An Implications of Soil Erosion on Prospects of Maize and Groundnut Yield in Selected Northern Regions of Ghana

  • Wilson Agyei Agyare KNUST
  • Eliasu Salifu KNUST
  • Gift Dumedah KNUST
  • Nicholas Kyei-Baffour KNUST
Keywords: Crop yield, RUSLE, North-East, Savannah, Erosion rate

Abstract

Soil erosion is a threat to the viability of arable land, which has a relationship with crop productivity. This study was carried out in the Northern, North-East and Savannah Regions of Ghana, which have a high agricultural potential. The study examined erosion-yield relationship by comparing estimated erosion rates with maize and groundnut yields. The study also projected soil erosion and determined its implication on the prospects of maize and groundnut yields. The mean soil erosion rates were found to be 4.2 t ha-1y-1, 5.1 t ha-1y-1 and 7.1 t ha-1y-1 for the Northern, North-East and Savannah Regions respectively. Erosion projections for the next 10 years show that, soil erosion will averagely increase by about 12 %, which could reduce the yield of maize and groundnut by 21 % and 16 % respectively by the year 2029, should the current trend continue. The study also found out that crop (maize and groundnut) yield per land area is relatively lower in areas severely affected by soil erosion. Farmers in the study area and areas of similar ecology must be encouraged to adopt Soil and Water Conservation (SWC) strategies to sustain their productivity.

Downloads

Download data is not yet available.

References

El Jazouli, A., Barakat, A., Ghafiri, A., El Moutaki, S., Ettaqy, A. Khellouk, R., 2017. Soil erosion modeled with USLE, GIS, and remote sensing: a case study of Ikkour watershed in Middle Atlas (Morocco). Geoscience Letters. 4(1). doi: 10.1186/s40562-017-0091-6.

El-Swaify S.A., Moldenhauer, W.C., 1985. Soil Erosion and Conservation. Ankeny, Iowa: Soil Conservation Society of America.

Farhan, Y., Nawaiseh, S., 2015. Spatial assessment of soil erosion risk using RUSLE and GIS Techniques. Environmental Earth Science. 74, 4649 - 4669.

Fenta, A.A., Yasuda, H., Shimizu, K., Nigussie, H., Negussie, A., 2016. Dynamics of Soil Erosion As Influenced By Watershed Management Practices: A Case Study of the Agula Watershed in the Semi-Arid Highlands of Northern Ethiopia. Environmental Management. 58, 889 - 905.

Fredua, K.B., 2014. The economic cost of environmental degradation : A case study of agricultural land degradation in Ghana. Environmental Protection Agency, Ghana. 233.

Ghana Meteorological Service., 2012. Ghana Meteorological Service, Ghana.

Haregeweyn, N., Tsunekawa, A., Poesen, J., Tsubo, M., Meshesha, D. T., Fenta, A. A., Nyssen, J., Adgo, E., 2017. Comprehensive assessment of soil erosion risk for better land use planning in river basins: case study of the Upper Blue Nile River. Sci Total Environ. 574, 95 - 108.

Hurni, H., 1985. Erosion–productivity–conservation systems in Ethiopia. In: proceedings 4th international conference on soil conservation, Maracay, Venezuela. 654 - 674.

Jong, D., Brouwer, S.M., Riezebos, H., 1998. Erosion hazard assessment in the Peyne catchment, France, Working Paper DeMon-2 Project. Dept. Physical Geography, Utrecht University.

Kim, H.S., Julien, P., 2006. Soil erosion modelling using RUSLE and GIS on the Imaha watershed. Water Engineering Research. 1(1), 29 - 41.

Kunta, K., 2009. Effects of Geographic Information Quality on Soil Erosion Prediction. Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology, Zurich.

Kusimi, J.M., Yiran, G.A.B., Attua, E.M., 2016. Soil erosion and sediment yield modelling in the Pra River basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE). Ghana Journal of Geography. 7(2), 38 - 57.

Mhangara, P., Kakembo, V., Lim, K., 2012. Soil erosion risk assessment of the keiskamma catchment, South Africa using GIS and remote sensing. Environmental Earth Science. 65(7), 2087 - 2102.

Mitasova, H., Mitas, Z., 1999. Modeling Soil Detachment with RUSLE 3D Using GIS. University of Illinois at Urbana champaign, Champaign.

