{"id":5634,"date":"2023-02-17T16:00:05","date_gmt":"2023-02-17T15:00:05","guid":{"rendered":"https:\/\/ist.blogs.inrae.fr\/afs\/?p=5634"},"modified":"2023-02-17T09:51:36","modified_gmt":"2023-02-17T08:51:36","slug":"two-new-methods-applied-to-crown-width-additive-models-a-case-study-for-three-tree-species-in-northeastern-china","status":"publish","type":"post","link":"https:\/\/ist.blogs.inrae.fr\/afs\/2023\/02\/17\/two-new-methods-applied-to-crown-width-additive-models-a-case-study-for-three-tree-species-in-northeastern-china\/","title":{"rendered":"Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China"},"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\/2023\/02\/Wang-J-et-al-2023-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-5639 alignright\" src=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2023\/02\/Wang-J-et-al-2023-1-300x207.png\" alt=\"\" width=\"300\" height=\"207\" srcset=\"https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2023\/02\/Wang-J-et-al-2023-1-300x207.png 300w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2023\/02\/Wang-J-et-al-2023-1-768x529.png 768w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2023\/02\/Wang-J-et-al-2023-1-640x441.png 640w, https:\/\/ist.blogs.inrae.fr\/afs\/wp-content\/uploads\/sites\/5\/2023\/02\/Wang-J-et-al-2023-1.png 816w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Key message<\/strong><\/p>\n<p align=\"justify\">The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width (CW) additive models of larch (<em>Larix gmelinii<\/em> Rupr.), birch (<em>Betula platyphylla<\/em> Suk.), and poplar (<em>Populus davidiana<\/em> Dode). The crown radii in four directions (CR) exhibited different growth trends and responded differently to tree size and competition variables. In the absence of calibration, GAM was more accurate than NSURMEM for CR and CW predictions.<\/p>\n<p><strong>Keywords<\/strong><br \/>\nCrown radii; Crown growth patterns; <em>Larix gmelinii<\/em> Rupr.; <em>Betula platyphylla<\/em> Suk.; <em>Populus davidiana<\/em> Dode; Natural secondary forests<\/p>\n<div class='altmetric-embed' data-badge-type='donut' data-doi='10.1186\/s13595-022-01165-5'  style='float: right; ' ><\/div>\n<p><strong>Publication<\/strong><br \/>\nWang, J., Jiang, L., Xin, S. et al. Two new methods applied to crown width additive models: a case study for three tree species in Northeastern China. Annals of Forest Science 80, 11 (2023). <a href=\"https:\/\/doi.org\/10.1186\/s13595-022-01165-5\">https:\/\/doi.org\/10.1186\/s13595-022-01165-5<\/a><\/p>\n<p><strong>Data and\/or Code availability<\/strong><br \/>\nThe data used in the current study can be obtained from the corresponding author with reasonable requirements.<\/p>\n<p><strong>Handling Editor<\/strong><br \/>\nJohn M. Lhotka<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Key message The non-linear seemingly unrelated regression mixed-effects model (NSURMEM) and generalized additive model (GAM) were applied for the first time in crown width (CW) additive models of larch (Larix gmelinii Rupr.), birch (Betula platyphylla Suk.), and poplar (Populus davidiana Dode). The crown radii in four directions (CR) exhibited different growth trends and responded differently [&hellip;]<\/p>\n","protected":false},"author":109,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14,109,15],"tags":[],"class_list":["post-5634","post","type-post","status-publish","format-standard","hentry","category-article-type","category-open-access","category-research-paper","cat-14-id","cat-109-id","cat-15-id"],"_links":{"self":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5634","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=5634"}],"version-history":[{"count":4,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5634\/revisions"}],"predecessor-version":[{"id":5640,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/posts\/5634\/revisions\/5640"}],"wp:attachment":[{"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/media?parent=5634"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/categories?post=5634"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ist.blogs.inrae.fr\/afs\/wp-json\/wp\/v2\/tags?post=5634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}