• 研究简报 •

### 相容性单木生物量模型估计方法的比较——以青冈栎为例

1. 1. 中国林业科学研究院林业研究所 国家林业和草原局林木培育重点实验室 北京 100091
2. 中国林业科学研究院资源信息研究所 北京 100091
• 收稿日期:2019-04-01 出版日期:2020-09-25 发布日期:2020-10-15
• 通讯作者: 姜春前
• 基金资助:
国家重点研发计划"湘西丘陵山地次生林生物多样性保育和碳汇提升技术研究与示范"(2017YFC0505604)

### Comparison of Methods to Construct Compatible Individual Tree Biomass Models — A Case Study of Cyclobalanopsis glauca

Xiuhong Liu1,Chunqian Jiang1,*,Rui Xu1,Xiao He2,Mengjuan Qi1

1. 1. Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration Research Institute of Forestry, CAF Beijing 100091
2. Research Institute of Forestry Resource Information Techniques, CAF Beijing 100091
• Received:2019-04-01 Online:2020-09-25 Published:2020-10-15
• Contact: Chunqian Jiang

Abstract:

Objective: Biomass model is an effective method to estimate forest biomass,and nonlinear simultaneous equations are common method to construct compatible biomass model. This article takes Cyclobalanopsis glauca as an example to compared two common biomass model construction method and three parameter estimation algorithms,so as to select the best biomass model construction method and algorithms,and provide technical support for model construction and biomass studies. Method: Based on abore-ground biomass data of 25 trees of C.glauca. In South China,the compatible biomass models of controlling directly by proportion functions and controlling by the sum of equations were selected,and ordinary least square (OLS),two-stage least square (2SLS) and three-stage least square (3SLS) were used as estimation algorithms. Establishing the compatibility model of the above-ground biomass and the biomass of each component,and comparing the fitting effect of various compatible biomass models. Result: Under three kinds of parameter estimation algorithms,these two biomass models both can guarantee the compatibility between above-ground biomass and biomass of stem,branch and leaf components.The determination coefficient of each component biomass model is above 0.8,the determination coefficient of above-ground biomass model is the highest,and the determination coefficient of the leaf biomass model is the lowest. Using the same parameter estimation algorithm,there is not much difference in the fitting effect of compatible biomass between the two structures. Comparing three parameter estimation algorithms,parameter estimation values and evaluation indexes of compatible biomass model,that indicated by two-stage least square and three-stage least-squares are consistent respectively. However,the result obtained by ordinary least square are quite different which is distinguished by a higher fitting accuracy and a simpler calculation process. Conclusion: Considering the main purpose in forestry practice is usually to calculate above-ground biomass,the controlling directly by proportion functions based on the ordinary least square can immediately calculate the above-ground biomass with high estimation accuracy,and has good application prospects.