Canadian Forest Service Publications
Croissance des essences feuillues et résineuses : conception, utilisation d'un modèle de prédiction. 1982. Ung, C.-H.; Beaulieu, J.; Demers, D. Environnement Canada, Service canadien des forêts, Centre de recherches forestières des Laurentides, Sainte-Foy (Québec).
Issued by: Laurentian Forestry Centre
Catalog ID: 16218
CFS Availability: PDF (request by e-mail)
Predicting the growth of a forest species means predicting the state of this species into time. Three basic characteristics mark the state of this species in a given year number of merchantable living trees, their total basal area and their total volume. To date, in Quebec, normal or empirical yield tables have been used to predict the state of some species in ideal or real growth conditions; but these yield tables apply only to pure or almost pure even-aged stands. The prediction model for hardwood and softwood species serves the same purpose as the yield tables. However it differs from the yield tables in that it can predict the state of each hardwood or softwood species found in pure or mixed, even or uneven-aged stands. The model was validated for 19 species found in a pilot territory located in the Basse-Gatineau (southwestern Quebec). As the model is flot a crystal ball, it is necessary to discuss on the limitation and the conditions for its use. At last, is explained the utilization of the model to update temporary sample plots.