Rapid assessment of soil organic matter: Soil color analysis and Fourier 
transform infrared spectroscopy

Baumann, Karen; Schöning, Ingo; Schrumpf, Marion; Ellerbrock, Ruth H.; Leinweber, Pete

doi:10.1016/j.geoderma.2016.05.012

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Rapid assessment of soil organic matter: Soil color analysis and Fourier transform infrared spectroscopy

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Schöning, Ingo
Soil and Ecosystem Processes, Dr. M. Schrumpf, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62545

Schrumpf, Marion
Soil and Ecosystem Processes, Dr. M. Schrumpf, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;
Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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引用

Baumann, K., Schöning, I., Schrumpf, M., Ellerbrock, R. H., & Leinweber, P. (2016). Rapid assessment of soil organic matter: Soil color analysis and Fourier transform infrared spectroscopy. Geoderma, 278, 49-57. doi:10.1016/j.geoderma.2016.05.012.

引用: https://hdl.handle.net/11858/00-001M-0000-002B-0C8D-0

要旨

Soil organicmatter (SOM) content and compositionmay be affected by geographic region, land use (grassland vs.
forest) and management intensity (intensive vs. extensive). To asses these effects SOM of 300 German soils was
characterized using soil color analyses (L*,a*,b*-values) and Fourier transform infrared (FTIR) spectroscopy. Soil
lightness (L*-value)was strongly negatively correlatedwith the soil organic carbon content and this relationship
was stronger when the previously sieved soils were ground. Using the band at wavenumber 1634 cm−1 (as determined
by FTIR) as a proxy for aromaticity of SOM the L*-value was negatively correlated with aromaticity.
Geographic region as well as land use affected L*-, a*- and b*-values. FTIR results suggested that particularly amides
and polysaccharideswere affected by geographic region,whilemainly polysaccharideswere affected by land
use.Weconclude that soil color analysis can provide additional information on environmental circumstances/site
effects which may affect SOM composition. A few only weak correlations of soil color/SOM composition parameters
withmanagement intensity indicate that either changes in SOMparameters were too small or that the applied
management indices were not sensitive enough to management effects.