Land use dynamics and base and peak flow responses in the Choke mountain range, Upper Blue Nile Basin, Ethiopia

Gessesse, Agenagnew A.; Melesse, Assefa M.; Abiy, Anteneh Z.

doi:10.1080/15715124.2019.1672700

Cited by 9 publications

(8 citation statements)

References 42 publications

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“…Since the time interval of crop evapotranspiration is relatively short compared with forest or shrubland, it is well known that agricultural land will reduce evapotranspiration However; these LULC classes exhibit low water absorption and release large amounts of water to the outlet of the sub-basin, resulting in high water production. LULC loss also indicates reduced infiltration, which means low base flow and groundwater recharge [135], high surface runoff and peak flow, and low evapotranspiration [136,137]. However, semi-arid areas such as the upper reaches of the Awash River basin have a lot of rainfall and high temperatures, and surface water evaporation is still relatively high.…”

Section: Lulc Change Implications For Water Resources Managementmentioning

confidence: 99%

Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management

Daba

Suning

2022

Sustainability

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Despite the rapid economic and population growth, the risks related to the current dynamics of land use and land cover (LULC) have attracted a lot of attention in Ethiopia. Therefore, a complete investigation of past and future LULC changes is essential for sustainable water resources and land-use planning and management. Since the 1980s, LULC change has been detected in the upper stream of the Awash River basin. The main purpose of this research was to investigate the current dynamics of LULC and use the combined application of the cellular automata and the Markov chain (CA–Markov) model to simulate the year 2038 LULC in the future; key informant interviews, household surveys, focus group discussions, and field observations were used to assess the consequences and drivers of LULC changes in the upstream Awash basin (USAB). This research highlighted the importance of remote sensing (RS) and geographic information system (GIS) techniques for analyzing the LULC changes in the USAB. Multi-temporal cloud-free Landsat images of three sequential data sets for the periods (1984, 2000, and 2019) were employed to classify based on supervised classification and map LULC changes. Satellite imagery enhancement techniques were performed to improve and visualize the image for interpretation. ArcGIS10.4 and IDRISI software was used for LULC classification, data processing, and analyses. Based on Landsat 5 TM-GLS 1984, Landsat 7 ETM-GLS 2000, and Landsat 8 2019 OLI-TIRS, the supervised maximum likelihood image classification method was used to map the LULC dynamics. Landsat images from 1984, 2000, and 2019 were classified to simulate possible LULC in 2019 and 2038. The result reveals that the maximum area is covered by agricultural land and shrubland. It showed, to the areal extent, a substantial increase in agricultural land and urbanization and a decrease in shrubland, forest, grassland, and water. The LULC dynamics showed that those larger change rates were observed from forest and shrubland to agricultural areas. The results of the study show the radical changes in LULC during 1984–2019; the main reasons for this were agricultural expansion and urbanization. From 1984 to 2019, agriculture increased by 62%, urban area increased by 570.5%, and forest decreased by 88.7%. In the same year, the area of shrubland decreased by 68.6%, the area of water decreased by 65.5%, and the area of grassland decreased by 57.7%. In view of the greater increase in agricultural land and urbanization, as well as the decrease in shrubland, it means that the LULC of the region has changed. This research provides valuable information for water resources managers and land-use planners to make changes in the improvement of future LULC policies and development of sub-basin management strategies in the context of sustainable water resources and land-use planning and management.

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Section: Lulc Change Implications For Water Resources Managementmentioning

confidence: 99%

Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management

Daba

Suning

2022

Sustainability

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“…This expansion is emblematic in Sub-Saharan Africa in general and east Africa in particular due to a growing demand for food is forcing an agricultural rise in formerly less developed savannas and woodlands ( Bullock et al., 2021 ). Also, other recent LULC change studies in different parts of the country witnessed the expansion of farmland to the detriment of shrubland and forest land ( Gashaw et al., 2017 ; Minta et al., 2018 ; Belay and Mengistu, 2019 ; Betru et al., 2019 ; Degife et al., 2019 ; Gessesse et al., 2019 ; Abera et al., 2020 ; Hailu et al., 2020 ; Ogato et al., 2021 ; Sisay et al., 2021 ). For instance, Gashaw et al.…”

Section: Resultsmentioning

confidence: 99%

“…This is especially true in Ethiopia, where agriculture is the pillar of the country's economy ( Berihun et al., 2019 ). Recent LULC change studies in various areas of the country observed disparate trends through the increase of cropland at the detriment of forestland in many areas ( Gashaw et al., 2017 ; Minta et al., 2018 ; Betru et al., 2019 ; Degife et al., 2019 ; Gessesse et al., 2019 ; Habte et al., 2021 ; Ogato et al., 2021 ). However, an increasing trend in forest areas was detected due to new plantation sites on degraded hill slopes in few areas of the countryside ( Bantider et al., 2011 ; Gebrelibanos and Assen, 2015 ; Nigussie et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal land use and cover changes across agroecologies and slope gradients using geospatial technologies in Zoa watershed, Southwest Ethiopia

Gitima

Teshome

Kassie

et al. 2022

Heliyon

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Section: Introductionmentioning

confidence: 99%

“…With explosive population growth and rapid economic development, the global land use pattern has experienced obvious change in different periods (Bao et al, 2019; Mundia & Aniya, 2006). The research on land use/cover change should focus on both area and the evolution process using the transition matrix (Gessesse et al, 2019). However, most of the current research focuses on rapid urbanization (Akubia & Bruns, 2019; T. Ma et al, 2019; Mohammad et al, 2019), while landuse changes in alpine‐cold region have received little attention, especially in the Qinghai‐Tibet Plateau (F. Li, Xu, et al, 2013), where was considered by most people that had a relatively stable land use structure with a sparse population, and relatively small proportion of landuse change area.…”

Section: Introductionmentioning

confidence: 99%

Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of theQinghai‐TibetPlateau, China

Zuo

et al. 2021

Land Degrad Dev

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Landscape heterogeneity is a comprehensive reflection of spatial patch and gradient, which is an important feature of landscape pattern. The China land use/cover dataset (CLUD) with 1 km spatial resolution was used in this study to investigate the dynamic changes of land use/cover in the Yarlung Tsangpo River basin (YTRB) of China from 1980 to 2015 through the land use transition matrix and dynamic degrees. The semivariogram model of the study area was constructed at different scales to determine the landscape characteristic scale of the YTRB. The traditional landscape index method and moving window method were used to investigate the watershed landscape pattern at the class and landscape levels, respectively. The results showed that the overall change in land use over the YTRB was not significant during the period 1980-2015, whereas the relative change in each type of land use was significant. Permanent glacier-snow significantly degraded by 22.72%, while built-up areas increased by 106.38%. The degree of the landscape fragmentation and diversity gradually increased from upstream to downstream. The unused land has the highest degree of fragmentation, and the agglomeration degree of urban land patches increased. The result of land use dynamic degree indicated that natural factors were the main causes of changes in land use during the first sub-period 1980-2000, while human activities were the major drivers of changes in land use during the second sub-period 2000-2015. The results can provide important information on the impact of regional development and environmental governance policies on the changes in land use/cover and landscape in Tibet.

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Land use dynamics and base and peak flow responses in the Choke mountain range, Upper Blue Nile Basin, Ethiopia

Cited by 9 publications

References 42 publications

Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management

Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources Management

Spatiotemporal land use and cover changes across agroecologies and slope gradients using geospatial technologies in Zoa watershed, Southwest Ethiopia

Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of theQinghai‐TibetPlateau, China

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