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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/25573
Title: Information technology for studying carbon sink in stemwood of forest ecosystems
Authors: Tokar, O.
Lesiv, M.
Korol, M.
Bibliographic description (Ukraine): Tokar O. Information technology for studying carbon sink in stemwood of forest ecosystems / O. Tokar, M. Lesiv, M. Korol // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2014. – Volum 3, number 1. – P. 113–120. – Bibliography: 26 titles.
Issue Date: 2014
Publisher: Lviv Polytechnic National University
Keywords: forest ecosystems
mathematical models of carbon sink in forest ecosystems
spatial inventory
Abstract: An information technology for calculation of carbon ink in stemwood of forest ecosystems on a territorial basis is developed. This information technology involves interpretation of input data of statistical inventory of forest stands using electronic maps of forestry, formation of databases and processing the data by applying a special algorithm for calculating the carbon sink in stemwood and presenting the results in a form of thematic maps. The estimation of the carbon sink in stemwood is done by using a "bottom-up" (wood – sample plots (SP) - forestry) approach applying mathematical models of distributed inventory of the carbon sink that take into account regional specificities of species in the study area and average annual growth of biomass. We estimated carbon sink in stemwood using data from experimental studies conducted on 54 sample plots of forestry “Spaske” of forest enterprise "Broshnivske FE" of Ivano-Frankivsk region. The largest carbon sink occurs in mixed forest ecosystems - 1829 tons/year, the average carbon sink (per ha) is 951 kg/year. The information technology can be applied for estimation of the carbon sink in forest stemwood in any part of Ukraine or another country where necessary input data are available.
URI: https://ena.lpnu.ua/handle/ntb/25573
Content type: Article
Appears in Collections:Econtechmod. – 2014. – Vol. 3, No. 1

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