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The application of land evaluation technique in the north-east of Libya

By Bashir Ahmad Bashir Nwer

Abstract

Land evaluation is a prerequisite to achieving optimum utilisation of available land resources for agricultural production. The principal purpose of land evaluation is to predict the potential and the limitations of land for changing use. Food security is one of the most important issues of agriculture policy in Libya. The country aims to obtain self‐sufficiency for its in agricultural products which contribute largely to the diet of most of the population. Therefore, eighty per cent of water transferred from aquifer‐sourced in the south of the country to the north, is planned for agriculture development. Cereal crops such wheat, barley, maize and sorghum are given the highest priority. There is, therefore, a pressing need to develop an optimal land evaluation method to identify in which part of a region these selected crops could e grown favourably. The model should be developed in accordance with the priorities of the Libyan Government in developing a practical and applicable land evaluation system that can be used by the average computer user. The FAO Framework was selected to conduct the land suitability assessment. This selection was based upon extensive and critical review of land evaluation methodologies and an evaluation of the objectives for and of the data available for study area. The FAO framework is a set of guidelines rather than a classification system, and model used builds upon this

Publisher: Cranfield University at Silsoe
Year: 2005
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/1125
Provided by: Cranfield CERES

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Citations

  1. 0.8 -Bashir Nwer PhD Thesis-2005 Appendix E8-17 The scenarios of the sensitivity analysis of Hydraulic Conductivity Scenarios
  2. 0.8 -Bashir Nwer PhD Thesis-2005 Appendix E8-9 The scenarios of the sensitivity analysis of
  3. 10 - 5.3 Bashir Nwer PhD Thesis-2005 Appendix E2-3 The results of the sensitivity analysis of climate for sorghum
  4. 12.8 5.3 Bashir Nwer PhD Thesis-2005 Appendix E1- 4 The results of the weighting schemes for sorghum
  5. 120 Bashir Nwer PhD Thesis-2005 Appendix E5-20 The results of the sensitivity analysis of Hydraulic Conductivity (Barley)
  6. (1000). 20000 Source: (FAOSTAT,
  7. 45 Bashir Nwer PhD Thesis-2005 Appendix E5-8The results of the sensitivity analysis of
  8. 45 Bashir Nwer PhD Thesis-2005 Appendix E6-8The results of the sensitivity analysis of
  9. 5.3 Bashir Nwer PhD Thesis-2005 Appendix E1- 2 The results of the weighting schemes for wheat
  10. 5.3 Bashir Nwer PhD Thesis-2005 Appendix E3-3 The results of the sensitivity analysis of slope for maize
  11. 5.3 Bashir Nwer PhD Thesis-2005 Appendix E4-2 The results of the sensitivity analysis of erosion for wheat
  12. 5.3 Bashir Nwer PhD Thesis-2005 Appendix E5- The results of the sensitivity analysis of Soil characteristics for Barley E5-1 The scenarios of the sensitivity analysis of Rootable depth (Barley) Scenarios
  13. 5.3 E3- The results of the sensitivity analysis of Topography (slope) for the selected crops E3-1 The results of the sensitivity analysis of slope for barley
  14. 5.3 E3-2 The results of the sensitivity analysis of slope for wheat
  15. 5.3 E4- The results of the sensitivity analysis of erosion for the selected crops E4-1 The results of the sensitivity analysis of erosion for barley
  16. 9 Bashir Nwer PhD Thesis-2005 Appendix E5-4 The results of the sensitivity analysis of Soil reaction (pH)
  17. 9 Bashir Nwer PhD Thesis-2005 Appendix E6-4 The results of the sensitivity analysis of Soil reaction (pH)
  18. Abudlhamed Al Shake ( The Director of Great Man Made River (GMMR) ,
  19. (1970). Appendix A Bashir Nwer PhD Thesis-2005 Appendix Table (A1) Population growth in Libya from
  20. arid soils The formation arid (3‐4 annual and doi
  21. Bashir Nwer PhD Thesis-2005 Appendix E1- 3 The results of the weighting schemes for maize
