安徽农业大学学报2018，Vol.45Issue(6)：1071-1076,6.DOI:10.13610/j.cnki.1672-352x.20190102.015
广东省木荷单木生物量模型的建立
Construction of single tree biomass models for Schima superba in Guangdong Province
摘要
Abstract
Single tree biomass model is the basis of forest biomass estimation. Based on the measured data of 90 strains of Schima superba in Guangdong Province, we measured the DBH and tree height before felled. After felled, the trunk was divided into 3 sections to measure the fresh weight of the stem and bark; the tree-crown was divided into 3 layers with selection of 3-5 standard branches in each layer, and the fresh weights of the branches and leaves were measured, respectively. This samples were taken to laboratory and dried to constant weight under 85℃ constant temperature. According to the fresh and dry weight, the moisture content in each sample was calculated, and then the moisture content in each part was used to calculate the dry weight in samples of stem, bark, branches stem, bark, branches and leaves, and finally the dry weight of the above-ground biomass was summarized. Based on the allometric model, using the obtained biomass data and weighted regression estimation method to eliminate heteroscedasticity, we established an additive biomass model to fit the aboveground biomass and each part biomass. The results showed that: in the additive biomass model system, the accuracy of the stem biomass model was the highest with the coefficient of determination of above 0.90; the accuracy of the leaf biomass model was the lowest with the coefficient of determination of 0.74, and the coefficients of determination of the biomass index of the branches and bark were all above 0.80. Schima superba biomass accounted for the largest proportion of above-ground biomass, followed by dendritic and bark biomass, and the leaf biomass accounted for the lowest proportion. As the diameter increased, the biomass of the stem increased and the biomass of branches increased slightly. The proportion of bark biomass did not change much, and the proportion of leaf biomass continued to decrease. The establishment of the model would be helpful to accurately estimate the biomass of Schima superba in Guangdong Province and provide basic data and model support for carbon sink measurement.关键词
单木生物量/可加性模型/木荷/广东省Key words
single tree biomass/additive system/Schima superba/Guangdong Province分类
农业科技引用本文复制引用
何潇,李海奎..广东省木荷单木生物量模型的建立[J].安徽农业大学学报,2018,45(6):1071-1076,6.基金项目
广东省林业科技专项"广东主要碳汇造林树种生物量模型研建"(2015-02) （2015-02）
广东省林业科技创新平台建设项目"广东省碳汇计量监测创新平台建设"(2016CXPT03)共同资助 （2016CXPT03）
