This paper investigates the predictability of the soil erodibility factor (K) in the revised universal soil loss equation from soil clay content (C), the Naperian logarithm of the geometric mean particle size (DG) and organic matter content (OM), using a global dataset compiled from published studies. A multiple regression equation accounted for only 41% of the observed variance. Because of the large unexplained variance, an alternative procedure was explored to describe theK data in terms of the lower and upper bounds of the range of variation and the most probable value in this range. However, this approach did not provide sufficient information about the distribution of the observedK values. A procedure based on fuzzy logic and fuzzy mathematical theories was then developed, using the program FUZKBAS, which describes the frequency distribution of observedK values for a given soil, characterised byDG,C and OM, in terms of membership functions.
Journal articles from the Grassland Society of Southern Africa (GSSA) African Journal of Range and Forage Science as well as related articles and reports from throughout the southern African region.