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Predicting hardwood quality and its evolution over time in Quebec's forests / Hughes Power in Forestry, an international journal of forest research, vol 91 n° 3 (July 2018)  

Public [article]  inForestry, an international journal of forest research > vol 91 n° 3 (July 2018) . - pp 259 - 270 Titre : Predicting hardwood quality and its evolution over time in Quebec's forests Type de document : Article/Communication Auteurs : Hughes Power, Auteur ; Filip Havreljuk, Auteur Année de publication : 2018 Article en page(s) : pp 259 - 270 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bois [Termes IGN] forêt [Termes IGN] qualité du bois [Termes IGN] Québec (Canada) [Vedettes matières IGN] Economie forestière Résumé : (Auteur) 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. Numéro de notice : A2018-636 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpw059 Date de publication en ligne : 09/11/2016 En ligne : https://doi.org/10.1093/forestry/cpw059 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93245 [article]