{"id":5514,"date":"2022-09-12T14:57:24","date_gmt":"2022-09-12T12:57:24","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=5514"},"modified":"2022-09-12T14:57:24","modified_gmt":"2022-09-12T12:57:24","slug":"classification-of-forest-fuels-in-selected-fire-prone-ecosystems-of-alberta-canada-implications-for-crown-fire-behaviour-prediction-and-fuel-management","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2022\/09\/12\/classification-of-forest-fuels-in-selected-fire-prone-ecosystems-of-alberta-canada-implications-for-crown-fire-behaviour-prediction-and-fuel-management\/","title":{"rendered":"Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada\u2014implications for crown fire behaviour prediction and fuel management"},"content":{"rendered":"<script type='text\/javascript' src='https:\/\/d1bxh8uas1mnw7.cloudfront.net\/assets\/embed.js'><\/script><p><strong><a href=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-5517 alignright\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b-300x233.png\" alt=\"\" width=\"300\" height=\"233\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b-300x233.png 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b-768x595.png 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b-640x496.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2022\/09\/Phelps-2022b.png 930w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><strong>Key message<\/strong><\/strong><\/p>\n<p align=\"justify\">We used clustering to construct fuel classes from fuel inventory data based on three stand attributes relevant to crown fire behaviour: surface fuel load (SFL), canopy base height (CBH) and canopy bulk density (CBD). Resulting fuel classes explained more of the stand-to-stand variability in predicted crown fire behaviour than fuel types of the Canadian Forest Fire Behaviour Prediction (FBP) System.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nStand structure; Fuel load; Fuel inventory; Fuel complex; Cluster analysis; FBP System; Fire behaviour; Crown fire initiation<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-022-01151-x'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nPhelps, N., Beverly, J.L. Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada\u2014implications for crown fire behaviour prediction and fuel management. Annals of Forest Science 79, 40 (2022). <a href=\"https:\/\/doi.org\/10.1186\/s13595-022-01151-x\">https:\/\/doi.org\/10.1186\/s13595-022-01151-x<\/a><\/p>\n<p><strong>Data and\/or Code availability<\/strong><br \/>\nData have been deposited to the Open Science Framework repository: <a href=\"https:\/\/doi.org\/10.17605\/OSF.IO\/FZ8E4\">https:\/\/doi.org\/10.17605\/OSF.IO\/FZ8E4<\/a> and metadata is available at <a href=\"https:\/\/metadata-afs.nancy.inra.fr\/geonetwork\/srv\/fre\/catalog.search#\/metadata\/527efb49-43b4-43eb-88b2-70535ff99fc5\">https:\/\/metadata-afs.nancy.inra.fr\/geonetwork\/srv\/fre\/catalog.search#\/metadata\/527efb49-43b4-43eb-88b2-70535ff99fc5<\/a><\/p>\n<p><strong>Handling Editor<\/strong><br \/>\nPaulo Fernandes<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message We used clustering to construct fuel classes from fuel inventory data based on three stand attributes relevant to crown fire behaviour: surface fuel load (SFL), canopy base height (CBH) and canopy bulk density (CBD). Resulting fuel classes explained more of the stand-to-stand variability in predicted crown fire behaviour than fuel types of the [&hellip;]<\/p>\n","protected":false},"author":109,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,110,109,15],"tags":[],"class_list":["post-5514","post","type-post","status-publish","format-standard","hentry","category-article-type","category-data-in-repository","category-open-access","category-research-paper","cat-14-id","cat-110-id","cat-109-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5514","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/users\/109"}],"replies":[{"embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/comments?post=5514"}],"version-history":[{"count":4,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5514\/revisions"}],"predecessor-version":[{"id":5519,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5514\/revisions\/5519"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=5514"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=5514"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=5514"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}