Field Validation of DNDC and SWAP Models for Temperature and Water Content of Loamy and Sandy Loam Spodosols

Abstract

A b s t r a c t. The objectives of the research were to: fulfil the preliminary assessment of the sensitivity of the soil, water, atmosphere, and plant and denitrification and decomposition models to variations of climate variables based on the existing soil database; validate the soil, water, atmosphere, and plant and denitrification and decomposition modelled outcomes against measured records for soil temperature and water content. The statistical analyses were conducted by the sensitivity analysis, Nash-Sutcliffe efficiency coefficients and root mean square error using measured and modelled variables during three growing seasons. Results of sensitivity analysis demonstrated that: soil temperatures predicted by the soil, water, atmosphere, and plant model showed a more reliable sensitivity to the variations of input air temperatures; soil water content predicted by the denitrification and decomposition model had a better reliability in the sensitivity to daily precipitation changes. The root mean square errors and Nash-Sutcliffe efficiency coefficients demonstrated that: the soil, water, atmosphere, and plant model had a better efficiency in predicting seasonal dynamics of soil temperatures than the denitrification and decomposition model; and among two studied models, the denitrification and decomposition model showed a better capability in predicting the seasonal dynamics of soil water content.K e y w o r d s: agroecosystem modelling, model validation, soil water content, soil temperature, Spodosols

Effects of conventional moldboard and reduced tillage on seasonal variations of direct CO2 and N2O emissions from a loam Haplic Luvisol

“…The Spearman's rank correlation coefficients for relationships between soil temperature and air temperature ranged from 0.78 to 0.82 (at P < 0.05) and from 0.73 to 0.76 (at P < 0.05) between treatments of CT and RT, respectively. These results also agreed with data obtained by Balashov et al (2014) and Licht and Al-Kaisi (2005).…”

“…Water-retention curves of undisturbed soil samples were measured by a pressure-plate apparatus at water potentials of −5, −20, −50, −100 and − 300 kPa (Soil Survey Laboratory Methods Manual 1996). A saturated hydraulic conductivity of undisturbed soil samples was measured using the lab method as published in Antal and Igaz (2006).…”

The development of the DNDC plant growth sub-model and the application of DNDC in agriculture: A review

“…Several studies have investigated the effectiveness of the DNDC model to access and predict GHG emissions and crop yields under different management practices and emissions scenarios in wheat fields and have demonstrated that the simulated results of DNDC are helpful in choosing best management practices to decrease nitrate leaching and N 2 O and NO emissions (Ludwig et al, 2011;Smith et al, 2013;Cui et al, 2014;Sansoulet et al, 2014). In addition, DNDC is also widely used and compared with other models to investigate the influence of future climate change and the application of advanced agricultural management measures to achieve good application results in barley fields (Abdalla et al, 2011;Smith et al, 2012;Cardenas et al, 2013;Balashov et al, 2014;Deng et al, 2015).…”

Effects of land use and irrigation intensity on the transport of iodide in structured clay loam soil

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