Abstract

Land use change is one of the challenges that aggravate environmental problems. Understanding the scope of land use change, driving forces, and consequences is very crucial for proper management of land resources. We investigated land use/land cover changes using remote sensing data (for the years 1973, 1995, and 2017), and field observation, household survey, key informant interview, and focus group discussion were used to determine the drivers and consequences of land use/land cover changes in Shenkolla watershed, south central Ethiopia. Unsupervised and supervised classification techniques were employed to get thematic information from satellite imagery. ArcGIS 10.3 and QGIS v 3.0 softwares were used to accomplish the analysis. The results disclosed that Shenkolla watershed has changed significantly during the past 4 decades between 1973 and 2017. This observed change indicates a reduction in forest land and an increase in agricultural land. Forest land was reduced from 29.51% in 1973 to 20.52% in 2017, but agricultural land was expanded from 70.49% in 1973 to 79.48% in 2017. Agricultural expansion, policy change and social unrest, population pressure, shortage of farm land, and biophysical factors were major driving forces of the LU/LC changes. Environmental implications such as climate change, biodiversity loss, scarcity of basic forest products, habitat alteration, decline in quality and availability of water, and crop yield reduction are the consequences of the LU/LC change. The expansion of agricultural land at the expense of forest cover in Shenkolla watershed has negative implications on the natural resources and the livelihood of local people. Hence, appropriate measures need to be employed to reduce the dramatic change in land use and to harmonize environmental conservation with human livelihood.

Highlights

  • Land use change is one of the challenges that aggravate environmental problems

  • Introduction e complex and dynamic land use/land cover change at various scales has environmental implications [1, 2]. e main driving forces of LU/LC change can be traced to the consumption demands of the increasing population that is a major issue of concern in relation to change in the natural environment [3,4,5]

  • Description of the Study Area. e study was conducted in Shenkolla watershed, covering 1457 ha in south central Ethiopia. e geographical location of the area falls within the coordinates of 7°24′30′′–7°27′0′′ N latitude and 37°43′30′′–37°46′30′′ E longitude (Figure 1). e altitude ranges from 2200–2830 m, which is characterized by gently sloping to rolling plateaus with moderate to high relief hills and dissected side slopes

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Summary

Introduction

Land use change is one of the challenges that aggravate environmental problems. Understanding the scope of land use change, driving forces, and consequences is very crucial for proper management of land resources. Agricultural expansion, policy change and social unrest, population pressure, shortage of farm land, and biophysical factors were major driving forces of the LU/ LC changes Environmental implications such as climate change, biodiversity loss, scarcity of basic forest products, habitat alteration, decline in quality and availability of water, and crop yield reduction are the consequences of the LU/LC change. Most previous studies on LU/LC changes were concentrated in specific areas, mainly in the Northern highlands and some areas in the rift valley lake basin of Ethiopia and quantified only the extent of land use/ land cover changes using remote sensing images; they did not provide explanations on local people perception of driving forces of LU/LC change and associated consequences [22]. Land use/land cover change of Shenkolla watershed is not investigated so far, as the result, the extent of such change, its driving forces, and consequences are poorly understood. erefore, the main objective of the study was to analyze the LU/LC changes from 1973 to 2017 and its driving forces and consequences and to evaluate the coherence of community perception to the changes observed through the interpretation of remote sensing images in the study watershed

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