Anthropogenic impact on land use land cover: influence on weather and vegetation in Bambasi Wereda, Ethiopia
Land Use Land Cover Changes (LULCC) has impacts on a wide range of environmental and landscape attributes including the quality of land, water and air. The main objective of this study was to analysis the impact of anthropogenic activities and LULCC on weather (rainfall and temperature) and vegetation in the study area over a period of 28 years. The study has employed temporal LANDSAT sensors data to identify the changes in LULC and Vegetation Indices through anthropogenic influence. Moreover, statistical analysis of temperature and rainfall data (1985–2015) has also been done of Bambasi station. It has been found that the average temperature has been increased approximately 2.2 °C and the average rainfall amount was declined throughout the period. The drastic changes have been noticed in LULC, vegetation health and its area through NDVI during the first interval (1987–2001) but the land change growth was less in second interval (2001–2015). The increasing population, urbanization and resettlement scheme for refugees were the responsible factors for changes. This case study indicates that the impact of anthropogenic activities leads the change in LULC and the climate has been influenced or vice versa over the time period in this semi-arid region of Ethiopia.
KeywordsLULCC NDVI Anthropogenic Mirco-climate Bambasi Wereda
The authors are thankful to Meteorological agency for providing a weather data for analysis. We are grateful to Central Statistical Agency (CSA) for providing population data and other important information required for the data interpretation. We highly acknowledge the valuable comments given by reviewers. This research is a part of M.Sc. dissertation, therefore no fund has been provided.
Compliance with ethical standards
Conflict of interest
All authors declare that there is no conflict of interest.
- 3.IPCC. (2000). Special report on land use, land use change and forestry. Cambridge: Cambridge University Press.Google Scholar
- 6.Zubair, A. O. (2006). Change detection in land use and land cover using remote sensing data and GIS (A case study of Ilorin and Its Environs in Kwara State.). Matric No. 131025.Google Scholar
- 7.Gurmessa, F. (2015). Forest loss and climate change in Ethiopia. Research Journal of Agriculture and Environmental Management. ISSN 2315 – 8719. Apex Journal International, 4(5), 216–224.Google Scholar
- 8.Forum, A. P. (2007). Climate change and Africa. In 8th meeting of the Africa partnership forum, Berlin, Germany (p. 28).Google Scholar
- 14.Vink, A. P. A. (1975). Land use in advancing agriculture. Series-Advanced series in agricultural sciences. Springer 1. ISBN: 978-3-642-66051-1.Google Scholar
- 16.McConnell, W. (2001). How and why people and institutions matter beyond economy: People and trees in Madagascar. Global Change (IGBP) New Letter, 47, 20–22.Google Scholar
- 17.United Nations Environment Programme Ethiopia (UNEP). (2012). Capacity building for access and benefit sharing and conservation and sustainable use of medicinal plants (Ethiopia ABS CSUMP) www.cbd.int/doc/meetings/abs/abswg-06/information/abswg-06-inf-04-rev1-en.doc.
- 18.U.S Geological survey Virginia. (2012). National climate assessment technical report on the impacts of climate and land use and land cover change. USGS. pubs.usgs.gov/of/2012/1155/of2012-1155.pdf.
- 19.REDD+. (2015). Study of causes of deforestation and forest degradation in Ethiopia and the identification and prioritization of strategic options to address those. The Federal Democratic Republic of Ethiopia. www.forestcarbonpartnership.org/sites/fcp/files/2015/October/TOR%20DD.pdf.
- 23.Fu, C. (2003). Potential impacts of human-induced land cover change on East Asia monsoon. Global Planet Change, 37, 219–229.Google Scholar
- 27.Woodwell, G. H., Hobbie, J. E., Houghton, R. A., Mellio, J. H., Peterson, B. J., Shaver, G. R., et al. (1983). Deforestation measured by Landsat: Steps toward a method DOE/EV 10468 NTTS (p. 62). VA: Spring field.Google Scholar
- 29.Anderson, J. R. (1971). Land use classification schemes used in selected recent geographic applications of remote sensing. Photogrammetry Engineering, 27(4), 379–387.Google Scholar
- 31.Peng, L., Jiang, L., & Feng, Z. (2014). Cross-comparison of vegetation indices derived from Landsat-7 enhanced thematic mapper plus (ETM+) and Landsat-8 operational land imager (OLI) sensors. Remote Sensing, 6(1), 310–329.Google Scholar
- 36.Anderson, J. R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper, 964. A revision of land use classification system as presented in USGS circular, 671.Google Scholar
- 38.IFRC (Population Movements Ethiopia). (2012). Population Movements report, Nov 2011 to April 2012. www.ifrc.org.
- 39.Central Statistical Agency (CSA) Addis Ababa. (2008). Summary and Statistical Report of 2007 population & housing census. www.csa.gov.et/newcsaweb/images/documents/surveys/Population%20and%20Housing%20census/ETH-pop-2007/survey0/data/Doc/Reports/National_Statistical.pdf.
- 40.FARM-Africa and Sahel, S.O.S. (2011). Strengthening Sustainable Livelihoods and Forest Management Programme (SSLFM). Annual report (Jan 2011 to Dec 2011). https://www.farmafrica.org/downloads/sslfm-2010-report.pdf.