Araştırma Makalesi
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Yıl 2021, Cilt: 10 Sayı: 3, 222 - 235, 01.07.2021
https://doi.org/10.18393/ejss.912986

Öz

Kaynakça

  • Abuzaid, A.S., Abdellatif, A.D., Fadl, M.E., 2021. Modeling soil quality in Dakahlia Governorate, Egypt using GIS techniques. The Egyptian Journal of Remote Sensing and Space Science [in press]
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  • Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002. A comparison of soil quality indices methods for vegetable production system in northern California. Agriculture, Ecosystems & Environment 90: 25–45.
  • Ayoubi, A., Emami, N., Ghaffari, N., Honarjoo, N., Sahrawat, K.L., 2014. Pasture degradation effects on soil quality indicators at different hill slope positions in a semiarid region of western Iran. Environmental Earth Sciences 71: 375–381.
  • Babaev, A.G., 1985. Methodological principles of desertification processes assessment and mapping, Ashgabat, Turkmenistan. Desert Research Institute, Ashgabat, Turkmenistan. 72p.
  • Bayramin, İ., 2003. Beypazari topraklarinin MEDALUS metoduna göre toprak kalite indekslerinin belirlenmesi. Harran Üniversitesi Ziraat Fakültesi Dergisi 7 (3-4): 29-35. [in Turkish]
  • Bhogal, A., Nicholson, F.A., Young, I., Sturrock, C., Whitmore, A.P., Chambers, B.J., 2011. Effects of recent and accumulated livestock manure carbon additions on soil fertility and quality. European Journal of Soil Science 62(1): 174–181.
  • Bouyoucos, G.J., 1962. Hydrometer method improvement for making particle size analysis of soils. Agronomy Journal 54(5): 179-186.
  • 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.
  • Chodak, M., Niklińska, M. 2010. Effect of texture and tree species on microbial properties of mine soils. Applied Soil Ecological 46: 268–275.
  • Contador, J.L., Schnabel, S., Gutiérrez, A.G., Fernández, M.P., 2009 Mapping sensitivity to land degradation in Extremadura. SW Spain. Land Degradation & Development 20(2): 129-144.
  • Corwin, D.L., Lesch, S.M., 2005. Characterizing soil spatial variability with apparent soil electrical conductivity: Part II. Case study. Computers and Electronics in Agriculture 46(1-3): 135–152.
  • Corwin, D.L., Lesch, S.M., Oster, J.D., Kaffka, S.R., 2006. Monitoring management-induced spatio–temporal changes in soil quality through soil sampling directed by apparent electrical conductivity. Geoderma 131(3-4): 369 – 387.
  • 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.
  • Doran, J.W., Parkin, B.T., 1994. Defining and assessing soil quality. In: Defining Soil Quality for a Sustainable Environment. Doran, J.W., Coleman, D.C., Bezdicek, D.F., Stewart, B.A. (Eds.). Soil Science Society of America Inc., Madison, WI, USA, pp. 3–21.
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  • FAO-UNEP, 1984. Provisional methodology for assessment and mapping of desertification. Food and Agriculture Organization of the United Nations /United Nations Environmental Programme. Rome, Italy. 84p.
  • Franzluebbers, A.J., Stuedemann, J.A., 2009. Soil-profile organic carbon and total nitrogen during 12 years of pasture management in the Southern Piedmont USA. Agriculture, Ecosystems and Environment 129(1-3): 28–36.
