Land use Land cover (LULCC) were analyzed for wombera district along agro-ecological gradients (lower, middle & higher) using a Satellite image of Landsat Mass, Landsat TM, Landsat ETM+, and Landsat OLI/TIRS of 1973, 1986, 2000 and 2016 respectively. After reconnaissance survey and field observations 402 individuals were selected. They were categorized into 6 groups of Key informants interview (KII) and 12 groups Focus Group Discussion (FGD) for structural and open ended questions. One hundred thirty two GPS data were collected using handheld GPS Garmin Global Positioning System for confirmations of accuracy assessment. Five direct and seven indirect driving forces of LULCC were identified for each corresponding agro-ecology gradients for each year. ERDAS version 15, excel, and ArcGIS 10.3.1 used for satellite image calibration and analysis. Maps of Forest, woodland, scrubland, grassland, farmland, water body, and settlement were created. The finding reveals that croplands, settlements, and grasslands are increasing. However, woodland and forest are decreasing from 1973 and 2016. Among the indirect driving forces, Socio-cultural practice and demographics imposed a higher impact in 1970; conversely, institutional setup and technological advancements contribute the highest effect in 2000 &2016. Among the direct or proximate causes, farming activity and fire contribute the highest impact in 1970 in the lower and middle altitude. Farming activities and logging had the highest impact on the higher altitudes during 1970s.
| Published in | International Journal of Environmental Protection and Policy (Volume 9, Issue 5) |
| DOI | 10.11648/j.ijepp.20210905.13 |
| Page(s) | 110-122 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
LULCC, Landsat, Dndirect Driving Force, Direct Driving Force, Population
| [1] | Chrysoulakis, N., Kamarianakis, Y., Farsari, Y., Diamandakis, M. and Prastacos, P. (2004) Combining Satellite and Socioeconomic data for Landuse Model sestimation. In: Goossens. R. (ed.), Proceedings of 3rd Workshop of EARSeLSpecial Interest Group on Remote Sensing for Developing Countries, pp. 66-73. |
| [2] | FAO, Classification Concepts and User Manual. In Land Cover Classification System. (2000). |
| [3] | Oyinloye, R. O and Oloukoi, J. (2013) An assessment of the Pull between Land use and Land cover in Southwestern Nigeria and the Ensuing Environmental Impacts, TS02C - Land use and Land cover – 6685. Abuja, Nigeria. |
| [4] | WIREs Climate Change, (2014). Interactions between Climate Change and Land use Change on Biodiversity: Attribution Problems, Risks, and Opportunities (5): 317–335. |
| [5] | Bryan, B. A. (2013). Incentives, land use, and ecosystem services: synthesizing complex linkages. Environmental science & policy, 27, 124-134. |
| [6] | Costanza, R., de Groot, R., Sutton, P., Van der Ploeg, S., Anderson, S. J., Kubiszewski, I., Farber, S., & Turner, R. K. (2014). Changes in the global value of ecosystem services. Global environmental change, 26, 152-158. |
| [7] | Jamal, J. A. (2012). Dynamic land use/land cover change modeling geostimulating and multiagent-based modeling 140: 978-3-642-23704-1. |
| [8] | Lambin, E. F. and Geist, H. J. (eds.),(2006). Land-Use and Land- Cover Change, Local Process and Global impacts. Pp. 71-116. |
| [9] | Ellis E, Pontius Jr RG (2006) land-use and land-cover change—encyclopedia of earth. |
| [10] | Valbuena D, Verburg PH, Bregt AK (2008) A method to define a typology for agent-based analysis in regional land-use research. Agric Ecosyst Environ 128 (1–2): 27–36. |
| [11] | Rindfuss, R. R., Walsh, S. J., Fox, J., Mishra, V., (2004). Developing the sciences of land change: challenges and methodological issues. Providing Natl. Acad. Sci. USA 101, 13976–13981. |
| [12] | Rawat, J., & Kumar, M. (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 Science, 18, 77-84. |
| [13] | Bewket, W. (2002. Land cover dynamics since the 1950s in Chemoga watershed, Blue Nile basin, Ethiopia. Mt. Res. Dev. 22, 263. 269. |
| [14] | Tsegaye, D. (2010). Land-use/cover dynamics in Northern Afar rangelands, Ethiopia. Agriculture, Ecosystems and Environment 139 (2010) 174–180. |
