Factors influencing fire severity under moderate burning conditions in the Klamath Mountains, northern California, USA

被引:99
|
作者
Estes, Becky L. [1 ,4 ]
Knapp, Eric E. [1 ]
Skinner, Carl N. [1 ]
Miller, Jay D. [2 ]
Preisler, Haiganoush K. [3 ]
机构
[1] US Forest Serv, Pacific Southwest Res Stn, USDA, Redding, CA 96002 USA
[2] US Forest Serv, Pacific Southwest Reg, Fire & Aviat Management, USDA, Mcclellan, CA 95652 USA
[3] US Forest Serv, Pacific Southwest Res Stn, USDA, Albany, CA 94710 USA
[4] US Forest Serv, Pacific Southwest Reg, USDA, Eldorado Natl Forest, Placerville, CA 95667 USA
来源
ECOSPHERE | 2017年 / 8卷 / 05期
关键词
fire severity; Klamath Mountains; temperature inversions; topography; weather; SUB-ALPINE FORESTS; SIERRA-NEVADA; NORTHWESTERN CALIFORNIA; SPATIAL-PATTERNS; PRESCRIBED FIRE; DISTURBANCE; LANDSCAPE; WILDFIRE; HISTORY; REGIMES;
D O I
10.1002/ecs2.1794
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Topography, weather, and fuels are known factors driving fire behavior, but the degree to which each contributes to the spatial pattern of fire severity under different conditions remains poorly understood. The variability in severity within the boundaries of the 2006 wildfires that burned in the Klamath Mountains, northern California, along with data on burn conditions and new analytical tools, presented an opportunity to evaluate factors influencing fire severity under burning conditions representative of those where management of wildfire for resource benefit is most likely. Fire severity was estimated as the percent change in canopy cover (0-100%) classified from the Relativized differenced Normalized Burn Ratio (RdNBR), and spatial data layers were compiled to determine strength of associations with topography, weather, and variables directly or indirectly linked to fuels, such as vegetation type, number of previous fires, and time since last fire. Detailed fire progressions were used to estimate weather (e.g., temperature, relative humidity, temperature inversions, and solar radiation) at the time of burning. A generalized additive regression model with random effects and an additional spatial term to account for autocorrelation between adjacent locations was fitted to fire severity. In this fire year characterized by the relative absence of extreme fire weather, topographical complexity most strongly influenced severity. Upper-and mid-slopes tended to burn at higher fire severity than lower-slopes. East-and southeast-facing aspects tended to burn at higher severity than other aspects. Vegetation type and fire history were also important predictors of fire severity. Shrub vegetation was more likely to burn at higher severity than mixed hardwood/conifer or hardwood vegetation. As expected, fire severity was positively associated with time since previous fire, but the relationship was non-linear. Of the weather variables analyzed, temperature inversions, common in the complex topography of the Klamath Mountains, showed the strongest association with fire severity. Inversions trapped smoke and had a dampening effect on severity within the landscape underneath the inversion. Understanding the spatial controls on mixed-severity fires allows managers to better plan for future wildfires and aide in the decision making when managing lightning ignitions for resource benefit might be appropriate.
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页数:20
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