Applying GIS Technologies for Mapping Natural and Anthropogenic Transformed Soils in the Southern Forest-Steppe of the Republic of Bashkortostan

DOI 10.7160/aol.2020.120403
No 4/2020, December
pp. 29-45

Ishbulatov, M., Miftakhov, I., Churagulova, Z., Mindibayev, R. and Komissarov, A. (2020) “Applying GIS Technologies for Mapping Natural and Anthropogenic Transformed Soils in the Southern Forest-Steppe of the Republic of Bashkortostan", AGRIS on-line Papers in Economics and Informatics, Vol. 12, No. 4, pp. 29-45. ISSN 1804-1930. DOI 10.7160/aol.2020.120403.

Abstract

Soil is a core element of the biosphere, and the soil cover is exposed to major processes that take place within this system. Therefore, it is very important to understand the results of soil research from the perspective of current global and local environmental problems. With the advent of new methods of spatial analysis and techniques for obtaining remote sensing data, geoinformation technologies offer great opportunities for analyzing the natural and ecological state of the region. Therefore, geoinformation analysis of the state of natural and anthropogenic transformed soils is an essential tool for their studying, forecasting the development of the natural environment, and working out the ways of rational farming. As forest territories have a beneficial effect on the natural and climatic situation in general, and vice versa, environmental degradation on agricultural lands will result in worsening the situation on forest lands, it is necessary to consider forest and agricultural areas in close integration with GIS technologies. It should be done to improve the overall natural environmental conditions. The study used soil survey data conducted in 2017-2019. Field and office studies were conducted: samples were taken in the field to determine the agrochemical parameters of the soil, and the data obtained were analyzed using mathematical and statistical methods. Digital cartographic materials were created using geoinformation technologies. The basis for a comprehensive natural and environmental assessment of forest and agricultural areas using geoinformation systems was laid. The studies conducted to identify changes in natural and anthropogenic transformed soils have shown that the contours of soil varieties have changed. In many cases, there is a deterioration in soil properties. The number of fertile chernozem has decreased. In areas with low crop cultivation, there are signs of a decrease in the humus horizon and the development of erosion processes. As a result of the conducted research, a single digital soil and geographical database for forest and agricultural territories were created. The developed methodology and algorithm for creating a database and digital cartographic basis using geoinformation technologies in environmental studies can be recommended as a base for similar studies both in the Republic of Bashkortostan and in other regions.

Keywords

Environmental conditions, forest and agricultural territories, GIS technologies, soil mapping.

