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Agricultural water nonpoint pollution control under uncertainty and climate variability

  • Lacroix, Anne
  • Beaudoin, Nicolas
  • Makowski, David

L'objectif de l'article est l'analyse probabiliste du rapport coût-efficacité des pratiques agricoles encouragées par l'Union européenne pour réduire la pollution nitrique. La méthode utilisée consiste à évaluer, via une modélisation intégrée, les impacts environnementaux et économiques de différents scénarios de pratiques. Ce modèle prend en compte l'incertitude de rendement et la variabilité climatique, en vue de déterminer un scénario optimal (forte probabilité d'atteindre la norme de 50 mg/l au moindre coût). Le rapport coût-efficacité est calculé pour un bassin versant du Nord-Est de la France, pour différentes années climatiques et sous différentes hypothèses décrivant le contexte économique. Les résultats montrent que la mise en oeuvre des pratiques recommandées par l'UE ne permet pas de satisfaire rapidement la norme européenne de concentration en nitrates. Par contre, à long terme, certaines de ces pratiques permettraient une réduction significative de la pollution. Dans le cas étudié, le scénario optimal, quel que soit le contexte économique envisagé, consiste à combiner une fertilisation raisonnée et l'introduction de cultures intermédiaires pièges à nitrates. Les résultats obtenus soulignent notamment l'importante efficacité des cultures intermédiaires qui, en réduisant fortement la variabilité de la concentration de l'eau drainée, réduisent le risque de dépasser la norme environnementale. Plus largement, ils débouchent sur des recommandations afin de mieux concevoir la politique agro-environnementale.

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Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 53 (2005)
Issue (Month): 1 (April)
Pages: 115-127

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Handle: RePEc:eee:ecolec:v:53:y:2005:i:1:p:115-127
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolecon

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  1. McSweeny, William T. & Shortle, James S., 1990. "Probabilistic Cost Effectiveness In Agricultural Nonpoint Pollution Control," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(01), July.
  2. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), April.
  3. Jia Hua Pan & Ian Hodge, 1994. "Land Use Permits As An Alternative To Fertiliser And Leaching Taxes For The Control Of Nitrate Pollution," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 102-112.
  4. Vatn, Arild & Bakken, Lars & Botterweg, Peter & Romstad, Eirik, 1999. "ECECMOD: an interdisciplinary modelling system for analyzing nutrient and soil losses from agriculture," Ecological Economics, Elsevier, vol. 30(2), pages 189-206, August.
  5. Ribaudo, Marc O. & Heimlich, Ralph & Claassen, Roger & Peters, Mark, 2001. "Least-cost management of nonpoint source pollution: source reduction versus interception strategies for controlling nitrogen loss in the Mississippi Basin," Ecological Economics, Elsevier, vol. 37(2), pages 183-197, May.
  6. Marc O. Ribaudo & C. Tim Osborn & Kazim Konyar, 1994. "Land Retirement as a Tool for Reducing Agricultural Nonpoint Source Pollution," Land Economics, University of Wisconsin Press, vol. 70(1), pages 77-87.
  7. Kampas, Athanasios & White, Ben, 2003. "Probabilistic programming for nitrate pollution control: Comparing different probabilistic constraint approximations," European Journal of Operational Research, Elsevier, vol. 147(1), pages 217-228, May.
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