station, Institute of Pacific Islands Forestry, 60 Nowelo St., Hilo, HI, United States; USDA Forest Service, Pacific Northwest Research Station, University of Washington, Box 352100, Seattle, WA, United States; Department of Wildland Resources, Utah State University, 5230 Old Main Hill, Logan, UT, United States; USDA Forest Service, Pacific Southwest Research Station, 1731 Research Park Dr., Davis, CA, United States

Recommended Citation:
Kane V.R.,Cansler C.A.,Povak N.A.,et al. Mixed severity fire effects within the Rim fire: Relative importance of local climate, fire weather, topography, and forest structure[J]. Forest Ecology and Management,2015-01-01,358
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