The protected areas of Rwanda are facing various challenges resulting from the anthropogenic activities of the surrounding communities, especially in the adjacent area to Cyamudongo isolated rain forest, which results in soil degradation. Therefore, this study aims to broaden current knowledge on the impact of sustainable Agroforestry (AF) on soil-selected chemical and physical properties. To understand this, the permanent sample plots (PSPs) were established mainly in the designed four transects of four km long originating on the boundary of the Cyamudongo isolated rain forest following the slope gradient ranging from 1286 to 2015 m asl. A total number of 73 PSPs were established in the Cyamudongo study area. The Arc Map GIS 10.4 was used to design and map the sampling areas while GPS was used for localization of plots centers. Statistical significance was analyzed through R-software. The recorded soil pH means value across in Cyamudongo study area is 4.2, which is strongly acidic. The tests revealed that the soil pH, C, N, C: N ratio, OM, NH4+, NO3-+NO2-, PO43-, and CEC were significantly different in various soil depths. The pH, N, C: N ratio, CEC, NH4+, PO43-, and Al3+ showed a significant difference across land uses whereas the C and NO3-+NO2- did not show any statistical difference. All tested chemical elements showed a statistical difference as far as altitude ranges are concerned. The only NH4+, PO43-, and CEC showed significant differences with time whereas all other remaining chemical elements did not show any statistical significance. The soil pH was very strongly correlated with CEC, Mg, and Ca in cropland (CL) whereas it was strongly correlated in both AF and natural forest (NF) except for Mg, which was moderately correlated in AF. Furthermore, its correlation with K was strong in CL, and moderate in AF while it was weak in NF. Finally, the pH correlation with Na was weak in both AF and CL whereas it was negligible in NF.

Tokat is one of the developing provinces in terms of urbanism. Therefore, the land use changes city-wide which closely affects soil erosion. Numerical estimation of soil erosion is very important to prevent soil losses. In this study, USLE and WEPP Hillslope model were used to estimate the long-term soil losses in a slope area which used to be a pasture land and then turned into a fruit orchard in Büyükbeybağı area of Tokat province. Erosion sensitivity of the soil in the slope area was detected to be very low. Erosivity value of the area is low, soil is resistant to erosion due to pasture land use type and fruit orchard use type does not require intense soil cultivation practices. For all these reasons, both estimation technologies estimated soil losses of the land to be low.

Investigating the nutrient composition in soil textural constituent as influenced by land use is a necessity towards a good soil conservative and management measure. In view of this, a laboratory experiment was conducted; soil samples were collected from different locations within and outside the Federal University of Technology, Akure and analyzed for basic chemical elements. The soil sampling was based on land use and six different soil samples were collected at a depth of 0-15cm. These samples included bare soil (BS), waterlogged soil (WS), maize cultivated soil (MS), cassava cultivated soil (CS), cassava-maize intercrop (CM), and mixed cropping of cassava, maize and cowpea (MC). The waterlogged soil was cultivated to rice while the bare soil was not cultivated. The soil samples were air-dried and crushed after which fractionation was carried out using a three-layer sieve to separate the soil particles into different size of 2mm to 0.5mm (Sand), 0.5mm-0.05mm (Silt) and

Analysing the factors driving the population size and activities of soil microorganisms is important for understanding the soil ecosystem’s structure and functioning. For this purpose, the soil enzymes are used as an indicator of soil microbial activity and soil fertility. Although there are many studies on the distribution and activities of various soil enzymes in soils under monoculture or crop alternation conditions, there are only few studies examining the ecological relationship in natural ecosystems, especially by using enzymes. In this study, it was aimed to determine the effect of different land uses on the catalase enzyme activity in soil. For this purpose, the catalase enzyme activities in soil samples taken from 0-5cm and 5-10cm depths in agricultural, forest, and pasture lands in north and south exposures were determined and the effects of different land use, exposure, and soil depth conditions on the enzyme activities were investigated. At the end of the study, it was determined that the catalase enzyme activity significantly differed by the land use and the highest level of catalase enzyme activity in both south and north exposures and at both depth levels was found in forest soils, whereas the lowest level of activity was found in agricultural lands in north exposure and pasture soils in south exposure.

Land use could impact soil properties and processes in varying degrees. Therefore, the impact of different land use systems on soil water status and its relationship with some physiochemical properties was studied at the Teaching and Research Farm, Ekiti State University, Ado Ekiti, Nigeria. The land use types included native forest (NF); Paddock (P); Oil palm plantation (OP); Teak (TK); new yam plot (NY) and yam plot under fallow (YF). Structure and disturbed surface soils (0 - 15 cm) samples were taken at three (3) locations in each land use type. Soil water content (SWC) significantly varied among the different land use types, with oil palm plantation storing the highest amount of water. The results also showed significant differences in soil bulk density, organic carbon, porosity, texture and hydraulic conductivity among the land use types. SWC associated positively and significantly with organic matter, silt content and silt + clay. The association between SWC and pH and silt/clay were positive but weak while particle density, bulk density and sand content showed negative and significant association. The principal component regression (PCR) showed a highly significant, positive relationship between SWC and the principal components of other physicochemical properties. Cluster analysis showed that SWC is highly related and linked to OM, Bd, Pd, Pt and silt/clay. The results implied that conversion to paddock and continuous cultivation led to depletion in soil water, physical and chemical properties, whereas cultivation of tree crops conserved these soil properties better. Therefore, establishment of tree crop and conservative soil management practices are suggested to prevent agricultural lands from degradation in areas with soils under similar conditions.

The objective of this study was to provide the basic data related to the tractor such as power ratios and annual use along with the production pattern, type of farms, farm size and their fragmentation, soil properties. In order to meet the above objective a survey study was conducted in 2013 in four provinces of the Aegean region namely Aydın, Denizli, İzmir and Manisa.Using a GPS device, the coordinates of the location of the agricultural lands were also found in order to analyze the data for further evaluation and GeoMedia Professional 6.0 CBS software. The results from the study indicated that the annual use of tractors is about 650 hours and the surveyed land is a typical example and resembles the whole country in terms of average land size and fragmented land structure. The total land owned by 305 farmers was calculated to be 4023.1 ha and each farmer has 7.47 ha land. On the other hand, the average parcel size was found to be 0.86 ha. The distance between the parcels ranged between 0.5-10 km mostly while %12 of the lands was out of this range.

Conversion of land use from forest to agricultural uses modifies soil quality through physiochemical soil properties changes. This study was conducted in Rwanda’s central plateau agro-ecological zone to evaluate the effect of forest and agricultural land uses on soil quality. The study was conducted in 2020. Soil samples were collected at the top, middle and bottom positions of each of the two land uses. We analyzed soil bulk density, soil moisture content, soil pH, soil organic matter (SOM), total nitrogen (TN), available phosphorus (Av P), and CEC for each position of the land uses. Data were analyzed using ANOVA in GENSTAT version 13. The results revealed that soil properties were significantly affected by land use change. Analysis of variances (LSD<0.05) results showed, however, that treatments were not significantly different within the same land use. The results showed that treatments from top position of forest lands had the highest mean values for soil organic matter and total N parameters with the respective mean values of 6.58 %, and 0.37 %. Treatments from middle position of forest lands had the highest mean values for soil moisture content and Av P parameters respectively with 23.60 % and 29.56 ppm. But, soil bulk density was high on top position of agricultural land with a mean value of 1.49 g/cm3. Land users are advised to apply crop and soil management techniques which maintain soil quality and productivity on agricultural lands.