“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

作　　者：陈布凡 颜润芝 何志杰 刘扬 刘伟 盛涛 Chen Bufan;Yan Runzhi;He Zhijie;Liu Yang;Liu Wei;Sheng Tao(Hubei Provincial Forestry Investigation and Planning Institute,Wuhan 430079)

机构地区：[1]湖北省林业调查规划院,武汉430079

出　　处：《湖北林业科技》2024年第1期6-10,65,共6页Hubei Forestry Science and Technology

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(R^(2))、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=1.0410D-0.0122D^(2),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。Poplar plantations in Tianmen,Qianjiang and Xiantao was taken as the research object,and data from 48 sample 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:coefficient of determination(R^(2)),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=1.0410 D-0.0122 D^(2).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 

分 类 号：S718.5[农业科学—林学]