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Forest Resources Management. 2015, (06) Core

Research on Dummy Variable in Aboveground Biomass Models for SpruceChinese Full Text

YANG Ying;RAN Qixiang;CHEN Xinyun;OU Qiangxin;Academy of Forest Inventory and Planning,State Forestry Administration;Beijing Forestry University;Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry;

Abstract: Based on the biomass data of 150 spruce sampling trees,by using conventional regression methods and dummy variable modeling approach,one variable and two or three variables biomass models were established for the total aboveground biomass and the biomass of components for spruce in Heilongjiang and Jilin provinces. The results showed that the total aboveground biomass models had the highest prediction accuracy（ 96% or more） and the leaf biomass models had the lowest prediction accuracy which sti... More
Keywords：

aboveground biomass; dummy variable; region; spruce;

  • DOI：

    10.13466/j.cnki.lyzygl.2015.06.014

  • Series：

    (D) Agriculture

  • Subject：

    Forestry

  • Classification Code：

    S791.18

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