FACULTY OF RENEWABLE NATURAL RESOURCES

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Start date: 2011Subject: search.filters.subject.Land use

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    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.
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    Geospatial Assessment of Akure Forest Reserve in Ondo State, Nigeria
    (Forests and Forest Products Society, 2022) Alo, A. A.; Komolafe, O.O.
    Land Use Land Cover (LULC) changes is one of the significant factors that determines the interaction between humans and its environment in the tropics. In Nigeria, the effect of these anthropogenic activities has led to deforestation and consequent degradation. However, there is dearth of information on the dynamics of many forests cover in Southwestern Nigeria, especially in Akure Forest Reserve. Therefore, this study aimed at assessing the LULC change of Akure forest reserve. Landsat imageries (5 TM of 1984, 7 ETM+ of 2000, and 8 OLI/TIRs of 2016 and 2021were obtained and processed. The processed imageries were analyzed using supervised Maximum Likelihood Classification algorithm to determine LULC classes of Akure forest reserve. The LULC classification followed Anderson darling categorization. Five LULC classes were used: Dense Forest (DF), Less Dense Forest (LDF), Built‐Up (BU), Bare Land (BL) and Water Bodies. Normalized difference Vegetation Index (NDVI) was used to determine the greenness of the reserve. Dense Forest has drastically reduced from 82.6% observed in 1984 to 26.41% in 2021, indicating high level of forest deforestation and degradation, while an upsurge was observed in LDF from 1984 (14.19%) to (55.03%) in year 2021. Changes in BU fluctuated between 0.51% in 1984 and 3.16% in 2021. The highest (0.4) and lowest (0.3) NDVI were recorded in 2016 and 2000. Dense forest cover in Akure Forest Reserve has been converted to agricultural activities. Therefore, there is need for conservation of the forest resources to preclude depletion.
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    Mapping the trends of forest cover change and associated drivers in Mau Forest, Kenya
    (Elsevier, 2021) Jebiwott, A.; Ogendi, G. M.; Agbeja, B. O.; Alo, A. A.; Kibet, R
    "Mau Forest in the Rift Valley in Kenya is the largest of the five major water towers in the country and also the largest indigenous montane forest in Eastern Africa. As such, the forest is an important natural resource base not only to the local economy but to the East African region at large. In spite of this, the forest has been highly degraded owing to immense anthropogenic pressure from the forest surrounding communities. The aim of this study was to assess the trends in forest cover and the driving forces leading to its change. Landsat TM images of 1984 and 1995, ETM+of 2008, and OLI/TIRS of 2020 were used to depict the trend in forest cover for the period between 1984 and 2020. Focus Group Discussions (FGD) and in-depth interviews were also used to get the perceptions and experiences of the local people regarding the trend in forest cover and the associated driving forces. The results from the qualitative data were integrated with those of remote sensing for assessment of trend in forest cover. The study findings indicate a decline of 25.2% of forest cover within the Mau Forest complex in a period four years shy of four decades, amounting to approximately 699 km2 of tree cover. This trend was fueled by an increasing demand for agricultural land where farmlands increased by 69.9%, as well as logging-legal or illegal-where grassland area increased by 37.2%. Three major drivers of forest cover change identified by the participants include human settlements, logging and expansion of farmlands. We recommend that forest policymakers and managers involve the local community, as the main stakeholders, in all levels of decision making and management so as to promote sustainable use of forest resources and improved management of the forest."