Pedosphere 24(5): 563--574, 2014
ISSN 1002-0160/CN 32-1315/P
©2014 Soil Science Society of China
Published by Elsevier B.V. and Science Press
| Soil organic matter characterization using S3 and S4 signals from Rock-Eval pyrolysis |
M. HETÉNYI and T. NYILAS |
| Department of Mineralogy, Geochemistry and Petrology, University of Szeged, P.O. Box 651, H-6701 Szeged (Hungary) |
| ABSTRACT |
| Variations in the abundance of soil organic matter (SOM) constituents with different stability have a major impact on important environmental processes, e.g., carbon dioxide (CO2) fluxes between the soil and the atmosphere. Recently, besides the bulk Rock-Eval (RE) data, the mathematical deconvolution of the signals derived from hydrocarbon-like compounds released by thermal cracking of SOM during RE pyrolysis has been increasingly used to estimate the relative contribution of the major SOM classes differing in origin and preservation. This study applied the mathematical deconvolution of the carbon monoxide (CO) and CO2 signals, produced both by the pyrolysis of the oxygen-containing moieties and by the oxidation of the residual highly resistant organic matter, to characterize the stability of these components. Our results suggested that the stability of the oxygen-containing moieties was controlled by the precursor material and was strongly affected by the land use and the presence of humic substances in the surface horizon of some main soil types in Hungary. In consistence with the bulk RE data, results of the mathematical deconvolution also proved to be diagnostic markers for discriminating the aquatic or terrigenous plants as the main sources of SOM. The mathematical deconvolution of S4 signals derived from the highly resistant SOM fraction allowed us to quantify the contribution of constituents with different stability. Furthermore, the results of this study displayed that the stability of this highly abundant SOM fraction in the surface soil samples depended on source biomass and intensity of leaching. |
| Key Words: biomass, leaching, mathematical deconvolution, oxygen-containing moieties, SOM sources, SOM stability |
| Citation: HetÉnyi, M. and Nyilas, T. 2014. Soil organic matter characterization using S3 and S4 signals from Rock-Eval pyrolysis. Pedosphere. 24(5): 563-574. |
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