  • 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.
  • GIWA, 2001. DPSIR framework for state of environment reporting (Driving Forces–Pressures–State–Impacts– Responses). Global International Water Assessment, European Environment Agency. 104p.
  • 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..
  • İnan, N., Şen, E., Başaran, N., 2006. Konya Ovasının İklimi. Devlet Meteoroloji İşleri Genel Müdürlüğü No: 4, Ankara, Turkey. [in Turkish]
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  • Jackson, M.L., 1958. Soil Chemical Analysis, Prentice Hall Inc. Englewood Cliffs, New Jersey, USA. 498p.
  • Johnson, C.K., Doran, J.W., Duke, H.R., Weinhold, B.J., Eskridge, K.M., Shanahan, J.F., 2001. Field-scale electrical conductivity mapping for delineating soil condition. Soil Science Society America Journal 65(6): 1829 – 1837.
  • Juhos, K., Czigány, S., Madarász, B., Ladányi, M., 2019. Interpretation of soil quality indicators for land suitability assessment – A multivariate approach for Central European arable soils. Ecological Indicators 99: 261-272.
  • 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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  • Khormali, F., Ajami, A., Ayoubi, S., Srinivasarao, C.H., Wani, S.P., 2009. Role of deforestation and hillslope position on soil quality attributes of loess-derived soils in Golestan province, Iran. Agriculture, Ecosystems and Environment 134: 178–189.
  • 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.
  • Kosmas, C., Gerontidis, St., Detsis, V., Zafiriou, Th., Marathianou, M., 1999b. The island of Lesvos (Greece). In: The MEDALUS Project: Mediterranean desertification and land use. Manual on key indicators of desertification and mapping environmentally sensitive areas to desertification. Kosmas, C., Kirkby, M., Geeson, N., (Eds.). European European Commission, Community Research, Project Report. pp.66-73.
  • Kosmas, C., Kirkby, M.J., Geeson, N., 1999a. The MEDALUS Project: Mediterranean desertification and land use. Manual on key indicators of desertification and mapping environmentally sensitive areas to desertification. European European Commission, Community Research, Project Report. 88p.
  • Lahlaoi, H., Rhinane, H., Hilali, A., Lahssini, S., Moukrim, S., 2017. Desertification assessment using MEDALUS model in watershed Oued El Maleh, Morocco. Geosciences 7(3): 50.
  • Mijangos, I., Garbisu, C., 2010. Consequences of soil sampling depth during the assessment of the effects of tillage and fertilization on soil quality: a common oversight. Soil and Tillage Research 109(2): 169–173.
  • 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.
  • 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.
  • Oldeman, L.R., Hakkelingr, T.A., Sombroek, W.G., 1991. World Map of the Status of Human-induced Soil Degradation (GLASOD): An explanatory note. International Soil Reference and Information Centre (ISRIC)/ United Nations Environment Programme (UNEP), Nairobi, Kenya. 27p.
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Spatio analysis of soil quality assessment in semi-arid ecosystem using a minimum data set

