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Aggregate-Mean Diameter and Wind-Erodible Soil Predictions Using Dry Aggregate-Size Distributions

T. M. Zobeck*,a, T. W. Pophamb, E. L. Skidmorec, J. A. Lambd, S. D. Merrille, M. J. Lindstromf, D. L. Mokmag and R. E. Yoderh

a Wind Erosion and Water Conservation Research Unit, Cropping Systems Research Lab., USDA-Agricultural Research Service, 3810 4th Street, Lubbock, TX 79415
b USDA-ARS, Stillwater, OK
c USDA-ARS, Manhattan, KS
d Univ. of Minnesota, St. Paul
e USDA-ARS, Mandan, ND
f USDA-ARS, Morris, MN
g Michigan State Univ., E. Lansing
h Univ. of Tennessee, Knoxville



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  		Fig. 1. Representative log-normal, Weibull, and fractal soil aggregate-size distributions from an Acuff (fine-loamy, mixed, superactive, thermic Aridic Paleustolls) fine sandy loam.

 


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  		Fig. 2. Percentage of erodible soil by site number. Error bars represent standard errors.

 


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  		Fig. 3. Difference in observed- and estimated-aggregate size (error) by sieve size for all data combined.

 


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  		Fig. 4. Frequency of errors in predicting observed values by sieve size class using fractal, log-normal, and Weibull distributions.

 


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  		Fig. 5. Effect of varying smallest sieve size on regressions used to determine log-normal oversize distributions.

 




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