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Multi-criteria approach with linear combination technique and analytical hierarchy process in land evaluation studies

Year 2018, Volume: 7 Issue: 1, 20 - 29, 01.01.2018
https://doi.org/10.18393/ejss.328531

Abstract

Land
evaluation analysis is a prerequisite to achieving optimum utilization of the
available land resources. Lack of knowledge on best combination of factors that
suit production of yields has contributed to the low production. The aim of
this study was to determine the most suitable areas for agricultural uses. For
that reasons, in order to determine land suitability classes of the study area,
multi-criteria approach was used with linear
combination technique and analytical hierarchy process by taking into
consideration of some land and soil physico-chemical characteristic such as
slope, texture, depth, derange, stoniness, erosion, pH, EC, CaCO3
and organic matter. These data and land mapping unites were taken from digital
detailed soil map scaled as 1:5.000. In addition, in order to was produce land
suitability map GIS was program used for the study area. This study was carried
out at Mahmudiye, Karaamca, Yazılı, Çiçeközü, Orhaniye and Akbıyık villages in
Yenişehir district of Bursa province. Total study area is 7059 ha. 6890 ha of total study area has been used
as irrigated agriculture, dry farming agriculture, pasture while, 169 ha has
been used for non-agricultural activities such as settlement, road water body
etc. Average annual temperature and precipitation of the study area are 16.1oC
and 1039.5 mm, respectively. Finally after determination of land suitability
distribution classes for the study area, it was found that 15.0% of the study
area has highly (S1) and moderately (S2) while, 85% of the study area has
marginally suitable and unsuitable coded as S3 and N. It was also determined
some relation as compared results of linear combination technique with other
hierarchy approaches such as Land Use Capability Classification and
Suitability Class for Agricultural Use methods.

