Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp Original article đề tài: "Modelling height and diameter growth of dominant cork oak trees in Spain" | Ann. For. Sci. 62 2005 633-643 INRA EDP Sciences 2005 DOI forest 2005065 633 Original article Modelling height and diameter growth of dominant cork oak trees in Spain Mariola SÁNCHEZ-GONZÁLEZa Margarida TOMÉb Gregorio MONTEROa a Centro de Investigation Forestal CIFOR-INIA Ctra. De La Coruna km 7 5 28040 Madrid Spain b Departament of Forestry Instituto Superior de Agronomia Universidade Técnica de Lisboa Tapada de Ajuda 1349-017 Lisbon Portugal Received 15 November 2004 accepted 3 March 2005 Abstract - A plan for sustainable management is urgently required for cork oak forests. This objective is only attainable through growth models that allow us to predict the medium and long term consequences of different silvicultural treatments. In this study we have developed height and diameter growth models for dominant cork oak trees using stem analysis data from two of the main cork producing areas in Spain. Difference forms of the Lundqvist-Korf McDill-Amateis and Richards growth functions were tested and fitted using the generalized least squares regression method. The parameters of the equations were linked to stand characteristics in order to improve the models. The difference form of the McDill-Amateis equation was selected for height growth while the difference form of the Richards equation with n as the free parameter was selected for diameter growth. These models increase our knowledge of the growth of this species and therefore will enable us to improve management planning in cork oak forests. growth models Quercus suber site index dominant trees sustainability Résumé - Modèles de croissance en hauteur et en diamètre pour des chênes-lièges dominants en Espagne. Un nouveau plan d aménagement pour la gestion durable des peuplements de chêne-liège est nécessaire. Cet objectif est realisable seulement si l on dispose des modèles de croissance permettant de prévoir les conséquences de différents traitements sylvicoles. On a développé sur la base des données d .