| [15] | Gong, J., Yang, J., & Tang, W. (2015). Spatially explicit landscape-level ecological risks induced by land use and land cover change in a national ecologically representative region in China. International journal of environmental research and public health, 12, 14192-14215. |
| [16] | Bakker MM, van Doorn AM (2009) Farmer-specific relationships between land use change and landscape factors: introducing agents in empirical land use modelling. Land Use Policy 26 (3): 809–817. |
| [17] | Geist, H. J. and Lambin, E. F. (2002). Proximate Causes and Underlying Driving Forcesof Tropical Deforestation. BioScience 52 (2): 143-150. |
| [18] | De Sherbinin, A. (2002). Land-Use and Land-Cover Change, A CIESIN Thematic Guide, Palisades, NY. Center for International Earth Science Information Network of Columbia University. |
| [19] | Lambin, E. F. and Geist, H. J. (2003). Global land-use and land-cover change: what have we learned so far? Global Change News Letter (46): 27-30. |
| [20] | Lambin, E. F. and Geist, H. J. (2007). Causes of land-use and land-cover change. Retrievedfromhttp://www.eoearth.org/view/article/51cbed2f7896bb431f6905af. |
| [21] | Edwards, S., Kelbessa, E., 1999. Indicators to determine the level of threat to tree species. In: Edwards, S., Demissie, A., Bekele, T., Haase, G. (Eds.), Forest Genetic Resources Conservation: Principles, Strategies, and Actions. Proceedings of the National Forest Genetic Resources Conservation Strategy Development Workshop. Addis Ababa: Institute of Biodiversity Conservation and Research, pp. 101–133. |
| [22] | Shiferaw, A. 2011. Evaluating the Land Use and Land Cover Dynamics in Borena Woreda of South Wollo Highlands, Ethiopia. Journal of Sustainable Development in Africa 13 (1): 87-107. |
| [23] | Weng, Q. 2002. Land Use Change Analysis in the Zhujiang Delta of China Using Satellite Remote Sensing, GIS and Stochastic Modeling. Journal of Environmental Management (64): 273–284. |
| [24] | Poyatos, R., Jerome Latron, J., Lorens, P., (2003). Land use and land cover change after agricultural abandonment. Mt. Res. Dev. 23, 362-368. |
| [25] | Kindu, M., Schneider, T., Teketay, D., Knoke, T., (2013). Land use/land cover change analysis using object-based classification approach in the Munessa-Shashemene landscape of the Ethiopian highlands. Remote Sens. 5, 2411–2435. |
| [26] | Tegene, B. (2002). Land-cover/land-use changes in the Derekolli catchment of the South Welo zone of Amhara region, Ethiopia. East. Afr. Soc. Sci. Res. Rev. 18, 1–20. |
| [27] | Fisseha, G. et al. (2011). Analysis of land use/land cover changes in the Debre-Mewi watershed at the upper catchment of the Blue Nile Basin, Northwest Ethiopia. Journal of Biodiversity and Environmental Sciences (JBES) Vol. 1, No. 6, p. 184-198. |
| [28] | Kidane, Y., Stahlmann, Beierkuhnlein, C. (2011). Vegetation dynamics, and land use and land coverchange in the Bale Mountains, Ethiopia Department of Biogeography, University of Bayreuth, Universitaetsstr. 30, and 95440 Bayreuth, Germany. |
| [29] | Zeleke, G., Hurni, H. (2001). Implications of land use and land cover dynamics for mountain resource degradation in the Northwestern Ethiopian highlands. Mt. Res. Dev. 21, 184–191. |
| [30] | Tekle, K., Hedlund, L. (2000). Land cover changes between 1958 and 1986 in Kalu district, South Wello, and Ethiopia. Mt. Res. Dev. 21, 42–51. |
| [31] | Mekuria, W. et al. (2011). Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia. Remote Sens., 3, 752-766. |
| [32] | Friis, I., Sebsebe, D., Breugel, P. V., (2010). Atlas of the potential vegetation of Ethiopia. Det. Kongelige Danske Videnskabernes Selska. |
| [33] | Berhanu, A., Demissew, S., Woldu, Z. et al. (2017). Woody species composition and structure of Kuandishaafromontane forest fragment in northwestern Ethiopia. J. For. Res. 28, 343–355. |
| [34] | National Meteorological Services Agency (NMSA) (2019). Climate data records for the study area obtained from the National Meteorological Services Agency, Ethiopia, Addis Ababa. |
| [35] | Mezgebu, A., Workineh, G. (2017). Changes and drivers of afro-alpine forest ecosystem: future trajectories and management strategies in Bale eco-region, Ethiopia. Ecol Process 6, 42. |
| [36] | http://earthexplorer.usgs.gov. |
