Improving tree selection for partial cutting through joint probability modelling of tree vigor and quality
Improving tree selection for partial cutting through joint probability modelling of tree vigor and quality
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DOI：
10.1139/cjfr-2012-0402
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发表时间：
2013-01
影响因子：
2.2
通讯作者：
D. Pothier;M. Fortin;D. Auty;Simon Delisle-Boulianne;Louis Gagné;A. Achim
中科院分区：
文献类型：
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作者：
D. Pothier;M. Fortin;D. Auty;Simon Delisle-Boulianne;Louis Gagné;A. Achim
树木分类系统通常用于预测木材加工行业的高质量原木供应，并标记有缺陷的树木，以提高未来林分的活力和质量。虽然这两个目标通常是负相关的，他们的共同考虑，可以使强大的标准，改善树木选择部分插条的北方硬木林的目标低活力（LV）的高品质（HQ）的树木。在这项研究中，我们使用Copula方法来模拟联合概率分布的树木的特点是活力和质量，这占两个分类系统的不同类别之间的统计依赖性。3个树种中，每一节类中树木出现的概率与胸径之间的关系非常相似：黄桦（Betula alleghaniensis布里特.），糖枫（Acer saccharum Marsh.），而且...
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 ...