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Daycent Simulation of Methane Emissions, Grain Yield, and Soil Organic Carbon in a Subtropical Paddy Rice System Rev. Bras. Ciênc. Solo
Weiler,Douglas Adams; Tornquist,Carlos Gustavo; Zschornack,Tiago; Ogle,Stephen Michael; Carlos,Filipe Selau; Bayer,Cimélio.
ABSTRACT The DayCent ecosystem model, widely tested in upland agroecosystems, was recently updated to simulate waterlogged soils. We evaluated the new version in a paddy rice experiment in Southern Brazil. DayCent was used to simulate rice yield, soil organic carbon (SOC), and soil CH4 fluxes. Model calibration was conducted with a multiple-year dataset from the conventional tillage treatment, followed by a validation phase with data from the no-tillage treatment. Model performance was assessed with statistics commonly used in modeling studies: root mean square error (RMSE), model efficiency (EF), and mean difference (M). In general, DayCent slightly underestimated rice yields under no-tillage (by 0.07 Mg ha-1, or 9.2 %) and slightly overestimated soil C...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Modeling; Soil potential redox; Flooded soil; Greenhouse gas; Soil tillage.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100523
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