References

  1. Abbas, H., Abuzaid, A. and Yaccub, R. (2020) “Land evaluation of east Qattara Depression, Egypt using remote sensing and GIS”, 5th International Conference on Biotechnology Applications in Agriculture (ICBAA), Benha University, 8-11 April 2020, Egypt.
  2. Allbed, A., Kumar, L. and Sinha, P. (2018) “Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia”, Geocarto International, Vol. 33, No. 8, pp. 830-846. E-ISSN 1752-0762, ISSN 1010-6049. DOI 10.1080/10106049.2017.1303090.
  3. Chalise, D., Kumar, L., Shriwastav, C.P. and Lamichhane, S. (2018) “Spatial assessment of soil erosion in a hilly watershedof Western Nepal”, Environmental Earth Sciences, Vol. 77. E-ISSN 1866-6299, ISSN 1866-6280. DOI 10.1007/s12665-018-7842-3.
  4. Chhogyel, N. and Kumar, L. (2018) “Climate change and potential impacts on agriculture in Bhutan: a discussion of pertinent issues”, Agriculture & Food Security, Vol. 7. ISSN 2048-7010. DOI 10.1186/s40066-018-0229-6.
  5. Churagulova, Z. S. (2003) “Soils of forest nurseries of the southern Urals: properties, changes, optimization”, TISSOT, Moscow.
  6. Curebal, I., Efe, R., Soykan, A. and Sonmez, S. (2015) “Impacts of anthropogenic factors on land degradation during the anthropocene in Turkey”, Journal of Environmental Biology, Vol. 36, No. 1, pp. 51-58. ISSN 02548704.
  7. Dincă, L., Sparchez, G. and Dincă, M. (2014) “Romanian's forest soils gis map and database and their ecological implications”, Carpathian Journal of Earth and Environmental Sciences, Vol. 9, pp. 133-142.E-ISSN 1844489X, ISSN 18424090.
  8. FAO (2011) “FAO in the 21st Century: Ensuring Food Security in a Changing World”, Rome, Food and Agriculture Organization of the United Nations.
  9. Gosa, C. I. and Mateoc-Sirb, N. (2014) “Agricultural lands bonitation and estimation of crop production in Almajului Valley, Caras-Severin County”, 14th International Multidisciplinary Scientific GeoConference SGEM 2014, Vol. 2, Book 3, pp. 11-14. ISBN 978-619-7105-14-8. ISSN 1314-2704. DOI 10.5593/SGEM2014/B32/S13.002.
  10. Ishbulatov, M. G., Miftakhov, I. R. and Mindibaev, R. A. (2018a) “Creating a digital soil map of agricultural lands in the Republic of Bashkortostan Col.: cadastral and ecological and landscape support of land management in modern conditions”, Materials of the international scientific and practical conference of the faculty of land management and cadastre of VSAU, pp. 100-103.
  11. Ishbulatov, M. G., Mindibaev, R. A., Safin, K. M., Baikov, A. G., Miftakhov, I. R., Baygildina, G., Zamanova, N., Khisamov, R. and Yagafarov, R. G. (2018b) “The Bioenergetic Approach to Evaluation of Arable Land Fertility”, Journal of Engineering and Applied Sciences, Vol. 13, pp. 8353-8359. ISSN 1816-949X.
  12. Jia, G., Zhang, L., Zhu, L., Xu, R., Liang, D., Xu, X. and Bao, T. (2019) “Digital Earth for Climate Change Research”, In Manual of Digital Earth, pp. 473-494. ISBN 978-981-329-915-3. DOI 10.1007/978-981-32-9915-3_14.
  13. Kalinin, A. G. (2015) “Data processing by mathematical statistics methods”, Monograph. TBI of SUCC, Chita.
  14. Karmakar, R., Das, I., Dutta, D. and Rakshit, A. (2016) “Potential Effects of Climate Change on Soil Properties: A Review”, Science International, Vol. 4, pp. 51-73. ISSN 1013-5316.
  15. Kayet, N. and Pathak, K. (2015) “Remote Sensing and GIS-Based Land use/Land cover Change Detection Mapping in Saranda Forest, Jharkhand, India”, International Research Journal of Earth Sciences, Vol. 3, pp. 2321-2527. ISSN 14373254.
  16. Kimaro, J. and Lulandala, L. (2013) “Human Influences on Tree Diversity and Composition of a Coastal Forest Ecosystem: The Case of Ngumburuni Forest Reserve, Rufiji, Tanzania”, International Journal of Forestry Research, Vol. 6, No. 2. E-ISSN 1687-9376, ISSN 1687-9368. DOI 10.1155/2013/305874.
