Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: A state-space approach to stand growth modelling of European beech. | Ann. For. Sci. 64 2007 365-374 INRA EDP Sciences 2007 DOI forest 2007013 Available online at Original article A state-space approach to stand growth modelling of European beech Thomas Nord-Larsen Vivian K. JOHANNSEN Forest Landscape Denmark Copenhagen University H0rsholm Kongevej 11 DK-2970 H0rsholm Denmark Received 7 September 2006 accepted 20 December 2006 Abstract - Static models of forest growth such as yield tables or cumulative growth functions generally fail to recognize that forest stands are dynamic systems subject to changes in growth dynamics due to silvicultural interventions or natural dynamics. Based on experimental data covering a wide range of initial spacings and thinning practises we developed a dynamic stand growth model of European beech in Denmark. The model entailed three equations for predicting dominant height growth basal area growth and mortality. The signs of the parameter estimates generally corroborated the anticipated growth paths of dominant height and basal area. Although statistical tests indicated significant systematic deviations between observed and predicted values the deviations were small and of little practical importance. Cross validation procedures indicated that the model may be applied across a wide range of growth conditions and thinning practises without significant loss of precision. difference equation dominant height basal area stem number Fagus sylvatica L. Résumé - Une approche état-espace de la modélisation de la croissance des peuplements de hêtre. Les modèles statiques de croissance des peuplements forestiers tels que les tables de production ou les fonctions cumulatives de croissance ne reconnaissent pas que les peuplements forestiers sont des systèmes dynamiques soumis à des changements de dynamiques de croissance dus aux interventions sylvicoles ou à des dynamiques naturelles. Sur la base de données expérimentales couvrant un large éventail d espacements initiaux et de pratiques d
