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Paysages virtuels et analyse de scénarios pour évaluer les impacts ...

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Conclusion<br />

The study <strong>de</strong>velops innovative approaches and results for the multi-resource and multi-criteria assessment of<br />

environmental <strong>impacts</strong> of agricultural practices. We presented a m<strong>et</strong>hodology to <strong>de</strong>rive agricultural virtual<br />

landscapes from observed data and processes by framing the range of variation of the original landscape<br />

features. By comparing the intensive and the mo<strong>de</strong>rate cropping systems, we showed that the change of<br />

practices done by the farmers b<strong>et</strong>ween the 1995-1997 and 2001-2003 period did improve the soil P budg<strong>et</strong>s<br />

and stream N concentration, but not enough to pass below the EU regulation level of 11.3 mg N.l -1 . However,<br />

N concentrations (stream and groundwater) were <strong>les</strong>s sensitive to practice change than climate change (mean<br />

annual rainfalls differing by 0.2 m). Similarly, an extension of the waterlogged soil class in bottom w<strong>et</strong>land<br />

valley reduced the N stream concentration more significantly than agricultural practices. Moreover,<br />

interaction b<strong>et</strong>ween soils and climate may reduce the effect of BMP with a w<strong>et</strong>ter climate occurring on<br />

waterlogged soils.<br />

The study showed that although agricultural or hydrological indicators may serve their evaluation purposes<br />

individually, un<strong>de</strong>rstanding the fate of diffuse elements like nitrogen requires their combination since<br />

transfer and transformation processes are interrelated. Hydrological fluxes of C and P were neglected in this<br />

study although there are strong evi<strong>de</strong>nces that they also impact water quality. Phosphorus and dissolved<br />

organic carbon mo<strong>de</strong>ls are being <strong>de</strong>veloped and similar multi-factorial experiments based on virtual<br />

landscapes may provi<strong>de</strong> a benchmark for hypothesis test. More generally, multi-factorial virtual landscapes<br />

may be used to perform sensitivity <strong>analyse</strong>s for all kinds of spatially distributed mo<strong>de</strong>ls.<br />

Acknowledgments<br />

The PhD of the first author was fun<strong>de</strong>d by the Région Br<strong>et</strong>agne and INRA. We are grateful to Safya<br />

Menasseri, Fabien Ferchaud, Jordy Salmon-Monviola, and Laurence Lebouille (Chambre d’Agriculture du<br />

Morbihan) for stimulating discussions and their insights on the agronomic data of Kervidy and Frémeur<br />

catchments.<br />

IV. Évaluation environnementale multi-critères <strong>et</strong> multi-ressources – p. 133

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