Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia
Abstract Background Forest plays an important role in climate regulation and carbon sequestration. Komto Forest is one of the remnant natural forests found in Guto Gida district of East Wollega zone, Ethiopia, has been supporting the local community for construction, energy and household furniture....
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Format: | Article |
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SpringerOpen
2020-01-01
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Series: | Environmental Systems Research |
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Online Access: | https://doi.org/10.1186/s40068-020-0163-z |
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author | Milkessa Dangia Negassa Demissie Tsega Mallie Dessalegn Obsi Gemeda |
author_facet | Milkessa Dangia Negassa Demissie Tsega Mallie Dessalegn Obsi Gemeda |
author_sort | Milkessa Dangia Negassa |
collection | DOAJ |
description | Abstract Background Forest plays an important role in climate regulation and carbon sequestration. Komto Forest is one of the remnant natural forests found in Guto Gida district of East Wollega zone, Ethiopia, has been supporting the local community for construction, energy and household furniture. Currently, influenced by land use land cover change (LULCC), this forest has been declining at an alarming rate. Detecting LULCC and understanding the driving forces has important for supporting decision making processes. We examine variation in forest cover dynamics over the period 1991–2012 using Landsat TM image of 1991, ETM + of 2002 and OLI-TIRS of 2019. Results The LULCC detection results show that a dramatic increase of agricultural land from (24.78%) in 1991 to (33.5%) in 2019 with annual expansion rate (23.68%) per annum, where forest cover declined by 20.1% in 1991 and 37.38% in 2019 with annual decreasing rate of 4.18% per annum. Our finding indicates the increment of agricultural land, grassland, and settlement, while the dense and open forest cover shows a declining trend. The declining of forest coverage is likely to cause unpleasant environment and affects human wellbeing. Conclusions The massive declined in forest cover change are often associated with agricultural expansion in the periphery of the forest. Timber exploitation and charcoal production are other problems that contribute for the declining of forest coverage. Overall, our results suggest the need of participatory forest management and public awareness creation to sustain the Komto remnant forest. |
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issn | 2193-2697 |
language | English |
last_indexed | 2024-12-14T05:45:29Z |
publishDate | 2020-01-01 |
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series | Environmental Systems Research |
spelling | doaj.art-090004799e0c42cb890d27d6f13780412022-12-21T23:14:53ZengSpringerOpenEnvironmental Systems Research2193-26972020-01-019111410.1186/s40068-020-0163-zForest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, EthiopiaMilkessa Dangia Negassa0Demissie Tsega Mallie1Dessalegn Obsi Gemeda2Department of Earth Sciences, College of Natural and Computational Science, Wollega UniversityDepartment of Geography and Environmental Studies, College of Social Sciences and Humanities, Jimma UniversityDepartment of Natural Resources Management, College of Agriculture and Veterinary Medicine, Jimma UniversityAbstract Background Forest plays an important role in climate regulation and carbon sequestration. Komto Forest is one of the remnant natural forests found in Guto Gida district of East Wollega zone, Ethiopia, has been supporting the local community for construction, energy and household furniture. Currently, influenced by land use land cover change (LULCC), this forest has been declining at an alarming rate. Detecting LULCC and understanding the driving forces has important for supporting decision making processes. We examine variation in forest cover dynamics over the period 1991–2012 using Landsat TM image of 1991, ETM + of 2002 and OLI-TIRS of 2019. Results The LULCC detection results show that a dramatic increase of agricultural land from (24.78%) in 1991 to (33.5%) in 2019 with annual expansion rate (23.68%) per annum, where forest cover declined by 20.1% in 1991 and 37.38% in 2019 with annual decreasing rate of 4.18% per annum. Our finding indicates the increment of agricultural land, grassland, and settlement, while the dense and open forest cover shows a declining trend. The declining of forest coverage is likely to cause unpleasant environment and affects human wellbeing. Conclusions The massive declined in forest cover change are often associated with agricultural expansion in the periphery of the forest. Timber exploitation and charcoal production are other problems that contribute for the declining of forest coverage. Overall, our results suggest the need of participatory forest management and public awareness creation to sustain the Komto remnant forest.https://doi.org/10.1186/s40068-020-0163-zChange detectionDeforestationForest lossLand cover changeLand use land cover |
spellingShingle | Milkessa Dangia Negassa Demissie Tsega Mallie Dessalegn Obsi Gemeda Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia Environmental Systems Research Change detection Deforestation Forest loss Land cover change Land use land cover |
title | Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia |
title_full | Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia |
title_fullStr | Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia |
title_full_unstemmed | Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia |
title_short | Forest cover change detection using Geographic Information Systems and remote sensing techniques: a spatio-temporal study on Komto Protected forest priority area, East Wollega Zone, Ethiopia |
title_sort | forest cover change detection using geographic information systems and remote sensing techniques a spatio temporal study on komto protected forest priority area east wollega zone ethiopia |
topic | Change detection Deforestation Forest loss Land cover change Land use land cover |
url | https://doi.org/10.1186/s40068-020-0163-z |
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