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FOREST RESOURCES WANAGEMENT ›› 2023, Vol. 0 ›› Issue (1): 87-93.doi: 10.13466/j.cnki.lyzygl.2023.01.011

• Scientific Research • Previous Articles     Next Articles

Research and Development of Compatible and Additive Individual Tree Biomass Model Systems for Eucalyptus

CAI Huide1(), LU Feng1, XU Zhanyong1, PAN Huangru1, MENG Xiang1, ZENG Weisheng2()   

  1. 1. Guangxi Forest Resources and Environment Monitoring Center,Nanning 530029,China
    2. Academy of Forestry Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
  • Received:2022-12-09 Revised:2023-01-30 Online:2023-02-28 Published:2023-05-05

Abstract:

Eucalyptus is an important fast-growing tree species in southern China,which plays a significant role in ensuring national timber safety and enhancing forest carbon sequestration capacity.However,there are still no reliable tree biomass models for Eucalyptus.In this study,based on the data of above-ground biomass (including the components of stem wood,stem bark,branches and forages) from 183 sample trees and underground biomass from 124 sample trees of Eucalyptus spp.in Guangxi which was the key distribution region of Eucalyptus plantations in China,one- and two-variable biomass model systems with compatibility and additivity were developed using the new combined estimation technique integrating dummy variable modeling approach and error-in-variable simultaneous equations approach.The results showed that the determination coefficients (R2) of above- and underground biomass models were all more than 0.95,and the mean prediction errors (MPEs) were less than 3% and 6%,respectively.From the comparison of estimates resulted from 3 sets of above- and underground biomass models for Eucalyptus published before,it was found that only one set of the models could met the precision needs of relevant technical regulation,and other two sets of the models resulted in significant biased estimates,where the highest estimate error of underground biomass model had even more than 100% of relative error.The compatible and additive tree biomass models systems for Eucalyptus developed in this study would provide a basis for accurately estimating the biomass and carbon storage in Guangxi,even in the whole country.

Key words: above-ground biomass, underground biomass, simultaneous equations, error-in-variable, dummy variable, Eucalyptus

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