Modelling wood density and modulus of elasticity in white spruce plantations in Eastern Québec

Author:

Tony Franceschini1,Thibaut Ferraille1,Guillaume Giroud2,Julie Barrette2,Robert Schneider1

Affiliation:

1. Département de Biologie, Chimie et Géographie, Chaire de Recherche sur la Forêt Habitée, Université du Québec à Rimouski (UQAR), Rimouski, Canada

2. Direction de la recherche forestière, Ministère des Forêts, de la Faune et des Parcs du Québec, 2700 Einstein, Québec, QC G1P 3W8, Canada

Abstract

Forest managers have to take into account multiple objectives such as stand yield, wood quality attributes, ecological constraints and social considerations when making their decisions. The objective of the present study is to build (i) a dynamicmodulus of elasticity (MOEdyn) model and (ii) a core wood density (WDcore) model for white spruce plantations in theBas-Saint-Laurent Region (Québec, Canada) to quantify their inter- and intra-stand variations in order for managers tobetter weigh their different options. Using data obtained from 54 sample plots in 31 white spruce plantations from Eastern Québec, the MOEdynof 143 trees and the WDcoreof 162 trees were analysed. Dendrometric and stand variables wereused to build a MOEdynlinear mixed-effect model and a WD multiple linear regression model. The MOEdynmodel explained 66.8% of the total variation, 1.1% of which originated from inter-stand variations. MOEdynwas proportionalto diameter at breast height (DBH) and non-linearly decreased with tree growth rate. The WDcoremodel explained 16.0%of the total variation. The intra-stand variations were represented by a negative relationship between WDcoreand growthrate. Inter-stand variations were accounted for by site index and altitude. The performance of the MOEdynmodel was satisfactory and in accordance with the literature. However, the WDcoremodel was below standard, mainly as a consequenceof unaccounted intra-individual variations. Nonetheless, raw simulations using these models suggest that white sprucewood from plantations may benefit from intensive forest management.

Publisher

Canadian Institute of Forestry

Subject

Forestry

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