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Spatial analysis and quantification of carbon stock in the forest ecosystems in restoration process (Minas Gerais State, Brazil)
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Australian Journal of Basic and Applied Sciences
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Áreas Temáticas da Extensão
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Abstract
Aiming to carry out the spatial analysis and quantify the carbon storage
in three different forest ecosystems surrounding the Camargos and Itutinga dams in the
State of Minas Gerais, namely, degraded (DE), disturbed (PE) and preserved (CON)
ecosystems, equations were applied to the data obtained through the forest inventory.
Samples were fractionated into non-woody materials (NWM) and woody material
(WM), and soil was collected at depths between 0 and 10 cm, and between 10 and 20
cm in all permanent plots. Geostatistical and kriging methods for map production were
applied. According to the results, carbon stocks in the arboreal stratum were 33.52,
47.43 and 42.25 ton.ha-1, and was found low values of carbon stock in the NWM
around 3.68 ton.ha-1, 4.62 ton.ha-1 and 2.52 ton.ha-1, both respectively in DE, PE and
CON ecosystems. The exponential model was found to be best adjusted for depicting
the spatial continuity of carbon stock for the arboreal stratum and soil at depth between
10 and 20 cm. For NWM, WM and the soil, at depths between 0 and 10 cm, the
Gaussian model was found to be the best. The highest rates of carbon storage in the
arboreal stratum (from 68.71 ton.ha-1 to 102.09 ton.ha-1) were focused in R5 and R1
portions of PE ecosystem. Distribution of carbon stocks in NWM showed
homogeneous behaviour while, in WM, spatial distribution occurred irregularly. The
largest stock of organic carbon was distributed in R4 area (PE). The carbon presents
spatial dependence and data were adjusted to exponential and Gaussian models.
Therefore, usage of fast-growing leguminous plants can create conditions and
potentialize the restoration process in poor soils, and also promote the carbon stocking.
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VILAS BÔAS, R.; BOTELHO, S. A.; MELLO, J. M. de; SILVA, C. A. Spatial analysis and quantification of carbon stock in the forest ecosystems in restoration process (Minas Gerais State, Brazil). Australian Journal of Basic and Applied Sciences, [S. l.], v. 8, n. 13, p. 454-461, Aug. 2014.