Yıl 2021, Cilt: 10 Sayı: 3, 222 - 235, 01.07.2021
https://doi.org/10.18393/ejss.912986

Öz

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.

Kaynakça

  • Abuzaid, A.S., Abdellatif, A.D., Fadl, M.E., 2021. Modeling soil quality in Dakahlia Governorate, Egypt using GIS techniques. The Egyptian Journal of Remote Sensing and Space Science [in press]
  • Allouche, K.F., Gad, A., 2014. A comparison of methods for mapping the environmental sensitivity areas for desertification of a Mediterranean landscape using remote sensing and GIS applications. European Academic Research II(8): 10233-10253. Available at [Access date: 10.05.2020]: http://euacademic.org/UploadArticle/1070.pdf
  • Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002. A comparison of soil quality indices methods for vegetable production system in northern California. Agriculture, Ecosystems & Environment 90: 25–45.
  • Ayoubi, A., Emami, N., Ghaffari, N., Honarjoo, N., Sahrawat, K.L., 2014. Pasture degradation effects on soil quality indicators at different hill slope positions in a semiarid region of western Iran. Environmental Earth Sciences 71: 375–381.
  • Babaev, A.G., 1985. Methodological principles of desertification processes assessment and mapping, Ashgabat, Turkmenistan. Desert Research Institute, Ashgabat, Turkmenistan. 72p.
  • Bayramin, İ., 2003. Beypazari topraklarinin MEDALUS metoduna göre toprak kalite indekslerinin belirlenmesi. Harran Üniversitesi Ziraat Fakültesi Dergisi 7 (3-4): 29-35. [in Turkish]
  • Bhogal, A., Nicholson, F.A., Young, I., Sturrock, C., Whitmore, A.P., Chambers, B.J., 2011. Effects of recent and accumulated livestock manure carbon additions on soil fertility and quality. European Journal of Soil Science 62(1): 174–181.
  • Bouyoucos, G.J., 1962. Hydrometer method improvement for making particle size analysis of soils. Agronomy Journal 54(5): 179-186.
  • 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.
  • Chodak, M., Niklińska, M. 2010. Effect of texture and tree species on microbial properties of mine soils. Applied Soil Ecological 46: 268–275.
  • Contador, J.L., Schnabel, S., Gutiérrez, A.G., Fernández, M.P., 2009 Mapping sensitivity to land degradation in Extremadura. SW Spain. Land Degradation & Development 20(2): 129-144.
  • Corwin, D.L., Lesch, S.M., 2005. Characterizing soil spatial variability with apparent soil electrical conductivity: Part II. Case study. Computers and Electronics in Agriculture 46(1-3): 135–152.
  • Corwin, D.L., Lesch, S.M., Oster, J.D., Kaffka, S.R., 2006. Monitoring management-induced spatio–temporal changes in soil quality through soil sampling directed by apparent electrical conductivity. Geoderma 131(3-4): 369 – 387.
  • 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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  • Franzluebbers, A.J., Stuedemann, J.A., 2009. Soil-profile organic carbon and total nitrogen during 12 years of pasture management in the Southern Piedmont USA. Agriculture, Ecosystems and Environment 129(1-3): 28–36.
  • 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.
  • GIWA, 2001. DPSIR framework for state of environment reporting (Driving Forces–Pressures–State–Impacts– Responses). Global International Water Assessment, European Environment Agency. 104p.
  • 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..
  • İnan, N., Şen, E., Başaran, N., 2006. Konya Ovasının İklimi. Devlet Meteoroloji İşleri Genel Müdürlüğü No: 4, Ankara, Turkey. [in Turkish]
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  • Johnson, C.K., Doran, J.W., Duke, H.R., Weinhold, B.J., Eskridge, K.M., Shanahan, J.F., 2001. Field-scale electrical conductivity mapping for delineating soil condition. Soil Science Society America Journal 65(6): 1829 – 1837.
  • Juhos, K., Czigány, S., Madarász, B., Ladányi, M., 2019. Interpretation of soil quality indicators for land suitability assessment – A multivariate approach for Central European arable soils. Ecological Indicators 99: 261-272.
