Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp quốc tế đề tài: Modelling the profile and internal structure of tree stem. Application to Cedrus atlantica (Manetti). | Ann. For. Sci. 59 2002 63-80 INRA EDP Sciences 2002 DOI forest 2001006 63 Original article Modelling the profile and internal structure of tree stem. Application to Cedrus atlantica Manetti Franẹois Courbeta and Franẹois Houllierb a Unité de Recherches forestières méditerranéennes INRA avenue Antonio Vivaldi 84000 Avignon France b UMR botanique et bioinformatique de 1 architecture des plantes CIRAD TA40 PS2 boulevard de la Lironde 34398 Montpellier Cedex 5 France Received 10 July 2001 accepted 6 September 2001 Abstract - A set of compatible models are established to simulate the profile and internal structure of stems ring distribution bark and sapwood profiles. First models are built tree by tree they are then generalized by establishing relationships between the estimates of treewise model parameters and the individual tree characteristics. The residuals are examined against the relative height or distance from the apex. Using an independent sample of 4 trees the observed stem and annual increment profiles are compared to the modelled profiles firstly using a stem profile model and secondly using a ring profile established previously 10 . Generally each model proves to be more accurate when used directly to predict the type of profile - stem or increment - for which it has been calibrated. In the lower part of the tree the ring profile model gives less biased and more accurate estimates of ring width and tree diameter than the stem profile models. stem profile growth ring profile bark profile sapwood profile Cedrus atlantica Résumé - Modélisation du profil et de la structure interne de la tige. Application à Cedrus atlantica Manetti . Un ensemble de modèles compatibles entre eux sont établis pour simuler le profil des tiges et leur structure interne distribution des largeurs de cerne profils d écorce et d aubier. Des modèles sont d abord construits arbre par arbre puis généralisés par recherche de relations entre les paramètres estimés au niveau arbre et
