Browsing by Author "Shayo, August Joachim"

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Development of a procedure for determination of sub-models for crop and land management factors for soil loss prediction under Morogoro conditions
(Sokoine University of Agriculture, 1997) Shayo, August Joachim
Sub-models crop, Land management, Soil loss prediction, Morogoro one of the most useful means of ameliorating land degradation through sediment losses is by application of soil prediction models. These associates all sources of information including soil physical characteristic data, long term weather data as well as crop management data into a prescribed categorization effective in conservation. Weather and significantly soil physical characteristic data regional-wise, accumulation on regional basis specific models. The purpose varies this necessitates their so as to develop regional of this study was to develop a procedure for determining crop and land management factor(s) sub-models for soil loss prediction under Morogoro condition. A pascal program was employed in determination of the procedure. The procedure involved calculation of the C (Cover and Management factor) and P (Support practice factor) and then compared the obtained results with desired management factors set for the specified location. Weather data, soil data and crop canopy (%) were considered in determination of effective parameters for soil loss prediction. There between soil loss was a and rainfall intensity, good correlation rainfall amount, canopy cover, all rainfall organic carbon content as well as runoff for events and coefficient ranged from treatments. 0.50 the correlation to 0.99. The correlation coefficient for average runoff and sediment loss was found to be 0.86, 0.95 and 0.99 for cropped, bare plots respectively. The overall coefficient of natural vegetated and correlation for runoff and sediment losses at different storms ranged from 0.83 to 0.98. The correlation coefficient intensity was found to be for soil loss and rainfall 0.64, 0.50 and 0.60 for cropped, natural vegetated and bare plots respectively. It was further revealed that rainfall intensity, rainfall amount, canopy cover, soil organic carbon as well as runoff variables correlated better concluded that with soil losses. The later the parameters mark effects in determining crop and land management factor(s) sub-models. Determination of the relationship existing between soil loss and runoff variables indicated a linear relationship.