Calibration of the century, apsim and ndicea models of decomposition and n mineralization of plant residues in the humid tropics

• Main Authors: Alexandre Ferreira do Nascimento, Eduardo de Sá Mendonça, Luiz Fernando Carvalho Leite, Júlio Cesar Lima Neves
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Ciência do Solo 2011-06-01
• Series: Revista Brasileira de Ciência do Solo
• Subjects: leguminosas; ciclagem de nutrientes; agricultura orgânica; produção vegetal
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832011000300026&lng=en&tlng=en

The aim of this study was to calibrate the CENTURY, APSIM and NDICEA simulation models for estimating decomposition and N mineralization rates of plant organic materials (Arachis pintoi, Calopogonium mucunoides, Stizolobium aterrimum, Stylosanthes guyanensis) for 360 days in the Atlantic rainforest bioma of Brazil. The models´ default settings overestimated the decomposition and N-mineralization of plant residues, underlining the fact that the models must be calibrated for use under tropical conditions. For example, the APSIM model simulated the decomposition of the Stizolobium aterrimum and Calopogonium mucunoides residues with an error rate of 37.62 and 48.23 %, respectively, by comparison with the observed data, and was the least accurate model in the absence of calibration. At the default settings, the NDICEA model produced an error rate of 10.46 and 14.46 % and the CENTURY model, 21.42 and 31.84 %, respectively, for Stizolobium aterrimum and Calopogonium mucunoides residue decomposition. After calibration, the models showed a high level of accuracy in estimating decomposition and N- mineralization, with an error rate of less than 20 %. The calibrated NDICEA model showed the highest level of accuracy, followed by the APSIM and CENTURY. All models performed poorly in the first few months of decomposition and N-mineralization, indicating the need of an additional parameter for initial microorganism growth on the residues that would take the effect of leaching due to rainfall into account.