References

  • Addeo, G., Guastadisegni, G., Pisante, M., 2001. Land and water quality for sustainable and precision farming. 1st World Congress on Conservation Agriculture, 1-5 October, 2001, Madrid, Spain.
  • Anonymous. 1970. Bursa İli Arazi Varlığı. Tarım ve Köyişleri Bakanlığı, Ankara, Turkey. [in Turkish]
  • Bhushan, N., Rai, K., 2004. Strategic decision making: Applying the analytic hierarchy process. Springer-Verlag, New York, USA. 172p.
  • Delgado, F., Lopez, R., 1998. Evaluation of soil development impact on the productivity of Venezuelan Soils. Advances in GeoEcology 31: 133-142
  • Dengiz, O., Bayramin, İ., Yüksel, M., 2003. Geographic information system and remote sensing based land resource assessment, land evaluation of beypazarı area soils by ILSEN method. Turkish Journal of Agriculture and Forestry 27: 145-153.
  • Dengiz, O., Özyazıcı, M.A, Sağlam, M., 2015. Multi-criteria assessment and geostatistical approach for determination of rice growing suitability sites in Gokirmak catchment. Paddy Water Environment 13(1): 1–10.
  • Dengiz, O., Sarıoğlu, F.E., 2013. Arazi Değerlendirme Çalışmalarında Parametrik Bir Yaklaşım Olan Doğrusal Kombinasyon Tekniği. Tarım Bilimleri Dergisi 19(2): 101-112. [in Turkish]
  • FAO, 1976. A framework for land evaluation: FAO Soils Bulletin No. 32, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/x5310e/x5310e00.htm
  • FAO, 1983. Guidelines. Land evaluation for rainfed agriculture. FAO Soils Bulletin No. 52, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/018/t0412e/t0412e.pdf
  • FAO, 1985. Guidelines. Land evaluation for irrigated agriculture. FAO Soils Bulletin No. 55, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/x5648e/x5648e00.htm
  • FAO, 1993. Guidelines for land-use planning. FAO Development Series 1, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/t0715e/t0715e00.htm
  • Klingebiel, A.A., Montgomery, P.H., 1966. Land Capability Classification. United States Department of Agriculture. Handbook No. 210, Washington, USA.
  • McRae, S.G., Burnham, C.P., 1981. Land Evaluation. Clarendon Press, Oxford, UK. 239 p.
  • Mustafa, A.A., Man, S., Sahoo, R.N., Nayan, A., Manoj, K., Sarangi, A., Mishra, A.K., 2011. Land suitability analysis for different crops: a multi criteria decision making approach using remote sensing and GIS. Researcher 3 (12): 61-84.
  • Nisar Ahamed, T.R., Gopal Rao K., Murthy, J.S.R., 2000. GIS-based fuzzy membership model for crop-land suitability analysis. Agricultural Systems 63(2): 75-95.
  • Rabia, H.A, Terribile, F., 2013. Introducing a new parametric concept for land suitability assessment. International Journal of Environmental Science and Development 4(1): 15-19.
  • Rezaei-Moghaddam, K., Karami, E., 2008. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability 10(4): 407–426.
  • Saaty, T,. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw Hill International, New York, USA. 287p.
  • Saaty, T., 1993. The analytic hierarchy process: A 1993 overview. Central European Journal of Operation Research and Economics 2: 119–137.
  • Saaty, T., Vargas, L., 2001. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Kluwer Academic Publishers, Boston. USA. 331p.
  • Senol, S., Tekes, Y., 1995 Arazi değerlendirme ve arazi kullanım planlaması amacıyla geliştirilmiş bir bilgisayar modeli. Türkiye Toprak Ilmi Dernegi. İlhan Akalan Toprak ve Çevre Sempozyumu, Cilt 1, Ankara, Turkey. pp. 204–210. [in Turkish]
  • Sonmez, K., 1994. Toprak ve Su Koruma. Atatürk Üniversitesi Ziraat Fakültesi Yayınları No: 169, Erzurum, Turkey. [in Turkish]
  • Storie, R.E., 1938. An index for rating the agricultural valuve of soils. Bulletin 556. University of California, College of Agriculture, Agricultural Experiment Station Berkeley, California, USA. 46p.
  • Sys, C., Van Ranst, E., Debaveye, J., 1991. Land evaluation part I Principles in land evaluation and crop production calculations. General administration for development cooperation (GADC), Agricultural Publications No. 7, Brussels, Belgium. pp.40-80.
  • Vargahan, B., Shahbazi, F., Hajrasouli, M., 2011. Quantitative and qualitative land suitability evaluation for maize cultivation in ghobadlou region, Iran. Ozean Journal of Applied Sciences 4(1): 91-104.
Year 2018, Volume: 7 Issue: 1, 20 - 29, 01.01.2018
https://doi.org/10.18393/ejss.328531

