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| Titel |
Fractal dimension analysis of landscape scale variability in greenhouse gas production potentials |
| VerfasserIn |
Elton da Silva Bicalho, Kurt Spokas, Newton Jr. La Scala |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250107585
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| Publikation (Nr.) |
 EGU/EGU2015-7291.pdf |
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| Zusammenfassung |
| Soil greenhouse gas emission is influenced by tillage and management practices that modify
soil attributes directly related to the dynamics of soil carbon in the agricultural environment.
The aim of this study was to assess the soil CO2 and N2O production potentials and their
spatial variability characterized by fractal dimension in different scales, in addition to their
correlation with other soil attributes. The quantification of soil CO2 and N2O production was
carried out from dry soil samples collected in a grid of 50 x 50 m containing 133 points
arranged symmetrically on a sugarcane area under green residue management in southern
Brazil. Laboratory incubations were used to analyze greenhouse gas dynamics by gas
chromatography.
Soil CO2 and N2O production were correlated significantly (P < 0.05) with microbial
biomass, silt and clay content, pH, available phosphorus, sum of metal cations (bases), and
cation exchange capacity. Similarly, these soil attributes also were correlated with
microbial biomass, supporting their role in soil microbial activity and greenhouse gas
production. Furthermore, variations in the fractal dimension over the scale indicate
that the pattern of the spatial variability structure of soil CO2 production potential
was correlated to that observed for microbial biomass, pH, available phosphorus,
sum of bases, and cation exchange capacity. On the other hand, only the spatial
structure of the clay content, pH and the sum of bases were correlated with the soil
N2O production. Therefore, examining the fractal dimension enables the spatially
visualization of altering processes across a landscape at different scales, which highlights
properties that influence greenhouse gas production and emission in agricultural areas. |
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