This research investigates the effects of land use and land cover (LULC) changes on the ecosystem services of wetlands surrounding Dandi Lake in Oromia, Ethiopia, over 30 years from 1995 to 2025. The study utilizes remote sensing (RS), geographic information systems (GIS), and cloud-based processing through Google Earth Engine (GEE). Landsat satellite images and machine learning techniques, particularly the Random Forest (RF) algorithm, were employed to classify LULC. Historical LULC trends were examined using RF within the GEE platform. To identify the underlying drivers of these changes, a comprehensive approach was adopted, incorporating field observations, focus group discussions, and interviews with local stakeholders. A modified benefit transfer method was applied to assess changes in ecosystem service values (ESVs) resulting from LULC shifts. The findings of the study indicated that population growth, urban expansion, agricultural development, and infrastructure projects are the primary drivers of LULC changes in the Dandi Lake area. Agricultural land has significantly increased, leading to a rise in cropland ESVs from $21.6 million to $24.4 million. However, this growth came at the expense of forests and wetlands, whose ESVs declined markedly from $58.9 million to $23.8 million for forests. Overall, the region experienced a 34 % reduction in total ESVs, decreasing from $123.3 million to $ 81.9 million. These results highlight significant biodiversity losses and reduced ecosystem functionality, underscoring the urgent need for sustainable land use strategies that balance economic development with ecological preservation to maintain environmental integrity and community well-being.
扫码关注我们
求助内容:
应助结果提醒方式:
