文献类型：期刊文献

中文题名：云南省主要针叶树种树高曲线模型研建

英文题名：Developing Models for Tree Height Curves of Main Conifer Species in Yunnan Province

作者：覃阳平[1] 李华[1] 李永亮[2] 张成程[1] 王蒙[1]

第一作者：覃阳平

机构：[1]国家林业和草原局昆明勘察设计院,昆明650216;[2]中国林业科学研究院资源信息研究所,北京100091

年份：2019

卷号：0

期号：4

起止页码：46-51

中文期刊名：林业资源管理

外文期刊名：Forest Resources Management

收录：北大核心:【北大核心2017】；

基金：中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2017SZ005);国家重点研发计划课题(2017YFD0600905)

语种：中文

中文关键词：云南省;树高曲线;针叶树种;模型构建

外文关键词：Yunnan Province;tree height curve;conifer species

分类号：S758;S791

摘要：树高曲线在森林经营和收获调整中有着重要的作用,建立适用于云南省主要针叶树种的树高曲线模型,为其森林经营提供参考。基于云南省两期森林资源连续清查数据,以冷杉、思茅松、云南松、华山松和杉木作为研究对象,选用Richards等15种树高曲线模型作为备选模型,以决定系数(R 2)、均方根误差(RMSE)、平均绝对误差(MAE)、总体相对误差(TRE)和平均预估误差(MPE)作为模型拟合效果的评价指标。结果表明:Hossfeld方程能较好地描述冷杉和杉木的树高曲线,双曲线方程能较好地描述云南松和华山松的树高曲线,Wykoff方程能较好地描述思茅松的树高曲线;云南松最优树高曲线模型决定系数为0.676,其它针叶树种决定系数均大于0.710。独立样本数据检验表明,各树种最优树高曲线模型均有较好的适用性,对云南省主要针叶树种树高有较好的预测效果。
Tree height curve plays an important role in the forest management and yield regulation,the tree height curve model for main conifer species in Yunnan Province was established to provide reference for its forest management.Based on two periods of national forest inventory data in Yunnan Province,this paper takes Abies fabri,Pinus kesiya var.langbianensis,Pinus yunnanensis,Pinus armandii,Cunninghamia lanceolata as research objects,Richards etc.fifteen tree height curve models were selected as alternative models,the coefficient of determination,root mean square error,mean absolute error,total relative error and mean predict error were used as the evaluation indicators of the pros and cons of the model.The results show that Hossfeld can better describe the tree height curve of Abies fabri and Cunninghamia lanceolata,hyperbola can better describe the tree height curve of Pinus yunnanensis and Pinus armandii,Wykoff can better describe the tree height curve of Pinus kesiya var.langbianensis.The coefficient of determination of the optimal tree height curve model of Pinus yunnanensis is 0.676,and the coefficient of determination of other conifer tree specieses are greater than 0.710,the independent sample data test shows that the optimal tree height curve model of each tree species has good applicability,and has a good prediction effect on the tree height of the main conifer tree species in Yunnan Province.