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Estimating soil erosion in sub-Saharan Africa based on landscape similarity mapping and using the revised universal soil loss equation (RUSLE)

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Abstract

Soil erosion is one of the major forms of land degradation in sub-Saharan Africa (SSA) with serious impact on agricultural productivity. Due to the absence of reliable data at appropriate resolution and differences in the methods used, there are discrepancies in soil erosion estimates at both continental and basin levels. This study attempts to contribute to the existing regional soil erosion estimates based on a two-stage approach. First, we partitioned SSA into environmental units, so-called similar environmental constraint envelops (SECEs), using broad scale data as proxies of erosion drivers. The SECEs are intended to provide spatial frame for scaling out modeled erosion results. Second, soil erosion estimate is made at two selected basins of the White Volta and the Nile using spatially distributed revised universal soil loss (RUSLE) model. The delineation of SECEs across SSA provided spatially differentiated clusters governed by the existence of similar environmental conditions and soil erosion risk levels. The RUSLE-based estimates show that soil erosion ranges between 0 to 120 t ha−1 yr−1 (overall mean of 35 t ha−1 yr−1) in the White Volta basin, and 0–650 t ha−1 yr−1 (overall mean of 75 t ha−1 yr−1) in the Nile basin. The soil loss estimates show an overall agreement with other studies conducted in the two basins. Our approach provides guidance on where empirically estimated soil erosion for a given SECE can be extrapolated to similar SECE’s with acceptable confidence and where finer SECE’s sub-units should be defined to further collapse the spatial variability of drivers of erosion.

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References

  • Abe SS, Wakatsuki T (2011) Sawah ecotechnology—a trigger for a rice green revolution in sub-Saharan Africa: basic concept and policy implications. Outlook Agric 40(3):221–227

    Article  Google Scholar 

  • Adwubi A, Amegashie BK, Agyare WA, Tamene L, Odai SN, Quansah C, Vlek PLG (2009) Assessing sediment inputs to small reservoirs in Upper East Region, Ghana. Lakes Reserv Res Manag 14:279–287

    Article  Google Scholar 

  • Ahmed AA, Ismail UHA (2008) Sediment in the Nile River System. UNESCO International Hydrological Programme International Sediment Initiative, UNESCO Chair in Water Resources, Khartoum

  • Balk D, Yetman G (2004) Gridded population of the world—version 3 documentation. Center for International Earth Science Information Network (CIESIN), Columbia University, New York

    Google Scholar 

  • Batjes NH (2001) Options for increasing carbon sequestration in West African soils: an explanatory study with special focus on Senegal. Land Degrad Dev 12:131–142

    Article  Google Scholar 

  • BCEOM (1999) Abay River Basin integrated master plan, main report. Ministry of Water Resources, Addis Ababa, pp. 71–83

  • Betrie GD, Mohamed YA, van Griensven A, Srinivasan R (2011) Sediment management modelling in the Blue Nile basin using SWAT model. Hydrol Earth Syst Sci 15:807–818

    Article  Google Scholar 

  • Bicheron P, Defourny P, Brockmann C, Schouten L, Vancutsem C, Huc M, Bontemps S, Leroy M, Achard F, Herold M, Ranera F, Arino O (2008) GLOBCOVER: products description and validation report. ESA Globcover Project, led by MEDIAS-France/POSTEL

  • Bishop J, Allen J (1989) On-site costs of soil erosion in Mali. Environment department working paper no. 21, World Bank, Washington

  • Bull LJ, Kirkby MJ, Shannon J, Dunsford HD (2003) Predicting hydrologically similar surfaces (HYSS) in semi-arid environments. Adv Monit Model 1:1–26

    Google Scholar 

  • Chowdary VM, Chakraborthy D, Jeyaram A, Murthy YVNK, Sharma JR, Dadhwal VK (2013) Multi-criteria decision making approach for watershed prioritization using analytic hierarchy process technique and GIS. Water Resour Manag 27:3555–3571

    Article  Google Scholar 

  • Curran-Everett D, Benos DJ (2004) Guidelines for reporting statistics in journals published by the American Physiological Society. Adv Physiol Educ 28:85–87

    Article  PubMed  Google Scholar 

  • Desmet PJJ, Govers G (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J Soil Water Conser 51:427–443

  • Droogers P, Kaufman JH, Dijkshoorn JA, Immerzeel W, Huting JRM (2006) Green water credits: basin identification. Green Water Report 1. ISRIC report 2006/4. World Soil Information (ISRIC), Wageningen

  • Ejeta G (2010) African green revolution needn’t be a mirage. Science 327(5967):831–832

