Modelling the transformation of organic materials in soil with nuclear magnetic resonance spectra

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• 作者：M. Pansu ; L.J.-M. Thuriè ; s ; V. F. Soares ; M. L. Sim&otilde ; es and L. Martin Neto
• 刊名：European Journal of Soil Science
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：68
• 期：1
• 页码：90-104
• 全文大小：683K
• ISSN：1365-2389

文摘

Changes in the carbon (C) and nitrogen (N) compartments that result from the addition of organic material (OM) to the soil are predicted by the transformation of added OM (TAO) model with three parameters: very labile (P′_L) and stable (P_S) fractions of the OM and the rate of remineralization (k_remin) of nitrogen immobilized by microorganisms. We propose relations between P′_L, P_S, k_remin and various chemical groups in the OM identified by their ¹³C nuclear magnetic resonance (NMR) spectra. The aromatic content increased the predicted P_S in accordance with published results. The O-aromatic content also increased P_S, but much less so than the aromatic content. The carboxyl content decreased P_S and increased P′_L as in the TAO model based on infrared spectrometry. The carbonyl content decreased P′_L, whereas di-O-alkyl increased P′_L. The chemical composition of the population of decomposer organisms did not appear to be homeostatic, but was related rather to the composition of the substrate: k_remin was positively correlated with the carboxyl and di-O-alkyl content and negatively correlated with the alkyl content. Solid state ¹³C NMR spectroscopy gave better predictions of the transformations that resulted from adding OM than biochemical fractionation and near infrared reflectance spectrometry (NIRS). It is fast and non-destructive and provides new insights into the processes that control decomposition for research into waste recycling, agro-ecology and climate change.