Research article

Allometric models for aboveground biomass of ten tree species in northeast China

Shuo Cai, Xingang Kang , Lixin Zhang

Shuo Cai
Key Laboratory for Silviculture and Conservation, Ministry of Education, Beijing Forestry University, Qinghua East Road 35, Haidian District, Beijing 100083, China
Xingang Kang
Key Laboratory for Silviculture and Conservation, Ministry of Education, Beijing Forestry University, Qinghua East Road 35, Haidian District, Beijing 100083, China. Email: 55443777@qq.com
Lixin Zhang
Ecological Engineering Laboratory, Yunnan Forest Institute, Kunming, Yunnan 650204, China

Online First: April 14, 2013
Cai, S., Kang, X., Zhang, L. 2013. Allometric models for aboveground biomass of ten tree species in northeast China. Annals of Forest Research 56(1): 105-122.


China contains 119 million hectares of natural forest, much of which is secondary forest. An accurate estimation of the biomass of these forests is imperative because many studies conducted in northeast China have only used primary forest and this may have resulted in biased estimates. This study analyzed secondary forest in the area using information from a forest inventory to develop allometric models of the aboveground biomass (AGB). The parameter values of the diameter at breast height (DBH), tree height (H), and crown length (CL) were derived from a forest inventory of 2,733 trees in a 3.5 ha plot. The wood-specific gravity (WSG) was determined for 109 trees belonging to ten species. A partial sampling method was also used to determine the biomass of branches (including stem, bark and foliage) in 120 trees, which substantially easy the field works. The mean AGB was 110,729 kg ha1. We developed four allometric models from the investigation and evaluated the utility of other 19 published ones for AGB in the ten tree species. Incorporation of full range of variables with WSG-DBH-H-CL, significantly improved the precision of the models. Some of models were chosen that best fitted each tree species with high precision (R2 = 0.939, SEE 0.167). At the latitude level, the estimated AGBof secondary forest was lower than that in mature primary forests, but higher than that in primary broadleaf forest and the average level in other types of forest likewise. 

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  • Shuo Cai
  • Xingang Kang
  • Lixin Zhang
  • Shuo Cai
  • Xingang Kang
  • Lixin Zhang