Project Abstract

Characterization and evaluation of four toposequences Abstract
Toposequences represent a valuable tool for understanding landscape variability and its implications for soil properties and ecosystem functions. In this study, we conducted a detailed characterization and evaluation of four toposequences in a forested area to assess the impact of landscape position on soil characteristics. The selected toposequences represented different positions within the landscape, including summit, shoulder, backslope, and footslope. Soil samples were collected at different depths along each toposequence to analyze various soil properties, including pH, organic matter content, nutrient levels, and texture. The results revealed significant differences in soil properties among the different landscape positions. Generally, soils from the summit and shoulder positions had lower pH values and organic matter content compared to the backslope and footslope soils. Nutrient levels also varied significantly, with higher concentrations of nitrogen, phosphorus, and potassium found in the footslope soils. In terms of soil texture, the summit soils were predominantly sandy, while the footslope soils contained higher proportions of silt and clay. These differences in soil properties among the toposequences can be attributed to variations in factors such as water movement, erosion, and organic matter accumulation along the landscape gradient. To evaluate the implications of these soil variations, we conducted plant growth experiments using common forest species. The results showed that tree growth and biomass production were significantly higher in the footslope soils compared to the summit and shoulder soils. This suggests that the differences in soil properties along the toposequences can have important implications for ecosystem productivity and species distribution. Overall, this study highlights the importance of considering landscape position in soil management and ecosystem conservation efforts. By understanding the relationships between landscape position, soil properties, and ecosystem functions, land managers can make more informed decisions regarding land use planning, reforestation efforts, and sustainable resource management. Further research is needed to explore the long-term effects of toposequence variations on ecosystem dynamics and to develop targeted management strategies for different landscape positions.

Project 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.