| [37] | Fenta, A. A., Yasuda, H., Haregeweyn, N., Belay, A. S., Hadush, Z., Gebremedhin, M. A., Mekonnen, G. (2017). The dynamics of urban expansion and land use/land cover changes using remote sensing and spatial metrics: the case of Mekelle city of northern Ethiopia. Int. J. Remote Sens. 38, 4107–4129. |
| [38] | Campbell, J. B., Wynne, R. H. (2011). Introduction to Remote Sensing. Guilford Press, Spring Street New York. |
| [39] | Othow, OO, Gebre SL, Gemeda DO (2017) Analyzing the Rate of Land Use and Land Cover Change and Determining the Causes of Forest Cover Change in Gog District, Gambella Regional State, Ethiopia. J Remote Sensing & GIS 6: 219. |
| [40] | Congalton, R. G. and Green, K. (1999). Assessing the accuracy of remotely sensed data: principles and practices. Lewis Publishers. |
| [41] | Lillesand, M. T., KIefer, W. R. and Chipman, N, J. (2008). Remote sensing and image interpretation (6th ed). John Wiley and Sons, Inc, New York. |
| [42] | Ali, H. (2009). Land use and land cover change, drivers and its impact: a comparative study from kuhar Michael and lenchedima of blue Nile and A wash basins of Ethiopia. MSC. Thesis. Cornell University, in regional land-use research. Agric Ecosyst Environ 128 (1–2): 27–36. |
| [43] | Kabba, V. T. S., & Li, J. (2011). Analysis of land use and land cover changes, and their ecological implications in Wuhan, China. Journal of Geography and Geology, 3, 104. |
| [44] | Lambin, E. F., Geist, H. J. and Lepers, E. (2003). Dynamics of land-use and land-cover change in Tropical regions. Annual Review of Environment and Resources 28 (1): 205-241. |
| [45] | Elias, E., Seifu, W., Tesfaye, B. and Girmay, W. (2018). Land Use Land Cover Changes and their impact on the lake ecosystem of the Central Rift Valley of Ethiopia. Preprints (www.preprints.org). |
| [46] | Tadesse, L., et al. International Soil and Water Conservation Research (2017) International Soil and Water Conservation Research, 5, 85–94. |
| [47] | Ariti, A. T., J. v. V., &, P. H. V. (2015). Land-use and land-cover changes in the Central Rift Valley of Ethiopia: Assessment of perception and adaptation of stakeholders. Applied Geography, 65, 28–37. |
| [48] | Daniel A. M, Daniel K. W, & Muluneh W. (2012). Detection and analysis of land-use and land-cover changes in the Midwest escarpment of the Ethiopian Rift Valley. Journal of Land Use Science, 7, 239–260. |
| [49] | Assefa, E., & Bork, H.-R. (2016). Dynamics and driving forces of agricultural landscapes in Southern Ethiopia–a case study of the Chencha and Arbaminch areas. Journal of Land Use Science, 11, 278–293. |
| [50] | Nune, s., Soromessa, T., and Teketay, D. (2017) Land Use and Land Cover Change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015. Academic editor Andrew Millington, MDPI. |
| [51] | Woldu, Z. (1988). Birds and bird-strike at Bole International Airport, Addis Ababa, Ethiopia, Proceedings of the Pan-African Ornithological Congress, Nairobi, Kenya, 28 August-5September, pp 311-315. |
| [52] | Ettema D, De Jong K, Timmermans H, Bakema A (2007) PUMA: multi-agent modelling of urban systems. In modelling land-use change. The geojournal library. Springer, Netherlands, pp 237–258. |
| [53] | Berke, P., & Kaiser, E. J. (2006). Urban land use planning. University of Illinois Press. |
| [54] | Mark, M. and Muringaniza, Kudakwashe. (2010). Rate of land-use/ land-cover changes in shurugwi district, Zimbabwe: drivers for change. Journal of Sustainable Development in Africa (Volume 12, No. 3, 1520-5509. |
APA Style
Girma Gudesho, Zerihun Woldu. (2021). Land Use, Land Cover Changes and Their Driving Force in Wombera District, Benshangul Gumuz Regional State, Ethiopia. International Journal of Environmental Protection and Policy, 9(5), 110-122. https://doi.org/10.11648/j.ijepp.20210905.13
ACS Style
Girma Gudesho; Zerihun Woldu. Land Use, Land Cover Changes and Their Driving Force in Wombera District, Benshangul Gumuz Regional State, Ethiopia. Int. J. Environ. Prot. Policy 2021, 9(5), 110-122. doi: 10.11648/j.ijepp.20210905.13
AMA Style
Girma Gudesho, Zerihun Woldu. Land Use, Land Cover Changes and Their Driving Force in Wombera District, Benshangul Gumuz Regional State, Ethiopia. Int J Environ Prot Policy. 2021;9(5):110-122. doi: 10.11648/j.ijepp.20210905.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijepp.20210905.13,
