DOI: 10.1016/j.foreco.2014.10.038
Scopus记录号: 2-s2.0-84949117476
论文题名: Water balance and topography predict fire and forest structure patterns
作者: Kane V.R. ; Lutz J.A. ; Alina Cansler C. ; Povak N.A. ; Churchill D.J. ; Smith D.F. ; Kane J.T. ; North M.P.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2015
卷: 338 起始页码: 1
结束页码: 13
语种: 英语
英文关键词: Forest structure
; LiDAR
; Mixed-severity fire
; Random forests
; RdNBR burn severity
; Water balance
Scopus关键词: Climate change
; Decision trees
; Forestry
; Incident solar radiation
; Optical radar
; Solar radiation
; Topography
; Burn Severity
; Forest structure
; Mixed severity
; Random forests
; Water balance
; Fires
; climate change
; environmental factor
; feedback mechanism
; forest fire
; forest management
; Landsat
; lidar
; prediction
; risk assessment
; stand structure
; topography
; water budget
; Forest Fires
; Forests
; Images
; Satellites
; Structures
; California
; United States
; Yosemite National Park
英文摘要: Mountainous topography creates fine-scale environmental mosaics that vary in precipitation, temperature, insolation, and slope position. This mosaic in turn influences fuel accumulation and moisture and forest structure. We studied these the effects of varying environmental conditions across a 27,104. ha landscape within Yosemite National Park, California, USA, on the number of fires and burn severity (measured from Landsat data for 1984-2010) and on canopy cover at two heights (>2. m and 2-8. m) and dominant tree height (measured with airborne LiDAR data). We used site water balance (actual evapotranspiration and climatic water deficit) and topography (slope position, slope, and insolation) as environmental predictors. Random forest modeling showed that environmental conditions predicted substantial portions of the variations in fire and forest structure: e.g., 85-93% of the variation in whether a location did not burn, burned once, or burned twice; 64% of the variation in the burn severity; and 72% of the variation in canopy cover >2. m for unburned forests, 64% for once-burned forests, and 59% for twice-burned forests. Environmental conditions also predicted a substantial portion of forest structure following one and two fires, even though the post-fire forest structures were substantially different than pre-fire structures. This suggests a feedback mechanism in which local fire regimes and pre-fire forest structures are related to local environments, and their interaction produces post-fire structures also related to local environments. Among environmental predictors, water balance had the greatest explanatory power, followed by slope position, and then by slope and insolation. Managers could use our methods to help select reference areas that match environmental conditions, identify areas at risk for fires that endanger critical habitat or other resources, and identify climate analog areas to help anticipate and plan for climate change. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65581
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; Department of Wildland Resources, Utah State University, 5230 Old Main Hill, Logan, UT, United States; USDA Forest Service, Pacific Southwest Research Station, Wenatchee Forestry Sciences Laboratory, 1133 N. Western Ave., Wenatchee, WA, United States; Yosemite National Park, P.O. Box 577, Yosemite, CA, United States; USDA Forest Service, Pacific Southwest Research Station, 1731 Research Park Dr., Davis, CA, United States
Recommended Citation:
Kane V.R.,Lutz J.A.,Alina Cansler C.,et al. Water balance and topography predict fire and forest structure patterns[J]. Forest Ecology and Management,2015-01-01,338