欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2024, Vol. 35 ›› Issue (2): 307-320.doi: 10.13287/j.1001-9332.202402.016

• • 上一篇    下一篇

基于树种分类的帽儿山阔叶混交林树高-胸径模型

曹晓梅, 苗铮, 郝元朔, 董利虎*   

  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:2023-10-27 修回日期:2024-01-02 出版日期:2024-02-18 发布日期:2024-08-18
  • 通讯作者: *E-mail: donglihu2006@163.com
  • 作者简介:曹晓梅, 女, 1998年生, 硕士研究生。主要从事林业生长模型研究。E-mail: caoxiaomei225128@163.com
  • 基金资助:
    国家重点研发计划项目(2022YFD2201001)

Height-diameter model of broad-leaved mixed forest based on species classification in Maoershan, Northeast China

CAO Xiaomei, MIAO Zheng, HAO Yuanshuo, DONG Lihu*   

  1. Ministry of Education Key Laboratory of Sustainable Forest Ecosystem Management, School of Forestry, Northeast Forestry University, Harbin 150040, China
  • Received:2023-10-27 Revised:2024-01-02 Online:2024-02-18 Published:2024-08-18

摘要: 天然林的林分结构复杂、物种多样性丰富,为分析林分生长与制定合理的森林经营决策方案带来了巨大的挑战。树高-胸径关系对于预测林分生长、制定森林管理经营措施具有重要意义。本文基于48块帽儿山阔叶混交林样地的调查数据,根据树种结构、生长特征及生态学特性将23个树种分为4个树种组,通过再参数化方法建立包含林分、林木竞争、树种混交情况及物种多样性变量的广义模型,并建立样地、树种组两水平混合效应模型,利用留一交叉验证法检验模型的预测能力。结果表明: Ratkowsky(1990)模型为最优基础模型,引入优势木平均高、大于对象木断面积之和、树种占比和Shannon指数能更好地解释帽儿山阔叶混交林树高-胸径关系;引入样地、树种组混合效应模型可显著提高模型的预测精度,Ra2为0.83。此外,在相同梯度的环境因素下,喜光树种比耐荫树种表现出更高的树高。本研究利用所构建的树高-胸径模型分析了树种混交及树木功能性状对树高生长的影响,为精准预测阔叶混交林不同树种的树高以及进一步分析阔叶混交林分生长关系提供理论基础。

关键词: 阔叶混交林, 树高-胸径模型, 树种划分, 混合效应模型

Abstract: The complex stand structure and high species diversity of natural forests pose great challenges for analyzing stand growth and formulating reasonable plans for forest management. The height-diameter relationship is of great significance for predicting stand growth and formulating forest management measures. Based on survey data of 48 broad-leaved mixed forest plots in Maoershan, we classified 23 tree species into four groups based on species structure, growth characteristics and bionomics. We established a generalized model including stand, tree competition, species mixing and species diversity variables by reparameterization method, and a two-level mixed effect model of plot and tree species group. We tested the prediction ability of the model by leave-one-out cross-validation method. The results showed that the Ratkowsky (1990) model was the optimal basic model. The introduction of dominant height, basal area of trees larger than the object tree, basal area proportion of each species, and Shannon index could better explain the height-diameter relationship of broad-leaved mixed forest in Maoershan. The introduction of the mixed effect model of plot and tree species group could significantly improve the prediction accuracy of the model, with a Ra2 of 0.83. Under the same gradient of environmental factors, intolerant tree species exhibited higher tree heights than shade-tolerant tree species. In this study, we used the constructed tree height-diameter model to analyze the effects of species mixing and tree functional traits on tree height, which provided a theoretical basis for accurately predicting height of different tree species and analyzing the growth relationships in broadleaved mixed forests.

Key words: broad-leaved mixed forest, height-diameter model, species classification, mixed-effect model