FACULTY OF RENEWABLE NATURAL RESOURCES
Permanent URI for this communityhttps://repository.ui.edu.ng/handle/123456789/276
Browse
40 results
Search Results
Item Development of Digital Elevation Models for Omo Forest Reserve Nigeria(Commonwealth Forestry Association, 2016) Alo, A.A.Digital Elevation Model (DEM) is a very important geospatial data used in modeling different hydrological and ecological phenomenon which are required in preserving our micro environment. DEMs are typically used to represent terrain relief. DEMs are particularly relevant for many applications such as lake and water volumes estimation, soil erosion volumes calculations, flood estimate, quantification of earth materials to be moved for channels, roads, dams, embankment etc. In this study, a total of 1,849 points coordinates with their respective elevations were obtained covering the entire study area. The algorithm used includes interpolated natural neighbour of Quantum Geographic Information System (QGIS) to generate Digital Elevation Model (DEMs) for the forest reserve. The contour lines were extracted from DEM at interval of 20 m from one another. It was observed that the presence of Omo river at the southern part of the reserve is responsible for the very low altitude obtained. On the other hand, the altitude at the northern part of the reserve is relatively high because of the presence of rock outcrop, which also makes the vegetation to be scanty. Therefore, Geographic Information System was used to develop Digital Elevation Model for Omo forest reserve to serve as baseline information for the study area.Item Land Use Land Cover Dynamics of Faculty of Agriculture and Forestry Practical Demonstration Site, I1eogbo, Osun State, Nigeria(Forests and Forest Products Society, 2018) Ilelakinwa, G. A.; Alo, A.A.Information on land use and land cover is very essential for change detection and monitoring especially where anthropogenic activities prevail like the Faculty of Agriculture and Forestry Practical Demonstration Site at Ileogbo (FAFPDSI). Such formation will help in the management of the site. However, detail information on these changes over time is lacking. Therefore, the land use land cover dynamics of the FAFPDSI was investigated over time in this study. This was with the view of providing information for the sustainable management of the site. Sketch map of Ileogbo was obtained from Physical Planning Unit of University of Ibadan, Ibadan, Nigeria. Landsat 7 Enhanced Thematic Mapper imagery of 2002, 2017 and historical image of 20 13 were obtained. These imageries were subjected to spectral enhancement and geometric corrections. The imagery was subjected to supervised classification method using IDRISI Taiga where four land use types were discovered. The four land use types are forest, bare-land, farmland and built-up. The results showed that natural forest reduced from 104.76 ha in 2002 to 81.41 ha in 2013 and to 71.51 ha in 2017 with a percentage change of -31.74%' Farmland, on the other hand. increased from 60.89 ha in 2002 to 66.04 ha in 2013 and to 68.28 ha in 2017 with a percentage change of 12.09%. The rate of deforestation was recorded ~t 2.22 ha/yr. The forest land in the study area is reducing' at an alarming rate. Bare-land and farmland are replacing the forest. The study has revealed the efficiencies of remote sensing and GIS techniques for data capturing to produce reliable information on the land use/land cover and the changes that has occurred over time.Item Land Use Mapping and Change Detection of Abayomi Forest Estate Ikoyi, Osun State, Nigeria(Commonwealth Forestry Association (CFA) Conference, Nigeria Chapter Federal, 2018) Alo, A.A.; Adewale, A.Incessant encroachment of log poachers, bush burning, conversion of forest for agricultural purposes and other land use contribute largely to deforestation in Nigeria. However, adequate information about the changes in most of our forest ecosystem is scarce. Therefore, this study examined the use of Geographic Information System (GIS) and Remote Sensing (RS) in mapping Land Use Land Cover (LULC) dynamics in Abayomi Forest Estate, Ikoyi, Osun State between 2006 and 2016 with a view to providing information for relevant stakeholders in forestry for sustainable management. Satellite imagery and sketch map of Abayomi Forest Estate were obtained. Coordinates of some benchmark places that could be identified on satellite imagery, sketch map and on ground were obtained. Historical imageries for 2006, 2011 and 2016 of the study area were also obtained. The coordinates of the benchmark places were used to georeference