iForest - Biogeosciences and Forestry


Predicting total and component biomass of Chinese fir using a forecast combination method

Xiongqing Zhang (1-2), Quang V Cao (3), Congwei Xiang (1-2), Aiguo Duan (1-2), Jianguo Zhang (1-2)   

iForest - Biogeosciences and Forestry, Volume 10, Issue 4, Pages 687-691 (2017)
doi: https://doi.org/10.3832/ifor2243-010
Published: Jul 17, 2017 - Copyright © 2017 SISEF

Research Articles

Accurate estimates of tree biomass are critical for forest managers to assess carbon stock. Biomass of Chinese fir (Cunninghamia lanceolata [Lamb.] Hook.) in southern China was assessed by three alternative methods. In the Separate model approach, total and component tree biomass was directly predicted from a regression equation as a function of tree diameter and height. In the Additive model approach, total biomass was predicted as the sum of predictions from all component biomass equations. The Forecast Combination method involved combining predictions from the total biomass equation with the sum of predictions from component biomass equations. Results indicated that the Separate model method outperformed the Additive model method in predicting total and component biomass. The drawback of the Separate model method is that the total is not equal to the sum of its components. The Forecast Combination method provided the overall best prediction for total and component biomass, and still ensured additivity of component biomass predictions.


Additivity, Biomass Predictions, Cunninghamia lanceolata, Even-aged Plantations, Tree Allometry

Authors’ address

Xiongqing Zhang
Congwei Xiang
Aiguo Duan
Jianguo Zhang
State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091 (P. R. China)
Xiongqing Zhang
Congwei Xiang
Aiguo Duan
Jianguo Zhang
Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing (P.R. China)
Quang V Cao
School of Renewable Natural Resources, Louisiana State University, Agricultural Center, Baton Rouge, LA 70803 (USA)

Corresponding author

Jianguo Zhang


Zhang X, Cao QV, Xiang C, Duan A, Zhang J (2017). Predicting total and component biomass of Chinese fir using a forecast combination method. iForest 10: 687-691. - doi: 10.3832/ifor2243-010

Academic Editor

Matteo Garbarino

Paper history

Received: Oct 08, 2016
Accepted: May 16, 2017

First online: Jul 17, 2017
Publication Date: Aug 31, 2017
Publication Time: 2.07 months

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