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Year 2020, Volume: 9 Issue: 3, 202 - 207, 01.07.2020
https://doi.org/10.18393/ejss.724698

Abstract

References

  • Babaev, M.P., 1984. Irrigated soils of the Kura-Araks lowland and their productive capacity. Elm. Baku, Azerbaijan. 176p. [in Russian]. Babaev, M.P., Dzhafarova, Ch.M., Gasanov, V.G., 2006. Modern Azerbaijani soil classification system. Eurasian Soil Science 39(11): 1176-1182.
  • Babaev, M.P., İsmayilov, A.İ, Huseynova, S.M., 2017. The correlation of Azerbaijan national soil classification with WRB. Elm. Baku, Azerbaijan. 271p.
  • Babaev, M.P., Jafarova, Ch.M., Hasanov, V., 2006. Modern classification of Azerbaijan soils. Elm. Baku, Azerbaijan. 360p.
  • Bockheim, J.G., Gennadiyev, A.N., 2000. The role of soil-forming processes in the definition of taxa in Soil Taxonomy and the World Soil Reference Base. Geoderma 95(1-2): 53-72.
  • Bower, C.A., Hatcher, J.T., 1966. Simultaneous determination of surface area and cation exchange capacity. Soil Science Society America Journal 30(4): 525–527.
  • FAO, 2006. Guidelines for soil description. Fourth edition. FAO. Food and Agriculture Organization of the United Nations, Rome, Italy. 97p. Available at [Access date: 21.11.2019]: http://www.fao.org/3/a-a0541e.pdf
  • FAO, 2015. World reference base for soil resources 2014. International soil classification system for naming soils and creating legends for soil maps. Update 2015. World Soil Resources Reports No. 106. Food and Agriculture Organization of the United Nations, Rome, Italy. 192p. Available at [Access date: 21.11.2019]: http://www.fao.org/3/i3794en/I3794en.pdf
  • Gee, G.W., Bauder, J.W., 1986. Particle-size Analysis. In: Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, A.L. Page, R.H. Miller, D.R. Keeney (Eds.), 2nd Edition. Agronomy Monograph No. 9, American Society of Agronomy, Soil Science Society of America. Madison, Wisconsin, USA. pp. 383-411.
  • Gerasimova, М.I., 2015. Principles, structure and taxonomic units in the Russian and International (WRB) systems of soil classification. Bulletin of the V.V. Dokuchaev Soil Science Institute 79: 15-25.
  • Kabała, C., Świtoniak, M., Charzyński, P., 2016. Correlation between the Polish Soil Classification (2011) and international soil classification system World Reference Base for Soil Resources (2015). Soil Science Annual 67(2): 88-100.
  • Krasilnikov, P., Marti, J.J.I., Arnold, R., Shoba, S., 2009. A handbook of soil terminology, correlation and classification. Taylor & Francis Ltd, London, UK. 448p.
  • Láng, V., Fuchs, M., Waltner, I., Michéli, E. 2013. Soil taxonomic distance, a tool for correlation: As exemplified by the Hungarian Brown Forest Soils and related WRB Reference Soil Groups. Geoderma 192: 269-276.
  • Lebedeva, I.I., Gerasimova, M.I., 2009. M.I. Factors of soil formation in soil classification systems. Eurasian Soil Science 42: 1412-1415.
  • Lebedeva, I.I., Tonkonogov, V.D., Gerasimova, M.I., 2005. Anthropogenic pedogenesis and the new classification system of Russian soils. Eurasian Soil Science 38(10): 1026-1031.
  • Loeppert, R.H., Suarez, D.L., 1996. Carbonate and gypsum. In: Methods of Soil Analysis, Part 3 - Chemical Methods. Sparks, D.L., Page, A.L., Helmke, P.A., Loeppert, R.H., Soltanpour, P.N., Tabatabai, M.A., Johnston, C.T., Sumner, M.E. (Eds.). American Society of Agronomy Inc., Madison, Wisconsin, USA. pp. 437-475.
  • Minasny, B., McBratney, A.B., Hartemink, A.E., 2010. Global pedodiversity, taxonomic distance, and the World Reference Base. Geoderma 155(3-4): 132-139.
  • Reintam, E., Köster, T., 2006. The role of chemical indicators to correlate some Estonian soils with WRB and Soil Taxonomy criteria. Geoderma 136(1-2): 199-209.
  • Rozhkov, V.A., 2012. Classiology and soil classification. Eurasian Soil Science 45: 221–230.
  • Salaev, M.E., 1991. Diagnosis and classification of soils of Azerbaijan. Elm. Baku, Azerbaijan [in Russian].
  • Sarmast, M., Farpoor, M.H., Boroujeni, I.E., 2016. Comparing Soil Taxonomy (2014) and updated WRB (2015) for describing calcareous and gypsiferous soils, Central Iran. Catena 145: 83-91.
  • Shishov, L.L., Tonkonogov, V.D., Lebedeva, I.I., Gerasimova, M.I., 2004. Classification and diagnostics of soils of Russia. Oykumena, Smolensk. 342p. [in Russian].
  • Urushadze, T., Blum, W., Kvrivishvili, T., 2016. Classification of soils on sediments, sedimentary and andesitic rocks in Georgia by the WRB system. Annals of Agrarian Science 14(4): 351-355.
  • Walkley, A.J., Black, I.A., 1934. Estimation of soil organic carbon by the chromic acid titration method. Soil Science 37(1): 29-38.
  • Zádorová, T., Penížek, V., 2011. Problems in correlation of Czech national soil classification and World Reference Base 2006. Geoderma 167-168: 54-60.

