%0 Journal Article
%A Pothier, D.
%A Fortin, M.
%A Auty, D.
%A Delisle-Boulianne, S.
%A Gagne, L.-V.
%A Achim, A.
%T Improving tree selection for partial cutting through joint probability modelling of tree vigor and quality
%B Canadian Journal of Forest Research
%D 2013
%V 43
%P 288-298
%N 3
%X Tree classification systems are generally designed to predict the
supply of high-quality logs for the wood processing industries and
to mark defective trees for removal with the aim of improving both
the vigor and quality of future stands. Although these two objectives
are generally inversely related, their joint consideration could
enable the development of robust criteria for improved tree selection
in partial cuttings of northern hardwood stands by targeting low-vigor
(LV) trees of high quality (HQ). In this study, we used a copula
approach to model the joint probability distribution of trees characterized
by both vigor and quality, which accounts for the statistical dependence
between the different classes of both classification systems. The
relationships between the probability of occurrence of a tree in
each joint category and tree diameter at breast height (DBH) were
quite similar among the three studied species: yellow birch (Betula
alleghaniensis Britt.), sugar maple (Acer saccharum Marsh.), and
American beech (Fagus grandifolia Ehrh.). In particular, the probability
of occurrence of LV-HQ trees was characterized by a parabolic curve
with a maximum value attained at the mid-DBH range, whereas that
of LV and low-quality (LQ) trees increased with increasing DBH. This
suggests that instead of harvesting large and mostly LV-LQ trees,
partial cutting should target smaller LV-HQ trees, so that the volume
of harvested HQ trees would increase without compromising the silvicultural
objective of improving the vigor of future stands.
%2 Export Date: 7 May 2013
Source: Scopus
CODEN: CJFRA
:doi 10.1139/cjfr-2012-0402
%( 00455067 (ISSN)
%K Acer saccharum marsh, Classification system, Joint probability, Joint
probability distributions, Northern hardwoods, Probability of occurrence,
Statistical dependence, Wood processing industry, Hardwoods, Probability
distributions, Forestry, deciduous forest, ecological modeling, harvesting,
probability, silviculture, stand structure, vigor, Distribution,
Forestry, Hardwoods, Probability
%# Luc
%Z timestamp=(2013.05.07)
%U http://www.scopus.com/inward/record.url?eid=2-s2.0-84875870070&partnerID=40&md5=cd051a32768ece9072b593a123e0d8d5
%F PothierFortinAutyEtAl2013
%3 BibTeX type = ARTICLE