Land use land cover change detection in Gibe Sheleko National Park, Southwestern Ethiopia

Purpose. The main aim of the study was to assess land use land cover change detection (LULCC) from 1990 to 2016 in case of Gibe Sheleko National Park (GSNP), Southwestern Ethiopia. Methodology / approach. Multi-temporal Landsat images and topographic map were acquired in 2016. Field observation using GPS was carried out to generate the ground truth points for image classification and accuracy assessment from December 2016 to June 2017. A total 200 GPS points were purposively collected. The data were analysis by using ERDAS IMGINE 2010 and ArcGIS 10.3.1 software. Supervised classification was carried out to identify the overall land use land cover class. Results. Forest land was rapidly declined with average of 478.5 ha/year for the last 27 years. This revealed that over 66.8 % of forest was diminished from 1990 to 2016 due to anthropogenic factors in the study area. Bush & shrub land was upraised from 12600 ha (31.5 %) to 20600 ha (51.5 %) from 1990 to 2016. Grazing land and bare land was also showed an increment of 3500 ha and 2240 ha with average increment of 134.6 ha/year and 86.5 ha/year respectively from 1990 to 2016. This indicated as most forest land was changed in to bush & shrub land due to human induced factors. Hence, it brings negative effects on the wildlife conservation and socio-economic development. Originality / scientific novelty. This study is orginal research finding by employ above indicated methedology and stated the last 27 years land use land cover change of Gibe Sheleko National Park for fist time. It also discovered that the rate of land use land cover change in the study area for the past 27 years. Practical value / implications. The main results of the study of land cover change can be used to ensure planning to be sustainable and integrated management of the natural resources. Participatory management practice should be implemented in the study area to regenerate the changed land use type.


Issue Date:
Dec 20 2018
Publication Type:
Journal Article
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/281757
ISSN:
2414-584X
Language:
English
Published in:
Agricultural and Resource Economics: International Scientific E-Journal, 4, 4
Page range:
20-30
JEL Codes:
Q10; Q15; Q57




 Record created 2019-01-27, last modified 2020-10-28

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