The correlation of Azerbaijan arid soils with WRB-2014

Year 2020, Volume: 9 Issue: 3, 202 - 207, 01.07.2020
https://doi.org/10.18393/ejss.724698

Abstract

The geographical principles are used in grouping of the soils the highest taxonomic standards in the soviet soil scientists works concerning the classification. But the Azerbaijan soil classification is based on genetic profile. Traditionally – topographic, color, climate and so on names are used in this classification, which in the soils genetic types idea is assumed as a basis. The International classification system is identified on the basis of the diagnostic parameters in the field researches and specified as a result of the laboratory analyses. The Azerbaijan soil classification consists of eight taxonomic level and a high taxonomic level is considered- soil class, section, genetic soil type, low soil taxa - soil gender, sort, diversity, row, soil variants. Mainly used central taxon is soil type. An aim of the research is to determine correlative chances of WRB-2015 International soil classification system with the Azerbaijan soil classification. It was detected that a correlation of both soil classifications is possible. The correlation is taken place in different taxon levels. Therefore, the soils were analysed at a type and subtype standard besides high taxas when the soils were correlated. As a result of correlation, it was defined that irrigated meadow-grey soils should be correlated Anthrosols, but meadow-grey soils concerned Calcisols and Gleysols.

References

  • Babaev, M.P., 1984. Irrigated soils of the Kura-Araks lowland and their productive capacity. Elm. Baku, Azerbaijan. 176p. [in Russian]. Babaev, M.P., Dzhafarova, Ch.M., Gasanov, V.G., 2006. Modern Azerbaijani soil classification system. Eurasian Soil Science 39(11): 1176-1182.
  • Babaev, M.P., İsmayilov, A.İ, Huseynova, S.M., 2017. The correlation of Azerbaijan national soil classification with WRB. Elm. Baku, Azerbaijan. 271p.
  • Babaev, M.P., Jafarova, Ch.M., Hasanov, V., 2006. Modern classification of Azerbaijan soils. Elm. Baku, Azerbaijan. 360p.
  • Bockheim, J.G., Gennadiyev, A.N., 2000. The role of soil-forming processes in the definition of taxa in Soil Taxonomy and the World Soil Reference Base. Geoderma 95(1-2): 53-72.
  • Bower, C.A., Hatcher, J.T., 1966. Simultaneous determination of surface area and cation exchange capacity. Soil Science Society America Journal 30(4): 525–527.
  • FAO, 2006. Guidelines for soil description. Fourth edition. FAO. Food and Agriculture Organization of the United Nations, Rome, Italy. 97p. Available at [Access date: 21.11.2019]: http://www.fao.org/3/a-a0541e.pdf
  • FAO, 2015. World reference base for soil resources 2014. International soil classification system for naming soils and creating legends for soil maps. Update 2015. World Soil Resources Reports No. 106. Food and Agriculture Organization of the United Nations, Rome, Italy. 192p. Available at [Access date: 21.11.2019]: http://www.fao.org/3/i3794en/I3794en.pdf
  • Gee, G.W., Bauder, J.W., 1986. Particle-size Analysis. In: Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties, A.L. Page, R.H. Miller, D.R. Keeney (Eds.), 2nd Edition. Agronomy Monograph No. 9, American Society of Agronomy, Soil Science Society of America. Madison, Wisconsin, USA. pp. 383-411.
