高山松天然林单木生物量因子模型构建

doi:10.13466/j.cnki.lyzygl.2016.03.010

林业资源管理 ›› 2016, Vol. 0 ›› Issue (3): 49-53.doi: 10.13466/j.cnki.lyzygl.2016.03.010

高山松天然林单木生物量因子模型构建

孙雪莲, 熊河先, 胥辉, 魏安超, 李超, 闾妍宇, 张博, 欧光龙

西南林业大学西南地区生物多样性保育国家林业局重点实验室,昆明 650224

收稿日期:2016-03-14 修回日期:2016-04-11 出版日期:2016-06-28 发布日期:2020-11-02
通讯作者: 欧光龙(1983-),男,副教授,博士,主要从事森林生态学及森林经理学方面的教学和研究。Email:olg2007621@126.com
作者简介:孙雪莲(1990-),女,云南曲靖人,在读硕士,主要从事森林测计学方面的学习和研究。Email:sxl524@163.com
基金资助:
西南林业大学科技创新基金项目(15005);林业公益性行业科研专项(201404309);西南林业大学博士科研启动项目(111416)

Modelling of Individual Tree Biomass Factors for Natural Pinus densata Forest

SUN Xuelian, XIONG Hexian, XU Hui, WEI Anchao, LI Chao, LÜ Yanyu, ZHANG Bo, OU Guanglong

Key Laboratory of State Forestry Administration for Biodiversity Conservation in Southwest China,Southwest Forestry University,Kunming 650224,China

Received:2016-03-14 Revised:2016-04-11 Online:2016-06-28 Published:2020-11-02

摘要/Abstract

摘要： 以云南省香格里拉市高山松天然林为研究对象,实测116株高山松单木生物量数据,并计算各维量生物量因子,以幂函数形式为基本模型,构建各维量生物量因子估算模型。结果表明:各维量生物量扩展因子的决定系数(R²)>0.78,平均残差平方和(MSE)<0.03,预估精度(P)>84.00%;各维量生物量转扩因子的决定系数(R²)>0.72,平均残差平方和(MSE)<0.003,预估精度(P)>83.00%。这些模型均具有较高的拟合精度和预估精度,可为高山松碳汇计量提供数据支撑。

关键词: 生物量扩展因子, 生物量转扩因子, 高山松天然林, 香格里拉市

Abstract: By taking the natural Pinus densata forest of Shangri-la in Yunnan as the research object,the aboveground biomass of each component of 116 sample trees had been investigated.Then we had calculated biomass expansion factors (BEF) and biomass conversion and expansion factors (BCEF) and constructed estimation models of biomass factor of each component used power function.The results showed that for BEF models of each component,the determination coefficient (R²) is > 0.78,mean square error (MSE) < 0.03,prediction precision (P)>84.00%.For BCEF models of each component,R²>0.72,MSE<0.003,P> 83.00%.So,the models of biomass factors have better fitting performance and higher prediction precision to supply biomass carbon measurement parameters and provide data support for the measurement of carbon sink of natural Pinus densata forest.

Key words: biomass expansion factors (BEF), biomass conversion and expansion factors (BCEF), Pinus densata natural forests, Shangri-la City

中图分类号:

S718.55

孙雪莲, 熊河先, 胥辉, 魏安超, 李超, 闾妍宇, 张博, 欧光龙. 高山松天然林单木生物量因子模型构建[J]. 林业资源管理, 2016, 0(3): 49-53.

SUN Xuelian, XIONG Hexian, XU Hui, WEI Anchao, LI Chao, LÜ Yanyu, ZHANG Bo, OU Guanglong. Modelling of Individual Tree Biomass Factors for Natural Pinus densata Forest[J]. FOREST RESOURCES WANAGEMENT, 2016, 0(3): 49-53.

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高山松天然林单木生物量因子模型构建

Modelling of Individual Tree Biomass Factors for Natural Pinus densata Forest

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