Simulation of Soil Erosion to Support Sustainable Land Management in the Mo River Basin (Togo, West Africa)

cg.contactQ.Le@cgiar.orgen_US
cg.contributor.centeriMMAPen_US
cg.contributor.centerUniversity of Lomé - ULen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.centerInternational Center for Tropical Agriculture - CIATen_US
cg.contributor.centerKwame Nkrumah University of Science and Technology - KNUSTen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.countryTGen_US
cg.coverage.regionWestern Africaen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.creator.idTamene, Lulseged: 0000-0002-3806-8890en_US
cg.date.embargo-end-dateTimelessen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovoclandscape restorationen_US
cg.subject.agrovocsoil lossen_US
cg.subject.agrovoctogoen_US
dc.contributorLe, Quang Baoen_US
dc.contributorTamene, Lulsegeden_US
dc.contributorAgodzo, Sampsonen_US
dc.contributorWala, Kperkoumaen_US
dc.creatorDiwediga, Badabateen_US
dc.date.accessioned2017-02-28T22:47:02Z
dc.date.available2017-02-28T22:47:02Z
dc.description.abstractThis paper examines possible management pathways to address soil erosion issues due to improper land management and landform patterns. Therefore, a landscape management and planning tool (LAMPT), a spatially explicit model based on the Revised Universal Soil Loss Equation (RUSLE) adjusted for the sediment delivery ratio (SDR) was used to model the historical soil loss and evaluate the efficiency of some land management and conservation strategies. Different database and field characterization were used to calibrate the model for the Mo river basin and validate the model outputs at the landscape level. In addition, a participatory rural appraisal approach was used to validate the simulated spatial patterns of soil erosion at the landscape level. The results indicated that the simulated net soil loss (NSL) for the Mo basin was higher than the tolerable limits for the Tropics. The local appraisal of soil loss was in line with the simulated outputs even though quantification was not accounted for when dealing with rural illiterate people. Simulated historical NSLs were approximately 26, 23, 27, and 44 Mg ha-1y-1, for 1972, 1987, 2000, and 2014, respectively. Steep slopes (≥ 15 ᴼ), poorly covered lands, and riversides (distances ≤ 100 m) are critical areas of sediment sources. Measures, such as controlling erosion hotspots through land protective measures, could help reduce the NSL up to 70%, closer to the tolerable limits for the tropics. The model implementation in the basin showed insights in identifying soil erosion-prone areas and targeting soil conservation planning and landscape restoration measures.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationBadabate Diwediga, Quang Bao Le, Lulseged Tamene, Sampson Agodzo, Kperkouma Wala. (31/1/2017). Simulation of Soil Erosion to Support Sustainable Land Management in the Mo River Basin (Togo, West Africa).en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6099
dc.languageenen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectrusleen_US
dc.subjectlampten_US
dc.subjectland management uniten_US
dc.subjectland conservation optionsen_US
dc.subjectmo basinen_US
dc.titleSimulation of Soil Erosion to Support Sustainable Land Management in the Mo River Basin (Togo, West Africa)en_US
dc.typeJournal Articleen_US
dcterms.available2017-01-31en_US

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