globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2013.06.001
Scopus记录号: 2-s2.0-84880159503
论文题名:
Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements
作者: Keane R.E.; Herynk J.M.; Toney C.; Urbanski S.P.; Lutes D.C.; Ottmar R.D.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2013
卷: 305
起始页码: 248
结束页码: 263
语种: 英语
英文关键词: Fire effects inputs ; Fuel Characteristics Classification System ; Fuel loading model ; Fuel Type Groups ; LANDFIRE fuel mapping ; Surface fuel loadings
Scopus关键词: Classification system ; Fire effect ; Fuel loading ; Fuel mapping ; Fuel types ; Surface fuels ; Classification (of information) ; Forestry ; Fuel gages ; Mapping ; Wood fuels ; Loading ; classification ; fire behavior ; forest inventory ; fuelwood ; litter ; performance assessment ; woody debris ; Classification ; Fuels ; Information Retrieval ; Loading ; Mapping ; Models
英文摘要: Fuel Loading Models (FLMs) and Fuel Characteristic Classification System (FCCSs) fuelbeds are used throughout wildland fire science and management to simplify fuel inputs into fire behavior and effects models, but they have yet to be thoroughly evaluated with field data. In this study, we used a large dataset of Forest Inventory and Analysis (FIA) surface fuel estimates (n=13,138) to create a new fuel classification called Fuel Type Groups (FTGs) from FIA forest type groups, and then keyed an FLM, FCCS, and FTG class to each FIA plot based on fuel loadings and stand conditions. We then compared FIA sampled loadings to the keyed class loading values for four surface fuel components (duff, litter, fine woody debris, coarse woody debris) and to mapped FLM, FCCS, and FTG class loading values from spatial fuel products. We found poor performances (R2<0.30) for most fuel component loadings in all three classifications that, in turn, contributed to poor mapping accuracies. The main reason for the poor performances is the high variability of the four fuel component loadings within classification categories and the inherent scale of this variability does not seem to match the FIA measurement scale or LANDFIRE mapping scale. © 2013 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66434
Appears in Collections:影响、适应和脆弱性

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作者单位: USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, United States; SEM LLC, 808 Woodford Avenue, Missoula, MT 59801, United States; US Forest Service, Missoula Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, United States; US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, United States; US Forest Service, Fire Modeling Institute, Missoula Fire Sciences Laboratory, 5775 Highway 10 West, Missoula, MT 59808, United States; Pacific Wildland Fire Sciences Laboratory, US Forest Service Pacific Northwest Research Station, 400 North 34th Street, Suite 201, Seattle, WA 98103, United States

Recommended Citation:
Keane R.E.,Herynk J.M.,Toney C.,et al. Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements[J]. Forest Ecology and Management,2013-01-01,305
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