January 6, 2025 Thesis Open Access

BEKELE KEBEDE YEWALASHET

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        <foaf:name>BEKELE KEBEDE YEWALASHET</foaf:name>
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            <foaf:name>MADDA WALABU UNIVERSITY</foaf:name>
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    <dct:title>EFFECT OF RESETTLEMNT PROGRAM ON FOREST RESOURCES: THE CASE OF NANSEBO WOREDA, WEST ARSI ZONE, OROMIA NATIONAL REGIONAL STATE, ETHIOPIA</dct:title>
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    <dcat:keyword>Resettlement, Forest Cover Change, Drivers, Nensebo Woreda</dcat:keyword>
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        <foaf:name>NIGATU SAMUEL (Ph.D.)</foaf:name>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-01-06</dct:issued>
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    <dct:description>&lt;p&gt;Ethiopia has a long history of practicing population resettlement either spontaneously or in a planned way to overcome the problem of chronic food insecurity in the country. The major aim of this study was to assess the effects of resettlement program on the forest resource in Nensebo Woreda, West Arsi Zone of Oromia Regional State, Ethiopia. For this study the exploratory case study design with a mixed research methods were employed. A total of 353 households which 21 2 from resettlers and 1 41 from the Natives people were selected from three kebeles using stratified sampling technique. In addition, socio-economic data were&amp;nbsp;collected via household survey, Key informant interviews (KII), Focus Group Discussion (FGD) and field observations. Four years&amp;rsquo; temporal satellite images (1 986, 2003, 201 3 and 2023) over the last 34 years, integrated with in situe field survey was used to assess the LULC change dynamics. A supervised classification with the maximum likelihood classifier was used to classify the images and classified into six major land use types (bare land, cropland, forest, grassland, settlement and shrub/woodland). The main finding of this study revealed that Nensebo Woreda has experienced a large forest cover change since population resettlement in the area. Because of this unplanned and unregulated forest cuttings and land cover changes within the study area have had an impact on land degradation. Results from the land use/cover changes analysis showed that the study area has undergone a dynamic increase and reduction in LULC extent during monitoring periods. Accordingly, during the 34-year period the proportion of area covered by forestland, shrub/woodland, grassland and bare land cover were declining continuously by 1 5.7%,9.7%, 3.4% and 0.2% respectively amid 1 986-2023. In contrast, cropland and settlement areas have increased dramatically by 20.7% and 8.3% % respectively over the study period. The results of LULC conversion matrix discovered that the significant portion of forests (29.7%), shrub/woodland (1 6.1 %) and grasslands (1 0%) of was converted to the cropland with an estimated total area of (55.7%) amid 1 986 and 2023. Forest cover changes in the study area is an outcome of several proximate and underlying drivers. The major proximate driving forces of forest cover change in the study area are commercial agricultural expansion, infrastructural development, fuel wood extractions and population growth., poverty, land scarcity and weak law enforcement factors constitute the major underlying drivers of forest cover change in the study area. Thus, the need for participatory forest management and providing environmental education for the local people in the sustainable management of wood land resources is important to safeguard the dry forests. Therefore, the study calls for coordinated efforts for resources use and management at different levels, land use policy formulation, devising alternative sources of livelihoods and fuel, regulating migration and involvement of the wider community in policy formulation and implementations. 4&lt;br&gt; &amp;nbsp;&lt;/p&gt;</dct:description>
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