Canadian Forest Service Publications
Revue de l’état actuel des modèles de prédiction de la qualité du bois et des systèmes d’aide à la décision au Canada. 2015. Defo, M.; Duchesne, I.; Stewart, J. Rapport d’information FI-X-012F. RNCan, SCF, CCFB, Québec (Québec). 118 p.
Available from: Laurentian Forestry Centre
Catalog ID: 36781
Series: Information Report (CWFC - CFS)
CFS Availability: PDF (download)
Plain Language Summary
The authors of this information report indexed over 350 models used to predict wood quality attributes of some commercially-important softwood species. The purpose of this project was to facilitate the integration of wood quality prediction models into growth simulators or value chain optimization tools so that the forest and wood product industries could maximize the benefits derived from such models.
Among the characteristics included in the models were tapering, wood density, coefficient of elasticity, as well as branching and nodes. Based on the results of this analysis and the information collected during a workshop held simultaneously in Victoria and Quebec City in 2015, the authors were able to identify certain gaps, which led to the following recommendations:
- Create an internal team to integrate wood quality prediction models for the Canadian Wood Fibre Centre and FPInnovations, which would take on an advisory role and be comprised of specialists from a variety of fields;
- Integrate economic aspects into wood quality prediction models and decision support systems; and
- Establish a national working group, network or community of practice to bring together researchers and forest sector stakeholders in order to more effectively coordinate any research efforts deemed necessary.
Also available under the title:
A review of the current state of wood quality modelling and decision support systems in Canada. (English)
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