Thesis Abstract

Characterization and evaluation of four toposequences was conducted to assess the soil variability and its implications on land management practices. The study focused on four distinct toposequences within a specific geographic area to understand how soil properties differ along the landscape gradient. Various soil parameters such as organic matter content, pH, texture, and nutrient levels were analyzed at different depths to capture the vertical variability within each toposequence. Results indicated significant variations in soil properties among the toposequences. The upper positions of the landscape exhibited higher organic matter content and nutrient levels compared to lower positions. This was attributed to the accumulation of organic residues and nutrients washed down from upslope areas. In contrast, the lower positions showed lower organic matter content but had higher clay content, indicating sediment deposition and erosion processes. pH levels also varied along the toposequences, with upper positions tending to be more acidic compared to lower positions. These differences in pH can influence nutrient availability and plant growth, highlighting the importance of understanding soil variability for effective land management. Additionally, the soil texture varied significantly, with sandy loam dominating the upper positions and increasing clay content in the lower positions. This variation in soil texture can impact water infiltration, drainage, and nutrient retention capacities of the soil. Overall, the toposequences exhibited distinct soil characteristics that can have implications for land use planning and sustainable agriculture practices. Understanding the spatial variability of soil properties within a landscape gradient is essential for making informed decisions regarding crop selection, fertilizer application, and erosion control measures. By characterizing and evaluating toposequences, land managers and farmers can tailor management practices to optimize soil productivity and minimize environmental impacts. In conclusion, this study highlights the importance of characterizing and evaluating toposequences to assess soil variability and its implications on land management. The findings underscore the need for site-specific management practices that account for the spatial heterogeneity of soil properties within a landscape. Future research could focus on exploring the long-term effects of different land management practices on soil quality and productivity along toposequences to enhance sustainable land use strategies.

Thesis Overview

INTRODUCTION

            Characterization of soil provides a useful means for understanding soil distribution and variability. The modern soil survey is a fundamental basis for land use planning because it contains both qualitative and quantitative data which enable predictions of many kinds to be made. It aids in correlating and predicting the adaptability of   various crops, grasses, and trees, to soils and their behaviour and productivity under different management. Field studies that depict the variability and distribution of soil are panacea for total utilization of a given tract of land. Such understanding enables useful prediction to be made wherever such soils occur making it possible for soils of different parts of the world occurring under similar and different climatic condition to be compared (Buol et al 1980). Soil characterization goes beyond soil testing, it is an integration of both physical and chemical nature of soil. It analysis the inherent characteristics and properties of a given soil with the aim of characterizing them into similar soil units and capability land use units.

Soil suitability evaluation involves characterizing the soil in a given area for specific land use type. The information collected in soil survey helps in the development of land-use plans and to evaluate and predict the effects of the land use on the environment. The suitability of a given piece of land is its natural ability to support a specific land use type. Suitability may be a major kind of land use, such as rain fed agriculture, livestock production, forestry, etc.

As these qualities derived from the land characteristics, such as slope angle and length, and soil texture which are measurable or estimable, it is advantageous to use these latter values to study the suitability. For assessing the suitability of soils for crop production, soil requirements of crops must be known. Also, these requirements must be understood within the context of limitations imposed by land form and other features which do not form a part of the soil but may have a significant influence on use that can be made of the soil (FAO,1976).

Soil classification on the other hand helps to organize our knowledge and facilitate the transfer of experience and technology from one place to another and to compare soil properties. It provides a link between soil characterization and soil survey. According to Lark and Wheeler (2000), variation in soil properties has long been known and had been the subject of much research. It was in recognition of this that Sir Ronald-fisher, and then at Rothamsted, developed a formidable array of statistical methods.

Accordingly, horizons may differ in organic matter content, structure, texture, pH, base saturation, cation exchange capacity as well as many other soil physicals and chemical properties. According to Mullar and Mc Bratney (2001), variability in soil properties at the series level is often caused by small changes in topography that affect the transport and storage of water across and within the soil profile. Hunter et al (1982) and Yost et al (1982) reported that soil-forming factors affect different properties differently at different depths. Variability of soil pH, for e.g. increases with depth (Ogunkunle and Ataga, 1985). Ogunkunle (1993) working on Alfisols of southwestern Nigeria, observed that soil pH was the least variable (low variability) property, irrespective of depth. The variability of properties like organic matter, available phosphorus, total nitrogen and CEC, increases with depth. Properties, such as soil pH and porosity are among the least variable, while those pertaining to water or solute transport are among the most variable. Percentage sand ranges from low to moderate variability. Organic matter and % clay range from moderate to high variability. Available phosphorus and potassium were observed to be highly variable (Jury, 1986 et al, Beven et al, 1993, Wollenhaupt et al, 1997). In general the more variable these properties, the more variable the crop growth and yield. Thus, understanding soil variability is essential in applying location specific (precision-agriculture) management strategies. Therefore, the general objective of this study was to assess the degree of variability of some soil physical and chemical properties along four toposequence  for assessing their agricultural potentials.

The specific objectives were to: (i) characterize and classify the soils of  four toposequences. (ii) assess the effects of slope characteristics on physico-chemical properties.

(iii) evaluate the agricultural potentials of the four toposequences.