Mokma, D.L., Sietz, M.A., 1992. Effects of soil erosion on corn yields on Marlette soils in the south-central Michigan. J. Soil Water Conserv. 47, 325 - 327.

Moore, D., Wilson, J.P., 1992. Length Slope Factor for the Revised Universal Soil Loss Equation: Simplified Method of Solution. J Soil Water Conservation, 47(5), 423 - 428.

O’Geen, A.T., Davis, U.T., Schwankl, L.J., 2001. Understanding Soil Erosion in Irrigated Agriculture. Division of Agriculture and Natural Resources, University of California.

Obando, F., Stocking, M., 2001. Erosion and soil productivity relationships for an oxisol in the eastern plains of Colombia. ASAE Pub. 701P0007.

Oduro-Afriyie, K., 1996. Rainfall erosivity map for Ghana. Geoderma. 74, 161 - 166.

Oguz, O., Cagatay, K., Durak, A., Kilic, M., 2006. Effect of erosion on crop yields, soil properties and nutrients in the semi-arid regions of Turkey. J of Agronomy. 5(1), 5 - 10.

Panagos, P., Borrelli, P., Meusburgerb, K., van der Zanden, E., Poesen, J., Alewell, C., 2015. Modeling the Effect of Support Practices (P-Factor) On the Reduction of Soil Erosion by Water at European Scale. Environ Sci Policy. 51, 23 - 34.

Panagos, P., Borrelli, P., Meusburgerb, K., van der Zanden, E., Poesen, J., Alewell, C., 2015. Modeling the Effect of Support Practices (P-Factor) On the Reduction of Soil Erosion by Water at European Scale. Environ Sci Policy. 51, 23 - 34.

Pimentel, D., Harvey, C., Resosudarmo, P., Sinclair, K., Kurz, D., McNair, M., Crist, S., Shpritz, L., Fitton, L., Saffouri, R., Blair, R., 1995. Environmental and economic costs of soil erosion and conservation benefits. Science. 267, 1117 - 1122.

Prasannakumar, V.V., Abinod, S., Geetha, N., 2012. Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, Using Revised Universal Soil Loss Equation (RUSLE) and Geo-Information Technology. Geoscience Frontiers, 3(2), 209 - 215.

Renard, K.G., Foster, G.R., Weesies, G.A., McCool, D.K., Yoder, D.C., 1997. Predicting soil erosion by water - A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). U.S. Dept. of Agric., Agr. Handbook.703.

Roose, E. J., 1977. Use of the Universal Soil Loss Equation to predict erosion in West Africa. In Soil erosion – Prediction and control: Soil Conservation Society of America. Ankeny, Iowa. 60 - 73.

Simms, A.D., Woodroffe, C.D., Jones, B.G., 2003. Application of RUSLE for Erosion Management in a Coastal Catchment, Southern NSW. In: Proceedings of the International Congress on Modeling and Simulation.

Tamane, L., Adimassu, Z., Ellison, J., Yaekob, T., Woldearegay, K., Mekonnen, K., Thorne, P., 2017. Mapping soil erosion hotspots and assessing the potential impacts of land management practices in the highlands of Ethiopia. Geomorphology. 292, 153 - 163.

Telles, T.S., Dechen, S.C.F., Antonio de Souza, L.G., Guimarães, M.F., 2013. Valuation and assessment of soil erosion costs. June, 209 - 216.

Telles, T.S., Guimarães, M.F., Dechen, S.C.F., 2011. The costs of soil erosion. Revista Brasileira de Ciência do Solo. 35, 287 - 298.

Tosic, R., Dragicevic, S., Kostadinov, S., Dragovic, N., 2011. Assessment of soil erosion potential by the USLE method: Case study, Assessment of Soil Erosion Potential by the USLE Method: Case Study, Republic of Srpska – BiH, January.

Wischmeier, W.H., Smith, D.D., 1978. Predicting rainfall erosion losses - A guide to conservation planning. Agriculture Handbook No. 537. US Department of Agriculture Science and Education Administration, Washington, DC, USA. 163.

Yesuph, A.Y., Dagnew, A.B., 2019. Soil erosion mapping and severity analysis based on rusle model and local perception in the Beshillo catchment of the blue Nile Basin, Ethiopia. Environ. Sys. Res. 8(17), 1 - 21.

Published
2021-01-28