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Adenrele, Adeniyi Sunday
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Trend Analysis of Climate Variability and Land-Use Dynamics in a Data-Scarce Region of Southwest Nigeria Using Remote Sensing and Meteorological Data Adenrele, Adeniyi Sunday; Samuel, Adelabu; Olusegun, Ekanade; Sunday, Durowoju Olufemi; Mutiso, Jackson Colbert; Anthony, Kola-Olusanya
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60001

Abstract

This study investigates long-term climate variability and land-use dynamics in the Ife Region of Southwest Nigeria using an integrated, multi-source geospatial framework spanning 1984-2024, addressing persistent data limitations in the region. Meteorological data, including daily and monthly rainfall and temperature records, were obtained from the Climate Hazards Group InfraRed Precipitation (CHIRPS) and ERA5-Land datasets, respectively and complemented by satellite-derived variables NDVI, land surface temperature (LST), and land-use/land-cover (LULC) acquired from Landsat (TM, ETM+, OLI/TIRS) imagery of 30m resolution. Accuracy assessments were conducted for all classified years to ensure the reliability of the results. Results show a mean air temperature rise of about 1.24°C over the study period, equivalent to a trend of +0.031°C per year, alongside a progressive increase in annual rainfall at +7.28mm per year. LST intensified significantly, increasing by 3.6 - 5.2°C in urban areas and 2.1 - 3.4°C in rural areas. Vegetation condition weakened markedly, with peak-season NDVI decreasing from 0.68 in 1984 to 0.42 in 2024, indicating heightened vegetation stress. LULC analysis revealed extensive spatial transformation: Undisturbed Forest declined by 540.05km² (-56.95%), while Farmland and Built-up Areas expanded by 253.87 km² (+95.47%) and 124.23 km² (+38.40%), respectively. Classification reliability remained consistently strong, with Overall Accuracy values ranging from 93.5% to 96.1% and Kappa coefficients of 0.90–0.95. The regression model explains 86.9% of LST variability in the Ife Region (R² = 0.869; F(6, 45) = 50.05, p < 0.001), with temperature (β = 0.789), Built-up Areas (β = 0.321), and forest cover (Undisturbed: β = –0.266; Disturbed: β = 0.198) as main drivers. Urbanisation and forest loss increase warming, while intact forests and rainfall (β = –0.178) provide cooling, highlighting the combined effects of land-cover and climatic factors on surface temperatures. These interacting shifts heighten ecological stress, influence hydrological stability, reduce agricultural resilience, and amplify urban heat conditions.
Socio-Spatial Determinants of Household Solid Waste Generation and Disposal Behaviour in Medium-Sized Cities in Osun State, Nigeria Adenrele, Adeniyi Sunday
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60037

Abstract

Rapid urbanisation and changing consumption patterns have intensified solid waste generation and unsustainable disposal practices in Nigerian cities. Although municipal solid waste management has been widely studied in metropolitan areas, limited evidence exists on the socio-spatial determinants of waste generation and disposal behaviour in medium-sized cities. This study examined these determinants in Osogbo, Ede, and Iwo, three medium-sized cities in Osun State. Primary data were collected from 244 household heads using multistage sampling across high- and low-density neighbourhoods. Descriptive statistics, multiple linear regression, multinomial logistic regression, and analysis of variance (ANOVA) were used to analyse waste generation, disposal behaviour, and willingness to pay for improved waste services. Results showed that household waste generation was significantly higher in high-density neighbourhoods than in low-density areas. Biodegradable materials, particularly food and vegetable waste, constituted the largest proportion of household waste (54.6–62.1%), while plastics dominated the non-biodegradable fraction. Regression identified household income, household size, and residential location as significant determinants of waste generation. Multinomial logistic regression indicated that higher household income and educational attainment reduced the likelihood of environmentally unsustainable disposal practices, whereas larger household size, high residential density, and greater distance to formal disposal facilities increased the likelihood of open burning and roadside dumping. Each additional kilometre to the nearest formal disposal facility increased the odds of roadside dumping or burial by approximately 85.5% (OR = 1.855). ANOVA revealed significant differences in willingness to pay according to household income, educational attainment, and proximity to formal disposal facilities (p < 0.05). The findings demonstrate that household waste management behaviour is a socio-spatial process shaped by interactions between socioeconomic conditions and spatial accessibility to waste management infrastructure. The study contributes by integrating waste generation, disposal behaviour, and willingness to pay within one analytical framework, providing policy-relevant evidence for context-specific and sustainable waste management strategies in urbanising cities.