Аграрный вестник Урала № 06 (160) 2017Биология и биотехнологии
ON POSSIBILITIES FOR APPLICATION OF GENERIC AND REGIONAL ALLOMETRIC MODELS WHEN ESTIMATING SPRUCE TREE BIOMASS
Forests play animportant role in reducing the amount of greenhouse gases in the atmosphere andpreventing climate change. One way to quantify сarbon exchange in forest coveris estimating changes in its biomass and carbon pools over time. Biomassestimating on the unit of area starts with harvesting sample trees and weighingtheir biomass. It is known the strong and sustainable relationship between treebiomass and its diameter (simple allometry), or between tree biomass and anumber of mass-forming (morphometric) indices (multi-factor allometry). Atpresent, in different countries and continents, the studies of theapplicability of the so-called generic (generalized, common) allometric modelsare intensified that would give acceptable accuracy in estimating forest biomass.In the article on the basis of the compiled database of tree biomass of Picea at a number of 1065 trees,allometric models of the four modifications are designed, which include theblock of independent dummy variables. These models provide an opportunity togive regional estimates of tree biomass when using some known mass-formingindices (stem and crown diameter and tree height). Allometric models proposedare indicative of their adequacy for the actual data (coefficients ofdetermination are 0.814 to 0.984) and can be applied in regional estimating ofspruce tree biomass. However, generic allometric models built using the totalquantity of actual data give in different ecoregions too large standard errors(up to 221 %) and unacceptable both positive and negative biases (from +311 to-99 %), that excludes any possibility of their application at regional levels.
Picea L., allometric models, tree biomass, sample plots, regional differences, standard errors, biases.
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