Modelling the number of rings in individual logs of norway spruce

Scandinavian Journal of Forest Research

Volumn 15, Issue 1, 2000, Pages 135-143

  Saint André, Laurent ^a   Hervé, Jean Christophe ^b   Leban, Jean Michel ^a  

^a CEMAGREF   (France)

^b AGROPARISTECH   (France)

Author keywords

Individual log assessment; Modelling; Picea abies; Ring width

Indexed keywords

ANNUAL RING; LOGGING; MODEL; SIZE; WHORL;

MATHEMATICAL MODELS; PLANTS (BOTANY);

ANNUAL RINGS; PICEA ABIES;

FORESTRY;

PICEA ABIES;

EID: 0034021755     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827580050160574     Document Type: Article

References (9)

1. Anon. 1989. SAS/STAT® User’s Guide, Version 6, 4th edn, Vol. 1, 943 pp. SAS Institute, Cary, NC. ISBN 1-55544376-1.
2. Bostrom, L. 1994. Machine strength grading. Comparison of four different systems. Swedish National Testing and Research Institute, Building Technology, SP Report 1994: 49, 37 pp. ISBN 91-7848-508-8, ISSN 0284-5172.
3. Grundberg, S. & Gronlund, A. 1997. Simulated grading of logs with an X-ray log scanner—grading accuracy compared with manual grading. Scand. J. For. Res. 12: 70-76.
4. Leban, J. -M. 1995. Modelisation de la croissance et de la qualite des bois. Estimation des proprietes des sciages d’une ressource forestiere: application d’une a l’Epicea commun (Picea abies Karst.), Rev. For. Franc., Numero special XLVII: 131-140 (In French.)
5. Lindgren, L. O. 1991. Medical CAT-Scanning: X-ray absorption coefficients, CT-numbers and their relation to wood density. Wood Sci. Technol. 25: 341-349.
6. Lorieux, M. 1990. Essai de modelisation de la croissance de l’Epicea commun du Nord-est de la France a partir des donnees de l’Inventaire Forestier National. Universite Claude Bernard Lyon I, CNRS-URA 243, Rapport technique de DEA Analyse et modelisation des systemes biologiques, 39 pp. (In French.)
7. Mitchell, K. J. 1975. Dynamics and simulated yield of Douglas-fir. For. Sci. Mon. 17, 39 pp.
8. Olson, J. R. & Chang, S. J. 1990. Nuclear magnetic resonance imaging: a noninvasive analysis of moisture distribution in white oak lumber. Can. J. For. Res. 20: 586-591.
9. Richards, F. J. 1959. A flexible growth function for empirical use. J. Exp. Bot. 10 (29): 290-300.