Predicting product recovery accurately from Jack pine inventory measurements

背景：长期以来，从森林调查中估计的木材蓄积量一直被用来制定/作出各种森林管理政策/决定。众所周知，在产品回收方面，每立方米木材的产量并不相等。因此，为了更好地作出知情的森林管理和最终用途决定，有必要直接估计从森林清查中回收的产品。用3-D树干几何数据可以准确地估计产品从树上的回收率。然而，不可能使用库存数据来描述具有阀杆变形的3-D阀杆几何形状。因此，该项目提出了一种原创和创新的方法，作为应对这一挑战的替代方案。总体目标：该项目旨在开发一个针对树干变形的木材恢复修正模型，以直接和准确地估计森林调查的产品恢复情况。方法：分两个阶段在5年内完成工作：1)实形和虚形树干的锯切模拟与优化&两种树干木材回收率差异与树体和林分特征关系的数学建模；2)树干分析，建立两种树干形态与木材回收率差异与树龄的关系。新知识/新益处：该项目首先将有助于HQP的培训。它将填补我们在两种类型的树干之间的木材恢复差异以及它们与树木/林分特征关系方面的知识空白。因此，可以首次建立管杆变形的修正模型。该模型将允许从森林调查数据中准确地估计产品恢复情况。因此，可以根据所获得的产品回收知识作出各种森林管理决策，以实现木材蓄积量以外的具体目标。森林资源的虚拟加工还将有助于优化营林规划和采伐计划，以最大限度地实现资源价值，并更好地满足特定产品的制造和市场需求。

BACKGROUND: Wood volume estimated from forest inventory has long been used to develop/make various forest management policies/decisions. It is well-known that each m3 of wood is not created equally in terms of product recovery. To make better informed forest management and end-use decisions, it is therefore necessary to estimate product recovery directly from forest inventory. Product recovery from a tree can be estimated accurately with 3-D stem geometrical data. However, it is not possible to describe 3-D stem geometry with stem deformation using inventory data. Therefore, this project proposes an original and innovative approach as an alternative to addressing this challenge. OVERALL OBJECTIVE: The project is to develop a lumber recovery correction model for stem deformations to estimate product recovery directly and accurately from forest inventory. APPROACH: The work will be completed in 5 years in 2 phases: 1) sawing simulation & optimization for real-shape and virtual stems & mathematical modeling of the relationships of lumber recovery differences between the two types of stems with tree and stand characteristics, 2) stem analysis and establishment of the relationship of stem form and lumber recovery differences between the two types of stems with tree age. NEW KNOWLEDGE/BENEFITS: The project first of all will contribute to the training of HQP. It will fill the gap in our knowledge of the lumber recovery differences between two types of stems, and their relationships with tree/stand characteristics. Thus, a correction model for stem deformations could be developed for the first time. The model will allow to estimate product recovery accurately from forest inventory data. Therefore, various forest management decisions can be made based on the acquired knowledge of product recovery to achieve specific objectives beyond wood volume. The virtual processing of the forest resource will also help optimize silvicultural planning and harvesting schedules to maximize the resource value, and to better meet manufacturing and market requirements for specific products.