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Application of Agricultural Land Quality Index Based on Multi Criteria Decision Analysis

Year 2019, , 295 - 307, 31.10.2019
https://doi.org/10.19159/tutad.603503

Abstract

The aim of this study is to develop a land
quality index (LQI) based on expert opinion and multi criteria decision support
approaches specific to the region and to apply it on agricultural lands. The
study was carried out in 7 soil series and 43 land units of Muğla-Dalaman
General Directorate of Agriculture Management with an area of 3338.61 ha,
representing Mediterranean climate ecology. In this study, 13 indicators; I)
Land: soil depth, slope, stoniness and drainage, ii) Physical: available water
capacity, bulk density, texture, iii) Chemical: pH, electrical conductivity
(EC), organic matter content, phosphors, potassium, and total nitrogen which
are representative of one or more of the land and soil characteristics were
selected in the light of expert and literature knowledge. Analytical Hierarchy
Process which is a multi-criteria decision approach was used for pairwise
comparisons of the indicators. As a result of the LQI assessment, 61.56% of the
farmland was classified as “very high” and “high” quality and the agricultural
quality class of the 35.29% of the land was determined as “low” and “very low”
quality and mapped in a geographical information system environment. According
to obtained results it was determined that the final quality index values of the
lands were affected by depth (12.5%), slope (12%), EC (11.1%) and texture
(10.7%) indicators with high weight coefficients. In addition, it has been
suggested that areas with low agricultural quality values can reach to
high-quality classes with some improvement measures (development of drainage
channels, the addition of organic material, removal of stones).

References

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Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması

Year 2019, , 295 - 307, 31.10.2019
https://doi.org/10.19159/tutad.603503

Abstract

Bu çalışmanın amacı bölgeye özgün olarak uzman
görüşü ve çok kriterli karar destek yaklaşımlarına dayalı bir arazi kalite
indisi (AKİ) geliştirmek ve tarım arazilerinde uygulamaktır. Çalışma, Akdeniz
iklim ekolojisini temsilen
3338.61 hektar büyüklüğündeki
Muğla-Dalaman Tarım İşletme Genel Müdürlüğü arazilerine ait 7 toprak serisi ve
43 fazında yürütülmüştür. Araştırmada bölge arazilerini ve toprak
özelliklerinin bir veya daha fazlasını temsil etme niteliğine sahip toplam 13
indikatör; i) Arazi: derinlik, eğim, taşlık ve drenaj, ii) Fiziksel: faydalı su
kapasitesi, hacim ağırlığı, tekstür, iii) Kimyasal: elektriksel iletkenlik
(EC), pH, organik madde, fosfor, potasyum, toplam azot olmak üzere uzman görüşü
ve literatür bilgisi ışığında seçilmiştir. İndikatörlerin ikili
karşılaştırmasında çok kriterli karar destek yaklaşımı olan Analitik Hiyerarşik
Süreç metodu kullanılmıştır. Araştırmada, AKİ değerlendirmesi sonucu işletme
arazilerinin % 61.56’sı “çok yüksek” ve “yüksek” kaliteli olarak
sınıflandırılmış, % 35.29 büyüklüğünde arazinin tarımsal kalite sınıfı “düşük”
ve “çok düşük” nitelikte belirlenmiş ve coğrafi bilgi sistemi ortamında
haritalanmıştır. Çalışma ile bölge arazilerinin kalite son indis değerini
derinlik (% 12.5), eğim (% 12), EC (% 11.1) ve bünye (% 10.7)
indikatörlerinin yüksek oranda ağırlık katsayıları ile
etkilediği
belirlenmiştir. Aynı zamanda tarımsal açıdan düşük kalite değerlerine sahip
arazilerde bazı iyileştirme tedbirlerinin
(drenaj kanallarının
geliştirilmesi organik madde ilavesi, taş toplama)
alınması ile yüksek
kalite sınıflarına ulaşabileceği önerilmiştir.

