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Predicting soil water and mineral nitrogen contents with the STICS model for estimating nitrate leaching under agricultural fields

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  • Jégo, G.
  • Sánchez-Pérez, J.M.
  • Justes, E.

Abstract

The performance of the STICS soil-crop model for the dynamic prediction of soil water content (SWC) and soil mineral nitrogen (SMN) in the root zone (120cm) of seven agricultural fields was evaluated using field measurements in a coarse-grained alluvial aquifer of the Garonne River floodplain (southwestern France) from 2005 to 2007. The STICS model was used to simulate drainage and nitrate concentration in drainage water in all the agricultural fields of the study area, in order to quantify and assess the temporal and spatial variability of nitrate leaching into groundwater. Simulations of SWC and SMN in the seven monitored fields were found to be satisfactory as indicated by root mean square error (RMSE) and model efficiency being 6.8 and 0.84% for SWC and 22.8 and 0.92% for SMN, respectively. On average, SWC was slightly overestimated by a mean difference of 10mm (3%) and there was almost no bias in SMN estimations (<0.5%). These satisfactory results demonstrate the potential for using the STICS model to accurately simulate nitrate leaching.

Suggested Citation

  • Jégo, G. & Sánchez-Pérez, J.M. & Justes, E., 2012. "Predicting soil water and mineral nitrogen contents with the STICS model for estimating nitrate leaching under agricultural fields," Agricultural Water Management, Elsevier, vol. 107(C), pages 54-65.
    • Handle: RePEc:eee:agiwat:v:107:y:2012:i:c:p:54-65
    DOI: 10.1016/j.agwat.2012.01.007
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    Cited by:

    1. Arbat, G. & Roselló, A. & Domingo Olivé, F. & Puig-Bargués, J. & González Llinàs, E. & Duran-Ros, M. & Pujol, J. & Ramírez de Cartagena, F., 2013. "Soil water and nitrate distribution under drip irrigated corn receiving pig slurry," Agricultural Water Management, Elsevier, vol. 120(C), pages 11-22.
    2. Suárez-Rey, E.M. & Romero-Gámez, M. & Giménez, C. & Thompson, R.B. & Gallardo, M., 2016. "Use of EU-Rotate_N and CropSyst models to predict yield, growth and water and N dynamics of fertigated leafy vegetables in a Mediterranean climate and to determine N fertilizer requirements," Agricultural Systems, Elsevier, vol. 149(C), pages 150-164.
    3. Arkadiusz Artyszak & Dariusz Gozdowski, 2021. "Application of Growth Activators and Plant Growth-Promoting Rhizobacteria as a Method of Introducing a “Farm to Fork” Strategy in Crop Management of Winter Oilseed," Sustainability, MDPI, vol. 13(6), pages 1-10, March.
    4. Kunrath, Taise Robinson & de Berranger, Christophe & Charrier, Xavier & Gastal, François & de Faccio Carvalho, Paulo César & Lemaire, Gilles & Emile, Jean-Claude & Durand, Jean-Louis, 2015. "How much do sod-based rotations reduce nitrate leaching in a cereal cropping system?," Agricultural Water Management, Elsevier, vol. 150(C), pages 46-56.
    5. L. Kučová & J. Záhora & R. Pokluda, 2016. "Effect of mycorrhizal inoculation of leek Allium porrum L. on mineral nitrogen leaching," Horticultural Science, Czech Academy of Agricultural Sciences, vol. 43(4), pages 195-202.
    6. Anna Podlasek & Eugeniusz Koda & Magdalena Daria Vaverková, 2021. "The Variability of Nitrogen Forms in Soils Due to Traditional and Precision Agriculture: Case Studies in Poland," IJERPH, MDPI, vol. 18(2), pages 1-28, January.

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