Quantifying and modelling C and N mineralization kinetics of catch crop residues in soil: parameterization of the residue decomposition module of STICS model for mature and non mature residues

被引:102
作者
Justes, E. [2 ]
Mary, B. [3 ]
Nicolardot, B. [1 ]
机构
[1] Univ Bourgogne, ENESAD, INRA, UMR 1210, F-21079 Dijon, France
[2] INRA, UMR 1248, AGIR, INP ENSAT, F-31326 Castanet Tolosan, France
[3] INRA, Unite Agroimpact, F-02007 Laon, France
关键词
Decomposition; Catch crop; Crop residues; Model; Incubation; Mineralization; NITROGEN MINERALIZATION; BIOCHEMICAL QUALITY; PLANT RESIDUES; SPRING BARLEY; COVER CROP; RED-CLOVER; CELL-WALL; CARBON; DYNAMICS; GROWTH;
D O I
10.1007/s11104-009-9966-4
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
C and N mineralization kinetics of 25 catch crop (CC) residues, whose organic C:N ratio varied from 9.5 to 34.0, were studied during soil incubations under controlled conditions. Decomposition rates were rather similar for the different CC residues, 59% to 68% residue-C being mineralized after 168 days incubation. C mineralized during the first weeks was mainly correlated to the soluble C content of the residue. N mineralized from CC residues was much more variable (-4.9 to +38.0 mg N g(-1) added C at day 168), and was mainly related to the organic N content in residues. C and N mineralization kinetics were simulated with STICS residue decomposition model, using the previous parameterization mostly based on mature crop residues (Nicolardot et al. Plant Soil 228:83-103, 2001). A reasonable agreement was found between measured and simulated C kinetics but N mineralization was underestimated by the model. A new parameterization was carried out to improve N predictions. The fitting procedure was first applied independently to each CC residue in order to optimise the five parameters of the model. The relationships found between each optimised parameter and the C:N ratio of CC residues were similar to those obtained previously, indicating that the same model was applicable to all residues. The parameters of these relationships were fitted on a combined dataset including CC and mature residues. The new parameterisation lead to better simulations for CC residues, the errors of prediction (RMSE) for C and N mineralization being 32 and 1.8 mg g(-1) added C, respectively. For the whole dataset (68 residues), the RMSE were 50 and 3.3 mg g(-1) added C. The prediction quality is satisfactory with respect to the model simplicity and the single criterion of residue quality (C:N ratio).
引用
收藏
页码:171 / 185
页数:15
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