Regional erosion risk mapping for decision support: A case study from West Africa
| Autor: | Yvonne Bachmann, Farris A.Y. Okou, Brice Tente, Brice Sinsin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Geographic information system
010504 meteorology & atmospheric sciences biology Land use business.industry Geography Planning and Development Forestry Land cover 010501 environmental sciences Management Monitoring Policy and Law biology.organism_classification 01 natural sciences Normalized Difference Vegetation Index Unit (housing) Erosion Environmental science Aster (genus) Digital elevation model Water resource management business 0105 earth and related environmental sciences Nature and Landscape Conservation |
| Zdroj: | Land Use Policy. 56:27-37 |
| ISSN: | 0264-8377 |
| Popis: | Effective soil and water management strategies require regional-scale assessment of erosion risk in order to locate prioritized area of intervention. Our study focuses on the Atacora mountain and surrounding areas (covering more than 18% of the total land area of Republic of Benin) which face a serious erosion threat despite their ecological and economic importance. To appraise the level of soil erosion risk of large area, we rely on the Instituto Nacional para la Conservacion de la Naturaleza (ICONA) erosion model and use data from geographic information system (GIS). The erosion risk model requires four main inputs, namely, information on slope, lithofacies, land use and vegetation cover. The slope layer computed from ASTER digital elevation model (DEM) and the lithofacies layer inferred from digital pedogeological map are combined to draw soil erodibility map. To build soil protection map, we use land use/land cover layer extracted from LANDSAT 7 ETM + images in addition to vegetation cover layer derived from MODIS NDVI product. The final erosion risk map (with a resolution of 1 arc second) is obtained by overlapping erodibility and soil protection maps. We find that 21.8%, 58.5%, and 19.5% of the study area presents very low to low, medium, and high to very high level of erosion risk, respectively. Moreover, our findings are aggregated at the district-level (administrative unit). We observe that erosion risk is more acute in Boukoumbe district. Kerou, Kobli and Natitingou districts are mildly affected by erosion risk, while Kouande, Materi, Pehunco, Tanguieta and Toucountouna districts face a low risk. Ultimately, the proposed erosion risk map can help researchers and decision makers design and implement effective soil and water management interventions in the study area. |
| Databáze: | OpenAIRE |
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