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Modeling Translocation and Dispersion of Soil Constituents by Tillage on Sloping Land

K. Van Oosta, G. Goversa, W. Van Muysena and T.A. Quineb

a Laboratory for Experimental Geomorphology, K.U. Leuven, Redingenstraat 16, B-3000 Leuven, Belgium
b Dep. of Geography, University of Exeter, Amory Building, Rennes Drive, Exeter EX4 4RJ, UK



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Fig. 1 Topographic map of the experimental site with the location of 12 strips

 


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Fig. 2 Boxplot of displacement distances for each strip. The box indicates the 25th and 75th percentile; the whiskers indicate the 10th and 90th percentile. The median is drawn in a full line and the mean in a dotted line

 


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Fig. 3 Mean displacement () per tillage operation vs. slope gradient (G). . The relation between standard deviation (S) and mean is given by a functional relationship assuming proportional errors. The corresponding line is the reduced major axis. , r2 = 0.78***

 


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Fig. 4 Probability distributions of displacement distances for two different slope gradients

 


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Fig. 5 Comparison of predicted concentrations using an analytical diffusion equation, a convolution model, or MST-model (grid resolution 0.5, 1, or 2 m). Ten tillage operations are simulated in opposing directions (i.e., five each way) on a labeled plot 2 m wide (dashed line). Parameter values are based on equations in Fig. 3 for a zero slope

 


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Fig. 6 Dispersion and translocation of a labeled plot 0.4 m wide (A) on a flat surface and (B) on a slope of 0.22 m m-1 after n tillage passes in opposing directions (dotted line) or in one direction (solid line)

 


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Fig. 7 Measured sand content of plow layer (squares) and sub-plow layer (triangles) on the Huldenberg field. The measured sand content is compared with three model predictions where only water (diamonds), only tillage (exes), and water and tillage (circles) processes are taken into account

 





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