References

  • Ahmed, G.B., Shariff, A.R.M., Balasundram, S.K., Bin Abdullah, A.F., 2016. Agriculture land suitability analysis evaluation based multi criteria and GIS approach. In IOP Conference Series: Earth and Environmental Science, 37(1): 12-44
  • Akıncı, H., Özalp, A.Y., Turgut, B., 2013. Agricultural land use suitability analysis using GIS and AHP technique. Computers and Electronics in Agriculture, 97: 71-82.
  • Aldababseh, A., Temimi, M., Maghelal, P., Branch, O., Wulfmeyer, V., 2018. Multi-Criteria evaluation of irrigated agriculture suitability to achieve food security in an Arid environment. Sustainability, 10(3): 803.
  • Andrews, S.S., Karlen, D.L., Cambardella, C.A., 2004. The soil management assessment framework: A quantitative soil quality evaluation method. Science Society of America, 68(6): 1945-1962.
  • Anonim, 1982. Dalaman Tarım İşletmesi Topraklarının Detaylı Toprak Etüd ve Haritalanması. TİGEM Yayınları No: 4, Ankara.
  • Anonim, 2014. Fethiye ve Çevresinde İklim Koşulları. (http://www.fto.org.tr/DB_Image/29/170/fethiyevecevresindeiklimkosullari.pdf), (Erişim tarihi: 16.10.2015).
  • Anonymous, 1976. A Framework for Land Evaluation. FAO Soils Bulletin Vol. 32, Food and Agriculture Organization, Rome.
  • Anonymous, 1990. Micronutrient, Assessment at the Country Level: An International Study. FAO Soil Bulletin by Mikko Sillanpaa. Rome.
  • Anonymous, 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys. US Government Printing Office.
  • Anonymous, 2011. Soil Survey Laboratory Methods Manual: Soil Survey Investigations Report. Lincoln, NE.
  • Arshad, M.A., Martin, S., 2002. Identifying critical limits for soil quality indicators in agro-ecosystems. Ecosystems & Environment, 88: 153-160.
  • Askari, M.S., Holden, N.M., 2014. Indices for quantative evaluation of soil quality under grassland management. Geoderma, 230: 131-142.
  • Baridón, J.E., Casas, R.R., 2014. Quality indicators in subtropical soils of formosa, Argentina: changes for agriculturization process. International Soil and Water Conservation Research, 2(4): 13-24.
  • Barraclough, P.B., 1989. Root growth, macro-nutrient uptake dynamics and soil fertility requirements of a high-yielding winter oilseed rape crop. Plant and Soil, 119: 59-70.
  • Bilgin, Z.R., Metin, Y., Çörekçioğlu, E., Bilgiç, T., Şan, Ö., 1997. Bozburun-Marmaris-Köyceğiz-Dalaman (Muğla) Dolayının Jeolojisi: MTA, Rapor No: 10008, Ankara.
  • Blake, G.R., Hartge, K.H. 1986. Bulk density. In: A. Klute (Ed), Methods of Soil Analysis. Part 1, Physical and Mineralogical Methods, Soil Science Society of America, Madison, pp. 363-376.
  • Bremner, J.M., Mulvaney, C.S. 1982. Nitrogen-Total. In: A.L. Page (Ed.), Methods of Soil Analysis, Part 2: Chemical and Microbiological Properties, American Society of Agronomy, Inc., and Soil Science Society of America, Inc., Madison, pp. 595-624.
  • Bydekerke, L., Van Ranst, E., Vanmechelen, L., Groenemans, R., 1998. Land suitability assessment for Cherimoya in Southern Ecuador using expert knowledge and GIS. Agriculture, Ecosystems & Environment, 69(2): 89-98.
  • Ceballos S.A., López, B.J., 2003. Delineation of suitable areas for crops using a multi-criteria evaluation approach and land use/cover mapping: A case study in Central Mexico. Agricultural Systems, 77: 117-136.
  • De La Rosa, D., Van Diepen, C.A., 2009. Qualitative and Quantitative Land Evaluations. In: W.H. Verheye (Ed.), Encyclopedia of Land Use, Land Cover and Soil Sciences-Volume II, Eolss Publishers, Oxford, United Kingdom.
  • Dengiz, O., 2019. Soil quality index for paddy fields based on standard scoring functions and weight allocation method. Archives of Agronomy and Soil Science, 1-15.
  • Dengiz, O., Baksan, O., 2009. Land quality assessment and sustainable land use in Salt Lake specially protected area. Journal of Environmental Monitoring and Assessment, 148(1-4): 233-243.
  • Dengiz, O., Özyazıcı, M.A., Sağlam, M., 2015. Multi-Criteria assessment and geostatistical approach for determination of rice growing suitability sites in Gökırmak Catchment. Paddy Water Environment, 13(1): 1-10.
  • Dengiz, O., Özyazıcı, M.A., 2018. Çeltik tarımına uygun alanların belirlenmesinde çok kriterli arazi değerlendirme. Toprak Bilimi ve Bitki Besleme Dergisi, 6(1): 19-28.
  • Dengiz, O., Sarıoğlu, F.E., 2013. Parametric approach with linear combination technique in land evaluation studies. Journal of Agricultural Sciences, 19(2): 101-112.
  • Dengiz, O., Şişman, A., Gülser, C., Şişman, Y., 2014. Alternative approach for land quality classification used for land consolidatin. Soil and Water Journal, 3(1): 59-69.
  • Doran, J.W., Parkin, T.B., 1996. Quantitative Indicators of Soil Quality: a Minimum Data Set. In: J.W. Doran, A.J. Jones, (Eds.), Methods for Assessing Soil Quality, Soil Science Society of America Special Publication, Madison, pp, 25-37.
  • Eastman, J.R., Jiang, H., 1996. Fuzzy Measures in Multi-Criteria Evaluation. United States Department of Agriculture Forest Service General Technical Report RM, pp. 527-534.
  • Gezgin, S., Hamurcu, M., 2006. Bitki beslemede besin elementleri arasındaki etkileşimin önemi ve bor ile diğer besin elementleri arasındaki etkileşimler. Selcuk Journal of Agriculture and Food Sciences, 20(39): 24-31.
  • Guo, L.J., Zhang, Z.S., Wang, D.D., Li, C.F., Cao, C.G., 2015. Effects of short-term conservation management practices on soil organic carbon fractions and microbial community composition under a rice-wheat rotation system. Biology and Fertility of Soils, 51(1): 65-75.
  • Hazelton, P., Murphy, B., 2007. Interpreting Soil Test Results, What Do All the Numbers Mean. Commonwealth Scientific and Industrial Research Organization Publishing, Australia.
  • Huddleston, J.H., Pease, J.R., Forrest, W.G., Hickerson, H.J., Langridge, R.W., 1987. Use of agricultural land evaluation and site assessment in Linn County, Oregon, USA. Environmental Management, 11(3): 389-405.
  • Imaz, M.J., Virto,I., Bescansa,P., Enrique,A., Fernandez, A.O., Karlen, D.L., 2010. Soil quality indicator response to tillage and residue management on semi-arid Mediterranean cropland. Soil and Tillage Research, 107(1): 17-25.
  • Iojă, C.I., Niţă, M.R., Vânău, G.O., Onose, D.A., Gavrilidis, A.A., 2014. Using multi-criteria analysis for the identification of spatial land-use conflicts in the Bucharest Metropolitan area. Ecological Indicators, 42: 112-121.
  • Jenks, G.F., 1967. The data model concept in statistical mapping. International Yearbook of Cartography, 7: 186-190.
  • Jiang, Z., Feng, C., Huang, L., Guo, W., Zhu, X., Peng, Y., 2006. Effects of phosphorus application on dry matter production and phosphorus uptake in wheat (Triticum aestivum L.). Plant Nutrition and Fertilizer Science, 26(5): 489-497.
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There are 75 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Mert Dedeoğlu 0000-0001-8611-3724

