JEQ Journal of Natural Resources and Life Sciences Education
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Published in J. Environ. Qual. 33:2333-2342 (2004).
© ASA, CSSA, SSSA
677 S. Segoe Rd., Madison, WI 53711 USA

TECHNICAL REPORTS

Waste Management

Simulating Urban Waste Compost Effects on Carbon and Nitrogen Dynamics Using a Biochemical Index

Benoît Gabrielle*, Jeanne Da-Silveira, Sabine Houot and Cédric Francou

Environment and Arable Crops Research Unit, Institut National de la Recherche Agronomique, 78850 Thiverval-Grignon, France

* Corresponding author (Benoit.Gabrielle{at}grignon.inra.fr)

Received for publication March 1, 2004. Composting has emerged as a valuable route for the disposal of urban waste, with the prospect of applying composts on arable fields as organic amendments. Proper management of urban waste composts (UWCs) requires a capacity to predict their effects on carbon and nitrogen dynamics in the field, an issue in which simulation models are expected to play a prominent role. However, the parameterization of soil organic amendments within such models generally requires laboratory incubation data. Here, we evaluated the benefit of using a biochemical index based on Van Soest organic matter fractions to parameterize a deterministic model of soil C and N dynamics, NCSOIL, as compared with a standard alternative based on laboratory incubation data. The data included C mineralization and inorganic N dynamics in samples of a silt loam soil (Typic Hapludalf) mixed with various types of UWC and farmyard manure. NCSOIL successfully predicted the various nitrogen mineralization–immobilization patterns observed, but underestimated CO2 release by 10 to 30% with the less stable amendments. The parameterization based on the biochemical index achieved a prediction error significantly larger than the standard parameterization in only 10% of the tested cases, and provided an acceptable fit to experimental data. The decomposition rates and C to N ratios of compost organic matter varied chiefly according to the type of waste processed. However, 62 to 66% of their variance could be explained by the biochemical index. We thus suggest using the latter to parameterize organic amendments in C and N models as a substitute for time-consuming laboratory incubations.

Abbreviations: BIO, biowaste compost • BSI, biological stability index • CEW, Wende cellulose extract • FYM, cattle farmyard manure • GWS, green waste and sewage sludge compost • HEMI, hemicellulose fraction • LIC, lignin fraction • MD, mean deviation • MSW, municipal solid waste compost • OM, organic matter • OPT, optimum parameterization scenario • RMSE, root mean squared error • SOL, soluble organic molecules • SSE, mean experimental error • UWC, urban waste compost


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T. C. Flavel and D. V. Murphy
Carbon and Nitrogen Mineralization Rates after Application of Organic Amendments to Soil
J. Environ. Qual., January 3, 2006; 35(1): 183 - 193.
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