  • 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]
  • Karaca, S., Dengiz, O., Demirağ Turan, İ., Özkan, B., Dedeoğlu, M., Gülser, F., Sargin, B., Demirkaya, S., Ay, A., 2021. An assessment of pasture soils quality based on multi-indicator weighting approaches in semi-arid ecosystem. Ecological Indicators 121: 107001.
  • Khormali, F., Ajami, A., Ayoubi, S., Srinivasarao, C.H., Wani, S.P., 2009. Role of deforestation and hillslope position on soil quality attributes of loess-derived soils in Golestan province, Iran. Agriculture, Ecosystems and Environment 134: 178–189.
  • 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.
  • Kosmas, C., Gerontidis, St., Detsis, V., Zafiriou, Th., Marathianou, M., 1999b. The island of Lesvos (Greece). In: The MEDALUS Project: Mediterranean desertification and land use. Manual on key indicators of desertification and mapping environmentally sensitive areas to desertification. Kosmas, C., Kirkby, M., Geeson, N., (Eds.). European European Commission, Community Research, Project Report. pp.66-73.
  • Kosmas, C., Kirkby, M.J., Geeson, N., 1999a. The MEDALUS Project: Mediterranean desertification and land use. Manual on key indicators of desertification and mapping environmentally sensitive areas to desertification. European European Commission, Community Research, Project Report. 88p.
  • Lahlaoi, H., Rhinane, H., Hilali, A., Lahssini, S., Moukrim, S., 2017. Desertification assessment using MEDALUS model in watershed Oued El Maleh, Morocco. Geosciences 7(3): 50.
  • Mijangos, I., Garbisu, C., 2010. Consequences of soil sampling depth during the assessment of the effects of tillage and fertilization on soil quality: a common oversight. Soil and Tillage Research 109(2): 169–173.
  • 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.
  • 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.
  • Oldeman, L.R., Hakkelingr, T.A., Sombroek, W.G., 1991. World Map of the Status of Human-induced Soil Degradation (GLASOD): An explanatory note. International Soil Reference and Information Centre (ISRIC)/ United Nations Environment Programme (UNEP), Nairobi, Kenya. 27p.
  • Orhan, O., Ekercin, S., 2015. Konya kapalı havzasında uzaktan algılama ve CBS teknolojileri ile iklim değişikliği ve kuraklık analizi. TUFUAB VIII. Teknik Sempozyumu 21-23 Mayıs 2015, Konya, Turkey. [in Turkish]
  • Ozsahin, E., Pektezel, H., Eroglu, I., 2017. Soil quality index (SQI) analysıs of Tekirdag province using GIS (Thrace, Turkey). Fresenius Environmental Bulletin 26(4): 3005-3014.
  • Paz-Kagan, T., Ohana-Levi, N., Herrmann, I., Zaady, E., Henkin, Z., Karnieli, A., 2016. Grazing intensity effects on soil quality: A spatial analysis of a Mediterranean grassland. Catena 146: 100–110.
  • Prăvălie, R., Săvulescu, I., Patriche, C., Dumitraşcu, M., Bandoc, G., 2017. Spatial assessment of land degradation sensitive areas in southwestern Romania using modified MEDALUS method. Catena 153: 114-130.
  • Qi, Y., Darilek, J.L., Huang, B., Zhao, Y., Sun, W., Gu, Z. 2009. Evaluating soil quality indices in an agricultural region of Jiangsu Province, China. Geoderma 149(3-4): 325–334.
  • Raiesi, F., 2017. A minimum data set and soil quality index to quantify the effect of land use conversion on soil quality and degradation in native rangelands of upland arid and semiarid regions. Ecological indicators 75: 307-320.
  • Salvati, L., Bajocco, S., Ceccarelli, T., Zitti, M., Perini, L., 2011. Towards a process-based evaluation of land vulnerability to soil degradation in Italy. Ecological Indicators 11 (5): 1216–1227.
  • Salvati, L., Zitti, M., 2005. Land degradation in the Mediterranean basin: Linking biophysical and economic factors into an ecological perspective. Biota - International Journal of Biology and Ecology 5: 67– 77.
  • Santos-Francés, F., Martínez-Graña, A., Ávila-Zarza, C., Criado, M., Sánchez, Y., 2019. Comparison of methods for evaluating soil quality of semiarid ecosystem and evaluation of the effects of physico-chemical properties and factor soil erodibility (Northern Plateau, Spain). Geoderma 354: 113872.
