Leban Jean-Michel, Houllier François, Pignard Gérôme, Saint André Laurent.
1999. Assessment of long-term changes in timber quality : combining national forest inventory data and growth and wood quality models.
In : Causes and consequences of accelerating tree growth in Europe : International seminar, Nancy, 17-19 may 1998. Timo Karjalainen ; Heinrich Spiecker ; Olivier Laroussinie (eds.)
Autre titre : Estimation des changements à long terme de la qualité du bois en combinant les données de l'Inventaire Forestier National et des modèles de croissance et de qualité du bois
Résumé : In this paper, the authors propose to assess the timber quality of a standing tree from usual forest inventory measurements such as tree age, height and diameter at breast height. Growth equations are used to reconstruct the past growth of a tree and to predict its current internal structure, namely ring distribution. These models are linked to allometric equations that estimate the characteristics of branches, to models that predict physical wood properties such as wood basic density from ring distribution and to a glass-log software that simulates the sawing and grading of any board located in a stem whose morphology is known in detail. The French Forest Inventory data for Norway spruce are available at three dates : 1973, 1981 and 1992 (C1, C2 and C3). One of the most important French districts for Norway spruce in France, the Vosges district, has been chosen. Between the first and second forest inventory, both forest area and total volumes have increased. Between C2 and C3, the forest area remains the same but the standing volume has increased consequently. In the second part of this paper the authors analyse, for the three dates, the stands dominant heights for the same stand age classes; the stand ages for similar breast height diameter classes; the timber properties for similar breast height diameter classes. In the last part, they discuss the possibility of taking into account the increase of fertility into a stand growth and wood quality model modelling approach
Mots-clés Agrovoc : Picea abies, Abies alba, bois, qualité, croissance, modèle de simulation, inventaire forestier, dimension, propriété du bois
Mots-clés géographiques Agrovoc : Alsace, France
Classification Agris : K10 - Production forestière
U10 - Informatique, mathématiques et statistiques
F62 - Physiologie végétale - Croissance et développement
Auteurs et affiliations
- Leban Jean-Michel, INRA (FRA)
- Houllier François, CIRAD-AMIS-AMAP (FRA)
- Pignard Gérôme, IFN [Inventaire forestier national] (FRA)
- Saint André Laurent, INRA (FRA)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/263831/)
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