Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/9161
Title: Modeling the additive stand biomass of Larix spp. for Eurasia
Authors: Usoltsev, V. A.
Shobairi, S. O. R.
Chasovskikh, V. P.
Issue Date: 2019
Publisher: Wydawnictwo Uniwersytetu Mikolaja Kopernika
Citation: Usoltsev, V. A. Modeling the additive stand biomass of Larix spp. for Eurasia / V. A. Usoltsev, S. O. R. Shobairi, V. P. Chasovskikh // Ecological Questions. – 2019. – Vol. 30. – Iss. 1. – P. 35-46.
Abstract: When using the unique in terms of the volumes of database on the level of a stand of the genus Larix Mill., the trans-Eurasian additive allometric models of biomass for Eurasian larch 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 Larix is harmonized in two levels, one of which provides the principle of additivity of biomass components, and the second one is associated with the introduction of dummy independent variables localizing model for eco-regions of Eurasia. Comparative analysis of the biomass structure of larch stands of different ecoregions at the age of 100 years shows, that the greatest values of biomass (210-450 t/ha) correspond to the regions adjacent to the Atlantic and Pacific coasts, as well as to the regions, located at the southern limit of larch growing area and the lowest – to northern taiga regions of Siberia, where larch grows on permafrost. The biomass indices of different ecoregions differed not only in absolute value but also in biomass ratios of different components; for example, the proportion of needles in the aboveground biomass is maximum (5.0-7.3%) in the northern taiga of Central Siberia and the Far East on permafrost and is minimum (1.4-1.9%) in larch forests of upper productivity having biomass values 210-450 t/ha. The proposed model and corresponding tables for estimating stand biomass makes them possible to calculate larch stand biomass on Eurasian forests when using measuring taxation.
Keywords: ALLOMETRIC MODELS
BIOLOGICAL PRODUCTIVITY
BIOMASS OF FORESTS
LARIX MILL.
SAMPLE PLOTS
LINEAR MIXED-MODEL
TREE BIOMASS
ABOVEGROUND BIOMASS
FORCING ADDITIVITY
ALLOMETRIC MODELS
CARBON STOCKS
EQUATIONS
FOREST
REGRESSIONS
URI: https://elar.usfeu.ru/handle/123456789/9161
DOI: 10.12775/EQ.2019.002
WoS: WOS:000460471500003
RSCI: 37381340
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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