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Forests 2016, 7(2), 32; doi:10.3390/f7020032

Developing Aboveground Biomass Equations Both Compatible with Tree Volume Equations and Additive Systems for Single-Trees in Poplar Plantations in Jiangsu Province, China

1
Ministry of Education Key Laboratory for Silviculture and Conservation, College of Forestry, Beijing Forestry University, Beijing 100083, China
2
Academy of Forest Inventory and Planning, State Forestry Administration, Beijing 100714, China
*
Author to whom correspondence should be addressed.
Academic Editors: Shibu Jose and Eric J. Jokela
Received: 28 August 2015 / Revised: 22 December 2015 / Accepted: 25 January 2016 / Published: 29 January 2016
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Abstract

We developed aboveground biomass equations for poplar plantations in Jiangsu Province, China, both compatible with tree volume equations and additive systems. Biomass equations were fitted with 80 selected and previously harvested sample trees. Additivity property was assured by applying a “controlling directly under total biomass proportion function” approach. Weighted regression was used to correct heteroscedasticity. Parameters were estimated using a nonlinear error-in-variable model. The results indicated that (1), on average, stems constituted the largest proportion (71.5%) of total aboveground biomass; (2) the aboveground biomass equations, both compatible with tree volume equations and additive systems, obtained good model fitting and prediction, of which the coefficient of determination ranged from 0.903 to 0.987, and the total relative error and the mean prediction error were less than 2.0% and 10.0%, respectively; (3) adding H and CW into the additive system of biomass equations did not improve model fitting and performance as expected, especially for branches and foliage biomass; and (4) the additive systems of biomass equations presented here provided more reliable and accurate biomass predictions than the independent biomass equations fitted by ordinary least square regression. This system of additive biomass equations will prove to be applicable for estimating biomass of poplar plantations in Jiangsu Province of China. View Full-Text
Keywords: aboveground tree components; weighted regression; error-in-variable models; compatible biomass equations; additive system of biomass equations; biomass allocation aboveground tree components; weighted regression; error-in-variable models; compatible biomass equations; additive system of biomass equations; biomass allocation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, C.; Peng, D.-L.; Huang, G.-S.; Zeng, W.-S. Developing Aboveground Biomass Equations Both Compatible with Tree Volume Equations and Additive Systems for Single-Trees in Poplar Plantations in Jiangsu Province, China. Forests 2016, 7, 32.

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