A comprehensive framework to evaluate the financial impacts of genetic improvement on wood products from planted forests

Increasing the productivity of planted forests may efficiently provide an important part of the world’s growing demand for wood while protecting natural forests. In this study, we developed an integrated modelling framework to evaluate the financial impacts of improving productivity of planted forests by tree breeding. Using this framework, we compared three genetic improvement scenarios of white spruce plantations, a key reforestation species in North America, and evaluated the differences in the derived wood product assortments in terms of quantity, quality, and revenues. Favouring the production of wood volume appears as the best way to enhance financial gains from white spruce plantations in the current market. The scenario that focused on increasing tree height produced a greater volume of wood products and larger lumber pieces, which resulted in the greatest revenues. In comparison, favouring wood stiffness over volume led to poorer results, as the increased product quality was not sufficient to surpass the financial gain associated with greater wood volumes. While we successfully provided an evaluation of the product assortments derived from genetically improved plantations, the proposed framework would benefit from more data input to help maximize financial gains from a range of tree breeding strategies.

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Publication Details

Journal
Canadian Journal of Forest Research
Published
2024-10-22
DOI
https://doi.org/10.1139/cjfr-2024-0057
Citations
2
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.57
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article

A comprehensive framework to evaluate the financial impacts of genetic improvement on wood products from planted forests

Christine Bombardier‐Cauffopé, Alexis Achim, André Soro, Catherine Chagnon et al.
2 citations
Canadian Journal of Forest Research
Forest Management and Policy
0.57
article

A comprehensive framework to evaluate the financial impacts of genetic improvement on wood products from planted forests

Christine Bombardier‐Cauffopé, Alexis Achim, André Soro, Catherine Chagnon, P. Lenz, Vincent Chamberland, Nancy Gélinas, Isabelle Duchesne, Guillaume Moreau, Jean Bousquet, Julie Barrette, Emmanuelle Baby-Bouchard
article en
2 citations

Abstract

Increasing the productivity of planted forests may efficiently provide an important part of the world’s growing demand for wood while protecting natural forests. In this study, we developed an integrated modelling framework to evaluate the financial impacts of improving productivity of planted forests by tree breeding. Using this framework, we compared three genetic improvement scenarios of white spruce plantations, a key reforestation species in North America, and evaluated the differences in the derived wood product assortments in terms of quantity, quality, and revenues. Favouring the production of wood volume appears as the best way to enhance financial gains from white spruce plantations in the current market. The scenario that focused on increasing tree height produced a greater volume of wood products and larger lumber pieces, which resulted in the greatest revenues. In comparison, favouring wood stiffness over volume led to poorer results, as the increased product quality was not sufficient to surpass the financial gain associated with greater wood volumes. While we successfully provided an evaluation of the product assortments derived from genetically improved plantations, the proposed framework would benefit from more data input to help maximize financial gains from a range of tree breeding strategies.

Canadian Journal of Forest ResearchVol. 55
Canadian Forest Service (CA), Natural Resources Canada (CA), FPInnovations (CA), Ontario Genomics (CA), CRB Innovations (Canada) (CA), Laboratoire des Matériaux Avancés (FR), Forest Research (GB), Ministère des Ressources naturelles et des Forêts (Québec) (CA), Ministère des Ressources naturelles et des Forêts (CA), Université Laval (CA)
Openalex Percentile: Top 33%
Forest Management and Policy
0.57
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