Abstract

References

  • Addeo, G., Guastadisegni, G., Pisante, M., 2001. Land and water quality for sustainable and precision farming. 1st World Congress on Conservation Agriculture, 1-5 October, 2001, Madrid, Spain.
  • Anonymous. 1970. Bursa İli Arazi Varlığı. Tarım ve Köyişleri Bakanlığı, Ankara, Turkey. [in Turkish]
  • Bhushan, N., Rai, K., 2004. Strategic decision making: Applying the analytic hierarchy process. Springer-Verlag, New York, USA. 172p.
  • Delgado, F., Lopez, R., 1998. Evaluation of soil development impact on the productivity of Venezuelan Soils. Advances in GeoEcology 31: 133-142
  • Dengiz, O., Bayramin, İ., Yüksel, M., 2003. Geographic information system and remote sensing based land resource assessment, land evaluation of beypazarı area soils by ILSEN method. Turkish Journal of Agriculture and Forestry 27: 145-153.
  • Dengiz, O., Özyazıcı, M.A, Sağlam, M., 2015. Multi-criteria assessment and geostatistical approach for determination of rice growing suitability sites in Gokirmak catchment. Paddy Water Environment 13(1): 1–10.
  • Dengiz, O., Sarıoğlu, F.E., 2013. Arazi Değerlendirme Çalışmalarında Parametrik Bir Yaklaşım Olan Doğrusal Kombinasyon Tekniği. Tarım Bilimleri Dergisi 19(2): 101-112. [in Turkish]
  • FAO, 1976. A framework for land evaluation: FAO Soils Bulletin No. 32, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/x5310e/x5310e00.htm
  • FAO, 1983. Guidelines. Land evaluation for rainfed agriculture. FAO Soils Bulletin No. 52, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/018/t0412e/t0412e.pdf
  • FAO, 1985. Guidelines. Land evaluation for irrigated agriculture. FAO Soils Bulletin No. 55, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/x5648e/x5648e00.htm
  • FAO, 1993. Guidelines for land-use planning. FAO Development Series 1, Food and Agriculture Organization of The United Nations, Rome, Italy. Available at [Access date: 15.02.2017]: http://www.fao.org/docrep/t0715e/t0715e00.htm
  • Klingebiel, A.A., Montgomery, P.H., 1966. Land Capability Classification. United States Department of Agriculture. Handbook No. 210, Washington, USA.
  • McRae, S.G., Burnham, C.P., 1981. Land Evaluation. Clarendon Press, Oxford, UK. 239 p.
  • Mustafa, A.A., Man, S., Sahoo, R.N., Nayan, A., Manoj, K., Sarangi, A., Mishra, A.K., 2011. Land suitability analysis for different crops: a multi criteria decision making approach using remote sensing and GIS. Researcher 3 (12): 61-84.
  • Nisar Ahamed, T.R., Gopal Rao K., Murthy, J.S.R., 2000. GIS-based fuzzy membership model for crop-land suitability analysis. Agricultural Systems 63(2): 75-95.
  • Rabia, H.A, Terribile, F., 2013. Introducing a new parametric concept for land suitability assessment. International Journal of Environmental Science and Development 4(1): 15-19.
  • Rezaei-Moghaddam, K., Karami, E., 2008. A multiple criteria evaluation of sustainable agricultural development models using AHP. Environment, Development and Sustainability 10(4): 407–426.
  • Saaty, T,. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw Hill International, New York, USA. 287p.
  • Saaty, T., 1993. The analytic hierarchy process: A 1993 overview. Central European Journal of Operation Research and Economics 2: 119–137.
  • Saaty, T., Vargas, L., 2001. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Kluwer Academic Publishers, Boston. USA. 331p.
  • Senol, S., Tekes, Y., 1995 Arazi değerlendirme ve arazi kullanım planlaması amacıyla geliştirilmiş bir bilgisayar modeli. Türkiye Toprak Ilmi Dernegi. İlhan Akalan Toprak ve Çevre Sempozyumu, Cilt 1, Ankara, Turkey. pp. 204–210. [in Turkish]
  • Sonmez, K., 1994. Toprak ve Su Koruma. Atatürk Üniversitesi Ziraat Fakültesi Yayınları No: 169, Erzurum, Turkey. [in Turkish]
  • Storie, R.E., 1938. An index for rating the agricultural valuve of soils. Bulletin 556. University of California, College of Agriculture, Agricultural Experiment Station Berkeley, California, USA. 46p.
  • Sys, C., Van Ranst, E., Debaveye, J., 1991. Land evaluation part I Principles in land evaluation and crop production calculations. General administration for development cooperation (GADC), Agricultural Publications No. 7, Brussels, Belgium. pp.40-80.
  • Vargahan, B., Shahbazi, F., Hajrasouli, M., 2011. Quantitative and qualitative land suitability evaluation for maize cultivation in ghobadlou region, Iran. Ozean Journal of Applied Sciences 4(1): 91-104.
There are 25 citations in total.

Details

Journal Section Articles
Authors

Orhan Dengiz

Mustafa Usul This is me

Publication Date January 1, 2018
Published in Issue Year 2018 Volume: 7 Issue: 1

Cite

APA Dengiz, O., & Usul, M. (2018). Multi-criteria approach with linear combination technique and analytical hierarchy process in land evaluation studies. Eurasian Journal of Soil Science, 7(1), 20-29. https://doi.org/10.18393/ejss.328531

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