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Abstract
Eucalyptus species play an important role in the global carbon cycle, especially in reducing the greenhouse effect as well as storing atmospheric CO₂. Thus, assessing the amount of CO₂ released by the soil in forest areas can generate important information for environmental monitoring. This study aims to verify the relation between soil carbon dioxide (CO₂) flux (FCO₂), spectral bands, and vegetation indices (VIs) derived from a UAV-based multispectral camera over an area of eucalyptus species. Multispectral imageries (green, red-edge, and near-infrared) from the Parrot Sequoia sensor, derived vegetation indices, and the FCO₂ data from a LI-COR 8100 analyzer, combined with soil moisture and temperature data, were collected and related. The vegetation indices ATSAVI (Adjusted Transformed Soil-Adjusted VI), GSAVI (Green Soil Adjusted Vegetation Index), and SAVI (Soil-Adjusted Vegetation Index), which use soil correction factors, exhibited a strong negative correlation with FCO₂ for the species E. camaldulensis, E. saligna, and E. urophylla species. A Multivariate Analysis of Variance showed significance (p < 0.01) for the species factor, which indicates that there are differences when considering all variables simultaneously. The results achieved in this study show a specific correlation between the data of soil CO₂ emission and the eucalypt species, providing a distinction of values between the species in the statistical data.
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Details
1 State University of São Paulo (UNESP), PPG-Ciência do Solo, Jaboticabal, Brazil (GRID:grid.410543.7) (ISNI:0000 0001 2188 478X)
2 State University of Mato Grosso (UNEMAT), PPG-Bionorte, Sinop, Brazil (GRID:grid.410543.7)
3 Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul, Brazil (GRID:grid.412352.3) (ISNI:0000 0001 2163 5978)
4 Federal University of Mato Grosso (UFMT), PPGCAM, Sinop, Brazil (GRID:grid.411206.0) (ISNI:0000 0001 2322 4953)
5 Brazilian Agricultural Research Corporation, National Soybean Research Center (Embrapa Soja), Londrina, Brazil (GRID:grid.460200.0) (ISNI:0000 0004 0541 873X)
6 State University of Mato Grosso (UNEMAT), Department of Geography, Sinop, Brazil (GRID:grid.410543.7)