Land use and land cover change, and analysis of its drivers in Ojoje watershed, Southern Ethiopia

Mariye, Mehari; Li, Jianhua; Maryo, Melesse

doi:10.1016/j.heliyon.2022.e09267

Cited by 24 publications

(20 citation statements)

References 85 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different report by researcher in Ethiopia said that Dam construction has been cleaned forest resources by anthropogenic activities which agree with this study [ 11 , 35 , 38 ] studied at in the Tejibara Watershed, Ethiopia. According to research conducted [ 39 ] in A Case Study of Manwan, Lancang River, Yunnan, China, forest land decreased from 1974 to 2004, with a relative ratio of 79.91% in 1974 and decreasing to 59.06% in a 10,000 m buffer, while areas of grass, farmland, and construction land increased dramatically with the variation ratios reaching more than 155.49%, 55.60%, and 90.19%, respectively.…”

Section: Discussionsupporting

confidence: 87%

See 1 more Smart Citation

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Fikadu

2023

Heliyon

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 87%

“…Therefore, from 2010 to 2020 forest land decreased [ 35 ], cultivated land and bare land were also decreased that confirm with research [ 36 ]. The Fincha'a-Amerti-Nashe dams, built at intervals of an average of 1 km, pose many socio-economic and environmental challenges to the region as conducted by Ref.…”

Section: Discussionsupporting

confidence: 79%

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Fikadu

2023

Heliyon

View full text Add to dashboard Cite

“…Simple frequency analyses were used to describe socioeconomic characteristics of households and to review their responses and rankings of drivers of the land use/land cover changes (Mariye et al, 2022). The driving forces of LULC dynamics were analyzed using non-parametric test, speci cally Pearson's Chisquare Test (Alqadhi et al, 2021).…”

Section: Lulc Change Datamentioning

confidence: 99%

Analyze of the socio-economic drivers of land use land cover changes in Western Ethiopia

Bekere,

Senbeta,

Gelaw

2023

Preprint

View full text Add to dashboard Cite

A variety of socioeconomic and environmental factors have contributed to changes in LULC around the world in recent years. This study examines the socioeconomic factors that accelerated LULC in Western, Ethiopia. Data was generated from landsat images and through both primary and secondary sources. Primary data include household survey, field observation, group discussion; key informants’ and interviews. Landsat images classified with supervised classification technique and maximum likelihood classifier through arc GIS 10.3 to develop LULC maps of the study area. Accuracy assessment and kappa coefficient were used to approve the accuracy of the classified LULC, and farm land, settlement, bare land, forest land, and water body were the major LULC classes in the District. Forest cover in three decades (1990–2020) decreased from 12.1% in 1990 to 2.6% in 2020 in the study area. Binary logistic regression model examined the relationship between the (dependent) and the main socioeconomic (independent) variables. A logistic regression was performed to ascertain how independent variables and the driving forces for LULC change (Natural forces or anthropogenic forces) and the model was statistically significant (x2 = 23.971, df = 5, P < 0.001).The model explained 13.9% (Nagelekerke R2) of the variance in the driving forces for LULC dynamics and correctly classified 66.1% of cases. The study identified Age, Gender, Educational status and landholding sizes significantly determine driving forces for LULC dynamics and have the greatest chance to choice the anthropogenic forces. Thus relevant stakeholders should take integrated actions to decrease the driving forces for LULC dynamics through restoration of landscape.

show abstract

“…As a result of the conversion of many forest areas to cultivated lands and settlement areas, such challenges currently produce con icts and have detrimental effects on equitable natural resource sharing among local communities (Ariti et al, 2015;Fentahun & Gashaw, 2014). Similar research on the Ojoje watershed in south-central Ethiopia was also done after studying LULC speci cally related to the watershed (Mariye et al, 2022a). It is crucial to gather thorough, trustworthy, and current information that connects the patterns and main causes of the disturbance of natural resources, and this information is missing from earlier studies of a similar landscape at the study site.…”

Section: Introductionmentioning

confidence: 98%

Investigation of land use and land cover dynamics, drivers, and their consequences in south-central Ethiopia, with special emphasis on the contrasting agro-ecological settings of the Satame and Legabora watersheds

Mariye

Maryo

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Identifying the causes and drivers of land change is one of the main objectives of the land use and cover change investigation. Land use and cover change data are crucial for managing water resources and land preservation. This study examined the trends, driving factors, and implications of land use and land cover dynamics in contrasting agro-ecologies to provide empirical evidence about increases and losses in land use classes. Landsat images of MSS (1976), TM (1991 and 2001), ETM+ (2011), and OLI (2022) were used to study LULC dynamics. To identify the potential driving forces and impacts, field observations, discussions with key informants, analysis of land use policy, and focus group discussions (FGDs) were undertaken. The analysis of remote sensing data revealed that there was an increasing tendency for croplands, settlements, and forest lands at the expense of grasslands and shrublands. In Satame, shrub land and grassland decreased annually by –128.7 and –139.9 ha per year, while grassland and shrub cover reduced annually by –248.2 and –144.5 ha per year in Legabora, respectively. The Local communities perceived agricultural expansion, population growth, settlement expansion, and poverty as the main drivers of LULC changes, while deforestation, land degradation, low production and loss of biodiversity were the major consequences. From this study, it can be inferred that LULC has undergone significant changes over the past 45 years, with both positive and negative impacts. Hence, this study provides a foundation for land management policies and strategies in this watershed and other watersheds facing similar problems.

show abstract

Land use and land cover change, and analysis of its drivers in Ojoje watershed, Southern Ethiopia

Cited by 24 publications

References 85 publications

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Analyze of the socio-economic drivers of land use land cover changes in Western Ethiopia

Investigation of land use and land cover dynamics, drivers, and their consequences in south-central Ethiopia, with special emphasis on the contrasting agro-ecological settings of the Satame and Legabora watersheds

Contact Info

Product

Resources

About