Browsing by Author "Oyelowo, O.J."

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Edaphic factors and soil organic carbon storage potentials under different land use types in omo biosphere reserves Nigeria
(2022) Oladoye, A.O.; Oyelowo, O.J.; Olubode, O.S.; Ojo, E.O.; Bakare, O.O.; Henry, C.A.
The regulatory functions of the soil are getting attention among scientists and Soil Organic Carbon (SOC) is an important indicator of soil health. A study was carried out to investigate the SOC storage potentials under different land use types (Tectona grandis, Gmelina arborea, Acacia siamea, Pinus carrribea, and Natural forest) in Omo Biosphere Reserves Nigeria. The impact of the five important land use types on SOC and other soil properties were analyzed. Soil core samples were taken at two depths (0-10 and 10-30cm) to observe the changes in soil properties with depth. Laboratory analyses were carried out to determine the bulk density, soil pH, soil moisture, and soil organic carbon. The data obtained were analyzed using the Analysis of variance (ANOVA) and Duncan Multiple Range Test (DMRT) was used to separate the means while Principal Component Analysis (PCA) was used to examine the relationship between the soil parameters. Correlation analysis was carried out to examine if a relationship exists between soil depth and different land use on soil organic content and all other soil properties. The result showed that at both depths there is no significant difference between depths in pH, soil organic carbon, and soil moisture except for bulk density. Total Soil Organic Carbon stored in soil was highest in Teak plantation (3.1), followed by Acacia (2.17), and Natural forest (0.92), and at depth SOC was high in 0 10cm depth. The maximum value of bulk density (gcm3) was found high in 0-10cm at depth and was found high in Teak plantation (1.68) followed by Pinus plantation (1.67) and Acacia plantation (1.53). The distribution of moisture content showed no significant difference but the highest moisture was stored in Natural forest plantation (39.04), followed by Teak plantation (34) and Gmelina plantation (20), and the lowest in Pinus carribea plantation (10). Moisture content across depth showed that 0-10cm depth stored the highest but the 10-30cm depth () had the highest pH. Among the land use types, Teak plantation (5.84) had the highest pH, followed by Gmelina plantation (5.4) and Natural forest plantation (5.23). Results showed that SOC storage in soils can be influenced by different land use systems.
Edaphic factors and soil organic carbon storage potentials under different land use types in omo biosphere reserves Nigeria
(2022) Oladoye, A.O.; Oyelowo, O.J.; Olubode, O.S.; Ojo, E.O.; Bakare, O.O.; Henry, C.A.
The regulatory functions of the soil are getting attention among scientists and Soil Organic Carbon (SOC) is an important indicator of soil health. A study was carried out to investigate the SOC storage potentials under different land use types (Tectona grandis, Gmelina arborea, Acacia siamea, Pinus carrribea, and Natural forest) in Omo Biosphere Reserves Nigeria. The impact of the five important land use types on SOC and other soil properties were analyzed. Soil core samples were taken at two depths (0-10 and 10-30cm) to observe the changes in soil properties with depth. Laboratory analyses were carried out to determine the bulk density, soil pH, soil moisture, and soil organic carbon. The data obtained were analyzed using the Analysis of variance (ANOVA) and Duncan Multiple Range Test (DMRT) was used to separate the means while Principal Component Analysis (PCA) was used to examine the relationship between the soil parameters. Correlation analysis was carried out to examine if a relationship exists between soil depth and different land use on soil organic content and all other soil properties. The result showed that at both depths there is no significant difference between depths in pH, soil organic carbon, and soil moisture except for bulk density. Total Soil Organic Carbon stored in soil was highest in Teak plantation (3.1), followed by Acacia (2.17), and Natural forest (0.92), and at depth SOC was high in 0 10cm depth. The maximum value of bulk density (gcm3) was found high in 0-10cm at depth and was found high in Teak plantation (1.68) followed by Pinus plantation (1.67) and Acacia plantation (1.53). The distribution of moisture content showed no significant difference but the highest moisture was stored in Natural forest plantation (39.04), followed by Teak plantation (34) and Gmelina plantation (20), and the lowest in Pinus carribea plantation (10). Moisture content across depth showed that 0-10cm depth stored the highest but the 10-30cm depth () had the highest pH. Among the land use types, Teak plantation (5.84) had the highest pH, followed by Gmelina plantation (5.4) and Natural forest plantation (5.23). Results showed that SOC storage in soils can be influenced by different land use systems.
Mapping riparian vegetation change in the omo biosphere reserve, Ogun state, Nigeria
(2021) Olatidoye, O.R.; Orimoogunje, O.O.I.; Oyelowo, O.J.; Olubode, O.S.; Oloketuyi,A.J.
The uniqueness of riparian forest and its variation in landscape, geomorphology, contours of the water ways and drainage flow is of great ecological importance, and provides benefits to aquatic, terrestrial habitats and the species that live there. This study addressed the rate of degradation of the riparian vegetation of Omo Biosphere Reserve. The objective of this study was to determine the level of changes in the forest along the riparian zone of Omo Biosphere Reserve in Nigeria, as a basis for effective planning and sustainable management of riparian vegetation. Both primary and secondary data sources were exploited in this study. The primary data included the satellite images acquired over the study area from 1986 to 2016; while the secondary data included topographical maps, administrative boundary and limits of the biosphere reserves acquired from various sources. The satellite images included Landsat images of 1986, 1996, 2006; and 2016 of the study area. Digital image processing was carried out on all the remote sensed imageries; to enhance features of interest and for easy interpretation. The satellite images were processed, using the Erdas Imagine version 2014. The maximum likelihood algorithm classifier was used in classifying the images using the trained pixels into Forest, Settlement, Waterbody, Grassland/Shrubland, Riparian and Cultivation class. The trends of land-cover change showed gradual reduction in forest features, with overall loss of 30.57% of the initial forest cover in the 30-year period; while built-up, cultivations and shrubland/woodland experienced gains with cultivated land having the highest gains. It is concluded that decrease in riparian vegetation is a result of expansion in cultivated land and built-up areas. This implies the need for adopting management plans such as public education in biodiversity conservation, routine maintenance and strict adherence to conservation rules.