2015
DOI: 10.1007/s00468-014-1148-1
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A single-tree additive biomass model of Quercus variabilis Blume forests in North China

Abstract: Key message Fitting and comparing three sets of compatible biomass models for prediction of biomass or carbon stocks of natural and planted Quercus variabilis Blume forests.Abstract To make the sum of estimated values from biomass models of various components of a tree equal to estimated tree total biomass for Quercus variabilis Blume (cork oak) forests in North China, single-tree compatible biomass models were developed. 100 trees from 100 plots in North China were felled to obtain biomass of aboveground comp… Show more

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Cited by 25 publications
(19 citation statements)
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“…Considering that the ecophysiological studies, especially the analysis of the links between tree growth and environmental factors, conducted in this forest could be extended to younger or older stands, it would be of interest to develop generalized biomass equations that could apply to all the age range of the classical beech rotation (0-120 years), avoiding the need to build new specific biomass equations. Such models were successfully developed earlier by introducing different tree characteristics in the biomass equations, and in particular tree height (ht) often combined with tree diameter 1 (d) in the form of d 2 ht , or more generally d α ht β (Genet & al, 2011a, b;Shaiek & al, 2011;McElligott & Bragg, 2013;Sileshi, 2014;Zheng & al, 2015).…”
Section: Introductionmentioning
confidence: 99%
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“…Considering that the ecophysiological studies, especially the analysis of the links between tree growth and environmental factors, conducted in this forest could be extended to younger or older stands, it would be of interest to develop generalized biomass equations that could apply to all the age range of the classical beech rotation (0-120 years), avoiding the need to build new specific biomass equations. Such models were successfully developed earlier by introducing different tree characteristics in the biomass equations, and in particular tree height (ht) often combined with tree diameter 1 (d) in the form of d 2 ht , or more generally d α ht β (Genet & al, 2011a, b;Shaiek & al, 2011;McElligott & Bragg, 2013;Sileshi, 2014;Zheng & al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The biomass and biomass increment equations previously established in Hesse forest were fitted independently for each tree compartment and for the aboveground and belowground compartments, each one taken as a whole. Thus, the constraint of additivity for the tree compartments composing either the aerial or the belowground tree parts was not considered at that time, although it would have been desirable (Repola, 2008(Repola, , 2009Genet & al, 2011a;Parresol, 2011;Zheng & al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Considering additivity within a system of biomass equations can ensure consistency among the components [37][38][39]. In this study, the process of additivity was realized with the nonlinear error-in-variable models and by applying a "controlling directly under total biomass by proportion function" approach.…”
Section: Biomass Additivitymentioning
confidence: 99%
“…The use of the tree volume taken from forest management data to calculate the bi of different species is very important for estimates at different scales [35]. The relationship between the new parameter bi and other stand indicators still requires further detailed study [36]. …”
Section: Discussionmentioning
confidence: 99%