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Effect of soil redox conditions on microbial oxidation of organic matter

  • K. R. Reddy
  • T. C. Feijtel
  • W. H. PatrickJr.
Part of the Developments in Plant and Soil Sciences book series (DPSS, volume 25)

Abstract

Soils undergo varying redox changes as a result of restricted gaseous exchange, increased soil-water content due to poor drainage, and flooding or incorporation of highly O2 demanding carbonaceous wastes. Depending on the intensity of these conditions, soil O2 can decrease to negligible concentrations, thus decreasing the aerobic soil volume and increasing the anaerobic soil volume. The microbial populations which thrive on O2 decrease and facultative anaerobes and obligate anaerobes which rely on other sources of electron acceptors predominate. The rate at which these bacteria obtain energy for their growth and cell maintenance depends on the oxidation-reduction reactions utilizing specific inorganic or organic molecules as electron acceptors and substrate availability. Depending on the redox status of the soil, two general types of microbial metabolisms are found: (1) processes utilizing inorganic substances (O2, nitrogen oxides such as NO 3, NO 2, NO, N2O, manganic compounds, ferric oxyhydroxide compounds, SO2− 4, CO2, and H2), and (2) fermentative processes in which organic molecules (succinate) are utilized as electron acceptors. Under substrate nonlimiting conditions and in the absence of competition among electrons, these types of microbial metabolisms can occur simultaneously in different soil zones of the same soil. For example, in a typically well-drained soil, O2 can be used as an electron acceptor during respiration of aerobic bacteria, while in anaerobic microzones, NO 3, and manganese compounds are used as electron acceptors during respiration of facultative anaerobic bacteria.

Keywords

Organic Matter Soil Organic Matter Electron Acceptor Rice Straw Paddy Soil 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Martinus Nijhoff Publishers, Dordrecht 1986

Authors and Affiliations

  • K. R. Reddy
  • T. C. Feijtel
  • W. H. PatrickJr.

There are no affiliations available

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