Understanding recent land use and land cover dynamics in the source region of the Upper Blue Nile, Ethiopia: Spatially explicit statistical modeling of systematic transitions

Teferi, Ermias; Bewket, Woldeamlak; Uhlenbrook, Stefan; Wenninger, Jochen

doi:10.1016/j.agee.2012.11.007

Cited by 179 publications

(164 citation statements)

References 44 publications

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“…Various authors addressed LULCC in Ethiopia, their focus varying greatly in terms of thematic area as well as spatial locations [20][21][22][23][24][25][26]. However, comprehensive and national scale analysis was conducted by the Woody Biomass Inventory and Strategic Planning Project (WBISPP), which has produced land use and land cover maps for Ethiopia [27].…”

Section: Yearmentioning

confidence: 99%

Land Use and Land Cover Change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015

Hailemariam

Soromessa

Teketay

2016

Land

135

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Anthropogenic factors are responsible for major land use and land cover changes (LULCC). Bale Mountain Eco-Region in Ethiopia is a biodiversity-rich ecosystem where such LULCC have occurred. The specific objectives of this study were to: (i) determine which LULC types gained or lost most as a result of the observed LULCC; (ii) identify the major drivers of the LULCC/deforestation; and (iii) assess the approximate amount of carbon stock removed as a result of deforestation during the study period. Remote sensing and GIS were used to analyze LULCC. Landsat images acquired in 1985, 1995, 2005, and 2015 were used. Additionally, data from the Central Statistics Agency on cropland expansion, and human and livestock population growth were analyzed and correlations were made. The results showed that forest lost 123,751 ha while farmland gained 292,294 ha. Farmland and urban settlement expansion were found to be major drivers of LULCC. Aboveground carbon stock removed from forest and shrubland was more than 24 million tons. In the future, allocation of land to different uses must be based on appropriate land use policies. Integrating biodiversity and ecosystem values for each land cover as per the UN Sustainable Development Goal (UN-SDG) 15.9 may be one of the mechanisms to limit unplanned expansion or invasion of one sector at the expense of another.

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Section: Yearmentioning

confidence: 99%

Land Use and Land Cover Change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015

Hailemariam

Soromessa

Teketay

2016

Land

135

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“…An overall accuracy of 95.6% and a Kappa coefficient of 0.94 was attained for the 2009 classified map. Similarly, overall classification accuracy of 91.5% (Kappa coefficient of 0.89) was achieved for the 1986 land-cover map (refer Teferi et al [24] for details on the land-cover classification). …”

Section: Datamentioning

confidence: 82%

“…The steep slopes, coupled with erosive rains, have contributed to the excessively high rates of land degradation and soil erosion [21,22]. As one of the severely eroded and degraded parts of the basin, the catchment received the attention of researchers who undertake various socio-environmental and water resources studies in the catchment [23,24]. Land-use and land-cover changes, such as loss of grassland cover due to overgrazing, poor land-use management and change from grassland to agricultural land for instance, may have contributed to a higher level of gully formation, soil erosion and land degradation in general.…”

Section: Study Areamentioning

confidence: 99%

“…Potential land-use change drivers were identified through literature reviews [7,24,33] and field interviews with farmers, local farming experts, regional land bureau officials and through spatial correlations (Table 1). In addition to derived spatial layers such as distances from roads, towns and rivers, a number of biophysical and socio-economic datasets were gathered, pre-processed and used in the land-use model setup (Table 1).…”

Section: Datamentioning

confidence: 99%

“…Field observations and interviews with key informants also provided valuable insights in the identification of land-use change drivers in the catchment. The base and reference Landsat Thematic Mapper (TM) based land cover maps for the years 1986 and 2009, respectively, were produced from a previous study carried out in the catchment [24]. The land cover classes were reclassified into 5 groups, i.e., Natural Woody Vegetation (NWV), Plantation Forest (PF), Cultivated Land (CL), Grassland (GL) and Others.…”

