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The investigation of the additive allometric models of biomass

Authors: Usoltsev, V. A.; Tsepordey, I. S.;

The investigation of the additive allometric models of biomass

Abstract

When using the unique in terms of the volumes of databases on the level of a stand of Picea and Abies spp., the trans-Eurasian additive allometric models of biomass for Eurasian forests are developed for the first time, and thereby the combined problem of model additivity and generality is solved. The additive model of forest biomass of Picea and Abies is harmonized in three levels, one of which provides the principle of additivity of biomass components, the second one is associated with the introduction of dummy independent variables localizing model for eco-regions of Eurasia, and the third one makes the biomass structure of spruce and fir compatible by means of binary variable. The model can be developed further according to the third level of harmonization, when instead of the binary variable one can include another block of dummy variables coding the membership of actual biomass data of each eco-region to basic forest-forming wood species in Eurasia. This might be a subject for further research. © 2018 CEUR-WS. All rights reserved.

Country
Russian Federation
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Keywords

ADDITIVE MODELS, INDEPENDENT VARIABLES, BIOMASS COMPONENTS, BIOMASS STRUCTURE, ALLOMETRIC MODELS, APPLICATION PROGRAMS, DUMMY VARIABLES, FOREST BIOMASS, FORESTRY, BINARY VARIABLES, BIOMASS

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research