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Run factorial apsim
Run factorial apsim












run factorial apsim

Sem a calibração, o NDICEA apresentou desvios de 10,46 e 14,46 %, e o CENTURY, de 21,42 e 31,84 %, para a decomposição dos resíduos de mucuna e calopogônio, respectivamente. O APSIM simulou a decomposição para mucuna e calopogônio, por exemplo, com desvios de 37,62 e 48,23 %, respectivamente, em relação aos dados observados, constituindo-se naquele com menor grau de acurácia dos modelos sem calibração. Em sua calibração original, os modelos superestimaram a decomposição e liberação de N dos resíduos dos materiais vegetais, evidenciando a necessidade de calibração para as condições tropicais. Legumes nutrient cycling organic farming plant productionĮste trabalho teve como objetivo calibrar os modelos de simulação CENTURY, APSIM e NDICEA para estimar a taxa de decomposição e liberação do N de materiais orgânicos de origem vegetal (amendoim forrageiro, calopogônio, estilosantes e mucuna) durante 360 dias em ambiente tropical do bioma Mata Atlântica. 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. The calibrated NDICEA model showed the highest level of accuracy, followed by the APSIM and CENTURY. After calibration, the models showed a high level of accuracy in estimating decomposition and N- mineralization, with an error rate of less than 20 %. 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. 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. 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. 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.














Run factorial apsim