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An integrated modelling framework to estimate the fate of nutrients: Application to the Loire (France)

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  • Bouraoui, Fayçal
  • Grizzetti, Bruna

Abstract

Many European countries face high nutrient loadings and the scientific community is asked to provide tools and methodologies to quantify the pressure on the environment originating from agriculture. This paper presents a tiered approach for addressing nutrient fate at various scales that makes best use of readily available data at EU level. A statistical nitrogen source apportionment model is applied in the Loire and Vilaine river basins to identify areas with highest losses. The physically based model SWAT is then used to identify within those areas, the major processes and pathways controlling nutrient losses. It is shown that groundwater is the major contributor to total nitrate load in the streams. Finally, the farm-scale model EPIC is used to elaborate appropriate farming practices. It is predicted that using a winter catch crop will reduce significantly nitrate leaching without endangering the farm economic sustainability.

Suggested Citation

  • Bouraoui, Fayçal & Grizzetti, Bruna, 2008. "An integrated modelling framework to estimate the fate of nutrients: Application to the Loire (France)," Ecological Modelling, Elsevier, vol. 212(3), pages 450-459.
    • Handle: RePEc:eee:ecomod:v:212:y:2008:i:3:p:450-459
    DOI: 10.1016/j.ecolmodel.2007.10.037
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    Citations

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    Cited by:

    1. Azar Sheikhzeinoddin & Abdoulkarim Esmaeili, 2017. "Ecological and economic impacts of different irrigation and fertilization practices: case study of a watershed in the southern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2499-2515, December.
    2. Ferrant, Sylvain & Durand, Patrick & Justes, Eric & Probst, Jean-Luc & Sanchez-Perez, José-Miguel, 2013. "Simulating the long term impact of nitrate mitigation scenarios in a pilot study basin," Agricultural Water Management, Elsevier, vol. 124(C), pages 85-96.
    3. Panagopoulos, Y. & Makropoulos, C. & Baltas, E. & Mimikou, M., 2011. "SWAT parameterization for the identification of critical diffuse pollution source areas under data limitations," Ecological Modelling, Elsevier, vol. 222(19), pages 3500-3512.
    4. Hans Thodsen & Csilla Farkas & Jaroslaw Chormanski & Dennis Trolle & Gitte Blicher-Mathiesen & Ruth Grant & Alexander Engebretsen & Ignacy Kardel & Hans Estrup Andersen, 2017. "Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea," Agriculture, MDPI, vol. 7(5), pages 1-17, May.
    5. Amit Kumar Basukala & Livia Rasche, 2022. "Model-Based Yield Gap Assessment in Nepal’s Diverse Agricultural Landscape," Land, MDPI, vol. 11(8), pages 1-25, August.
    6. Hesse, Cornelia & Krysanova, Valentina & Päzolt, Jens & Hattermann, Fred F., 2008. "Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality," Ecological Modelling, Elsevier, vol. 218(1), pages 135-148.

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