    Article  CAS  PubMed  Google Scholar 

  • Eswaran H, Lal R, Reich PF (2001) Land degradation: an overview, In: Proceedings of the 2nd International Conference on Land Degradation and Desertification, pp. 1–5, Oxford Press, Khon Kaen

  • FAO (1995) Land and environmental degradation and desertification in Africa. FAO Corporate Document Repository, Rome

    Google Scholar 

  • Fargas D, Martínez-Casasnovas JA, Poch RM (1997) Identification of critical sediment source areas at regional level. Phys Chem Earth 22:355–359

    Article  Google Scholar 

  • Fischer G, van Velthuizen HT, Shah M, Nachtergaele FO (2002) Global agroecological assessment for agriculture in the 21st century—methodology and results. International Institute for Applied Systems Analysis (IIASA) and food and agriculture organization of the United Nations (FAO), Laxenburg, Austria

  • Fischer G, Nachtergaele F, Prieler S, van Velthuizen HT, Verelst L, Wiberg D (2008) Global agro-ecological zones assessment for agriculture (GAEZ 2008). IIASA, Laxenburg

    Google Scholar 

  • Flügel WA (1996) Hydrological Response Units (HRUs) as modelling entities for hydrological river basin simulation and their methodological potential for modelling complex environment process systems. Results from the Sieg Catchment. Erde 127:43–62

    Google Scholar 

  • Flügel WA (1997) Combining GIS with regional hydrological modelling using hydrological response units (HRUs): an application from Germany. Math Comput Simul 43:297–304

    Article  Google Scholar 

  • Flügel WA, Märker M, Moretti S, Rodolfi G, Sidrochuk A (2003) Integrating geographical information systems, remote sensing, ground truthing and modelling approaches for regional erosion classification of semi-arid catchments in South Africa. Hydrol Process 17:929–942

    Article  Google Scholar 

  • Folly A (1997) Land use planning to minimize soil erosion—a case study from the upper east region in Ghana. Institute of Geography. University of Copenhagen, Copenhagen

    Google Scholar 

  • Garg V, Jothiprakash V (2012) Sediment yield assessment of a large basin using PSIAC approach in GIS environment. Water Resour Manag 26:799–840

    Article  Google Scholar 

  • Hazell P, Poulton C, Wiggins S, Dorward A (2010) The future of small farms: trajectories and policy priorities. World Dev 38:1349–1361

    Article  Google Scholar 

  • Henao J, Baanante C (2006) Agricultural production and soil nutrient mining in Africa implications for resource conservation and policy development. IFDC Technical Bulletin www.ifdc.org

  • Hochschild V, Märker M, Rodolfi G, Staudenrausch H (2003) Delineation of erosion classes in semi-arid southern African grasslands using vegetation indices from optical remote sensing data. Hydrol Process 17(5):917–928

    Article  Google Scholar 

  • Hurni H (1985) Erosion: productivity-conservation systems in Ethiopia. In: Proceedings 4th international conference on soil conservation, Maracay, pp. 654–674

  • Hussein AS, Bashar KE, Fattah SA, Siyam AM (2005) Reservoir sedimentation. Nile Basin Capacity Building Network (NBCBN), Khartoum

  • ICRAF/MARD (2000) “Improved land management in the Lake Victoria basin: linking land and lake, research land extension, catchment and lake basin”, Final Technical Report, Start-up Phase

  • ISRIC-World Soil Information (2013) Soil property maps of Africa at 1 km. Available for download at www.isric.org

  • Jayakrishnan R, Srinivasan R, Santhi C, Arnold JG (2005) Advances in the application of the SWAT model for water resources management. Hydrol Proc 19:683–692

  • Jones P, Harris I (2008) CRU time-series (TS) high resolution gridded datasets. http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__dataent_1256223773328276 (Accessed on 01 May 2013). NCAS British Atmospheric Data Centre Climate Research Unit (CRU), University of East Anglia

  • Kaboré D, Reij C (2004) The emergence and spreading of an improved traditional soil and water conservation practice in Burkina Faso. EPTD Discussion Paper No. 114. International Food Policy Research Institute, Washington

  • Kimwaga RJ, Mashauri DA, Bukirwa F, Banadda N, Wali UG, Nhapi I (2012) Development of best management practices for controlling the non-point sources of pollution around Lake Victoria using SWAT model: a case of Simiyu catchment, Tanzania. Open Environ Eng J 5:77–83

    Article  CAS  Google Scholar 

  • Lal R (1995) Erosion-crop productivity relationships for soils of Africa. Soil Sci Soc Am J 59(3):661–667

