湖北林业科技2024,Vol.53Issue(1) :6-10,65.

"天潜沔"地区杨树人工林胸径-树高生长模型研究

Study on DBH-tree Height Growth Model of Poplar Plantations in Tianmen,Qianjiang and Xiantao

陈布凡 颜润芝 何志杰 刘扬 刘伟 盛涛
湖北林业科技2024,Vol.53Issue(1) :6-10,65.

"天潜沔"地区杨树人工林胸径-树高生长模型研究

Study on DBH-tree Height Growth Model of Poplar Plantations in Tianmen,Qianjiang and Xiantao

陈布凡 1颜润芝 1何志杰 1刘扬 1刘伟 1盛涛1
扫码查看

作者信息

  • 1. 湖北省林业调查规划院 武汉 430079
  • 折叠

摘要

以天门、潜江、仙桃地区杨树人工林为研究对象,通过2022年在该地区选取48块样地进行每木检尺,共测量731株杨树的生长量情况,作为建模数据.利用R软件对胸径-树高模型进行拟合,选用9个常用的胸径-树高模型.根据决定系数(R2)、均方根误差(RMSE)、残差平均和(SSE)、平均绝对误差(MAE)、平均相对误差(MRE)和Akaike信息量准则(AIC)6个评价指标来确定最优模型,同时以天门、潜江、仙桃地区2021年立地条件、初植密度基本一致的10个杨树人工林固定样地的胸径、树高数据为检验数据,检验最优模型的预测能力.结果表明:在1~9号模型中,4号拟合效果最佳,其模型表达式为H=1.041 0D-0.012 2D2,可以作为天门、潜江、仙桃地区杨树人工林胸径-树高基础模型.

Abstract

Poplar plantations in Tianmen,Qianjiang and Xiantao was taken as the research object,and data from 48 sam-ple plots in 2022 were collected,measuring the growth of 731 poplar trees as modeling data.Nine commonly used DBH-tree height models were fitted using the R software.The best model was determined based on six evaluation indicators:co-efficient of determination(R2),root mean square error(RMSE),sum of squared residuals(SSE),mean absolute error(MAE),mean relative error(MRE),and Akaike information criterion(AIC).The predictive ability of the best model was tested using DBH and tree height data from 10 fixed plots in Poplar plantations in Tianqianmian area in 2021,which had similar site conditions and initial stocking density.The results showed that among 1 to 9 models,the 4th model(quadratic polynomial)provides the best fitting result.The expression of this model was H=1.041 0D-0.012 2D2.It can serve as the fundamental model for diameter-height relationship in poplar plantations in Tianmen,Qianjiang and Xiantao.

关键词

杨树/胸径/树高/生长模型/天潜沔地区

Key words

Poplar/DBH/tree height/growth model/Tianmen,Qianjiang and Xiantao

引用本文复制引用

出版年

2024
湖北林业科技
湖北省林业科学研究院

湖北林业科技

影响因子:0.398
ISSN:1004-3020
参考文献量21
段落导航相关论文