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Carbon stock sequesteres from the atmosphere by coniferous forests in Svaneti
- Source :
- Annals of Agrarian Science, Vol 14, Iss 3, Pp 269-272 (2016)
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- Dark coniferous forests with dominating Caucasian fir are basically distributed in West Georgia. They occupy 153.920 ha with the wood substance stock of 61191,5 thousand m3, respectively making 91,3 and 91,0% of fir woods in Georgia. Forests with dominating oriental spruce are distributed comparatively evenly in Georgia; 55,3% (55354 ha) of spruce stands come to West Georgia. Coniferous forests in Svaneti were chosen as the object of the research. Forests with dominating Caucasian fir occupying 60100 ha in Svaneti have absorbed up to 7,85 million tons of carbon from the atmosphere and annually it sequesters up to 189,3 thousand tons of carbon dioxide. In the forest biomass with dominating Caucasian fir occupying 14345 ha has accumulated up to 1,13 million tons of carbon. Spruce stand annually sequesters up to 35,9 thousand tons of CO2. The Article describes distribution of biomass and carbon stock in dark conferous forests according to the stand age groups and single fractions. High indicators of carbon dioxide annually sequestered by dark coniferous forests of Svaneti Region once again emphasize the special role of forests in the process of air exchange on the Earth.
- Subjects :
- 040101 forestry
Sequestered carbon
Ecology
Air exchange
Forestry
04 agricultural and veterinary sciences
General Medicine
Stand fraction
lcsh:S1-972
040501 horticulture
chemistry.chemical_compound
Oriental spruce
chemistry
Age groups
Caucasian fir
Carbon dioxide
0401 agriculture, forestry, and fisheries
Environmental science
lcsh:Agriculture (General)
0405 other agricultural sciences
lcsh:Science (General)
Carbon stock
lcsh:Q1-390
Subjects
Details
- ISSN :
- 15121887
- Volume :
- 14
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Annals of Agrarian Science
- Accession number :
- edsair.doi.dedup.....3139bf30f0de3580f0f9550acaf5c5f2
- Full Text :
- https://doi.org/10.1016/j.aasci.2016.08.013