Levent Başayiğit 0000-0003-2431-5763

Mahmut Yüksel 0000-0002-5001-2048

Publication Date October 31, 2019
Published in Issue Year 2019

Cite

APA Dedeoğlu, M., Başayiğit, L., & Yüksel, M. (2019). Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması. Türkiye Tarımsal Araştırmalar Dergisi, 6(3), 295-307. https://doi.org/10.19159/tutad.603503
AMA Dedeoğlu M, Başayiğit L, Yüksel M. Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması. TÜTAD. October 2019;6(3):295-307. doi:10.19159/tutad.603503
Chicago Dedeoğlu, Mert, Levent Başayiğit, and Mahmut Yüksel. “Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması”. Türkiye Tarımsal Araştırmalar Dergisi 6, no. 3 (October 2019): 295-307. https://doi.org/10.19159/tutad.603503.
EndNote Dedeoğlu M, Başayiğit L, Yüksel M (October 1, 2019) Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması. Türkiye Tarımsal Araştırmalar Dergisi 6 3 295–307.
IEEE M. Dedeoğlu, L. Başayiğit, and M. Yüksel, “Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması”, TÜTAD, vol. 6, no. 3, pp. 295–307, 2019, doi: 10.19159/tutad.603503.
ISNAD Dedeoğlu, Mert et al. “Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması”. Türkiye Tarımsal Araştırmalar Dergisi 6/3 (October 2019), 295-307. https://doi.org/10.19159/tutad.603503.
JAMA Dedeoğlu M, Başayiğit L, Yüksel M. Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması. TÜTAD. 2019;6:295–307.
MLA Dedeoğlu, Mert et al. “Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması”. Türkiye Tarımsal Araştırmalar Dergisi, vol. 6, no. 3, 2019, pp. 295-07, doi:10.19159/tutad.603503.
Vancouver Dedeoğlu M, Başayiğit L, Yüksel M. Çok Kriterli Karar Verme Analizine Dayalı Tarımsal Amaçlı Arazi Kalite İndisi Uygulaması. TÜTAD. 2019;6(3):295-307.

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