International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Use of geographic information system (GIS) in production of soil series map of Oyo State, Southwestern Nigeria

    , ,

Author Affiliations

  • 1Department of Surveying and Geoinformatics, Faculty of Environmental Studies, The Polytechnic Ibadan, Oyo State, Nigeria
  • 2Department of Surveying and Geoinformatics, Faculty of Environmental Studies, The Polytechnic Ibadan, Oyo State, Nigeria
  • 3Department of Geology, Faculty of Science, The Polytechnic Ibadan, Oyo State, Nigeria

Int. Res. J. Earth Sci., Volume 6, Issue (12), Pages 12-21, December,25 (2018)

Abstract

Soil is a natural resource that can be grouped into various soil types with different characteristics/properties that provide growing benefits and limitations. Soil plays an important role back to human existence and the knowledge of soil is the basis to its usefulness and management. Production of soil map give understanding about the soil series available in an environment. This study focused on mapping of soils series in Oyo State, Nigeria and it distribution across the thirty three (33) local government area of the state using geographic information system (GIS) application. The method used in this study was the use of Oyo State soil map which was extracted from Nigeria soil map (shape file) and subdivided into demarcated potion per local government areas. Nine soil series were classified and determined within the study area and they were differentiated with different color composite. The results showed that only one soil series exists in Akinyele, Lagelu, Egbeda, Ogbomosho North and Ogbomosho South, Ibadan North, North East, Northwest, Southeast and Southwest local government, and mixed soil series in other areas. Individual soil series present per local government area were determined. The results of the soil map produced in this study will help in improving soil data available within each local government area and Oyo State at large. It will also help in having the understanding of soil series types, its supplies and usefulness for different use in human daily activities in the study area.

