Decomposition and Nitrogen Mineralization from Biosolids and Other Organic Materials: Relationship with Initial Chemistry

• Published in: Journal of environmental quality 2001-07, Vol.30 (4), p.1401-1410
• Main Authors: Rowell, Douglas M., Prescott, Cindy E., Preston, Caroline M.
• Format: Article
• Language: English
• Subjects: Agronomy. Soil science and plant productions; Biological and medical sciences; Biosolids; Chemical Phenomena; Chemistry; Chemistry, Physical; Decomposition; Fertilizers; Forecasting; Fundamental and applied biological sciences. Psychology; General agronomy. Plant production; Magnetic Resonance Spectroscopy; Mineralization; Minerals; Models, Theoretical; Nitrogen; Nitrogen - chemistry; NMR; Nuclear magnetic resonance; Organic matter; Other nutrients. Amendments. Solid and liquid wastes. Sludges and slurries; Phenols; Plant Leaves - chemistry; Pseudotsuga menziesii; Sewage; Sewage treatment; Soil-plant relationships. Soil fertility. Fertilization. Amendments; Trees; Wastewater treatment; Wheat straw
• ISSN: 0047-2425; 1537-2537
• DOI: 10.2134/jeq2001.3041401x

ABSTRACT Biosolids are effective forest fertilizers. In order to facilitate their use it is important that one be able to predict the amount and rate of mineralization of nutrients, particularly nitrogen, and the relationship between substrate chemistry and N release. We examined the relationships between substrate quality and nitrogen release in a variety of organic materials. Rates of decomposition and net N mineralization from four biosolids, wheat straw, paper fines, and Douglas‐fir [Pseudotsuga menziesii (Mirb.) Franco] needle litter were measured during 391‐d incubations in a greenhouse, and at two field sites in wet coastal and dry interior forests. Decomposition rates were best predicted by a model incorporating the ratio of carbon to organic matter. The decomposition model extrapolated well to the field when site‐specific correction factors were applied. There was a weak relationship between rates of decomposition and net N mineralization. Rates of net N mineralization were best predicted by a model incorporating the initial organic N concentration and the proportion of phenolic C determined from solid‐state 13C nuclear magnetic resonance (NMR) spectroscopy. The mineralization model extrapolated less well to the field, but the effect of substrate chemistry was still apparent. Among the four biosolids there was a strong correlation between organic N concentration and indices of protein determined from 13C NMR, suggesting that these protein indices may be useful for predicting N mineralization from biosolids. There was some evidence that the protein content and N mineralization in biosolids may be predictable from the sewage treatment process employed.