7 research outputs found
Estimating Land Use and Land Cover Trends in the Context of Socio-Economic and Climate Change in Ethiopian Watershed
For decades the world has experienced extensive tropical deforestation. In some countries there are now signs of a forest transition whereby loss of natural forest continues while land previously used for agriculture or grazing is being converted into tree plantations and cash crops. This watershed study explores drivers and impacts of such developments to socio-economy and carbon storage and its policy relevance. The study was based on satellite image analysis, field data and interviews regarding land use and forest cover, socio-economic situation and policy over 14 years. It found that intensified land management and drivers of market, infrastructure and household tenure security, have contributed to increased production of food and tree crops and increased forest cover. This forest transition is partly related to policy and driven by the households’ response to a changing market and socio-economic situation. Understanding drivers of change can contribute to sustainable climate and resource management policies. Keywords: Carbon sequestration, Driving forces, Forest transition, Policy, Woodlot plantatio
Soil Loss Estimation Using GIS and Remote Sensing Techniques: The Case of Debis Watershed, Blue Nile Basin Ethiopia
Soil erosion is one of the pressingproblems in highland of Ethiopia. To reduce this problem estimating amount of soil at watershed level is necessary. However, in Ethiopia area specific up to date information in many catchments (watershed) is still found to be lacking. Therefore, this research was carried out to spatially estimate the soil loss rate of Debiswatershed with a Geographic Information System (GIS) and Remote Sensing (RS)technique. Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on rainfall erosivity(R) using interpolation of rainfall data, soil erodibility(K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Result from analysis shows that soil erosion risk differs spatially in the study area because of its rugged topography, geomorphology, landform, soil types, land cover, and land use. The spatial locations of the high spot area for soil erosion in the study revealed that the potential soil loss is typically greater along the steeper slope banks of tributaries. Based on the level of soil erosion rates, the study area was divided into five priority categories for conservation interventions. About 51% (229 sqr.km) of the watershed was categorized none to slight class values ranging from 0.5 to 10 tons ha-1yr-1. The remaining 49 % (1376.48 ha) of land was classified under moderate to high class, which is greater than the maximum tolerable soil loss (11 tons ha-1 y-1).Thus, governmental,non-governmental organization and community found in watershed should focus on applying soil and water conservation intervention which helps to reduce the problem. Keywords: Debis, Soil erosion, RUSLE, Remote sensing, GIS ,Watershed
Assessment of Land Use/ Land Cover Change Using GIS and Remote Sensing Techniques: A Case Study of Dendi District, Oromiya Regional State, Ethiopia
This study was conducted to assess change in land use/ land cover in Dendi District, Oromiya regional sate Ethiopia. To conduct this study three periods of land sat images (Landsat4-5TM1984, Landsat7ETM+2000 and Landsat 8OLI/TIRS 2017) was used. In addition, field observation, focus group discussion and key informant were employed. Google Earth and global position system (GPS) have been used for ground verification. Data was analyzed by using Arcgis10.1, ERDAS imagie9.3 and Microsoft excels 2007 software. The result revealed in study period there is continuous expansion of cultivated land, which increases with rate of 570.6 hectare per year at the expanse of grassland bush/shrub land and forest areas. While forestland, bush/shrub land ,grassland and water reduce with rate of 93.5 hectare per year, 156.1 hectare per year ,318.5 hectare per year and 2.5 hectare per year respectively. This implies that in study area there loss of vegetation because of expansion of cultivated land. This study recommends applying appropriate land management practices to reverse the undesirable land use/ land cover change in the District. Keywords: Dendi District, Ethiopia, Land use/ land cover, GIS & Remote sensing
Dynamics of Land Use/Land Cover Change in Debis Watershed, West Shewa Zone, Ethiopia
Background: To implement sustainable natural resource management at local and national levels, up-to-date and area specific land use/land cover change information is required. However, dynamics of land use/land cover change in Debis watershed was not analyzed previously. Therefore, this study was designed to analysis the rate and pattern of land use/ land cover change in Debis watershed. To address the aforementioned research purpose, the period between 1984 and 2017 was considered. The results of the study reveals continuous expansion of cultivated land, urban built-up area and bare land with the increasing rate of 386ha/year, 33ha/year and 27 ha/year respectively. On the other hand, forestland, bush/shrub land and grassland showed reduction with the rate of 34 ha/year, 114ha/year and 297 ha/year respectively for the study period (1984 to 2017) in the watershed. Outrageous expansion of cultivated land, bare land and built-up area at the expense of bush/shrub land, forestland and grassland were observed in Debis Watershed. This implies that there was loss of vegetation because of expansion of cultivated land and settlement. In other words, Poor natural resources management in general and poor land use planning and management were practiced. This study recommends applying appropriate land management practices to reverse the undesirable land use/land cover change in the study area. Keywords: Change, Debis Watershed, Ethiopia, GIS&RS, Land use/land cove
