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Reduction of stream nitrate concentrations by land management in contrasted landscapes

  • Casal, Laurène1
  • Durand, Patrick1
  • Akkal-Corfini, Nouraya1
  • Benhamou, Cyril2
  • Laurent, François3
  • Salmon-Monviola, Jordy1
  • Ferrant, Sylvain4
  • Probst, Anne5
  • Probst, Jean-Luc5
  • Vertès, Françoise1
  • 1 AGROCAMPUS OUEST, SAS, INRA, Rennes, 35000, France , Rennes (France)
  • 2 AgroParisTech, ECOSYS, INRA, Thiverval-Grignon, 78850, France , Thiverval-Grignon (France)
  • 3 Arvalis institut du végétal, Boigneville, 91720, France , Boigneville (France)
  • 4 Université de Toulouse, IRD, CNRS, CNES, UPS, INRA, CESBIO, Toulouse, France , Toulouse (France)
  • 5 Université de Toulouse, EcoLab, CNRS, Toulouse, France , Toulouse (France)
Published Article
Nutrient Cycling in Agroecosystems
Springer Netherlands
Publication Date
Mar 26, 2019
DOI: 10.1007/s10705-019-09985-0
Springer Nature


Optimizing management practices at the plot scale is sometimes not sufficient to reach water framework directive objectives for nitrate pollution. Land management measures involving targeted setting aside of croplands is a promising solution, but its efficiency depends on the local context. We used a distributed agro-hydrological model to compare management interventions intended to decrease vertical and lateral nitrate leaching from soil to groundwater and stream water in two contrasted agricultural catchments. The simulated scenarios combined two strategies: optimization of agricultural practices and land-use conversion from agricultural to natural land at different locations within the catchments. Long-term climate, discharge, and nitrate concentrations have been monitored for the two catchments and agricultural practices are well known over the 13-year simulation period (2002–2015). The Kervidy-Naizin site (KN) is subject to intense livestock pressure with mean nitrogen inputs of 257 kg ha−1 year−1, while the Auradé site (AU) is primarily cereal cultivation with nitrogen inputs of 109 kg ha−1 year−1. The results highlight a large nitrogen legacy in KN, resulting in a progressive and long lived (> 10 years) response to changes in management, while in AU, this response is perceptible after only 5–7 years. For both catchments, the most effective scenario involves wide riparian buffer strips in interception position covering about 15% of the catchment area. In KN, this land conversion scenario, simulated with the agro-hydrological model TNT2, created a decrease of nitrate concentration in stream water by 25% versus 15% in AU. Contrastingly, the implementation of best management practices decreased stream nitrate concentration only by 9% for KN and 4% for AU.

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