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The value of simulating the soil water and nitrogen dynamics in decision support systems for plot-scale agro-environmental management

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  • Huertas-Fernández, F.
  • Suárez-Rey, E.M.
  • Ramón, C.L.
  • Giménez, C.
  • Rueda, F.J.

Abstract

Nitrogen N losses from vegetable fields, primarily due to nitrate leaching, represent one of the most challenging problems that modern agriculture faces. Decision Support Systems (DSS) developed to guide plot-scale fertilization and minimize N losses are based on estimates of crop water/N potential requirements during the growth cycle. Irrigation/fertilization strategies can be designed based on these estimates, assuming that all applied water/N is used by the crop. Losses due to deep drainage or leaching are overlooked, but could be significant in open-field crop systems. In that case, water/N availability in the root zone could be short compared to crop requirements and production could fall below potential levels. To avoid the caveats of requirement-based systems, this study presents a system that uses the water and N available in the root zone as control variables to design irrigation/fertilization schedules. The DSS uses a modified version of the VegSyst crop model that explicitly simulates the dynamics of water/N in the soil profile and crop growth under water/N stress. The modified VegSyst model was calibrated and validated against observations collected during a series of field trial experiments conducted in Granada, Spain. The agreement indexes in these exercises were, in general, above commonly accepted limits in environmental modeling. On average, availability-based DSS could reduce water/N use by 18% and 15%, respectively, compared to requirement-based DSS. Global efficiency indexes for fertilization/irrigation strategies designed using availability-based DSS were 20 points higher than those designed using requirement-based DSS.

Suggested Citation

  • Huertas-Fernández, F. & Suárez-Rey, E.M. & Ramón, C.L. & Giménez, C. & Rueda, F.J., 2025. "The value of simulating the soil water and nitrogen dynamics in decision support systems for plot-scale agro-environmental management," Agricultural Water Management, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:agiwat:v:309:y:2025:i:c:s0378377425000241
    DOI: 10.1016/j.agwat.2025.109310
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    1. Gardenas, A.I. & Hopmans, J.W. & Hanson, B.R. & Simunek, J., 2005. "Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation," Agricultural Water Management, Elsevier, vol. 74(3), pages 219-242, June.
    2. Ran, Junjun & Ran, Hui & Ma, Longfei & Jennings, Stewart A. & Yu, Tinggao & Deng, Xin & Yao, Ning & Hu, Xiaotao, 2023. "Quantifying water productivity and nitrogen uptake of maize under water and nitrogen stress in arid Northwest China," Agricultural Water Management, Elsevier, vol. 285(C).
    3. Ara, Iffat & Turner, Lydia & Harrison, Matthew Tom & Monjardino, Marta & deVoil, Peter & Rodriguez, Daniel, 2021. "Application, adoption and opportunities for improving decision support systems in irrigated agriculture: A review," Agricultural Water Management, Elsevier, vol. 257(C).
    4. Pereira, Luis S. & Cordery, Ian & Iacovides, Iacovos, 2012. "Improved indicators of water use performance and productivity for sustainable water conservation and saving," Agricultural Water Management, Elsevier, vol. 108(C), pages 39-51.
    5. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    6. Xu, Xiangying & Wang, Chao & Wang, Hongjiang & Zhang, Yonglong & Cao, Zhuangzhuang & Zhang, Zhiping & Dai, Haibo & Miao, Minmin, 2023. "Development and performance evaluation of an APP for vegetable fertilization and irrigation management originated from EU-Rotate_N," Agricultural Water Management, Elsevier, vol. 289(C).
    7. Löw, Philipp & Osterburg, Bernhard, 2024. "Evaluation of nitrogen balances and nitrogen use efficiencies on farm level of the German agricultural sector," Agricultural Systems, Elsevier, vol. 213(C).
    8. Stockle, Claudio O. & Martin, Steve A. & Campbell, Gaylon S., 1994. "CropSyst, a cropping systems simulation model: Water/nitrogen budgets and crop yield," Agricultural Systems, Elsevier, vol. 46(3), pages 335-359.
    9. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    10. Bonachela, Santiago & Fernández, María Dolores & Cabrera, Francisco Javier & Granados, María Rosa, 2018. "Soil spatio-temporal distribution of water, salts and nutrients in greenhouse, drip-irrigated tomato crops using lysimetry and dielectric methods," Agricultural Water Management, Elsevier, vol. 203(C), pages 151-161.
    11. 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.
    12. Doltra, J. & Muñoz, P., 2010. "Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models," Agricultural Water Management, Elsevier, vol. 97(2), pages 277-285, February.
    13. Xin Zhang & Eric A. Davidson & Denise L. Mauzerall & Timothy D. Searchinger & Patrice Dumas & Ye Shen, 2015. "Managing nitrogen for sustainable development," Nature, Nature, vol. 528(7580), pages 51-59, December.
    14. Bonfante, A. & Monaco, E. & Manna, P. & De Mascellis, R. & Basile, A. & Buonanno, M. & Cantilena, G. & Esposito, A. & Tedeschi, A. & De Michele, C. & Belfiore, O. & Catapano, I. & Ludeno, G. & Salinas, 2019. "LCIS DSS—An irrigation supporting system for water use efficiency improvement in precision agriculture: A maize case study," Agricultural Systems, Elsevier, vol. 176(C).
    15. Li, Hongjun & Li, Jiazhen & Shen, Yanjun & Zhang, Xiying & Lei, Yuping, 2018. "Web-based irrigation decision support system with limited inputs for farmers," Agricultural Water Management, Elsevier, vol. 210(C), pages 279-285.
    16. Giménez, C. & Thompson, R.B. & Prieto, M.H. & Suárez-Rey, E. & Padilla, F.M. & Gallardo, M., 2019. "Adaptation of the VegSyst model to outdoor conditions for leafy vegetables and processing tomato," Agricultural Systems, Elsevier, vol. 171(C), pages 51-64.
    17. Cahn, Michael & Smith, Richard & Melton, Forrest, 2023. "Field evaluations of the CropManage decision support tool for improving irrigation and nutrient use of cool season vegetables in California," Agricultural Water Management, Elsevier, vol. 287(C).
    18. Phogat, V. & Šimůnek, J. & Skewes, M.A. & Cox, J.W. & McCarthy, M.G., 2016. "Improving the estimation of evaporation by the FAO-56 dual crop coefficient approach under subsurface drip irrigation," Agricultural Water Management, Elsevier, vol. 178(C), pages 189-200.
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