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Published in Soil Sci Soc Am J 56:1571-1576 (1992)
© 1992 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Slope and Gypsum Effects on Infiltration and Erodibility of Dispersive and Nondispersive Soils

M. Ben-Hur* and I. Shainberg

Agricultural Research Organization, Volcani Center, P.O. B. 6, Bet Dagan, Israel 50250

R. Stern and A. J. van der Merwe

Soil and Irrigation Research Institute, Private Bag X79, Pretoria, South Africa

* Corresponding author.

ABSTRACT

Water quality and soil chemical properties affect aggregates' stability, seal formation, and infiltration rate (IR). The effect of these factors on soil erosion was the subject of this study. Six different soils were used. The IR and soil losses were measured using a rainfall simulator and soil trays 0.3 by 0.5 m in size. The soils were divided into groups: those that were dispersive and susceptible to seal formation, and those that were nondispersive and maintained high IR. The dispersive soils were more erodible than the nondispersive soils. Spreading 5 Mg ha–1 phosphogypsum (PG) on the soil surface decreased the soil loss sharply from the dispersive soils and moderately from the nondispersive soils. The slope-factor values (the ratio of soil loss per unit area at any slope to soil loss at a standard 9% slope) of the nondispersive soil could be predicted by the Water Erosion Prediction Project (WEPP) model. However, for the dispersive, untreated soils, the equation S = exp(–0.58 + 6.67 sin{theta}), where {theta} is the slope angle in degrees, defines the slope factor better than the WEPP model. The interrill erodibility constant (Ki) values (computed by WEPP) of the dispersive soils were not significantly different from one another, despite the differences in their texture and organic matter content. Additionally, the Ki values of the dispersive soils were generally higher than the Ki values of the nondispersive soils and, for both soil groups, the Ki values for the control treatment were higher than for the PG treatment. The relationship between the Ki and the final IR was described significantly by the equation Ki = 3.31 (final IR)-0.8.


NOTES

Research supported by the U.S.-Israel Binational Agricultural Research and Development Fund.

Received for publication January 28, 1991.


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