  22. Bashir Nwer PhD Thesis-2005 Appendix E2- The results of the sensitivity analysis of climate (Temperature) for the selected crops E2-1 The results of the sensitivity analysis of climate for barley Scenarios
  23. Bashir Nwer PhD Thesis-2005 Appendix E6- The results of the sensitivity analysis of Soil characteristics for Wheat E6-1 The scenarios of the sensitivity analysis of Rootable depth
  24. Bashir Nwer PhD Thesis-2005 Appendix E7- The results of the sensitivity analysis of Soil characteristics for Maize E7-1 The scenarios of the sensitivity analysis of Rootable depth
  25. Bashir Nwer PhD Thesis-2005 Appendix E7-17The scenarios of the sensitivity analysis of Infiltration Scenarios
  26. Bashir Nwer PhD Thesis-2005 Appendix E7-9 The scenarios of the sensitivity analysis of
  27. Bashir Nwer PhD Thesis-2005 Appendix E8- The results of the sensitivity analysis of Soil characteristics for Sorghum E8-1 The scenarios of the sensitivity analysis of Rootable depth
  28. Bashir Nwer PhD Thesis-2005 Appendix E8-5 The scenarios of the sensitivity analysis
  29. (1973). Bashir Nwer PhD Thesis-2005 Appendix Table (B5) Monthly rainfall (mm) in Benina station, Benghazi for the period from
  30. brown arid soils The area. These soils have developed in different types of landform whose morphology is characterised by a general surface flatness.
  31. Calcium Carbonate percentage (CaCo3%) doi
  32. E5-17The scenarios of the sensitivity analysis of Infiltration Scenarios
  33. E7-8The results of the sensitivity analysis of
  34. E8-8The results of the sensitivity analysis of
  35. Ezzeddin Alteeb Rhoma ( Soil expert in the Faculty of Agriculture,
  36. ferrisiallitic soils Red sub‐humid abrasion‐accumulative Upland. proluvial, characterised clay soluble in Red ferrisiallitic soils develop under variable water and thermal conditions with ferrisillitisation being the chief process.
  37. Formation It very preponderance of physical weathering. The main non‐soil formation in the study from
  38. Khaled Ben Mahmod ( the head of the Libyan Natural Resource project )
  39. Meeting with Dr Ezzeddin Rhoma
  40. Meeting with Dr Khaled
  41. results of the weighting schemes for the selected crops E1-1 The results of the weighting schemes for barley Model
  42. (1995). soils and solonchaks Saline process observed within the close depressions of the coastal plain. The basic salts involved CaCl2, Mahmoud
  43. (2004). Source: (FAOSTAT,
  44. The desert the During the (Mahmoud, leads the
  45. The results of the sensitivity analysis of doi
  46. The results of the sensitivity analysis of climate for maize
  47. The results of the sensitivity analysis of climate for wheat
  48. The results of the sensitivity analysis of erosion for maize
  49. The results of the sensitivity analysis of erosion for sorghum
  50. The results of the sensitivity analysis of Hydraulic Conductivity (Barley)
  51. The results of the sensitivity analysis of Infiltration Scenarios
  52. The results of the sensitivity analysis of Rootable depth (Barley)
  53. The results of the sensitivity analysis of slope for sorghum
  54. The results of the sensitivity analysis of Soil reaction (pH)
  55. The scenarios of the sensitivity analysis doi
  56. The scenarios of the sensitivity analysis of doi
  57. The scenarios of the sensitivity analysis of CEC (Barley)
  58. The scenarios of the sensitivity analysis of Hydraulic Conductivity (Barley)
  59. The scenarios of the sensitivity analysis of Infiltration Scenarios doi
  60. The scenarios of the sensitivity analysis of Soil reaction (pH)
  61. The slope conditions, Lithosols develop mainly on alluvial‐deluvial and eluvial deposits of limestones.
  62. The study area. There are two subtypes of the rendzina in the study area: dark rendzina (RZ) and red rendzina (RZr). The geographical distribution of rendzina doi
  63. This plain Bashir Nwer PhD Thesis-2005 Appendix plate‐like within
  64. Visiting the Library of Agriculture Research

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