the sketch map. The georeferenced sketch map was used to develop shapefile for the study area. This was superimposed on the satellite imagery to delineate various land use through vectorisation. After vectorisation, the historical imageries of 2006, 2011 and 2016 were analysed using open layer plugin geoalgorithm of quantum GIS to determine the changes in various land use within the forest ecosystem. Geometry algorithm was used to determine the various land use size of each year. It was observed that eight land use land cover; forest (73.16 ha), oil palm plantation (29.96 ha), bareland (0.18 ha), pineapple plantation (0.16), built up area (0.13 ha), forest road, footpaths and water bodies were delineated from a total of 103.59 ha of the study area. Forest recorded absolute change of -0.37 and 0.00 between 2006 and 2011 and between 2011 and 2016 respectively. The Oil palm Plantation recorded absolute change of -0.06 and 0.00 between 2006 and 2011 and between 2011 and 2016 respectively. Bareland and built-up area recorded 0.16 and 0.11 between 2006 and 2011 while between 2011 and 2016, both recorded zero absolute change. The forest estate was maintained in a sustainable manner between 2006 and 2011 and under strict conservation without any iota of deforestation.Item Factors Influencing Spatio-Temporal Variation of Urban Green Space in Ado-Ekiti Metropolis(Commonwealth Forestry Association (CFA) Conference, Nigeria Chapter Federal, 2020) Alegbeleye, O. M.; Alo, A. A.Geographic Information Systems (GIS) and Remote Sensing (RS) have proven to be an accurate means of determining Urban Green Space (UGS), extent and pattern of changes in land use land cover of a large area of land over time. However, there is dearth of information on spatial variation of UGS and its perceived factors in Ado -Ekiti. Therefore, this study adopted RS and GIS techniques to determine the factors responsible for the UGS changes in Ado -Ekiti metropolis. Map of Ado-Ekiti metropolis and Landsat imageries of 1987 (TM), 1998 (TM) and 2019 (OLI) were obtained. A set of 112 well -structured questionnaire was randomly administered to respondents in the study area. Map of Ado -Ekiti was georeferenced and digitized to obtain its shapefile. Landsat imageries were classified using the maximum likelihood algorithm of supervised classification in ArcGIS. The shapefile was superimposed on the classified imageries and clipped for determination of land use land cover sizes. The questionnaire were analyzed to determine the perceived factors responsible for the spatial variation in the UGS using logit regression model in STASTICA. Four land use land cover; Green spaces, Built-up area, water body and bare land, were identified in Ado-Ekiti metropolis. The UGS decreased from 76.1% in 1987to 32.1% in 2019. In the same vein, water body reduced from 0.3% to 0.1% in 1987 to 2019 respectively. However, built up area and bare land increased from 20.3% and 7.5% to 54.6% and 13.2% in 1987 to 2019, respectively. Spatial and temporal variation in UGS was significantly influenced by population growth (103760.20 Odds -Ratio) and demand land for agriculture (15.53 Odds-Ratio) as represented with the equation FAUGS =-26.78+11.50(PG) - 20.20(Poverty) – 15.04(LLE) - 12.59(DT) + 2.74(AGR). However, other factors, whose contributions were not significant include lack of law enforcement, demand for timber and poverty.Item Forested landscape dynamics in Saki-East local government area of Oyo State, Nigeria(Forests and Forest Products Society, 2021) Alo, A. A.; Onilude, Q. AThe prime objective of this study is to apply Remote Sensing and GIS technology in examining the trend and pattern of land cover changes observed between forested and non-forested landscapes in Saki east LGA of Oyo State, Nigeria. This was done for the purposes of determining changes in the vegetation cover for a period of 27 year. Satellite Imageries were obtained from Global Land Cover Facility (GLCF) and GLOVIS. Landsat Thematic Mapper of 1992, 2001, 2010 and Operational Land Imager of 2019 were obtained at 30m resolution. The Image analysis was done and created using ArcGis 10.5 (ESRI, Redland, CA). Satellite imagery was classified into two major categories, Forested landscape and Non-forested landscape. Results from satellite imageries also showed that forested landscape decreased from a total land area of 139,510 ha (84.53%) in 1992 to 102,480 ha (62.09%) in 2019. The amount of land area lost by forested landscape is being added up by the non-forested landscape. 