Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study

被引:88
作者
Mohanty, M. [1 ,2 ]
Reddy, K. Sammi [1 ]
Probert, M. E. [3 ]
Dalal, R. C. [2 ,4 ]
Rao, A. Subba [1 ]
Menzies, N. W. [2 ]
机构
[1] Indian Inst Soil Sci, Bhopal 462038, MP, India
[2] Univ Queensland, Sch Land Crop & Food Sci, St Lucia, Qld 4072, Australia
[3] Queensland Biosci Precinct, CSIRO Sustainable Ecosyst, St Lucia, Qld 4067, Australia
[4] Dept Environm & Resource Management, Indooroopilly, Qld 4068, Australia
关键词
Farmyard manure; Gliricidia; Nitrogen; Mineralization/immobilization; Modelling; APSIM; 3 CROPPING SYSTEMS; NITROGEN MINERALIZATION; ORGANIC-MATTER; PLANT RESIDUES; SANDY LOAM; SOIL; DECOMPOSITION; TURNOVER; CARBON; YIELD;
D O I
10.1016/j.ecolmodel.2010.10.027
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Predicting N mineralization from organic manures like farmyard manure (FYM) is more difficult than from fresh organic materials like crop residues, as the manures vary greatly in composition. A laboratory incubation experiment was carried out for 98 days at 30 degrees C under aerobic conditions to study the effects on N dynamics of Gliricidia (Gliricidia sepium, Jacquin) and FYM application to soil at 5 and 10 g kg(-1). Application of Gliricidia induced N mineralization from the start of incubation period, with the amount of N mineralized increasing with rate of application. In contrast, application of FYM resulted in immobilization of mineral N in soil, irrespective of the rate of application. The initial net immobilization from FYM was limited by availability of N in the soil for the higher rate of application. We used the APSIM SoilN module to simulate these contrasting patterns of mineralization of N from Gliricidia and from FYM. The prediction of N mineralized from Gliricidia was better than FYM. The default model parameters specify that the fresh organic matter pools (FPOOL1. FPOOL2 and FPOOL3) have the same C:N ratio and this assumption was ineffective in predicting N mineralized from FYM. The predictive ability of the model improved when this default assumption was modified based on the size of the individual pools (FPOOL1, FPOOL2 and FPOOL3), and the pool's C:N ratios. The modelling efficiency, a measure of goodness of fit between the simulated and observed data, improved markedly for the modified model. The discrepancy between the modelled and observed data was a tendency for the model to underestimate the rate of re-mineralization at the lower rate of application of FYM in the later part of incubation. Unfortunately the appropriate modification to the size and C:N ratios of the FPOOLs could not be determined on the basis of chemical analysis alone. Thus, a true predictive application of the model to a new FYM material is not yet possible. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:719 / 726
页数:8
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