A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands

Soil erosion represents one of the most important global issues with serious effects on agriculture and water quality, especially in developing countries, such as Ethiopia, where rapid population growth and climatic changes affect widely mountainous areas. The Meskay catchment is a head catchment of...

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Main Authors: Mariaelena Cama, Calogero Schillaci, Jan Kropáček, Volker Hochschild, Alberto Bosino, Michael Märker
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/10/7/248
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author Mariaelena Cama
Calogero Schillaci
Jan Kropáček
Volker Hochschild
Alberto Bosino
Michael Märker
author_facet Mariaelena Cama
Calogero Schillaci
Jan Kropáček
Volker Hochschild
Alberto Bosino
Michael Märker
author_sort Mariaelena Cama
collection DOAJ
description Soil erosion represents one of the most important global issues with serious effects on agriculture and water quality, especially in developing countries, such as Ethiopia, where rapid population growth and climatic changes affect widely mountainous areas. The Meskay catchment is a head catchment of the Jemma Basin draining into the Blue Nile (Central Ethiopia) and is characterized by high relief energy. Thus, it is exposed to high degradation dynamics, especially in the lower parts of the catchment. In this study, we aim at the geomorphological assessment of soil erosion susceptibilities. First, a geomorphological map was generated based on remote sensing observations. In particular, we mapped three categories of landforms related to (i) sheet erosion, (ii) gully erosion, and (iii) badlands using a high-resolution digital elevation model (DEM). The map was validated by a detailed field survey. Subsequently, we used the three categories as dependent variables in a probabilistic modelling approach to derive the spatial distribution of the specific process susceptibilities. In this study we applied the maximum entropy model (MaxEnt). The independent variables were derived from a set of spatial attributes describing the lithology, terrain, and land cover based on remote sensing data and DEMs. As a result, we produced three separate susceptibility maps for sheet and gully erosion as well as badlands. The resulting susceptibility maps showed good to excellent prediction performance. Moreover, to explore the mutual overlap of the three susceptibility maps, we generated a combined map as a color composite where each color represents one component of water erosion. The latter map yields useful information for land-use managers and planning purposes.
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spelling doaj.art-fa3dafb6dc87499faf576109dbcb69f32023-11-20T05:06:34ZengMDPI AGGeosciences2076-32632020-06-0110724810.3390/geosciences10070248A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian HighlandsMariaelena Cama0Calogero Schillaci1Jan Kropáček2Volker Hochschild3Alberto Bosino4Michael Märker5Department of Geosciences, Tübingen University, Rümelinstr. 19-23, 72074 Tübingen, GermanyDepartment of Agricultural and Environmental Science, University of Milan, Via Celoria 2, 20133 Milan, ItalyDepartment of Geosciences, Tübingen University, Rümelinstr. 19-23, 72074 Tübingen, GermanyDepartment of Geosciences, Tübingen University, Rümelinstr. 19-23, 72074 Tübingen, GermanyDepartment of Earth and Environmental Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, ItalyDepartment of Earth and Environmental Sciences, University of Pavia, Via Ferrata 1, 27100 Pavia, ItalySoil erosion represents one of the most important global issues with serious effects on agriculture and water quality, especially in developing countries, such as Ethiopia, where rapid population growth and climatic changes affect widely mountainous areas. The Meskay catchment is a head catchment of the Jemma Basin draining into the Blue Nile (Central Ethiopia) and is characterized by high relief energy. Thus, it is exposed to high degradation dynamics, especially in the lower parts of the catchment. In this study, we aim at the geomorphological assessment of soil erosion susceptibilities. First, a geomorphological map was generated based on remote sensing observations. In particular, we mapped three categories of landforms related to (i) sheet erosion, (ii) gully erosion, and (iii) badlands using a high-resolution digital elevation model (DEM). The map was validated by a detailed field survey. Subsequently, we used the three categories as dependent variables in a probabilistic modelling approach to derive the spatial distribution of the specific process susceptibilities. In this study we applied the maximum entropy model (MaxEnt). The independent variables were derived from a set of spatial attributes describing the lithology, terrain, and land cover based on remote sensing data and DEMs. As a result, we produced three separate susceptibility maps for sheet and gully erosion as well as badlands. The resulting susceptibility maps showed good to excellent prediction performance. Moreover, to explore the mutual overlap of the three susceptibility maps, we generated a combined map as a color composite where each color represents one component of water erosion. The latter map yields useful information for land-use managers and planning purposes.https://www.mdpi.com/2076-3263/10/7/248maximum entropy model (MaxEnt)water erosiongully erosionEthiopian highlandsremote sensingterrain analysis
spellingShingle Mariaelena Cama
Calogero Schillaci
Jan Kropáček
Volker Hochschild
Alberto Bosino
Michael Märker
A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
Geosciences
maximum entropy model (MaxEnt)
water erosion
gully erosion
Ethiopian highlands
remote sensing
terrain analysis
title A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
title_full A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
title_fullStr A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
title_full_unstemmed A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
title_short A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands
title_sort probabilistic assessment of soil erosion susceptibility in a head catchment of the jemma basin ethiopian highlands
topic maximum entropy model (MaxEnt)
water erosion
gully erosion
Ethiopian highlands
remote sensing
terrain analysis
url https://www.mdpi.com/2076-3263/10/7/248
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