The STICS model to predict nitrate leaching following agricultural pratices.

The aim of this paper was to develop an upscaling approach for the soil-crop model STICS in order to predict the impact of agricultural practices on nitrate leaching on both plot and regional scales. A case study was carried out on a "Nitrate Vulnerable Zone" located in central France. The performance of the spatial approach was evaluated by accounting for all the spatial and temporal variability existing within the studied area. The results indicate that N leaching and nitrate concentration in drainage water were slightly underestimated; by 3 kg N·ha-1 (16%) and 8 mg NO3-·L-1 (11%), respectively. The STICS scaling approach was used to assess the effectiveness of "Good Agricultural Practice" established within the area over a seven-year period. The simulation results provided evidence that such a practice had reduced the nitrate concentration by about 30% (36 mg NO3-·L-1). However, the rate of nitrate leaching remains too large and further improvements to agricultural practices are required.

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Additional Info

Field Value
Source ISSN: 0249-5627
Author Schnebelen, Nathalie, Nicoullaud, Bernard, Bourennane, Hocine, Couturier, Alain, Verbeque, Bernard, Revalier, Christian, Bruand, Ary, Ledoux, Emmanuel
Maintainer CCSD
Last Updated May 25, 2026, 20:47 (UTC)
Created May 25, 2026, 20:47 (UTC)
Identifier hal-00023861
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor InfoSol (InfoSol) ; Institut National de la Recherche Agronomique (INRA)
creator Schnebelen, Nathalie
date 2004-05-25T00:00:00
harvest_object_id f648fb23-42f7-4573-8a52-446817e57132
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-02-20T00:00:00
relation info:eu-repo/semantics/altIdentifier/doi/10.1051/agro:2004039
set_spec type:ART