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Báo cáo khoa học: Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements
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Tuyển tập các báo cáo nghiên cứu về lâm nghiệp được đăng trên tạp chí lâm nghiệp quốc tế đề tài:"Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements...
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Báo cáo khoa học: "Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements" Original article Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements F Houllier F Colin 1 INRA, Centre de Recherches Forestières de Nancy, Station de Recherches sur la Qualité des Bois, Champenoux, F-54280 Seichamps; 2 ENGREF, Laboratoire ENGREF/INRA de Recherches en Sciences Forestières, Unité Dynamique des Systèmes Forestiers, 14 rue Girardet, F-54042 Nancy Cedex, France (Received 5 March 1992; accepted 6 July 1992)Summary — This paper is part of a study proposing a new method for assessing the quality of woodresources from regional inventory data. One component of this method is a wood quality simulationsolfware that requires detailed input describing tree branchiness and morphology. The specific purposeof this paper is to construct models that predict the main characteristics of the crown for Norwayspruce. One hundred and seventeen spruce trees sampled in northeastern France have been de-scribed in detail. The position of the different parts of the crown, the size, the insertion angle, the num-ber and the position of the whorl branches have been predicted as functions of usual whole-tree meas-urements (ie diameter at breast height, total height, total age) and of the position of the growth unitalong the stem (ie distance to the top, and number of growth units counted downward or upward) forbranchiness prediction. The most efficient predictors of crown descriptors have been established andpreliminary models are proposed.branchiness / Picea abies Karst / modelling / wood quality / crown ratio / wood resourcesRésumé— Branchaison de l’épicéa commun dans le Nord-Est de la France : prédiction des prin-cipales caractéristiques du houppier à partir des mesures dendrométriques usuelles. Cette études’insère dans le cadre d’un projet qui vise à proposer une nouvelle méthode d’évaluation de la qualitéde la ressource à partir des données issues d’un inventaire forestier régional. Ce projet s’appuie notam-ment sur un logiciel de simulation de la qualité des sciages qui nécessite une description détaillée de lamorphologie et de la branchaison de chaque arbre. Cet article concerne spécifiquement l’épicéa com-mun et vise à proposer des modèles de prédiction des principales caractéristiques du houppier à partirdes données dendrométriques usuelles. Cent dix sept épicéas échantillonnés dans le Nord-Est de laFrance sont décrits en détail. La position des différentes zones du houppier, le diamètre, l’angle d’inser-tion, le nombre et la position des branches verticillaires sont prédits à partir des variables dendrométri-ques usuelles (diamètre à 1,30 m, âge et hauteur totale) et de la position de l’unité de croissance consi-dérée le long de la tige (distance à l’apex, âge ou numéro de l’unité de croissance) pour la prédiction dela branchaison. Les variables dendrométriques les plus efficaces (pour la prédiction) sont mises en évi-dence et des modèles préliminaires sont proposés. houppier / ressourcesbranchaison / Picea abies Karst / modélisation / du bois / qualité enboisINTRODUCTION prove the evaluation of the various wood products of Norway spruce in France. Since no branchiness data are collected byThe current interest in branchiness studies the NFS, the following question arose: is itfor forest trees is linked to several comple- possible, merely with usual tree measure-mentary factors: i) the search for a better ments, to predict the branchiness parame-description of the role of the crown com- ters wich constitute the input of SIMQUA?partment in growth and yield studies In order to answer this question, a de-(Mitchell, 1969, 1975; Vaïsänen et al, tailed description of a small sample of Nor-1989) and in forest decline evaluation way spruce was m ...
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Báo cáo khoa học: "Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements" Original article Branchiness of Norway spruce in northeastern France: predicting the main crown characteristics from usual tree measurements F Houllier F Colin 1 INRA, Centre de Recherches Forestières de Nancy, Station de Recherches sur la Qualité des Bois, Champenoux, F-54280 Seichamps; 2 ENGREF, Laboratoire ENGREF/INRA de Recherches en Sciences Forestières, Unité Dynamique des Systèmes Forestiers, 14 rue Girardet, F-54042 Nancy Cedex, France (Received 5 March 1992; accepted 6 July 1992)Summary — This paper is part of a study proposing a new method for assessing the quality of woodresources from regional inventory data. One component of this method is a wood quality simulationsolfware that requires detailed input describing tree branchiness and morphology. The specific purposeof this paper is to construct models that predict the main characteristics of the crown for Norwayspruce. One hundred and seventeen spruce trees sampled in northeastern France have been de-scribed in detail. The position of the different parts of the crown, the size, the insertion angle, the num-ber and the position of the whorl branches have been predicted as functions of usual whole-tree meas-urements (ie diameter at breast height, total height, total age) and of the position of the growth unitalong the stem (ie distance to the top, and number of growth units counted downward or upward) forbranchiness prediction. The most efficient predictors of crown descriptors have been established andpreliminary models are proposed.branchiness / Picea abies Karst / modelling / wood quality / crown ratio / wood resourcesRésumé— Branchaison de l’épicéa commun dans le Nord-Est de la France : prédiction des prin-cipales caractéristiques du houppier à partir des mesures dendrométriques usuelles. Cette études’insère dans le cadre d’un projet qui vise à proposer une nouvelle méthode d’évaluation de la qualitéde la ressource à partir des données issues d’un inventaire forestier régional. Ce projet s’appuie notam-ment sur un logiciel de simulation de la qualité des sciages qui nécessite une description détaillée de lamorphologie et de la branchaison de chaque arbre. Cet article concerne spécifiquement l’épicéa com-mun et vise à proposer des modèles de prédiction des principales caractéristiques du houppier à partirdes données dendrométriques usuelles. Cent dix sept épicéas échantillonnés dans le Nord-Est de laFrance sont décrits en détail. La position des différentes zones du houppier, le diamètre, l’angle d’inser-tion, le nombre et la position des branches verticillaires sont prédits à partir des variables dendrométri-ques usuelles (diamètre à 1,30 m, âge et hauteur totale) et de la position de l’unité de croissance consi-dérée le long de la tige (distance à l’apex, âge ou numéro de l’unité de croissance) pour la prédiction dela branchaison. Les variables dendrométriques les plus efficaces (pour la prédiction) sont mises en évi-dence et des modèles préliminaires sont proposés. houppier / ressourcesbranchaison / Picea abies Karst / modélisation / du bois / qualité enboisINTRODUCTION prove the evaluation of the various wood products of Norway spruce in France. Since no branchiness data are collected byThe current interest in branchiness studies the NFS, the following question arose: is itfor forest trees is linked to several comple- possible, merely with usual tree measure-mentary factors: i) the search for a better ments, to predict the branchiness parame-description of the role of the crown com- ters wich constitute the input of SIMQUA?partment in growth and yield studies In order to answer this question, a de-(Mitchell, 1969, 1975; Vaïsänen et al, tailed description of a small sample of Nor-1989) and in forest decline evaluation way spruce was m ...
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