Canadian Forest Service Publications
Modèle de prédiction des essences feuillues et résineuses du Québec. 1982. Ung, C.-H.; Beaulieu, J.; Demers, D. Canadian Journal of Forest Research 12 : 232-239.
Issued by: Laurentian Forestry Centre
Catalog ID: 14344
CFS Availability: PDF (request by e-mail)
This paper describes a prediction model adopted by the Department of Energy and Resources of Quebec to (i) update temporary sample plots and (ii) project into the future the state of permanent sample plots in Quebec forests. Predicting the growth of a forest species means predicting the state of this species in time. Three basic characteristics mark the state of a species in a given year: number of 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 presented in this paper 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 eneven-aged stands. The prediction model was validated for 19 species found in a pilot territory located in the Basse-Gatineau (southwestern Quebec). The paper terminates with a discussion on the limitation of the prediction model and the conditions for its use.