Article ID Journal Published Year Pages File Type
6363312 Agricultural Water Management 2016 14 Pages PDF
Abstract

•Uncertainties in model parameterization were higher in bi-cropping systems.•Data dispersion (CV*) of modeled water-related output varied from 0 to 26%.•Soil water balance in bi-cropping systems showed minor soil water deficits in summer.•The annual water balance was positive in all treatments due to the humid climate.

This study was focused on modeling soil water, carbon (C), and nitrogen (N) dynamics in soil and crop emphasizing uncertainties in model parameterization and the evaluation of potential water stress for silage maize cultivations on a drained field. The CoupModel was applied on different management systems for silage maize (Zea mays) in monoculture and undersown with grass (Lolium perenne L.) on a sandy-humic soil. Four different fertilization levels with 0, 150 kg of mineral-N, 40 m3 of cattle slurry (72-148 kg N ha−1 year−1), and combined slurry/mineral-N (222-298 kg N ha−1 year−1) were simulated over five years. Results were based on most plausible parameter combinations regarding simulated biomass obtained from 10,000 runs by the Generalized Likelihood Uncertainty Estimation (GLUE) approach. The uncertainty in model parameterization was reduced significantly by limiting the number of simulations for each treatment sequentially resulting in quartile coefficients of variation (CV*) < 25% for 26% and 36% of selected input parameters in bi-cropping and monoculture systems, respectively. Average soil temperatures in upper soil depths, the groundwater level, water potentials, and water contents between 10 and 80 cm of depth were reproduced plausibly with the model as well as plant C and N contents. The CV* values of evapotranspiration and total runoff ranged between 0 and 26% and 8-21%, respectively, on half-yearly basis. Significant differences between the cropping systems were found, even though the soil water balance was positive for all systems, and the potential water stress was only minor in bi-cropping systems.

Related Topics
Life Sciences Agricultural and Biological Sciences Agronomy and Crop Science
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