Validating Local Drivers Influencing Land Use Cover Change (LUCC) in Southwestern Ghana: A Mixed-Method Approach (MMA) Analysis.

Abstract

Addressing undesirable changes associated with the driving forces of land use cover change are critical to sustainable land management, and the future modelling of land use systems in developing countries. The study ascertains local drivers of land-use cover change in Southwestern Ghana using a mixed-method approach. The approach aided in identifying key land-use drivers, using different research strategies for comparisons through confidence level analysis and Analytic Hierarchy Process. We used expert interviews, existing literature and geostatistical tools to ascertain the driving forces triggering such unprecedented changes. Landsat imagery 5 MSS, 4 and 5 TM, 7 ETM+ and 8 OLI/TIRS were acquired from the United States Geological Survey’s website. Land use analysis revealed a decline in forests (-334.8 km2yr−1.) and areas covered by waterbodies (-4.79 km2yr−1.). A remarkable increase in built-up (+137.93 km2yr−1.) and farmlands/shrubs (+131.97 km2yr−1.) areas were also observed. The contribution rate of change analysis revealed built-up areas and increasing population contributed the most to surface temperature and land use change. A steady increase in surface temperature can be attributed to the undesirable changes associated with land-use systems over the past 50 years. Socio-economic development in Southwestern Ghana is fuelling interest in studies related to land use cover change. Biophysical, cultural and technological factors are considered key drivers despite the “medium-to-very low confidence” in results generated. They could potentially impact climate-sensitive sectors that significantly modify land-use systems from the pessimists and optimists’ perspectives. Standpoints established through this study will enrich basic datasets for further studies at the continental level.

From Wooded Savannah to Farmland and Settlement: Population Growth, Drought, Energy Needs and Cotton Price Incentives Driving Changes in Wacoro, Mali

“…A mixed-methods approach, suggested as a key approach in land change research [18,19], was chosen to assess LULCC quantitatively (through remote sensing) and the drivers behind these changes qualitatively (through social valuation in focus group discussions). The different steps followed in this study for data collection and analysis are presented in Figure 2.…”