UISpace
Welcome to UISpace, The University of Ibadan Institutional Repository. A collection of theses, articles, books, videos, images, lectures, papers, data sets and all types of digital content originating from the University of Ibadan Nigeria. This repository is managed by the Kenneth Dike Library University of Ibadan, Nigeria.
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Recent Submissions
Modelling forest cover dynamics in Shasha forest reserve, Osun state, Nigeria
(Faculty of Agriculture, Usmanu Danfodiyo, Sokoto, Nigeria, 2020) Alo A.A.; Adetola, A.A.; Agbor, C.F.
Understanding the dynamics of forest cover change is vital to forest manager for planning, formulation of policies and decision making. Nigeria’s forest reserves have witnessed significant changes over the years due to various anthropogenic activities. Incessant activities of poachers, illegal fellers and other farming activities in Shasha Forest Reserve have adverse effects on the ecosystem with consequence for global warming. However, there is no up-to-date information on the dynamics of forest cover in Shasha Forest Reserve. Therefore, this study aimed at assessing forest cover changes using remote sensing in Shasha Forest Reserve. Landsat Thematic mapper (TM), Enhanced Thematic Mapper (ETM+) and Operational Land Imager (OLI) data for the periods of 1984, 2000 and 2017 were obtained. The Landsat images were pre-processed and classified using maximum likelihood classification algorithm. The Classification was based on Anderson scheme of land use/cover for change detection between 1984 and 2017. Kappa coefficient was used for accuracy assessment. The future pattern of forest cover changes for 2034 was forecast using the Multi-Layer Perception (MLP) Markov chain model in IDRISI. Three land cover classes were identified: Built up, Shrubs and Forest land. Built up and Shrubs increased at an annual rate of 0.09% and 0.18% respectively and forest decreased at an annual rate of 0.27% between 1984 and 2017. Large area of forest land has been converted to built-up and shrubs with no significant replacement from 2000 till date. The forest was projected to decrease between 2017 till 2034 at the rate of 0.15% per annum.
Geospatial modeling of forest landscape assessment: a case study from Ikere forest reserve
(African Journal of Open Libraries (AJOL)., 2020) Chukwuka A. F.; Alo A. A.; Aigbokhan, O. J.
This study set out to assess the dynamic characteristics of the Ikere forest reserve landscape between 1985 and 2017 using remote sensing data and spatial metrics. Landscape of the study area maintained complex patterns of spatial heterogeneity over the years. Forest cover loss to other land cover types results in new large non-forest area at increasing rate. As at the year 2017, the changes in land cover types were not yet at equilibrium, thus the need to determine the future forest cover extent using a three-way markov Chain model. The decrease in number of patches of forest land (NumP) with increase in its mean patch size (MPS) shows that the forest is becoming a single unit probably due to clearing of existing patches of forest trees. The decrease in class diversity and evenness (SDI and SEI) of the general landscape over the years strengthens this assertion. The findings of this study would be very helpful to government and other stakeholders responsible for ensuring sustainable forest and general environment.
The Use of Forest Inventory in Estimating Illegally Felled Trees of Tectonagrandis Plantation in Agudu Forest Reserve,Lafia, Nasarawa State, Nigeria
(Redshine Publication, 2019) Egbewole Z. T.; Rotowa O. J.; Alo, A. A.; Ojo A. S.; Oluwasanmi T. D.; Enenche J. A.; Oluwaseesin, M. B
The aim of this study is to evaluate the Use of Forest Inventory in Estimating Illegally Felled Trees of Tectonagrandis Plantation in Agudu Forest Reserve. Seven (7)plots were randomly selected from different area of the whole plantation. Perimeter measurement for each plot were; Permanent Sample Plot 1 (PSP1) to (PSP3) and Temporary Sample Plot 4 (TSP4) to Temporary Sample Plot 7(TSP7) with size 30m by 30m each totaling 0.63ha. Six (6) mean trees in respect of girth class and height class and 1 plus tree were identified and the stumps of felled trees were measured in each of the 7plots. The study was laid out in a 7 x 6 x 6 factorial experiment in a Randomized Complete Block Design (RCBD) with a total of 252 treatment combinations in order to facilitate the interpretation of the main and the evolving interaction effect. Treatments were analyzed with respect to 7 Sample plots, 6 girth classes and 6 height classes. It was observed that a total of 640 Teak stand and 250 stumps of felled trees on 7plots of size 30m by 30m each totaling 0.63ha.The average tree height was 14.56m, average merchantable height was 11.56m, total basal area (BA) for the 7plots was 