References

  1. Olaniyan J.O. and Ogunkunle A.O. (2007)., An evaluation of the soil map of Nigeria: II. Purity of mapping unit., Journal of World Association of Soil and Water Conservation J, 2, 97-108.
  2. Soil Survey Staff (1993)., Soil Survey Manual., United States Dept. of Agriculture, Handbook No. 18. Washington.
  3. Dinç U. and Şenol S. (1997)., Soil Survey and Mapping., Cukurova University Agriculture Faculty No. 50, Adana. (in Turkish).
  4. Dijkerman J.C. (1974)., Pedology as a science: The role of data, models and theories in the study of natural soil systems., Geoderma, 11(2), 73-93.
  5. Lin H., Wheeler D., Bell J. and Wilding L. (2005)., Assessment of soil spatial variability at multiple scales., Ecological Modelling, 182(3-4), 271-290.
  6. Arnold R.W. and Wilding L.P. (1991)., The need to quantify spatial variability., Spatial Variabilities of Soils and Landforms, SSSA Special Publication 28, Soil Science Society of America, Inc., Madison, 1-8.
  7. Becket P.H.T. and Webster R. (1971)., Soil variability: a review., Soil Fertility, 34, 1-15.
  8. Bie S.W. and Beckett P.H.T. (1973)., Comparison of four independent soil surveys by air-photo interpretation, Paphos area (Cyprus)., Photogrammetria, 29(6), 189-202.
  9. Marsman B.A. and De Gruijter J.J. (1986)., Quality of Soil Maps: a Comparison of Survey Methods in a Sandy Area., Soil Survey Pub. 15, Stiboka, Wageningen.
  10. Salehi M.H., Eghbal M.K. and Khademi H. (2003)., Comparison of soil variability in a detailed and a reconnaissance map in central Iran., Geoderma, 111, 45-56.
  11. Oberthür T., Dobermann A. and Neue H.U. (1996)., How good is a reconnaissance soil map for agronomic purposes?., Soil use and management, 12(1), 33-43.
  12. Hennings V. (2002)., Accuracy of coarse-scale land quality maps as a function of the upscaling procedure used for soil data., Geoderma, 107(3-4), 177-196.
  13. Dent D. and Young A. (1981)., Soil Survey and Land Evaluation., George Allen and Unwin, Boston.
  14. Baker F.G. (1978)., Variability of hydraulic conductivity within and between nine Wisconsin soil series., Water Resources Research, 14, 103-108.
  15. Bouma J., De Laat P.J.M., Van Holst A.F. and Van de Nes T.J. (1980)., Predicting the Effects of Changing Water-Table Levels and Associated Soil Moisture Regimes for Soil Survey Interpretations 1., Soil Science Society of America Journal, 44(4), 797-802.
  16. Breeuwsma A., Vleeshoumer J.J., Van Slobbe A.M. and Bouma J. (1986)., Derivation of land qualities to asses environmental problems from soil survey., Soil Science Society of America Journal, 50, 186-190.
  17. Beven K.J. and Kirkby M.J. (1979)., A physically-based variable contributing area model of basin hydrology., Hydrol. Sci. Bull., 24, 43-69.
  18. Burrough P.A. (1996)., Opportunities and limitations of GIS-based modeling of solute transport at the regional scale., Applications of GIS to the modeling of non-point source pollutants in the vadose zone, (applicationsofg), 19-38.
  19. Corwin D.L., Vaughan P.J. and Loague K. (1997)., Modeling nonpoint source pollutants in the vadose zone with GIS., Environ. Sci. Technology, 31(8), 2157-2175.
  20. Jury W.A. (1986)., Spatial variability of soil properties. Vadose Zone Modeling of Organic Pollutants., Lewis Publishers, Inc., Chelsea Michigan, 245-269, 7 tab, 60 ref.
  21. Kellogg C.E. and Orvedal A.C. (1969)., Potentially arable soils of the world and critical measures for their uses., Advanced Agronomy, 21, 109-170.
  22. Bui E.N. (2004)., Soil survey as a knowledge system., Geoderma, 120, 17-26.
  23. McKenzie N.J., Jacquier D.W., Maschmedt D.J., Griffin E.A. and Brough D.M. (2005)., ASRIS Australian Soil Resource Information System., Technical specifications, Version 1.5. October 2005. Australian Collaborative Evaluation Program.
  24. Hengl T., Rossiter D. and Husnjak S. (2003)., Mapping soil properties from an existing national soil data set using freely available ancillary data., Bangkok.
  25. Kempen B., Dick J., Brus J., Stoorvogel J., Gerard J., Heuvelink B. and de Vries F. (2012)., Efficiency Comparison of Conventional and Digital Soil Mapping for Updating Soil maps., Retrieved, 2012,from,http:// dl.sciencesocieties.org/publications/ssaj/abstracts/0/0/sssaj2011.0424
  26. Platou S.W., Nørr A.H. and Madsen H.B. (1989)., Digitization of the EC Soil Map. In: Agriculture: computerization of land use data., R.J.A Jones and B. Biagi (eds.). EUR 11151 EN, 12-24. Office for Official Publications of the European Communities, Luxembourg.
  27. Jamagne M., Lebas C., King D. and Berland M. (1995)., A geographical database for the soils of central and Eastern Europe., European Commission.
  28. Zhu A., Band L., Vertessy R. and Dutton B. (1997)., Derivation of soil properties using a soil land inference model (SoLIM)., Soil Science Society of America Journal, 61, 523-533.
  29. Zhu A., Hudson B., Burt J., Lubich K. and Simonson D. (2001)., Soil mapping using GIS, expert knowledge, and fuzzy logic., Soil Science Society of America Journal, 65, 1463-1472.
  30. Lilburne L., Hewitt A., Webb T.H. and Carrick S. (2004)., S-map: a new soil database for New Zealand., In SuperSoil 2004: Proceedings of the 3rd Australian New Zealand Soils Conference, Sydney, Australia, 5-9.
  31. National Population Commission (2006)., National population census., Abuja, Nigeria: National Population Commission.