Browsing by Author "Khadijat Oyebisi Alabi"

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    Characterization and pedogenetic study of soils of Onigambari Forest Reserve in South-West Nigeria.
    (Technoscience Journal for Community Development in Africa, 2024-11-24) Khadijat Oyebisi Alabi; Bola Senjobi; Godwin Anjorin Ajiboye; Clement Olabinjo Adeofun
    The use of forest resources requires accurate knowledge of land and soil properties. This necessitates detailed soil description and classification. This study was conducted to characterize and classify pedogenesis of Onigambari Forest Reserves in south-west Nigeria. Astandard flexible rigid-grid method of survey was used to establish the mapping units. Three profile pits were dug under each land use type (Teak and Gmelina plantations), making six pits in the location. The profile pits were sampled at the pedogenic horizons for physical and chemical properties analyses. Soils obtained were classified using standard methods. The soils were classified as order Alfisols. Based on the moisture regimes, the soil belongs to Udalfs and Aqualfs suborder. At the great group level, the soil fell into the Kandic horizon. Under teak plantation, pedons 1 and 2 were classified as Plinthic Kandiudalfs (Eutric Lixisols), pedon 3 as Arenic Kandiaqualfs (Gleyic Lixisols) while under Gmelina, pedon 4 was classified as Typic Hapludalfs (Ferric Lixisols), pedon 5 Typic Kandiudalfs (EutricLixisols) and pedon 6 TypicKanhapluaqualfs (Gleyic Lixisols). At the soil series levels, pedons 1, 2, 4 and 5 belonged to Gambari series, pedons 3 and 6 belonged to Apomu series. Pedogenic processes identified were leaching, plinthization and desilication processes.
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    Pedogenesis and Classification of Soils along a Toposequence at Omo Forest Reserve in the South-West, Nigeria
    (LAUTECH Crop and Environmental Reviews, 2020-12) Khadijat Oyebisi Alabi; Bolarinwa Ayoola Senjobi
    Characterization of soil morphological, physical and chemical properties helps in delineation and management of soils. This necessitates establishing the characteristics of Omo Forest Reserve soils as well as their classification. The experimental site was delineated on a topographic map of Ijebu-East Local Government area of Ogun State and a rigid-grid method of soil survey was used to establish the mapping unit. The profiles pits were described using the guidelines of FAO (2006) and USDA Soil Survey manual and samples taken from identified horizons. Laboratory analysis was carried out to determine some physical properties like Bulk density (1.12 -1.57 g/cm3 ), saturated hydraulic conductivity (0.53-2.79cm3 /hr), total porosity, electrical conductivity (1 -3 ds/m) and chemical properties as Particle size analysis was determined using the hydrometer method, Soil pH, soil organic carbon, total Nitrogen, available Phosphorus, Exchangeable Ca, Mg, Na and K were also determined. The result showed that the soils had high base saturation which ranges from 92.2- 98.64%, low CEC (3.15- 8.17cmol/kg), clay content increased with depth, regular decrease in organic carbon (1.47 – 0.43%) with increase in depth was also observed. Most of the Pedons clearly expressed Kandic horizon and Udic moisture regime. Therefore, all the pedons were classified as order Alfisols. The soils were classified as Udalfs based on the prevailing moisture regime at the suborder level and they all belong to Effon series.
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    Soil Loss Estimation Using GIS and Remote Sensing Technique: A Case of Teaching and Research Farm, Kwara State University, Malete
    (2024-03-06) Khadijat Oyebisi Alabi; Isaac Afe Ade; Kabir Adebayo; Zainab Bolarinwa
    Due to ongoing cultivation, the Teaching and Research Farm of Kwara State University in Malete has seen quick and accelerated erosion. Run-off-related soil loss is a significant and persistent ecological problem in the study area. Information on soil loss is essential for promoting agricultural production and natural resource management. The average annual soil loss was calculated and mapped in this study using remote sensing and GIS. The soil loss was computed using the Revised Universal Soil Loss (RUSLE) Model. Using a topographic map at a scale of 1:50,000, an aster digital elevation model (DEM) with a spatial resolution of 20 m, a digital soil map at a scale of 1: 250,000, rainfall data spanning 39 years (1981-2020), and other data, RUSLE's soil loss variables were calculated. The RUSLE parameters were investigated and incorporated using a raster calculator in the geoprocessing tools in the arc-GIS 10.1 environment to estimate and map the annual soil loss of the research region. The results show that the annual soil loss in the study region ranged from 48.553 to 1,476.606 t ha -1 year -1, cover around 100 ha of land. Most of the soil erosion affected areas are spatially situated in block 2B and 3A part of the farm. These are areas where low Ferric Luvisols and high Ferric Luvisols with higher soil erodibility character (21- 33) values are dominant. Therefore, it was found that the main causes of soil erosion were slope gradient and length, followed by soil erodibility parameters. The study therefore recommended using sustainable soil and water conservation methods to address the problem of soil erosion in the study area.