    Article  CAS  Google Scholar 

  • Lawal O, Thomas G, Babatunde N (2007) Estimation of potential soil losses on a regional scale: a case of Abomey-Bohicon region. Benin Republic Agric J 2:1–8

    Google Scholar 

  • Le Roux JJ, Morgenthal TL, Malherbe J, Pretorius DJ, Sumner PD (2008) Water erosion prediction at a national scale for South Africa. Water SA 34:305–314

    Google Scholar 

  • Le QB, Tamene L, Vlek PLG (2012) Multi-pronged assessment of land degradation in West Africa to assess the importance of atmospheric fertilization in masking the processes involved. Global Planet Change 92–93:71–81

    Article  Google Scholar 

  • Marker M, Moretti S, Rodolf G (2001) Assessment of water erosion processes and dynamics in semiarid regions of southern Africa (Kwazulu/Natal RSA; Swaziland) using the Erosion Response Unit concept (ERU). Geografia, Fisica e dinamica Quaternaria 24:71–83

    Google Scholar 

  • Mati BM, Veihe A (2001) Application of the USLE in a savannah environment: comparative experiences from East and West Africa. Singap J Trop Geogr 22:138–155

    Article  Google Scholar 

  • McDougall I, Morton W, William M (1975) Ages and rates of denudation of trap series basalts at the Blue Nile Gorge, Ethiopia. Nature 254:207–209

  • Moore ID, Burch GJ (1986) Modelling erosion and deposition: topographic effects. Trans Am Soc Agric Eng 29:1624–1630

    Article  Google Scholar 

  • Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modelling: a review of hydrological, geomorphological and biological applications. Hydrol Process 5:3–30

    Article  Google Scholar 

  • Nile Basin Initiative (2012) State of the River Nile Basin 2012 Nile Basin Initiative (NBI), Entebbe

  • Nyssen J, Haregeweyn N, Descheemaeker K, Gebremichael D, Vancampenhout K, Poesen J, Haile M, Moeyersons J, Buytaert W, Naudts J, Deckers J, Govers G (2005) Modelling the effect of soil and water conservation practices in Tigray, Ethiopia. Agric Ecosyst Environ 114:407–411

    Article  Google Scholar 

  • Obalum SE, Buri MM, Nwite JC, Watanabe Y, Hermansah, Igwe CA, Wakatsuki T (2012) Soil degradation-induced decline in productivity of sub-Saharan African soils: the prospects of looking downwards the lowlands with the sawah ecotechnology. Appl Environ Soil Sci. doi:10.1155/2012/673926

    Google Scholar 

  • Oldeman LR, Hakkeling RTA, Sombroek WG (1991) World map of the status of human-induced soil degradation: an explanatory note. International Centre and United Nations Environment Programme. Wageningen, Nairobi

    Google Scholar 

  • Quinton JN, Govers G, van Oost K, Bardgett RD (2010) The impact of agricultural soil erosion on biogeochemical cycling. GeoNature 3:311–314

    CAS  Google Scholar 

  • Reij C, Tappan G, Belemvire A (2005) Changing land management practices and vegetation on the central plateau of Burkina Faso (1968–2002). J Arid Environ 63:642–659

    Article  Google Scholar 

  • Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R-factor in the revised USLE. J Hydrol 157:287–306

    Article  Google Scholar 

  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the Revised universal soil loss equation (RUSLE). USDA agricultural handbook 703

  • Roose EJ (1977) Erosion et Ruissellement en Afrique de l’ouest—vingt annees de mesures en petites parcelles experimentales. Travaux et Documents de I’ORSTOM No. 78. ORSTOM, Paris

  • Roy RN, Misra RV, Lesschen JP, Smaling EM (2003) Assessment of soil nutrient balance: approaches and methodologies. FAO Fertilizer and Plant Nutrient Bulletin 14. FAO, Rome, Italy

  • Sanchez PA, Shepherd KD, Soule MJ, Place FM, Buresh RJ, Izac AN, Mokwunye AU, Kwesiga FR, Ndiritu CG, Woomer PL (1997) Soil fertility replenishment in Africa: an investment in natural resource capital. In: Replenishing soil fertility in Africa, soil science society of America special publication #51, Soil science society of America, Madison

  • Scherr SJ, (1999) Soil degradation: a threat to developing-country food security by 2020? IFPRI food, agriculture and the environment discussion paper 27

  • Setegn S, Dargahi B, Srinivasan R, Melesse A (2010) Modeling of sediment yield from Anjeni-Gauged Watershed, Ethiopia using SWAT model. J Am Water Resour 46:514–526

