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Anthropogenic impact on land use land cover: influence on weather and vegetation in Bambasi Wereda, Ethiopia

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Abstract

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.

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References

  1. Lambin, E. F., Rounsevell, M. D. A., & Geist, H. J. (2000). Are agricultural land-use models able to predict changes in land-use intensity? Agriculture, Ecosystems & Environment, 82(1–3), 321–331.

    Article  Google Scholar 

  2. Vitousek, P. M. (1992). Global environmental change: An introduction. Annual Reviews of Ecology and Systematics, 23, 1–14.

    Article  Google Scholar 

  3. IPCC. (2000). Special report on land use, land use change and forestry. Cambridge: Cambridge University Press.

    Google Scholar 

  4. Melillo, J. M., McGuire, A. D., Kickkighter, D. W., Moore, B., Vorosmarty, C. J., & Chloss, A. L. (1993). Global climate change and terrestrial net primary production. Nature, 363, 234–240.

    Article  Google Scholar 

  5. Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., & Bruce, J. W. (2001). The causes of land-use and land-cover change: Moving beyond the myths. Global Environment Change, 11, 261–269.

    Article  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.

  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.

  8. Forum, A. P. (2007). Climate change and Africa. In 8th meeting of the Africa partnership forum, Berlin, Germany (p. 28).

  9. Nicholson, S. E., & Farrar, T. J. (1994). The influence of soil type on the relationship between NDVI, rainfall and soil moisture in semi-arid Botswana. I. Response to rainfall. Remote Sensing Environment, 50, 107–120.

    Article  Google Scholar 

  10. Yang, L., Wylie, B., Tieszen, L. L., & Reed, B. C. (1998). An analysis of relationships among climate forcing and time integrated NDVI of grassland over the U.S. Northern and Central Great Plains. Remote Sensing Environment, 65, 25–37.

    Article  Google Scholar 

  11. Richard, Y., & Poccard, I. (1998). A statistical study of NDVI sensitivity to seasonal and inter annual rainfall variations in Southern Africa. International Journal of Remote Sensing, 19(15), 2907–2920.

    Article  Google Scholar 

  12. Li, J., Lewis, J., Rowland, J., Tappan, G., & Tieszen, L. L. (2004). Evaluation of land performance in Senegal using multi-temporal NDVI and rainfall series. Journal of Arid Environments, 59, 463–480.

    Article  Google Scholar 

  13. Webb, T. J., Woodward, F. I., Hannah, L., & Gaston, J. K. (2005). Forest cover-rainfall relationships in a biodiversity hotspot: The Atlantic forest of Brazil. Ecological Applications, 15, 1968–1983.

    Article  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.

  15. Seto, K. C., Woodcock, C. E., Song, C., Huang, X., Lu, J., & Kaufmann, R. K. (2002). Monitoring land use change in the Pearl River delta using LANDSAT TM. International Journal of Remote Sensing, 23(10), 1985–2004.

    Article  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.

  20. Chase, T. N., Pielke, R. A., & Kittel, T. G. F. (2000). Simulated impacts of historical land cover changes on global climate in northern winter. Climate Dynamics, 16, 93–105.

    Article  Google Scholar 

  21. Chen, G. S., Notaro, M., Liu, Z., & Liu, Y. (2012). Simulated local and remote biophysical effects of afforestation over the southeast United States in boreal summer. Journal of Climate, 25, 4511–4522. https://doi.org/10.1175/JCLI-D-11-00317.1.

    Article  Google Scholar 

  22. Fu, Y., Lu, X., Zhao, Y., Zeng, X., & Xia, L. (2013). Assessment Impacts of Weather and Land Use/Land Cover (LULC) change on urban vegetation net primary productivity (NPP): A case study in Guangzhou. China Remote Sensing, 5, 4125–4144. https://doi.org/10.3390/rs5084125.

    Article  Google Scholar 

  23. Fu, C. (2003). Potential impacts of human-induced land cover change on East Asia monsoon. Global Planet Change, 37, 219–229.

    Google Scholar 

  24. Dirmeyer, P. A., Niyogi, D., & De Noblet-Ducoudré, N. (2010). Impacts of land use change on climate. International Journal of Climatology, 30, 1905–1907. https://doi.org/10.1002/joc.2157.

    Article  Google Scholar 

  25. Fan, F., Weng, Q., & Wang, Y. (2007). Land use land cover change in Guangzhou, China from 1998 to 2003, based on LANDSAT TM/ETM + imagery. Sensor, 7, 1323–1342.

    Article  Google Scholar 

  26. Prenzel, B. (2004). Remote sensing based quantification of land cover and land use change for planning. Progress in Planning, 61, 281–299.

    Article  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 

  28. Wu, W., & Shao, G. (2002). Optimal combinations of data, classifiers, remote sensing. Canadian Journal of Remote Sensing, 28(4), 601–609.

    Article  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 

  30. Julien, Y., Sobrino, J. A., & Jeminez-Munoz, J. C. (2011). Land use classification from multi-temporal Landsat imagery using the yearly land cover dynamics (YLCD) method. International Journal of Applied Earth Observation and Geoinformation, 13(5), 711–720.

    Article  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 

  32. Rawat, J. S., & Manish, K. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Sciences, 18(1), 77–84.

    Article  Google Scholar 

  33. Tran, H., Tran, T., & Kervyn, M. (2015). Dynamics of Land Cover/Land Use Changes in the Mekong Delta, 1973–2011: A remote sensing analysis of the Tran Van Thoi District, Ca Mau Province, Vietnam. Remote Sensing, 7, 2899–2925. https://doi.org/10.3390/rs70302899.

    Article  Google Scholar 

  34. 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. https://doi.org/10.3390/rs5052411.

    Article  Google Scholar 

  35. Congalton, R. G. (1991). A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment, 27, 35–46.

    Article  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.

  37. Wu, X., Shen, Z., Liu, R., & Ding, X. (2008). Land use/cover dynamics in response to changes in environmental and socio-political forces in the upper reaches of the Yangtze River, China. Sensors, 8(12), 8104–8122.

    Article  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.

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Acknowledgements

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.

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Authors and Affiliations

  1. College of Engineering and Technology, Aksum University, P.O. Box: 1010, Aksum, Ethiopia

    Tamam Emiru

  2. Department of Geomatics Engineering (SoCEA), Adama Science and Technology University, P.O. Box: 1888, Adama, Ethiopia

    Hasan Raja Naqvi & Mohammed Abdul Athick

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  1. Tamam Emiru
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  2. Hasan Raja Naqvi
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Correspondence to Hasan Raja Naqvi.

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Emiru, T., Naqvi, H.R. & Athick, M.A. Anthropogenic impact on land use land cover: influence on weather and vegetation in Bambasi Wereda, Ethiopia. Spat. Inf. Res. 26, 427–436 (2018). https://doi.org/10.1007/s41324-018-0186-y

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