  • Sanyal, S.K., De Datta, S.K., 1991. Chemistry of Phosphorus Transformations in Soil. In: Advances in Soil Science. Stewart, B.A. (Ed.). Springer-Verlag, New York, USA. pp. 1-120
  • Sepehr, A., Hassanli, A.M., Ekhtesasi, M.R., Jamali, J.B., 2007. Quantitative assessment of desertification in south of Iran using MEDALUS method. Environmental Monitoring and Assessment 134: 243.
  • Sharma, K.L., Mandal, U.K., Srnivas, K., Vittal, K.P.R., Mandal, B., Grace, J.K., Ramesh, V. 2005. Long-term soil management effects on crop yields and soil quality in a dryland Alfisol. Soil and Tillage Research 83(2): 246–259.
  • Shukla, M.K., Lal, R., Ebinger, M., 2006. Determining soil quality indicators by factor analysis. Soil and Tillage Research 87(2): 194–204.
  • Soil Survey Staff, 1992. Procedures for Collecting Soil Samples and Methods of Analysis For Soil Survey. Soil Surv. Invest. Rep. I. U.S. Gov. Print. Office, Washington D.C., USA.
  • Sugihara, S., Funakawa, S., Kilasara, M., Kosaki, T., 2010. Effect of land management and soil texture on seasonal variations in soil microbial biomass in dry tropical agroecosystems in Tanzania. Applied Soil Ecology 44: 80–88.
  • Symenoakis, E., Karathanasis, N., Koukoulas, S., Panagopoulos, G., 2014. Monitoring sensitivity to land degradation and desertification with the envıronmentally sensitive area index: the case of Lesvos ısland. Land Degradation and Development 27(6): 1562-1573.
  • Şeker, C., Özaytekin, H.H., Neğis, H., Gümüş, İ., Dedeoğlu, M., Atmaca, E., Karaca, Ü., 2017. Identification of regional soil quality factors and indicators: a case study on an alluvial plain (central Turkey). Solid Earth 8(3): 583–595.
  • Şen, E., Başaran, N., 2007. Küresel isınma sürecinde Konya Ovasının bazı iklim verilerinde meydana gelen değişmeler ve eğilimler. Uluslararası Küresel İklim Değişikliği ve Çevresel Etkileri Konferansı. 18-20 Ekim 2007. Konya, Turkey. [in Turkish]
  • Şenol, H., Alaboz, P., Demir, S., Dengiz, O., 2020. Computational intelligence applied to soil quality index using GIS and geostatistical approaches in semiarid ecosystem. Arabian Journal of Geosciences 3:1235.
  • Türkes, M., Öztas, T., Tercan, E., Erpul, G., Karagöz, A., Dengiz, O., Doğan, O., Şahin, K., Avcıoğlu, B., 2020. Desertification vulnerability and risk assessment for Turkey via an analytical hierarchy process model. Land Degradation Development 31(2): 205–214.
  • UNCCD, 2017. United Nations Convention to Combat Desertification. Global Land Outlook first edition (2017) Available at [Access date: 10.05.2020]: https://knowledge.unccd.int/glo/GLO_first_edition
  • United Nations, 1994. Elaboration of an international convention to combat desertification in countries experiencing serious drought and/or desertification, particularly in Africa. Final text of the Convention. Available at [Access date: 10.05.2020]: https://wedocs.unep.org/handle/20.500.11822/27569
  • Uzuner, Ç., Dengiz, O., 2020. Desertification risk assessment in Turkey based on environmentally sensitive areas. Ecological Indicators 114,106295.
  • Vinhal-Freitas, I.C., Ferreira, A.S., Corrêa, G.F., Wendling, B., 2013. Land use impact on microbial and biochemical indicators in agroecosystems of the Brazilian Cerrado. Vadose Zone Journal 12(1): 1–8.
  • Wander, M.M., Bollero, G.A., 1999. Soil quality assessment of tillage impacts in Illinois. Soil Science Society of America Journal 63(4): 961-971.
  • Yılmaz, S., 2010. Havza Koruma Eylem Planlarının Hazırlanması Projesi Konya Kapalı Havzası. TÜBİTAK Marmara Araştırma Merkezi Çevre Enstitüsü, Proje Nihai Raporu 5098115 ÇE.10.49. [in Turkish]
Toplam 69 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

İnci Demirağ Turan Bu kişi benim 0000-0002-5810-6591

Yayımlanma Tarihi 1 Temmuz 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 10 Sayı: 3

Kaynak Göster

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