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 |
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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. |
doi_str_mv | 10.1139/X09-142 |
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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.</description><identifier>ISSN: 0045-5067</identifier><identifier>EISSN: 1208-6037</identifier><identifier>DOI: 10.1139/X09-142</identifier><identifier>CODEN: CJFRAR</identifier><language>eng</language><publisher>Ottawa, ON: National Research Council of Canada</publisher><subject>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</subject><ispartof>Canadian journal of forest research, 2009-12, Vol.39 (12), p.2355-2368</ispartof><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2009 NRC Research Press</rights><rights>Copyright National Research Council of Canada Dec 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-db84a8051fdf668856f09a6325b43c461ca7a9a041cfc293d0eea6159c37a41b3</citedby><cites>FETCH-LOGICAL-c468t-db84a8051fdf668856f09a6325b43c461ca7a9a041cfc293d0eea6159c37a41b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22318915$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Anderson, Stuart A.J</creatorcontrib><creatorcontrib>Anderson, Wendy R</creatorcontrib><title>Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels</title><title>Canadian journal of forest research</title><addtitle>Revue canadienne de recherche forestière</addtitle><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.</description><subject>Atmospheric models</subject><subject>Australia</subject><subject>Biological and medical sciences</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Evergreens</subject><subject>Fine Fuel Moisture Code</subject><subject>fire danger rating</subject><subject>fire hazard</subject><subject>Forest & brush fires</subject><subject>Forest conservation</subject><subject>Forest fires</subject><subject>Forest management</subject><subject>Forestry</subject><subject>fuels (fire ecology)</subject><subject>Fuelwood</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Management</subject><subject>meteorological data</subject><subject>Methods</subject><subject>Moisture content</subject><subject>prediction</subject><subject>Properties</subject><subject>Regression analysis</subject><subject>Risk</subject><subject>risk assessment</subject><subject>Shrublands</subject><subject>shrubs</subject><subject>Sustainability management</subject><subject>Sustainable development</subject><subject>Sustainable forestry</subject><subject>Thermal properties</subject><subject>Ulex europaeus</subject><subject>water content</subject><subject>weather</subject><issn>0045-5067</issn><issn>1208-6037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp90W9rFDEQBvBFFDyr-BEMgrUWtk6Szf55KcW2woGCHvguzmUndyl7yTbZlfrtjW5REOyrefObZwaeonjO4Yxz2b39Cl3JK_GgWHEBbVmDbB4WK4BKlQrq5nHxJKVrAJC1hFXx7VOk3pnJ-R2b9sRooO84Uc96wp5Z54nZmQZ2CC5NcyRmgp_IT8x5tgsxETvZDHTLaI5hRJoTW5-9YWkf5-3vxfS0eGRxSPTsbh4Vm4v3X86vyvXHyw_n79alqep2KvttW2ELitve1nXbqtpCh7UUalvJTLjBBjuEihtrRCd7IMKaq87IBiu-lUfF8ZI7xnAzU5r0wSVDw4Cewpy04EK1ApoMX_4Dr8Mcff5NCwlKVErwv2iHA2nnbZgiGjO6mxzUKC6ElBm9XpCJIaVIVo_RHTD-0Bz0ry507kLnLrJ8dXcTk8HBRvTGpT88p_G24yq708X5aCIlwmj294Qe_x_fLkiPvc3wxQItBo27mC9vPgvgEngjeFcp-RP3tKrK</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Anderson, Stuart A.J</creator><creator>Anderson, Wendy R</creator><general>National Research Council of Canada</general><general>NRC Research Press</general><general>Canadian Science Publishing NRC Research Press</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>U9A</scope><scope>7ST</scope><scope>7U6</scope><scope>SOI</scope></search><sort><creationdate>20091201</creationdate><title>Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels</title><author>Anderson, Stuart A.J ; Anderson, Wendy R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-db84a8051fdf668856f09a6325b43c461ca7a9a041cfc293d0eea6159c37a41b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Atmospheric models</topic><topic>Australia</topic><topic>Biological and medical sciences</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Evergreens</topic><topic>Fine Fuel Moisture Code</topic><topic>fire danger rating</topic><topic>fire hazard</topic><topic>Forest & brush fires</topic><topic>Forest conservation</topic><topic>Forest fires</topic><topic>Forest management</topic><topic>Forestry</topic><topic>fuels (fire ecology)</topic><topic>Fuelwood</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Management</topic><topic>meteorological data</topic><topic>Methods</topic><topic>Moisture content</topic><topic>prediction</topic><topic>Properties</topic><topic>Regression analysis</topic><topic>Risk</topic><topic>risk assessment</topic><topic>Shrublands</topic><topic>shrubs</topic><topic>Sustainability management</topic><topic>Sustainable development</topic><topic>Sustainable forestry</topic><topic>Thermal properties</topic><topic>Ulex europaeus</topic><topic>water content</topic><topic>weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anderson, Stuart A.J</creatorcontrib><creatorcontrib>Anderson, Wendy R</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Canadian journal of forest research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anderson, Stuart A.J</au><au>Anderson, Wendy R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus L.) shrub fuels</atitle><jtitle>Canadian journal of forest research</jtitle><addtitle>Revue canadienne de recherche forestière</addtitle><date>2009-12-01</date><risdate>2009</risdate><volume>39</volume><issue>12</issue><spage>2355</spage><epage>2368</epage><pages>2355-2368</pages><issn>0045-5067</issn><eissn>1208-6037</eissn><coden>CJFRAR</coden><abstract>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.</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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