Impacts of land use and land cover change on ecosystem service values in the Afroalpine area of Guna Mountain, Northwest Ethiopia
Ecosystem service changes caused by land use and land cover change (LULCC) is an important indictor and early warning of ecological changes. However, few attempts have been made to evaluate the effects of LULCC on ecosystem services in the Afroalpine highlands of Northwestern Ethiopia. Therefore, this study aimed to analyze the impacts of LULCC on ecosystem services values in the afro-alpine area of Guna Mountain, Northwestern Ethiopia. Image classification was carried out using Landsat imageries of 1995, 2008, and 2020 following Random Forest algorithm with Google Earth Engine(GEE) based on filtered sample points. A modified benefit transfer method was used to evaluate ecosystem service value (ESV) changes in response to LULCC. The results revealed that the most notable feature of LULCC in the afro-alpine area of Guna Mountain was the expansion of cropland and built-up areas at the expense of grassland, forest, and shrubland. The overall ESV of the study site was estimated at USD 46.97 × 106 in 1995, USD 36.77 × 106 in 2008, and USD 37.19 × 106 in 2020. The net ESVs of the study site declined by USD 9.78 × 106 between 1995 and 2020. The regulating service values accounted for the greatest share, accounting for over 42% in all periods, followed by provisioning and supporting service values, which accounted for over 29% and 13%, respectively, while cultural services accounted for the smallest amount of the total ESV. The ecosystem service value of food production experienced the highest increase. However, the values of the remaining 16 types of ecosystem services declined with varying degrees of reduction over the study periods. The results of this study is necessary for land-use planners and decision-makers who require site-specific information on impacts of LULCC on ecosystem service
The Spatiotemporal Dynamics of Land Use Land Cover Change, and Its Impact on Soil Erosion in Tagaw Watershed, Blue Nile Basin, Ethiopia
Local and regional climate trends and variabilities in Ethiopia: Implications for climate change adaptations
Ethiopia is experiencing considerable impact of climate change and variability in the last five decades. Analyzing climate trends and variability is essential to develop effective adaptation strategies, particularly for countries vulnerable to climate change. This study analyzed trends and variabilities of climate (rainfall, maximum temperature (Tmax), and minimum temperature (Tmin)) at local and regional scales in Ethiopia. The local analysis was carried out considering each meteorological station, while the regional analyses were based on agroecological zones (AEZs). This study used observations from 47 rainfall and 37 temperature stations obtained from the Ethiopian Meteorological Institute (EMI) for the period of 1986 to 2020. The Modified Mann-Kendall (MMK) trend test and Theil Sen’s slope estimator were used to analyze the trends and magnitudes of change, respectively, in rainfall as well as temperature. The coefficient of variation (CV) and standardized anomaly index (SAI) were also employed to evaluate rainfall and temperature variabilities. The local level analysis revealed that Bega (dry season), Kiremt (main rainy season), and annual rainfall showed increasing trend, albeit no significant, in most stations, but the rainfall in Belg (small rainy) season showed a non-significant decreasing trend. The regional levels analysis also indicated an increasing trend of Bega, Kiremt, and annual rainfall in most AEZs, while Belg rainfall showed a decreasing trend in the greater number of AEZs. The result of both local and regional levels of analysis discerned a spatially and temporally more homogeneous warming trend. Both Tmax and Tmin revealed an increasing trend in annual and seasonal scales at most meteorological stations. Likewise, an increase was recorded for mean Tmax and Tmin in entire/most AEZs. The observed trends and variabilities of rainfall and temperature have several implications for climate change adaptations. For example, the decrease in Belg rainfall in most AEZs would have a negative impact on areas that heavily depend on Belg season’s rainfall for crop production. Some climate adaptation options include identifying short maturing crop varieties, soil moisture conservation, and supplemental irrigation of crops using harvested water during the main rainy season.
Conversely, since the first three months of Bega season (October to December) are crop harvest season in most parts of Ethiopia, the increase in Bega rainfall would increase crop harvest loss, and hence, early planting date and identifying short maturing crops during the main rainy season are some climate adaptation strategies.
Because of the increase in temperature, water demand for irrigation during Bega season will increase due to increased evapotranspiration. On the other hand, the increase in Kiremt rainfall can be harvested and used for supplemental irrigation during Bega as well as the small rainy season, particularly for early planting. In view of these findings, it is imperative to develop and implement effective climate-smart agricultural strategies specific to each agro-ecological zone (AEZ) to adapt to rainfall and temperature changes and variabilities