48.15m2 and the mean BA was 0.08m2. Total tree Volume (using Newton’s fomular) was 147.69m3 and the mean volume/tree was 0.23m3. The average stump girth (SG) was 30.54cm, 0.09m2 Stump Basal area, the estimated mean tree height was 14.34m while the average Estimated Stump Volume (ESvol) was 0.62m3. The Total Stump Basal area for the whole 250 felled tree stumps was 21.44m2 on the 0.63ha sampled plots, this will amount to 34.03m2/ha while the Total Estimated Stump Volume (ESvol) was 154.18m3 on 0.63ha sampled plots, this will amount to 244.73m3/ha. Based on ‘International prices for teak: Historical and current, and price forecasts’ the World Market Price of Teak as at 2018 is put at 1221.31USD/m3at N355/USD, this will amount to (N433565.1/m3x 244.73m3/ha x 161.28ha) the sum of N17,112,838,083.00 equivalent to a total loss of about (48,205,177.70USD)of felled Teakat 2018 year ending.Comparing all the models tried in this study using the fit statistics, model2: ESV = -0.26 – 1.71BD + 11.38BAs + 0.03MeanTHp ……………….Eq23.With basal diameter (BD), Basal area and mean Tree Height as the independent variables which had (R2 = 99.80, SEE = 0.02, with a negative intercept of -0.26) is the most appropriate prediction model. For predicting tree stump volume of Teak in Agudu Forest Reserve, the 5 ranked models are considered fit because they meet the basic requirement of a good fit model having negative intercept whereas the rest model with positive intercept may be discarded. The stand volume equations, which incorporated various tree growth variables, will enhance future yield prediction of the trees in the study areas since they provide quantitative basis for estimating stand growth parameters. It is believed that these models and volume prediction equations will enhance sound and informed management decisions and conservation measures for the remaining Tectonagr and is stands.
Modeling Urban Green Space Dynamics and Associated Proximate Drivers in Ibadan Metropolis, Ibadan, Nigeria
(Forest and Forest Products Society, 2018) Alo, A.A.; Nwatu, J. U.
However, there is dearth of information on the dynamic of UGS caused by proximate drivers (PD) in Ibadan metropolis of Oyo State, Nigeria having flooded the direct drivers. Therefore, this study was designed to assess UGS changes and the PD that contribute to the changes in the last 34 years. Landsat images of 1984 (TM), 2001 (ETM+) and 2018 (OLI), coordinates of bench mark places of Ibadan metropolis were obtained. Geometric correction and principal component analysis were carried out on the satellite images. Land cover classification was achieved using maximum likelihood classifier method. Shapefile of Ibadan metropolis was super imposed on the classified images for land use/land cover assessment and Kappa statistics was used to carry out accuracy assessment on the image classification. The change detection analysis was carried out on the classified images using geometric geoalgorithm of ArcGIS. Urban green space change (dependent variable) and Proximate Distance (distance from; UGS edges, roads, built-up area and elevation) were extracted from the Landsat images using the distance command in IDRISI with Cramer's V test of association analysis. Four land use/land cover categories were identified; urban green space, built-up, water body and bare-soil. The UGS and water body decreased from 126,344 ha (85.36%) and 233.01ha (0.16%) to 100,481.20 ha (67.88%) and 136.17ha (0.09%) respectively from 1984 to 2018. On the other hand, builtup area and bare-soil increased from 9,250.72 ha (6.25%) and 12,193 ha (8.23%) to 32,227.16 ha (21.77%) and 15,176.20 ha (10.25%) respectively from 1984 to 2018. Distance from built-up (0.59) and UGS edges (0.56) are the dominant PD of UGS dynamics. About 25,863 ha of green space at rate of 760 ha per annum is given up to built-up area and bare-soil between 1984 and 2018. Urban green space decreased with increase in built-up area. The dominant proximate drivers influencing the changes were the distance from the built-up area and urban green space edges.
Malignant ameloblastoma: a challenging diagnosis
(Hospital Universitário, Universidade de São Paulo (USP), São Paulo, Brazil, 2018) Salami, A.; Ezenkwa, U.; Salami, M.; Ajani, M. A.; Okolo, C.
Ameloblastoma is an uncommon and locally aggressive, benign, odontogenic tumor, with local recurrence when not adequately excised. A rare variant of this neoplasm with the benign features but accompanied with metastases has been described. This rare variant is malignant ameloblastoma and is known to have a poor prognosis. We present the case of a young woman who had recurrent mandibular tumors, which were resected twice and histologically reported as ameloblastoma. Four years later, she presented with pulmonary metastasis and atelectasis. A review of the literature on this very rare neoplasm was also performed.