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
Abstract
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.
Keywords
Additivity, Biomass Predictions, Cunninghamia lanceolata, Even-aged Plantations, Tree Allometry
Authors’ Info
Authors’ address
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)
Congwei Xiang
Aiguo Duan
Jianguo Zhang
Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing (P.R. China)
School of Renewable Natural Resources, Louisiana State University, Agricultural Center, Baton Rouge, LA 70803 (USA)
Corresponding author
Paper Info
Citation
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
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2017
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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References
Study on establish and estimate method of compatible biomass model. Scientia Silvae Sinicae 36 (1): 19-27. [in Chinese with English abstract]
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