2.53% of forested landscape was lost to non-forested between 1992-2001, with 18.05% and 1.86% lost between 2001-2010 and 2010-2019 respectively. However, percent change per year in lost of forested landscape observed was 0.28%, 2.01% and 0.21% between 1992-2001, 2001-2010 and 2010-2019 respectively. It was concluded that changes observed in forested landscape was due to deforestation to provide raw materials for wood industries, and space for agriculture and building of house for the increasing population in the area. The implications of deforestation for biodiversity and climate change have been highlighted.Item Assessment of the availability and affordability of mushroom raw-materials in Ibadan metropolis(Horticultural Society of Nigeria (HORTSON), 2023) Oladoja, S. A.; Ajewole, O. I.; Akintunde-Alo, D. A.; Ibe, R. B.Mushroom is regarded as mother of all vegetables because of its roles in human nutritional supply with abundant number of essential vitamins, minerals and protein. However, there is dearth of information on what goes into its domestication, therefore this study assessed the availability and affordability of raw-materials for mushroom production in Ibadan metropolis with a view to encourage sustainable production for economic growth. Ibadan metropolis was purposively chosen based on the abundance of various institutions who are actively involved in the production of mushroom and presence of some trained farmers who are into the production. Information was elicited from 36 mushroom producers with the aid of structured questionnaire. Data were analysed using descriptive statistics such as frequencies and percentages. Findings revealed that 58.3% respondents rarely had materials for mushroom production whenever they intend to produce, 50% respondents cannot afford relevant materials needed for the production, while 30.5% respondents revealed that spawn production cost between 500-1,000 naira. Also, lack of capital and favourable environment are key factors contribution to no increase in mushroom production. It is therefore recommended that basic and necessary production materials be made available and accessible to producers at subsidized rates. In order to enhance production, credit support should be made available to producers at affordable interest rates.Item Land Use Land Cover Dynamics of Ise Forest Reserve, Nigeria(Faculty of Agriculture, 2024) Akintunde-Alo, D. A.; Owoeye, Y. T.; Oyediran, A. E.; Komolafe, O. O.Understanding the dynamics of Land Use Land Cover (LULC) is necessary for generating valuable information for informed decision-making in managing natural resources in the tropics. However, relevant information on these dynamics of forest cover is sparse, especially in Ise Forest Reserve. Therefore, this study aimed to assess the changes in land cover in Ise Forest Reserve between 2000 and 2020. Utilizing imagery from Landsat 7 and 8 acquired from the United States Geological Survey (USGS) database, covering the years 2000, 2010, and 2020, we employed a maximum likelihood algorithm to classify the images. Three LULC classes were identified: Forest, Farmland, and Settlement. Our analysis revealed significant shifts in land cover over the studied period. In 2000, forest coverage accounted for 87.5% of the reserve area in 2000, decreasing to 77.46% in 2020. Conversely, farmland increased from 10.74% in 2000 to 17.24% in 2020, while settlement areas expanded from 1.71% to 5.30% during the same period. These changes indicate the impact of anthropogenic activities in the area. In conclusion, LULC changes in Ise forest reserve revealed a concerning trend of deforestation and land cover change due to human activities. This research contributes valuable insights into the evolving landscape dynamics of the reserve, providing essential information for conservation efforts and sustainable land management practices.Item Development of a location-enabled application for threatened tree species at the university of Ibadan, Nigeria.(Forestry Research Institute of Nigeria (FRIN), 2024) Mustapha M.B.; Akintunde-Alo D. A.Combining geospatial tools and data provision elements can greatly benefit threatened species management, particularly where location services are added. Therefore, this study was designed to develop a location-enabled mobile application for managing threatened trees within the University of Ibadan. The selection of threatened trees was based on the IUCN Red List. Threatened trees with a diameter at breast height of not less than 10cm within the University of Ibadan were identified to species level and wholly enumerated. The growth variables of each threatened tree were estimated, and each identified