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Articles by En-Rong Yan

Category : Research note

article id 1275, category Research note
Arshad Ali, Ming-Shan Xu, Yan-Tao Zhao, Qing-Qing Zhang, Liu-Li Zhou, Xiao-Dong Yang, En-Rong Yan. (2015). Allometric biomass equations for shrub and small tree species in subtropical China. Silva Fennica vol. 49 no. 4 article id 1275. https://doi.org/10.14214/sf.1275
Keywords: aboveground biomass; allometric equations; carbon storage; biometric variables; shrubs; subtropical forests
Highlights: Diameter (D) and height (H) are strong predictors in species-specific and multispecies models for the aboveground biomass of subtropical shrubs and small trees; Although wet basic density and crown shape may improve the predictive power of aboveground biomass slightly, the labor intensive measurements for wet basic density and crown shape may be disregarded when a large number of individuals are to be surveyed; Our results extend the generality of D-H models for aboveground biomass for large trees to subtropical shrubs and small trees.
Abstract | Full text in HTML | Full text in PDF | Author Info

Species-specific allometric equations for shrubs and small trees are relatively scarce, thus limiting the precise quantification of aboveground biomass (AGB) in both shrubby vegetation and forests. Fourteen shrub and small tree species in Eastern China were selected to develop species-specific and multispecies allometric biomass equations. Biometric variables, including the diameter of the longest stem (D), height (H), wet basic density (BD), and crown area and shape were measured for each individual plant. We measured the AGB through a non-destructive method, and validated these measurements using the dry mass of the sampled plant components. The AGB was related to biometric variables using regression analysis. The species-specific allometric models, with D and H as predictors (D-H models) accounted for 70% to 99% of the variation in the AGB of shrubs and small trees. A multispecies allometric D-H model accounted for 71% of the variation in the AGB. Although BD, as an additional predictor, improved the fit of most models, the D-H models were adequate for predicting the AGB for shrubs and small trees in subtropical China without BD data.

  • Ali, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China; Department of Environmental Sciences, Abdul Wali Khan University Mardan, 23200, KPK, Pakistan E-mail: arshadforester@gmail.com
  • Xu, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: yumsh09@lzu.edu.cn
  • Zhao, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: zhaoyantao1991@163.com
  • Zhang, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: qingzq@yeah.net
  • Zhou, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: 792920738@qq.com
  • Yang, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: xjyangxd@sina.com
  • Yan, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China; Tiantong National Forest Ecosystem Observations and Research Station, Ningbo 315114, Zhejiang, China E-mail: eryan@des.ecnu.edu.cn (email)

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