Advertisement

Land Management

  • Joseph L. AwangeEmail author
  • John B. Kyalo Kiema
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Land provides the base upon which social, cultural and economic activities are undertaken and as such is of significant importance in environmental monitoring. Social, cultural and economic activities have to be planned and managed in such a way that the sustainable use of land resources is enhanced. Sustainable land use ensures that economic and socio-cultural activities do not benefit at the expense of the environment (see Sect.28.5). Monitoring of changes in land through indicators could help in policy formulation and management issues for the betterment of the environment. Some of the vital indicators for land management include vegetation, soil quality and health, biosolids and waste disposed on land, land evaluation, land use planning, contaminated land, integrity of the food supply chain, mine closure completion criteria, and catchment management, in particular water balance, salinity, eutrophication, and riparian/wetland vegetation. This Chapter presents the possibility of using geoinformatics to enhance the monitoring of some of these indicators.

Keywords

Soil Erosion Digital Elevation Model Land Degradation Recharge Area Western Australia 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Bell RW (1997) Introduction. In: Bell RW (ed) Land management unit reader. Murdoch University, Perth, pp 3–7Google Scholar
  2. Brubaker SC, Jones AJ, Lewis DT, Frank K (1993) Soil properties associated with landscape position. Soil Sci Soc Am J 57(1):235–239CrossRefGoogle Scholar
  3. Buick R (2006) GPS guidance and automated steering renew interest in precision farming techniques. White paper, WestminsterGoogle Scholar
  4. Cassel DK, Kamprath EJ, Simmons FW (1996) NitrogenSulfur relationships in corn as affected by landscape attributes and tillage. Soil Sci Soc Am J 88(2):133–140Google Scholar
  5. Dobermann A, White PF (1999) Strategies for nutrient management in irrigated and rainfed lowland rice systems. In: Balasubramanaian V, Ladha JK, Denning GL (eds) Resource managements in rice Systems: nutrients. Kluwer Academic Publishers, NetherlandsGoogle Scholar
  6. Greenwood EAN, Klein JL, Beresford JD, Watson GD (1985) Differences in annual evapouration between grazed pasture and Eucalyptus species in plantations on a saline farm catchment. J Hydrol 78:261–278CrossRefGoogle Scholar
  7. Grisso RB, Oderwald R, Alley M, Heatwole C (2003) Precision farming tools: global positioning system (GPS). Virginia Cooperative Extension (VCE), publication, Blacksburg, pp 442–503Google Scholar
  8. Grissol RB, Alley M, McClellan P, Brann D, Donohue S (2002) Precision farming: a comprehensive approach. Virginia Cooperative Extension (VCE) publication, Blacksburg, pp 442–500Google Scholar
  9. Ellett KM, Walker JP, Rodell M, Chen JL, Western AW (2005) GRACE gravity fields as a new measure for assessing large-scale hydrological models. In: Zerger A, Argent RM (eds) MODSIM 2005 international congress on modelling and simulation, modelling and simulation society of Australia and New Zealand, pp 2911–2917. ISBN: 0-9758400-2-9Google Scholar
  10. Ellett KM, Walker JP, Western AW, Rodell M (2006) A framework for assessing the potential of remote sensed gravity to provide new insight on the hydrology of the Murray-Darling Basin. Aust J Water Resour 10(2):89–101Google Scholar
  11. Hudson N (1985) Soil Conservation. Batsford Academic and Educational, LondonGoogle Scholar
  12. El-Rabbany A (2006) Introduction to GPS global positioning system, 2nd edn. Artech House, BostonGoogle Scholar
  13. Ismail J, Ravichandran S (2007) RUSLE2 model application for soil erosion assessment using remote sensing and GIS. Water Resour Manag 15:41–54Google Scholar
  14. Jones AJ, Mielke LN, Bartles CA, Miller CA (1989) Relationship of landscape position and properties to crop production. J Soil Water Cons 44(4):328–332Google Scholar
  15. Kgathi DL, Mfundisi KB, Mmopelwa G, Mosepele K (2012) Potential impacts of biofuel development on food security in Botswana: A contribution to energy policy. Energy Policy-Elsevier 43:70–79Google Scholar
  16. Kravchenko AN, Bullock DG (2000) Correlation of corn and soybean grain yield with topography and soil properties. Agron J 92(1):75–83Google Scholar
  17. Lantzke N, Fulton I (1993) Soils of the northam advisory district. The darling range and West Kokeby Zone. Agric WA Bull 3:42–57Google Scholar
  18. Lu D, Li G, Valladares GS, Batistella M (2004) Mapping soil erosion risk in Rondonia, Brazilian Amazonia: using RUSLE, remote sensing and GIS. Land Degrad Dev 15:499–512CrossRefGoogle Scholar
  19. Lufafa A, Tenywa MM, Isabirye M, Majaliwa MJG, Woomer PL (2003) Prediction of soil erosion in a Lake Victoria basin catchment using GIS-based universal soil loss model. Agric Syst 76:883–894CrossRefGoogle Scholar
  20. Mackenzie FT (2003) Our changing planet; an introduction to earth system science and global environmental change, 3rd edn. Prentice Hall, New JerseyGoogle Scholar
  21. Nulsen RA (1984) Saltland management—the catchment approach. Western Australia Department of Agriculture. Farmnote 133/84, AustraliaGoogle Scholar
  22. Onyando JO, Kisoyan P, Chemelil MC (2005) Estimating the potential of soil erosion for river Perkerra catchment in Kenya. Water Resour Manag 19:133–143CrossRefGoogle Scholar
  23. Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resou Manag 21:729–746CrossRefGoogle Scholar
  24. Pieri C (1997) Planning a sustainable land management: the hierarchy of user needs. ITC J 3(4):223–228Google Scholar
  25. Read V (2001) Salinity in Western Australia a situation statement. Resour Manag Tech Rep No.81 3:223–228. ISSN 0729-3135Google Scholar
  26. Schmidt JP, Taylor RK, Gehl RJ (2003) Developing topographic maps using a sub-meter accuracy global positioning system. Appl Eng Agric 19(3):291–300Google Scholar
  27. Schoknecht N, Tille P, Purdie B (2004) Soil landscape mapping in South-Western Australia. Overview of methods and outputs. Resource management technical report 280, Department of Agriculture, Government of Western AustraliaGoogle Scholar
  28. Steede-Terry K (2000) Integrating GIS and the global positioning system. ESRI Press, CaliforniaGoogle Scholar
  29. Timlin DJ, Pachepsky Y, Snyder VA, Bryant RB (1998) Spatial and temporal variability of corn grain yield on a hillslope. Soil Sci Soc Am J 62(3):764–773CrossRefGoogle Scholar
  30. Yang C, Peterson CL, Shropshire GJ, Otawa T (1998) Spatial variability of field topography and wheat yield in the Palouse region of the Pacific Northwest. Trans ASAE 41(1):17–27Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Spatial SciencesCurtin University of TechnologyPerthAustralia
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.Kyoto UniversityKyotoJapan
  4. 4.School of EnvironmentMaseno UniversityKisumuKenya
  5. 5.Geospatial and Space TechnologyUniversity of NairobiNairobiKenya

Personalised recommendations