tree was georeferenced. Identified threatened trees were categorized based on their IUCN status, and the mean growth variables and the total number of trees, families and species per family were displayed. Icons on a map also represented identified trees to show their spatial. A data addition form was created, and the Google Firebase Real-time Database was used as a temporary repository of user-suggested data. A navigation system was also designed to navigate to threatened tree locations. A user-friendly mobile application called "UITTNav" was developed within the scope of this study. The application can be downloaded with the name "UITTNav" for free on the Google Play store without any restriction from June 2024. The application combines the ability to show where trees are, help users find their way to these trees, give detailed information about them, and allow users to suggest tree data. It will provide adequate location and tree data to manage threatened trees within the University of Ibadan.Item Geodatabase and Health Risk Assessment of Avenue Trees on Selected Roads in a Tertiary Institution in Ibadan, Nigeria(Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP), 2024) Israel, R.; Akintunde-Alo, D. A.; Mshelia, Z. H.; Oluwajuwon, T.V.Campuses of Nigerian universities, especially the older ones, are home to aged trees that were originally planted for environmental beautification and aesthetics. However, due to the current global climate change and increased vulnerability to abiotic and biotic stressors, the old trees could pose threats to pedestrians, structures, and roads within the university campus environments. Therefore, the objective of this paper is to develop a geodatabase and evaluate the health risk assessment of avenue trees on selected roads in a tertiary institution in Ibadan, Oyo State, Nigeria using appropriate standard methods. Results obtained reported a total of 121 individual avenue trees belonging to 14 species along the study roads. The geospatial distribution analysis revealed that Emotan road had a lower density of avenue trees compared to Benue and Oduduwa roads. Furthermore, the health risk assessment indicated that 17.35% of the individual avenue trees had defects, posing potential hazards and risks of tree failure, and potential damage to pedestrians, vehicles, and neighboring utilities. The developed geodatabase is user-friendly and allows for easy data storage and quick information retrieval on the avenue trees, enhancing their maintenance and risk management. Furthermore, this study shows that systematic replacement, replanting, and management of avenue tree species could be a proactive initiative for the expansion of the geodatabase and to reduce negative health impacts.Item Assessment of land surface temperature and factors influencing urban green space dynamics in Sapele, Delta State of Nigeria(Faculty of Agriculture, Usmanu Danfodiyo, Sokoto, Nigeria, 2024) Akintunde-Alo, D. A.; Joy, A.; Komolafe, O.O.Forest is a carbon sink contributing to the tropical Land Surface Temperature (LST) changes. However, information on the nexus between Urban Green Space (UGS) and LST of most cities is limited. Therefore, spatiotemporal variability in UGS and LST, and factors affecting UGS dynamics were examined in Sapele, Delta State, Nigeria. Landsat imageries of 2002, 2012, and 2022 were obtained and classified using Iso Cluster Classification with point pixel-based correction for accuracy improvement. The LST was extracted from the imageries. Relationship between NDVI and LST was established using R. Structured questionnaire was used to elucidate information on factors affecting UGS (FAUGS); population growth (PG), lack of law enforcement (LLE), demand for timber (DT), agricultural expansion (AE), overgrazing (O), soil characteristics (SC), urban sprawl (US) and lack of land tenure system (LLTS), using logit regression at α=0.05. Four LULC were identified; UGS, water bodies, bare land, and built-up areas. The UGS decreased from 88.55% in 2002 to 81.83% in 2022, built-up area expanded from 4.64% to 12.55%. Highest mean LST (27.46°C) and lowest NDVI (0.54) were recorded in 2012, least LST (26.46°C) and highest NDVI (0.69) were recorded in 2002. Negative nexus was observed between NDVI and LST for 2002 (-0.453), to 2022 (-0.393). The odd ratio showed that PG (1.2x108), US (13.8), and LLTS (3.0) significantly affected UGS dynamics with the regression model (FAUGS) = -9.7 + 18.6(PG) – 8.0(LLE) - 23.61(DT) - 18.5(AE) -10.8(O) - 25.7(SC) + 2.6(US) + 1.1(LLTS). This study affirmed that urban green space was affected by urbanization.