globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2014.09.040
Scopus记录号: 2-s2.0-84908576844
论文题名:
Evaluating models to predict daily fine fuel moisture content in eucalypt forest
作者: Slijepcevic A.; Anderson W.R.; Matthews S.; Anderson D.H.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2015
卷: 335
起始页码: 261
结束页码: 269
语种: 英语
英文关键词: Bookkeeping model ; Canadian FFMC ; Eucalyptus forest ; Fine fuel moisture ; Process-based model
Scopus关键词: Canadian FFMC ; Eucalypt forest ; Eucalyptus forests ; Evaluating models ; Fuel moisture ; Fuel moisture content ; Process-based modeling ; burning ; forest canopy ; forest cover ; fuel ; moisture content ; numerical model ; tree ; Australia ; Tasmania ; Eucalyptus
英文摘要: Two models were evaluated for predicting dead fine fuel moisture content on sites in dry and damp eucalypt forests in Tasmania on a daily basis. Models were based on modifications of the Canadian Fine Fuel Moisture Code, and the process-based model of (Matthews, 2006) with and without modifications to better fit the data. All three models predicted well on the dry site, with little to choose between the two modified models. The process-based model performed better on the damp site. Site differences in moisture content could be explained by differences in vegetation and canopy cover. The ability of the models to predict conditions suitable for prescribed burning was tested. The modified Canadian model resulted in more correct predictions of optimal burning conditions than the process-based models. The modified process-based model gave the most predictions that would falsely indicate conditions were suitable for prescribed burning. © 2014.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65658
Appears in Collections:影响、适应和脆弱性

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作者单位: Fire and Emergency Management, Country Fire Authority, 8 Lakeside Drive, Burwood East, VIC, Australia; School of Physical, Environmental and Mathematical Sciences, UNSW, Canberra, ACT, Australia; CSIRO Ecosystem Sciences and CSIRO Digital Productivity and Services Flagship, Eveleigh, NSW, Australia; Faculty of Agriculture and Environment, University of Sydney Eveleigh, Sydney, Australia; 45 Tantawangalo Mountain Rd., Candelo, NSW, Australia

Recommended Citation:
Slijepcevic A.,Anderson W.R.,Matthews S.,et al. Evaluating models to predict daily fine fuel moisture content in eucalypt forest[J]. Forest Ecology and Management,2015-01-01,335
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