  • Gerasimova, М.I., 2015. Principles, structure and taxonomic units in the Russian and International (WRB) systems of soil classification. Bulletin of the V.V. Dokuchaev Soil Science Institute 79: 15-25.
  • Kabała, C., Świtoniak, M., Charzyński, P., 2016. Correlation between the Polish Soil Classification (2011) and international soil classification system World Reference Base for Soil Resources (2015). Soil Science Annual 67(2): 88-100.
  • Krasilnikov, P., Marti, J.J.I., Arnold, R., Shoba, S., 2009. A handbook of soil terminology, correlation and classification. Taylor & Francis Ltd, London, UK. 448p.
  • Láng, V., Fuchs, M., Waltner, I., Michéli, E. 2013. Soil taxonomic distance, a tool for correlation: As exemplified by the Hungarian Brown Forest Soils and related WRB Reference Soil Groups. Geoderma 192: 269-276.
  • Lebedeva, I.I., Gerasimova, M.I., 2009. M.I. Factors of soil formation in soil classification systems. Eurasian Soil Science 42: 1412-1415.
  • Lebedeva, I.I., Tonkonogov, V.D., Gerasimova, M.I., 2005. Anthropogenic pedogenesis and the new classification system of Russian soils. Eurasian Soil Science 38(10): 1026-1031.
  • Loeppert, R.H., Suarez, D.L., 1996. Carbonate and gypsum. In: Methods of Soil Analysis, Part 3 - Chemical Methods. Sparks, D.L., Page, A.L., Helmke, P.A., Loeppert, R.H., Soltanpour, P.N., Tabatabai, M.A., Johnston, C.T., Sumner, M.E. (Eds.). American Society of Agronomy Inc., Madison, Wisconsin, USA. pp. 437-475.
  • Minasny, B., McBratney, A.B., Hartemink, A.E., 2010. Global pedodiversity, taxonomic distance, and the World Reference Base. Geoderma 155(3-4): 132-139.
  • Reintam, E., Köster, T., 2006. The role of chemical indicators to correlate some Estonian soils with WRB and Soil Taxonomy criteria. Geoderma 136(1-2): 199-209.
  • Rozhkov, V.A., 2012. Classiology and soil classification. Eurasian Soil Science 45: 221–230.
  • Salaev, M.E., 1991. Diagnosis and classification of soils of Azerbaijan. Elm. Baku, Azerbaijan [in Russian].
  • Sarmast, M., Farpoor, M.H., Boroujeni, I.E., 2016. Comparing Soil Taxonomy (2014) and updated WRB (2015) for describing calcareous and gypsiferous soils, Central Iran. Catena 145: 83-91.
  • Shishov, L.L., Tonkonogov, V.D., Lebedeva, I.I., Gerasimova, M.I., 2004. Classification and diagnostics of soils of Russia. Oykumena, Smolensk. 342p. [in Russian].
  • Urushadze, T., Blum, W., Kvrivishvili, T., 2016. Classification of soils on sediments, sedimentary and andesitic rocks in Georgia by the WRB system. Annals of Agrarian Science 14(4): 351-355.
  • Walkley, A.J., Black, I.A., 1934. Estimation of soil organic carbon by the chromic acid titration method. Soil Science 37(1): 29-38.
  • Zádorová, T., Penížek, V., 2011. Problems in correlation of Czech national soil classification and World Reference Base 2006. Geoderma 167-168: 54-60.
There are 24 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Amin İsmayilov This is me 0000-0003-1878-415X

Maharram Babaev This is me 0000-0001-8337-1701

Fikrat Feyziyev This is me 0000-0001-9771-9799

Publication Date July 1, 2020
Published in Issue Year 2020 Volume: 9 Issue: 3

Cite

APA İsmayilov, A., Babaev, M., & Feyziyev, F. (2020). The correlation of Azerbaijan arid soils with WRB-2014. Eurasian Journal of Soil Science, 9(3), 202-207. https://doi.org/10.18393/ejss.724698