Emmanuel Duchateau
Laval University
10 Papers
12 Citations
Emmanuel Duchateau is an academic researcher from Laval University. The author has contributed to research in topics: Black spruce & Thinning. The author has an hindex of 5, co-authored 10 publications. Previous affiliations of Emmanuel Duchateau include Government of Quebec & Université du Québec à Rimouski.
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Papers
Modelling knot morphology as a function of external tree and branch attributes
TL;DR: In this article, the authors present a model for describing knot morphology based on polynomial functions with parameters that are often not biologically interpretable and thus they are difficult to integrate into existing models.
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Radial trends in black spruce wood density can show an age- and growth-related decline
TL;DR: Describing and quantifying radial density patterns, including the decline close to the bark, will help further the understanding of the links between tree growth and ring density over the life of the tree.
White spruce wood quality for lumber products: priority traits and their enhancement through tree improvement
Mariana Hassegawa,Mylène Savard,Patrick Lenz,Patrick Lenz,Emmanuel Duchateau,Nancy Gélinas,Jean Bousquet,Alexis Achim +7 more
TL;DR: In this paper, the importance of white spruce wood traits for the lumber industry was defined, with the intent of guiding tree breeding programs, and the level of acceptance of raw material with optimal traits was analyzed.
Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
TL;DR: Models linking knot ontogeny to the secondary growth of the main stem in black spruce provide support for ‘Milton’s Law,’ since they indicate that allocation priority is given to locations where the potential return is the highest.
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Density and diameter distributions of saplings in naturally regenerated and planted coniferous stands in Québec after various approaches of commercial thinning
TL;DR: In this article, a model describing species composition, density and diameter distribution of saplings was developed from operational inventory data, which could be used as an input into growth models calibrated exclusively with merchantable trees to correct some recruitment bias.