Decadal Intensity Analysis and Landscape Fragmentation of Land Use land Cover Change in the Owesse River Basin, Southwest Nigeria
Babatola O. Orisaniyi, J. S. Ojo, J. A. ALUKO, D. D Hamza, G. O. EnaruvbeLand use and land cover (LULC) change and landscape fragmentation pose significant threats to ecosystem sustainability in tropical river basins, particularly in rapidly developing regions of sub-Saharan Africa. This study assessed the spatio-temporal dynamics, intensity, and fragmentation of LULC change in the Owesse River Basin, Southwest Nigeria, over a 30-year period (1994–2024). Multi-temporal Landsat imagery (TM, ETM+, and OLI-TIRS) was classified into five LULC categories using supervised maximum likelihood classification, with overall accuracies exceeding 85%. Post-classification change detection was integrated with Intensity Analysis to evaluate interval-, category-, and transition-level changes, while landscape fragmentation was quantified using Morphological Spatial Pattern Analysis (MSPA) and FRAGSTATS metrics. Results revealed significant transformations across all land-cover classes. Forest cover declined markedly, while light vegetation (agriculture) and built-up areas expanded substantially, indicating increasing anthropogenic pressure. Barren land exhibited fluctuating trends associated with land degradation and recovery, whereas water bodies showed slight increases over time. Interval-level analysis identified 2004–2014 as the most active period of change. Category-level results showed forest as a dominant losing class, while light vegetation and built-up areas were active gaining classes. Transition-level analysis revealed systematic conversions primarily from forest to agricultural land and built-up areas, alongside secondary transitions involving other land-cover types. Fragmentation analysis indicated increasing landscape heterogeneity, characterized by reductions in core areas and increases in edge and isolated patches, reflecting declining connectivity. Overall, the findings highlight a transition from natural to human-dominated landscapes driven by agricultural expansion and urbanization. The study demonstrates the value of integrating intensity analysis with landscape ecological metrics and provides critical insights for sustainable land-use planning and ecosystem conservation in tropical river basins.