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应用生态学报 ›› 2021, Vol. 32 ›› Issue (10): 3437-3447.doi: 10.13287/j.1001-9332.202110.029

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黑龙江不同区域人工红松心边材及树皮削度可加性模型系统构建

苏巴提·赛达合买提, 贾炜玮*   

  1. 东北林业大学林学院, 森林生态系统可持续经营教育部重点实验室, 哈尔滨 150040
  • 收稿日期:2021-05-27 修回日期:2021-07-24 出版日期:2021-10-15 发布日期:2022-04-15
  • 通讯作者: * E-mail: jiaww2002@163.com
  • 作者简介:苏巴提·赛达合买提, 男, 1995年生, 硕士研究生。主要从事林分生长与收获模型研究。E-mail: 936894460@qq.com
  • 基金资助:
    国家自然科学基金项目(31870622)和中央高校基本科研业务费专项资金项目(2572019CP08)资助

Construction of the additive model system for heartwood, sapwoodand bark taper of Pinus koraiensis plantation in different regions of Heilongjiang Province, China

SUBATI Saidahemaiti, JIA Wei-wei*   

  1. Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Mana-gement, School of Forestry, Northeast Forestry University, Harbin 150040, China
  • Received:2021-05-27 Revised:2021-07-24 Online:2021-10-15 Published:2022-04-15
  • Contact: * E-mail: jiaww2002@163.com
  • Supported by:
    National Natural Science Foundation of China (31870622) and the Special Fund Project for Basic Research in Central Universities (2572019CP08).

摘要: 基于黑龙江省孟家岗林场、东京城林业局和林口林业局不同林分条件下103株人工红松解析木的2977个圆盘数据,结合林业研究中常见的Kozak(1988)、Muhairwe(1999)、Lee(2003)、Kozak(2004)可变指数削度方程,构建带皮直径、心材直径、边材宽度、树皮厚度的削度方程,并对比选出最优基础模型;采用SAS软件PROC MODEL模块中似乎不相关回归(SUR),建立带皮直径、心材直径、边材宽度和树皮厚度削度方程的可加性模型系统,同时将区域作为哑变量引入模型中,通过调整确定系数(Radj2)、均方根误差(RMSE)、赤池信息准则(AIC)、贝叶斯信息准则(BIC)等模型评价指标,对模型进行综合评价。结果表明: 带皮直径、心材直径、边材宽度和树皮厚度最优基础模型均为Kozak(2004);可加性模型系统在满足各分量与总量可加性的基础上,也得到较好的预测效果,预估精度均达到98%以上,引入哑变量后,可加性模型系统预测能力均有不同程度的提升,尤其心材直径和边材宽度预测能力提升更显著;不同区域带皮直径和树皮厚度削度差异较小,而心材直径、边材宽度的削度存在明显差异。本研究构建的包含哑变量可加性模型系统,不但模型预测精度较高,还满足带皮直径、心材直径、边材宽度和树皮厚度之间的可加性逻辑,为人工红松心边材及树皮材积的准确估测提供了基础。

关键词: 可加性模型, 削度方程, 哑变量, 心边材, 树皮厚度, 红松人工林

Abstract: With the commonly used variable-exponent taper models developed by Kozak (1988), Muhairwe (1999), Lee (2003) and Kozak (2004), we aimed to develop taper functions of diameter outside bark (DOB), heartwood diameter (HD), sapwood width (SW), and bark thickness (BT) based on the data of 2977 discs from 103 sample trees of Pinus koraiensis plantations under different conditions in Mengjiagang Forest Farm, Dongjingcheng and Linkou Forestry Bureau in Heilongjiang Province. We selected the optimal basic model after comparison. By using seemingly unrelated regression (SUR) method in the PROC MODEL of SAS software, we established an additive model system for the taper equations of DOB, HD, SW and BT. By introducing the region as a dummy variable, the models were evaluated by coefficient determination (Radj2), root mean square error (RMSE), Akaike information criterion (AIC) and Bayesian information criterion (BIC). The results showed that the taper model developed by Kozak (2004) was the optimal one for the DOB, HD, SW and BT. When satisfying the additivity of each component and total amount, the additivity model system got better prediction effect, with a prediction precision of more than 98%. The additive model system with dummy variables improved the prediction ability to varying degrees, especially the prediction precision of HD and SW models. Minor differences existed in DOB and BT among different regions, while enormous differences in HD and SW. The additive model system with dummy variables not only had high prediction accuracy but also satisfied the additive logic of DOB, HD, SW and BT, which provided a basis for accurate estimation of heartwood, sapwood and bark volume of P. koraiensis.

Key words: additive model, taper equation, dummy variable, heartwood and sapwood, bark thickness, Pinus koraiensis plantation