Spatiotemporal dynamics of land use/land cover changes and its drivers in Bilate watershed, central rift valley, Ethiopia
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Published
Mar 9, 2023
Mohammed Seid
Simon Shibru
Serekebirhan Takele
Dikaso Unbushe
Shetie Gatew
https://orcid.org/0000-0003-2673-3272
Serekebirhan Takele
Dikaso Unbushe
Shetie Gatew
Abstract
Land use/land cover (LULC) changes influence the ecological function, consequence on ecosystem services, which are tightly linked to human wellbeing. However, quantification of the LULC changes and identifying the underlying factors remain patchy particularly in developing nations, despite this information is crucial to propose a feasible restoration action. Therefore, this study investigates the land use/land cover changes and its drivers in central Rift Valley, Ethiopia. GIS and Remote sensors i.e. Landsat 5 (TM), and Landsat 8 (OLI/TIRs) imagery sensors acquired from USGS, and field observation were used. Using the supervised classification method and the support of ArcGIS 10.5 and ERDAS IMAGINE 2014, all images were classified into various land cover types. Focus group discussions, key informant interviews, and structured questionnaire surveys were used to investigate the drivers of LULC change. NDVI was used to detect the vegetation cover change. Woodland, grassland, and barren lands were the major LULC types identified in this study. After 28 years, the woodland cover increased from 20.6% to 40.2% whereas the barren land decreased from 43.4% to 22.6%. Grassland showed very slight increment, i.e. from 35.9% to 36.9%. This implies that area enclosure plays a significant role in the restoration of degraded lands. The highest NDVI values (0.6) were determined in the year 2022 at the end of the classification. Focus group discussants and key informants confirmed that human-induced factors were the major drivers of LULC changes in the study area. Our findings indicated that human interventions are the key determinants of land use/land cover dynamics, and as a result, enforcement of the law and public education campaigns to change human behavior in support of the area enclosure approach are essential to restoring degraded land for the benefit and wellbeing of humans and nature while also advancing the achievement of the global goals.
How to Cite
Seid, M., Shibru, S., Takele, S., Unbushe, D., & Gatew, S. (2023). Spatiotemporal dynamics of land use/land cover changes and its drivers in Bilate watershed, central rift valley, Ethiopia. Environment Conservation Journal, 24(2), 32–47. https://doi.org/10.36953/ECJ.14322445
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Keywords
Area enclosure, Conservation, Landsat images, Restoration, Vegetation cover
References
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Fikadu, A., & Argaw, M. (2021). Impact of exclosures on woody species diversity in degraded lands: the case of Lemo in Southwestern Ethiopia. Heliyon, 7(4), e06898.
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Food, Land, A. O. o. t. U. N., & Division, W. D. (2003). Digital soil map of the world and derived soil properties. FAO, Land and Water Development Division.
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Gebregziabher, D., & Soltani, A. (2019). Exclosures in people’s minds: Perceptions and attitudes in the Tigray region, Ethiopia. Forest Policy and Economics, 101, 1-14.
Gebrehiwot, K., Teferi, E., Woldu, Z., Fekadu, M., Desalegn, T., & Demissew, S. (2021). Dynamics and drivers of land cover change in the Afroalpine vegetation belt: Abune Yosef mountain range, Northern Ethiopia. Environment, Development and Sustainability, 23(7), 10679-10701.
Gebreselassie, S., Kirui, O. K., & Mirzabaev, A. (2016). Economics of land degradation and improvement in Ethiopia. In Economics of land degradation and improvement–a global assessment for sustainable development (pp. 401-430). Springer, Cham.
Ghorbani, A., Mossivand, A. M., & Ouri, A. E. (2012). Utility of the Normalized Difference Vegetation Index (NDVI) for land/canopy cover mapping in Khalkhal County (Iran). Annals of Biological Research, 3(12), 5494-5503.
Giri, C. P. (2012). Remote sensing of land use and land cover: principles and applications. CRC press.
Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117-124.
Helbich, M. (2019). Spatiotemporal contextual uncertainties in green space exposure measures: exploring a time series of the normalized difference vegetation indices. International journal of environmental research and public health, 16(5), 852.
Kasim, M., Assfaw, Z., Derero, A., Melkato, M., & Mamo, Y. (2015). The role of area closure on the recovery of woody species composition on degraded lands and its socio-economic importance in central Rift valley area, Ethiopia. Int J Dev Res, 5, 3348-3358.
Kassaye Mekonen, M., Abiyu Hailu, A., & Alemu Abitew, A. (2022). Social and Institutional Status of Area Exclosure in North Wollo and Waghemira Zones, Northeastern Ethiopia. International Journal of Forestry Research, 2022.
Kidane, Y., Stahlmann, R., & Beierkuhnlein, C. (2012). Vegetation dynamics, and land use and land cover change in the Bale Mountains, Ethiopia. Environmental monitoring and assessment, 184(12), 7473-7489.
Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2013). Land use/land cover change analysis using object-based classification approach in Munessa-Shashemene landscape of the Ethiopian highlands. Remote sensing, 5(5), 2411-2435.
Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2015). Drivers of land use/land cover changes in Munessa-Shashemene landscape of the south-central highlands of Ethiopia. Environmental monitoring and assessment, 187(7), 1-17.
Larjavaara, M., & Muller-Landau, H. C. (2010). Comparison of decay classification, knife test, and two penetrometers for estimating wood density of coarse woody debris. Canadian Journal of Forest Research, 40(12), 2313-2321.
Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation. John Wiley & Sons.
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