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Published online 27 October 2006
Published in J Environ Qual 35:2113-2122 (2006)
DOI: 10.2134/jeq2006.0091
© 2006 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Nitrogen Removal in Valley Bottom Wetlands

Assessment in Headwater Catchments Distributed throughout a Large Basin

Olivier Montreuil and Philippe Merot*

INRA-Agrocampus Rennes, UMR Sol-Agronomie-Spatialisation, 65 rue de Saint-Brieuc, CS 84215, 35042 Rennes Cedex, France


Figure 1
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  		Fig. 1. Geographic location of the Scorff basin within the Brittany region and delimitation of the 18 selected catchments (S1 to S18).

 

Figure 2
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  		Fig. 2. Potential wetlands mapped from a topographic index.

 

Figure 3
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  		Fig. 3. Existing wetlands derived from potential wetlands using land-use data.

 

Figure 4
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  		Fig. 4. Box plot of average NO3–N concentrations sampled every 10 d from January through May 2005 for each subcatchment and during baseflow (the boundary of the box closest to zero indicates the 25th percentile, a line within the box marks the median, the boundary of the box farthest from zero indicates the 75th percentile, whiskers above and below the box indicate the 90th and 10th percentiles, and other points are outlying points).

 

Figure 5
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  		Fig. 5. Variation of the average chloride concentration between January and May 2005 as a function of specific flow and average catchment elevation.

 

Figure 6
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  		Fig. 6. The NO3–N concentration corrected for rainfall impact, plotted as a function of agricultural characteristics: (a) relative agricultural area; (b) total nitrogen input, and (c) nitrogen surplus (the solid line, dashed line, and dotted line represent, respectively, the fitted regression line, the confidence interval (95%), and the prediction interval (95%)).

 

Figure 7
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  		Fig. 7. The NO3–N concentration corrected for agriculture and rainfall impact, plotted as a function of existing wetlands area. The solid line, dashed line, and dotted line represent, respectively, the fitted regression line, the confidence interval (95%), and the prediction interval (95%).

 




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