


{"id":82610,"date":"2020-04-17T13:39:44","date_gmt":"2020-04-17T17:39:44","guid":{"rendered":"https:\/\/mrnf.gouv.qc.ca\/nos-publications\/predicting-hardwood-quality-evolution-over-time-quebec-forests\/"},"modified":"2020-04-17T13:39:44","modified_gmt":"2020-04-17T17:39:44","slug":"predicting-hardwood-quality-evolution-over-time-quebec-forests","status":"publish","type":"cpt_publication","link":"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/predicting-hardwood-quality-evolution-over-time-quebec-forests\/","title":{"rendered":"Predicting hardwood quality and its evolution over time in Quebec\u2019s forests"},"content":{"rendered":"\n<p>Published in <strong>Forestry 91(3): 259-270. doi:\u00a010.1093\/forestry\/cpw059<\/strong><\/p> <p>Long-term success of forest management requires knowledge of standing tree characteristics and, an estimation of their evolution over time. In this study, hardwood stem quality was assessed using a specifically designed, non-destructive quality classification system that comprises four categorical output classes based on stem size and occurrence of external defects. We used data from national forest inventory sample plots distributed across Quebec (Canada) to predict hardwood stem quality and its evolution over time. We used ordinal logistic regression to model multiple stem quality classes. Hardwood stem quality was strongly related to stem harvest priority class and bioclimatic subdomain. Stem quality generally improved with d.b.h. and stand basal area. Changes in hardwood stem quality were strongly related to initial stem quality, with most trees retaining their initial quality over time. Stem quality evolution was also positively related to diameter growth. Overall, both initial and future stem quality were estimated with acceptable precision and minimal bias. Our results suggest that the equations could predict hardwood stem quality distribution and evolution among groups of forest stands.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Published in Forestry 91(3): 259-270. doi:\u00a010.1093\/forestry\/cpw059 Long-term success of forest management requires knowledge of standing tree characteristics and, an estimation of their evolution over time. In this study, hardwood stem quality was assessed using a specifically designed, non-destructive quality classification system that comprises four categorical output classes based on stem size and occurrence of external [&hellip;]<\/p>\n","protected":false},"template":"","format":"standard","cptt_secteur":[1179],"cptt_theme":[1184,1180,1181],"cptt_categ_publi":[1149],"cptt_auteurs_ministeriels":[1089,1107],"class_list":["post-82610","cpt_publication","type-cpt_publication","status-publish","format-standard","hentry","cptt_secteur-forests","cptt_theme-forest-growth-and-yield-modelling","cptt_theme-forestry-research","cptt_theme-forests","cptt_categ_publi-scientific-article","cptt_auteurs_ministeriels-f-havreljuk","cptt_auteurs_ministeriels-h-power"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Predicting hardwood quality and its evolution over time in Quebec\u2019s forests - Minist\u00e8re des Ressources naturelles et des For\u00eats<\/title>\n<meta name=\"description\" content=\"Our results suggest that the equations could predict hardwood stem quality distribution and evolution among groups of forest stands.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mrnf.gouv.qc.ca\/en\/our-publications\/predicting-hardwood-quality-evolution-over-time-quebec-forests\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting hardwood quality and its evolution over time in Quebec\u2019s forests - 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