    CAS  Google Scholar 

  • Shahin M (1993) An overview of reservoir sedimentation in some African river basins, In: Proceedings of sediment problems: strategies for monitoring, prediction and control, yokohama, July 1993, LAHS Publ 217, pp. 93–100

  • Stocking MA (1987) Measuring land degradation. In: Blackie P, Brookfield H (eds) Land degradation and society. Methuen, London, pp 49–63

  • Stocking M, Benites JR (1996) Erosion-Induced loss in soil productivity: second workshop—Preparatory papers and country report analyses. Report of the workshop, Chapecó, Santa Catarina, Brazil. UN food and agriculture organization, land and water development division

  • Symeonakis E, Drake N (2004) Monitoring desertification and land degradation over sub-Saharan Africa. Int J Remote Sens 25:573–592

    Article  Google Scholar 

  • Symeonakis E, Drake N (2010) 10-Daily soil erosion modelling over sub-Saharan Africa. Environ Monit Assess 161:369–387

    Article  PubMed  Google Scholar 

  • Taddese G (2001) Land degradation: a challenge to Ethiopia. Environ Manage 27:815–824

    Article  CAS  PubMed  Google Scholar 

  • Tamene L, Le QB, Vlek PLG (2014) A landscape planning and management tool for land and water resources management: an example application in Northern Ethiopia. Water Resour Manage 28:407–424

    Article  Google Scholar 

  • van der Knijff JM, Jones RJA, Montanarella L (1999) Soil erosion risk assessment in Italy. European Soil Bureau, JRC, Italy. http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/er_it_new.pdf

  • van der Knijff JM, Jones RJA, Montanarella L (2000) Soil Erosion assessment in Europe. European soil bureau, Joint research center of the European commission, pp. 34

  • Van Leeuwen WJD, Sammons G (2003) Seasonal land degradation risk assessment for Arizona. The 30th International symposium on remote sensing of environment, Honolulu

  • Van Leeuwen WJD, Sammons G (2005) Vegetation dynamics and erosion modeling using remotely sensed data (MODIS) and GIS. Tenth Biennial USDA “forest service remote sensing applications” conference. U.S. Department of Agriculture, forest service remote sensing applications Center, Salt Lake City

  • Van Rompaey A, Bazzoffi P, Jones RJA, Montanarella L (2005) Modeling sediment yields in Italian catchments. Geomorphology 65:157–169

    Article  Google Scholar 

  • Veldkamp WJ (2002) Experiences on land degradation and its mitigation and best management practices under semi-arid conditions in sub-Saharan Africa. FAO Working Paper Rome

  • Vlek PLG, Le QB, Tamene L (2010) Assessment of land degradation, its possible causes and threat to food security in Sub-Saharan Africa. In: Lal R, Stewart BA (eds) Advances in soil science—food security and soil quality. CRC Press, Boca, pp 57–86

    Google Scholar 

  • Vrieling A (2006) Satellite remote sensing for water erosion assessment: a review. Catena 65:2–18

    Article  Google Scholar 

  • Walling DE (1984) A challenge of african hydrology and water resources. International Association of Hydrological Sciences. IAHS Publication 144: 37693–587

  • Warren A, Batterbury S, Osbahr H (2001) Soil erosion in the West African Sahel: a review and an application of a”local political ecology” approach in South West Niger. Glob Environ Change 11(1):79–95

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. Agriculture handbook No. 537. U.S. Department of Agriculture, Washington

  • Wischmeier WH, Johnson CB, Cross BV (1971) A soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193

    Google Scholar 

  • World Bank (2006) Africa development indicators 2006. The International Bank for Reconstruction and Development/World Bank, Washington

    Book  Google Scholar 

  • Xin Z, Yu X, Li Q, Lu XX (2010) Spatiotemporal variation in rainfall erosivity on the Chinese loess plateau during the period 1956–2008. Reg Environ Change 11(1):149–159

    Article  Google Scholar 

  • Yang D, Kanae S, Oki T, Koike T, Musiake K (2003) Global potential soil erosion with reference to land use and climate change. Hydrol Processes 17:2913–2928

    Article  Google Scholar 

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Correspondence to Lulseged Tamene or Quang Bao Le.

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Tamene, L., Le, Q.B. Estimating soil erosion in sub-Saharan Africa based on landscape similarity mapping and using the revised universal soil loss equation (RUSLE). Nutr Cycl Agroecosyst 102, 17–31 (2015). https://doi.org/10.1007/s10705-015-9674-9

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