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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/25597
Title: Geodistributed analysis of forest phytomass: Subcarpathian voivodeship as a case study
Authors: Striamets, O.
Lyubinsky, B.
Charkovska, N.
Stryamets, S.
Bun, R.
Bibliographic description (Ukraine): Geodistributed analysis of forest phytomass: Subcarpathian voivodeship as a case study / O. Striamets, B. Lyubinsky, N. Charkovska, S. Stryamets, R. Bun // Econtechmod : an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2014. – Volum 3, number 1. – P. 95–104. – Bibliography: 24 titles.
Issue Date: 2014
Publisher: Lviv Polytechnic National University
Keywords: information technology
digital maps
GIS
IPCC methodology
forest inventory
deposited carbon
Abstract: An approach to the implementation of spatial inventory of greenhouse gas sinks and emissions in forestry sector is presented. The algorithms for disaggregation of official statistical data on forests at the regional level, and formation of geodistributed database using the digital map of land use are proposed. As an example the forests of Subcarpathian Voivodeship of Poland were investigated. This study presents the results of modeling the flow of carbon in forest phytomass taking into account different tree species composition, age class and other characteristics. The ‘regional’ coefficients for phytomass and carbon deposited were clarified taking into account regional specificity. Also an algorithm for determining aboveground and underground phytomass of tree by its stock and forests of different types has been created. The correlation between the total area and stock for each species of forest-forming stands was analysed. The multilayer digital maps of deposited carbon, and greenhouse gas emissions in forests of Subcarpathian Voivodeship were created. For the spatial inventory of forest phytomass the territory of voivodeship was divided into square areas 2x2 kilometers in size, and stock phytomass in each such elementary area has been analised. Acheaved results were verified using GIS technology, and forest inventory data.
URI: https://ena.lpnu.ua/handle/ntb/25597
Content type: Article
Appears in Collections:Econtechmod. – 2014. – Vol. 3, No. 1

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