Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels

Methods were developed to predict the moisture content of the elevated dead fine fuel layer in gorse (Ulex europaeus L.) shrub fuels. This layer has been observed to be important for fire development and spread in these fuels. The accuracy of the Fine Fuel Moisture Code (FFMC) of the Canadian Fire W...

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Veröffentlicht in:Canadian journal of forest research 2009-12, Vol.39 (12), p.2355-2368
Hauptverfasser: Anderson, Stuart A.J, Anderson, Wendy R
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Anderson, Wendy R
description Methods were developed to predict the moisture content of the elevated dead fine fuel layer in gorse (Ulex europaeus L.) shrub fuels. This layer has been observed to be important for fire development and spread in these fuels. The accuracy of the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System to predict the moisture content of this layer was evaluated. An existing model was used to determine the response time and equilibrium moisture content from field data. This response time was incorporated into a bookkeeping model, combining the FFMC and this response time–equilibrium moisture content model. The FFMC poorly predicted the elevated dead fuel moisture content in gorse fuels, and attempts to improve its accuracy through regression modelling were unsuccessful. The response time of the elevated dead fine fuel layer was very fast (38–77 min) and has important implications for fire danger rating. The bookkeeping approach was the most promising method to predict elevated dead fuel moisture content. A limitation was the inability to model fuel-level meteorology. However, this model warrants further validation and extension to other shrub fuels and could be incorporated into existing fire danger rating systems that can utilize hourly weather data.
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This layer has been observed to be important for fire development and spread in these fuels. The accuracy of the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System to predict the moisture content of this layer was evaluated. An existing model was used to determine the response time and equilibrium moisture content from field data. This response time was incorporated into a bookkeeping model, combining the FFMC and this response time–equilibrium moisture content model. The FFMC poorly predicted the elevated dead fuel moisture content in gorse fuels, and attempts to improve its accuracy through regression modelling were unsuccessful. The response time of the elevated dead fine fuel layer was very fast (38–77 min) and has important implications for fire danger rating. The bookkeeping approach was the most promising method to predict elevated dead fuel moisture content. A limitation was the inability to model fuel-level meteorology. 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This layer has been observed to be important for fire development and spread in these fuels. The accuracy of the Fine Fuel Moisture Code (FFMC) of the Canadian Fire Weather Index System to predict the moisture content of this layer was evaluated. An existing model was used to determine the response time and equilibrium moisture content from field data. This response time was incorporated into a bookkeeping model, combining the FFMC and this response time–equilibrium moisture content model. The FFMC poorly predicted the elevated dead fuel moisture content in gorse fuels, and attempts to improve its accuracy through regression modelling were unsuccessful. The response time of the elevated dead fine fuel layer was very fast (38–77 min) and has important implications for fire danger rating. The bookkeeping approach was the most promising method to predict elevated dead fuel moisture content. A limitation was the inability to model fuel-level meteorology. However, this model warrants further validation and extension to other shrub fuels and could be incorporated into existing fire danger rating systems that can utilize hourly weather data.</abstract><cop>Ottawa, ON</cop><pub>National Research Council of Canada</pub><doi>10.1139/X09-142</doi><tpages>14</tpages></addata></record>
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subjects Atmospheric models
Australia
Biological and medical sciences
Climate change
Climate models
Evergreens
Fine Fuel Moisture Code
fire danger rating
fire hazard
Forest & brush fires
Forest conservation
Forest fires
Forest management
Forestry
fuels (fire ecology)
Fuelwood
Fundamental and applied biological sciences. Psychology
Management
meteorological data
Methods
Moisture content
prediction
Properties
Regression analysis
Risk
risk assessment
Shrublands
shrubs
Sustainability management
Sustainable development
Sustainable forestry
Thermal properties
Ulex europaeus
water content
weather
title Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels
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