author = {Girma Gudesho and Zerihun Woldu},
title = {Land Use, Land Cover Changes and Their Driving Force in Wombera District, Benshangul Gumuz Regional State, Ethiopia},
journal = {International Journal of Environmental Protection and Policy},
volume = {9},
number = {5},
pages = {110-122},
doi = {10.11648/j.ijepp.20210905.13},
url = {https://doi.org/10.11648/j.ijepp.20210905.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20210905.13},
abstract = {Land use Land cover (LULCC) were analyzed for wombera district along agro-ecological gradients (lower, middle & higher) using a Satellite image of Landsat Mass, Landsat TM, Landsat ETM+, and Landsat OLI/TIRS of 1973, 1986, 2000 and 2016 respectively. After reconnaissance survey and field observations 402 individuals were selected. They were categorized into 6 groups of Key informants interview (KII) and 12 groups Focus Group Discussion (FGD) for structural and open ended questions. One hundred thirty two GPS data were collected using handheld GPS Garmin Global Positioning System for confirmations of accuracy assessment. Five direct and seven indirect driving forces of LULCC were identified for each corresponding agro-ecology gradients for each year. ERDAS version 15, excel, and ArcGIS 10.3.1 used for satellite image calibration and analysis. Maps of Forest, woodland, scrubland, grassland, farmland, water body, and settlement were created. The finding reveals that croplands, settlements, and grasslands are increasing. However, woodland and forest are decreasing from 1973 and 2016. Among the indirect driving forces, Socio-cultural practice and demographics imposed a higher impact in 1970; conversely, institutional setup and technological advancements contribute the highest effect in 2000 &2016. Among the direct or proximate causes, farming activity and fire contribute the highest impact in 1970 in the lower and middle altitude. Farming activities and logging had the highest impact on the higher altitudes during 1970s.},
year = {2021}
}
TY - JOUR T1 - Land Use, Land Cover Changes and Their Driving Force in Wombera District, Benshangul Gumuz Regional State, Ethiopia AU - Girma Gudesho AU - Zerihun Woldu Y1 - 2021/10/30 PY - 2021 N1 - https://doi.org/10.11648/j.ijepp.20210905.13 DO - 10.11648/j.ijepp.20210905.13 T2 - International Journal of Environmental Protection and Policy JF - International Journal of Environmental Protection and Policy JO - International Journal of Environmental Protection and Policy SP - 110 EP - 122 PB - Science Publishing Group SN - 2330-7536 UR - https://doi.org/10.11648/j.ijepp.20210905.13 AB - Land use Land cover (LULCC) were analyzed for wombera district along agro-ecological gradients (lower, middle & higher) using a Satellite image of Landsat Mass, Landsat TM, Landsat ETM+, and Landsat OLI/TIRS of 1973, 1986, 2000 and 2016 respectively. After reconnaissance survey and field observations 402 individuals were selected. They were categorized into 6 groups of Key informants interview (KII) and 12 groups Focus Group Discussion (FGD) for structural and open ended questions. One hundred thirty two GPS data were collected using handheld GPS Garmin Global Positioning System for confirmations of accuracy assessment. Five direct and seven indirect driving forces of LULCC were identified for each corresponding agro-ecology gradients for each year. ERDAS version 15, excel, and ArcGIS 10.3.1 used for satellite image calibration and analysis. Maps of Forest, woodland, scrubland, grassland, farmland, water body, and settlement were created. The finding reveals that croplands, settlements, and grasslands are increasing. However, woodland and forest are decreasing from 1973 and 2016. Among the indirect driving forces, Socio-cultural practice and demographics imposed a higher impact in 1970; conversely, institutional setup and technological advancements contribute the highest effect in 2000 &2016. Among the direct or proximate causes, farming activity and fire contribute the highest impact in 1970 in the lower and middle altitude. Farming activities and logging had the highest impact on the higher altitudes during 1970s. VL - 9 IS - 5 ER -
Email: