Research Article
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Year 2021, Volume: 10 Issue: 3, 222 - 235, 01.07.2021
https://doi.org/10.18393/ejss.912986

Abstract

References

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  • Budak, M., Günal, H., Çelik, İ., Yıldız, H., Acir, N., Acar, M., 2018. Environmental sensitivity to desertification in northern Mesopotamia; application of modified MEDALUS by using analytical hierarchy process. Arabian Journal of Geosciences 11: 481.
  • Callesen, I., Clarke, N., Lazdinš, A., Varnagiryte-Kabasinskiene, I., Raulund-Rasmussen, K., 2019. Nutrient release capability in Nordic and Baltic forest soils determined by dilute nitric acid extraction – Relationships with indicators for soil quality, pH and sustainable forest management. Ecological Indicators 96: 540-547.
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  • Cotching, W.E., Kidd, D.B., 2010. Soil quality evaluation and the interaction with land use and soil order in Tasmania, Australia. Agriculture, Ecosystems and Environment 137(3-4): 358–366.
  • De Paola, F., Ducci, D., Giugni, M., 2013. Desertification and erosion sensivity. A case study southern Italy: the Tusciano river catchment. Environmental Earth Science 70: 2179-2190.
  • de Paul Obade, V., Lal, R., 2016. Towards a standard technique for soil quality assessment. Geoderma 265: 96–102.
  • Demirağ Turan, İ., Dengiz, O., Özkan, B., 2019. Spatial assessment and mapping of soil quality index for desertification in the semi-arid terrestrial ecosystem using MCDM in interval type-2 fuzzy environment. Computers and Electronics in Agriculture 164; 1004933.
  • Dengiz, O., Özden, Ş., Başkan, O., Özcan, H., 2004. Determination of soil quality index of bala statefarm soils according to the medalus methodology. International Soil Congress on Natural Resource Management for Sustainable Development 7-10 June 2004, Erzurum, Turkey.
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  • Fu, B.J., Liu, S.L., Chen, L.D., Lu, Y.H., Qiu, J., 2004. Soil quality regime in relation to land cover and slope position across a highly modified slope landscape. Ecological Research 19: 111–118.
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  • Govaerts, B., Sayre, K.D., Deckers, J., 2006. A minimum data set for soil quality assessment of wheat and maize cropping in the highlands of Mexico. Soil and Tillage Research 87: 163–174..
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  • Kadıoğlu, M., 2012. Türkiye'de İklim Değişikliği Risk Yönetimi. Türkiye’nin İklim Değişikliği II. Ulusal Bildiriminin Hazırlanması Projesi Yayını. T.C. Çevre ve Şehircilik Bakanlığı, Ankara, Turkey. 172p. [in Turkish]
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  • Kladivko, E.J., Helmers, M.J., Abendroth, L.J., Herzmann, D., ....... Villamil, M.B., 2014. Standardized research protocols enable transdisciplinary research of climate variation impacts in corn production systems. Journal of Soil and Water Conservation 69(6): 532–542.
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  • Nabiollahi, K., Taghizadeh-Mehrjardi, R., Kerry, R., Moradian, S., 2017. Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran. Ecological Indicators 83: 482–494.
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Spatio analysis of soil quality assessment in semi-arid ecosystem using a minimum data set

Year 2021, Volume: 10 Issue: 3, 222 - 235, 01.07.2021
https://doi.org/10.18393/ejss.912986

Abstract

Land degradation especially as a result of the rapid increase in demand and pressure in the population, have emerged as one of the most important problems. Many model approaches, especially regarding land degradation and desertification, have been developed and continue to be developed on the world. The MEDALUS (Mediterranean Desertification and Land Use) which is one of the famous models has been developed for an environment assessment program contributed to by 31 groups and 10 countries in 1999. This model includes the Environmental Sensitive Areas (ESA) index include climate, soil, land use-land cover, and management index. This current study aims to evaluate the soil quality indexes by using the total data set (TDS) and minimum data set (MDS) of the lands in Konya Basin, which is an arid and semiarid terrestrial ecosystem, with MEDALUS approach. The TDS consisted of nine soil quality parameters measured on 1019 samples: pH, Electrical Conductivity (EC), Organic Matter (OM), texture, CaCO3, depth, parent material, and slope. In addition, Principal components analysis (PCA) was used to determine which parameters were to be selected in the MDS. The MDS parameters consisted of slope, pH, OM, CaCO3. After those process, different interpolation models in order to create spatial distribution maps of parameters and SQI (Soil Quality Index). Results classified 13.59% of the total area has as low, while 84.110% of the study area’ soil indicated area moderate by the SQI in terms of. Accordingly MDS, it was determined that 80.41% of the study area was in the medium-quality category, while only 2.01% was in the high-quality category. In the study area, minimum data set is seen that similar to the soil quality distribution in the total data set.

References

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  • Govaerts, B., Sayre, K.D., Deckers, J., 2006. A minimum data set for soil quality assessment of wheat and maize cropping in the highlands of Mexico. Soil and Tillage Research 87: 163–174..
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  • Kladivko, E.J., Helmers, M.J., Abendroth, L.J., Herzmann, D., ....... Villamil, M.B., 2014. Standardized research protocols enable transdisciplinary research of climate variation impacts in corn production systems. Journal of Soil and Water Conservation 69(6): 532–542.
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  • Nabiollahi, K., Golmohamadi, F., Taghizadeh-Mehrjardi, R., Kerry, R., Davari, M., 2018. Assessing the effects of slope gradient and land use change on soil quality degradation through digital mapping of soil quality indices and soil loss rate. Geoderma 318: 16-28.
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Details

Primary Language English
Journal Section Articles
Authors

İnci Demirağ Turan This is me 0000-0002-5810-6591

Publication Date July 1, 2021
Published in Issue Year 2021 Volume: 10 Issue: 3

Cite

APA Demirağ Turan, İ. (2021). Spatio analysis of soil quality assessment in semi-arid ecosystem using a minimum data set. Eurasian Journal of Soil Science, 10(3), 222-235. https://doi.org/10.18393/ejss.912986