DOI: 10.1016/j.foreco.2013.06.033
Scopus记录号: 2-s2.0-84880624150
论文题名: Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests
作者: Slijepcevic A. ; Anderson W.R. ; Matthews S.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2013
卷: 306 起始页码: 202
结束页码: 215
语种: 英语
英文关键词: Bookkeeping model
; Eucalyptus forest
; Fine fuel moisture
; Process-based model
Scopus关键词: Equilibrium moisture contents
; Estimation models
; Eucalyptus forests
; Fuel moisture
; Fuel temperature
; Prediction model
; Process-based models
; Site information
; Forecasting
; Forestry
; Mathematical models
; Moisture
; Moisture determination
; Fuels
; bark
; coniferous forest
; empirical analysis
; fuel
; model validation
; moisture content
; prediction
; Eucalyptus
; Forests
; Fuels
; Mathematical Models
; Moisture
; Australia
; Tasmania
英文摘要: Several days of hourly fuel moisture sampling were carried out in Southern Tasmania in dry and damp eucalyptus forest to test fuel moisture prediction models used in Australia, and to provide information on equilibrium moisture content and response time for use in more complex models. Moisture contents of near surface, surface, profile litter and bark fuels were measured, along with standard weather variables. On one set of four consecutive days fuel temperatures were also measured with thermocouples.One of the simple empirical fuel moisture prediction models worked well on the litter fuels for which it was intended, but another of the simple models in common use, predicted poorly, particularly on the damp site. One of the simple models was modified, and gave acceptable predictions for profile litter. Another simple model was calibrated to give good predictions for near surface, bark and litter fuels in the middle of the day. A more physically-based 'bookkeeping' model for estimating response time and EMC worked very well on all strata but the litter profile. Response times of all fuel strata were of the order of 1. h. A process based model worked slightly better than the EMC estimation model for near surface, litter and bark fuel and considerably better for profile litter, especially on the damp site. On the whole these models performed better than the simple empirical models, but they were tuned to various degrees by site information. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66421
Appears in Collections: 影响、适应和脆弱性
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作者单位: Country Fire Authority, 8 Lakeside Drive, Burwood East, VIC 3151, Australia; School of Physical, Environmental and Mathematical Sciences, UNSW, Canberra, ACT 2600, Australia; CSIRO Ecosystem Sciences, CSIRO Digital Productivity and Services Flagship, Eveleigh, NSW 2015, Australia; Faculty of Agriculture and Environment, University of Sydney, Eveleigh, NSW 2015, Australia
Recommended Citation:
Slijepcevic A.,Anderson W.R.,Matthews S.. Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests[J]. Forest Ecology and Management,2013-01-01,306