Section: Datamentioning

confidence: 99%

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Land-Use Change Modelling in the Upper Blue Nile Basin

et al. 2016

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Land-use and land-cover changes are driving unprecedented changes in ecosystems and environmental processes at different scales. This study was aimed at identifying the potential land-use drivers in the Jedeb catchment of the Abbay basin by combining statistical analysis, field investigation and remote sensing. To do so, a land-use change model was calibrated and evaluated using the SITE (SImulation of Terrestrial Environment) modelling framework. SITE is cellular automata based multi-criteria decision analysis framework for simulating land-use conversion based on socio-economic and environmental factors. Past land-use trajectories were evaluated using a reference Landsat-derived map (agreement of 84%). Results show that major land-use change drivers in the study area were population, slope, livestock and distances from various infrastructures (roads, markets and water). It was also found that farmers seem to increasingly prefer plantations of trees such as Eucalyptus by replacing croplands perhaps mainly due to declining crop yield, soil fertility and climate variability. Potential future trajectory of land-use change was also predicted under a business-as-usual scenario (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021)(2022)(2023)(2024)(2025). Results show that agricultural land will continue to expand from 69.5% in 2009 to 77.5% in 2025 in the catchment albeit at a declining rate when compared with the period from 1986 to 2009. Plantation forest will also increase at a much higher rate, mainly at the expense of natural vegetation, agricultural land and grasslands. This study provides critical information to land-use planners and policy makers for a more effective and proactive management in this highland catchment.

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Groundwater Potential Zone Mapping Using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia

Melese

Belay

2021

Global Challenges

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regions across the world. [1][2][3][4] Groundwater is an important resource contributing significantly to total annual supply. [5,6] Uncontaminated and groundwater is a crucial to sustain life on earth, particularly at the present time when water scarcity is becoming central issue in many nations across the globe. [7] The tropical and subtropical regions are severely affected with the problems related to groundwater. [8] The groundwater resources potential of Ethiopia is estimated to be about 40 billion cubic meters. [9] According to ref, [10] groundwater provides more than 90% of the water for domestic and industrial supply in Ethiopia, but a very small percentage of water is used for irrigation, which mostly generate from surface water. However, Ethiopia has also suffered frequent devastating droughts with severe ramifications comprising famine, augmented poverty, and civil unrest. [10] Overexploitation has exhausted groundwater availability noticeably and also led to land subsidence at some places. [11] To control land degradation, long-term sustainable utilization of water resources, new methods for the controlling of land and water resources are increasing in the present day. Hence, assessing and constructing groundwater potential mapping is very much indispensable for better improvement of groundwater resources and techniques for its investigation. [12][13][14][15][16][17][18][19][20][21][22] In the Abay basin, groundwater is a source of domestic water in urban and rural areas. [23] According to ref [23] inadequate public water supply is being a serious problem for the community in Muga watershed due to population growth. The practical development of the groundwater resources will have a significant effect on the improvement of the community's livelihood. Generating a groundwater potential map has a significant effect to enhance the sustainable management of groundwater resources in the study area. Thus, the present study is critical for quick identification of groundwater potential for better utility in the study watershed.Geographic Information System (GIS) is a computer based system that can be used capture, store, manipulate, analyze and present geospatial data to solve several complex and complicated problem in the environment. [24] Recently, the application of GIS is being powerful and applied to deciphering the potential areas of groundwater occurrence with cost effective Groundwater is an important resource that contributes significantly to the total annual water supply. The purpose of the present study is to assess and delineate the groundwater recharge zone using geospatial technology through an analytical hierarchal process (AHP) method in to the Muga watershed, Abay Basin. Remote sensing satellite images and the corresponding data are used for the preparation of thematic layers, viz., geology, rainfall, slope, soil, curvature, topography wetness index, elevation, drainage density, land use land cover, and lineament density of the study watershed. All thematic layers are integrated with a multicr...

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Understanding recent land use and land cover dynamics in the source region of the Upper Blue Nile, Ethiopia: Spatially explicit statistical modeling of systematic transitions

Cited by 179 publications

References 44 publications

Land Use and Land Cover Change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015

Land Use and Land Cover Change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015

Land-Use Change Modelling in the Upper Blue Nile Basin

Groundwater Potential Zone Mapping Using Analytical Hierarchy Process and GIS in Muga Watershed, Abay Basin, Ethiopia

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