  17. Kolejka, J. (2018) “Landscape Mapping Using GIS and Google Earth Data”, Geography and Natural Resources, Vol. 39, pp. 254-260. E-ISSN 1875-371X, ISSN 1875-3728. DOI 10.1134/S1875372818030095.
  18. Kolesnikova, V., Alyabina, I., Vorob’eva, L., Molchanov, E., Shoba, S. and Rozhkov, V. (2010) “Soil attribute database of Russia”, Eurasian Soil Science, Vol. 43, pp. 839-847. E-ISSN 1556-195X, ISSN 1064-2293. DOI 10.1134/S1064229310080016.
  19. Kumar, P. S. and Geetha, S. A. (2009) “A Holistic GIS-based Approach for Thematic Extraction of the Soil Erosion Estimates Using Predictors as a Function of Climate, Land Cover, Relief, Soil, and Topography”, Asian Journal of Water, Environment and Pollution, Vol. 6, No. 3, pp. 73-78. E-ISSN 1875-8568, ISSN 0972-9860.
  20. Lemenkova, P. (2015) “Google Earth web service as a support for GIS mapping in geospatial research at universities”, Web-Technologies in the Educational Space. Problems, Approaches, Perspectives, pp. 24. DOI 10.6084/m9.figshare.7211798. (In Russian).
  21. López-García, E., Torres-Trejo, E., López-Reyes, L., Flores-Domínguez, Á., Peña Moreno, R. and Olguín, J. F. (2019) “Estimation of soil erosion using USLE and GIS in the locality of Tzicatlacoyan, Puebla, México”, Soil and Water Research, Vol. 15, No. 1, pp. 9-17. E-ISSN 1178-6221. DOI 10.17221/165/2018-SWR.
  22. Lu, S.-M. (2017) “Soil and Forest: The Key Factors for Human Survival”, Journal of Sustainable Development, Vol. 10, pp. 105-119. I-SSN 1913-9071, ISSN 1913-9063. DOI 10.5539/jsd.v10n3p105.
  23. Lucà, F., Buttafuoco, G. and Terranova, O. (2018) “GIS and Soil”, In Comprehensive Geographic Information Systems, pp. 37-50. ISBN 978-0-12-804793-4. DOI 10.1016/B978-0-12-409548-9.09634-2.
  24. Varma M. K. R., Jyothi, S., Varma, S. A. K. and Varma, S. V. (2011) “Construction of Spatial Dataset from Remote Sensing using GIS for Deforestation Study General Terms”, International Journal of Computer Applications, Vol. 31, No. 10, pp. 26-32. ISSN 0975-8887.
  25. Martynenko, O., Karminov, V., Yugaj, E., Mutygullin, I. and Ontikov, P. (2019) “The use of GIS for agrochemical soil characteristics and weed infestation of Grebnevskiy nursery of Shchelkovskiy teaching and experimental forestry”, Dokuchaev Soil Bulletin, Vol. 99, pp. 5-20. E-ISSN 2312-4202, ISSN 0136-1694. DOI 10.19047/0136-1694-2019-99-5-20. (in Russian).
  26. Nguemzei, C., Tematio, P., Yemefack, M., Tsozué, D. and Silatsa, Fs. (2020) “Soil quality and soil fertility status in major soil groups at the Tombel area, South-West Cameroon”, Heliyon, Vol. 6, No. 2. E-ISSN 2405-8440. DOI 10.1016/j.heliyon.2020.e03432.
  27. Pendzhiev, A. M. (2013) “Ecological problems of desert development: migration, pasture improvement, and global land degradation”, Alternative Energy and Ecology, Vol. 14, No. 136, pp. 89-107. ISSN 2348-5159.
  28. Ramazanoglu, E., Gundogan, R. and Saltali, K. (2019) “Soil formation, Classification, and Mapping of Soils of Catchment of TopçuCreek”, International Conference on Agriculture, Food, Veterinary and Pharmacy Sciences, pp. 1122-1127.
  29. Ruleva, O. and Rulev, A. (2015) “Landscape Planning of Forest Amelioration on Irrigated Soils”, Geofrafia i geoinformatika, Vol.11., pp. 74-80. ISSN 2519-4437. DOI 10.15688/jvolsu11.2015.2.9. (in Russian).
  30. Shapovalov, D. A., Rukhovich, D. I., Kulyanitsa, A. L., Kalinina, N. V., Koroleva, P. V. (2018) “Elements of soil and land cover mapping in the cadastre system of the Russian federation,” International Multidisciplinary Scientific GeoConference-SGEM.
  31. Sultanova, R. R., Gabdrahimov, K. M., Khayretdinov, A. F., Konashova, S. I., Konovalov, V. F., Blonskaya, L. N., Sabirzyanov, I. G., Martynova, M. V., Isyanyulova, R. R. and Gabdelkhakov, A. K. (2018) “Evaluation of Ecological Potential of Forests”, Journal of Engineering and Applied Sciences, Vol. 13, pp. 6590-6596. E-ISSN 1816949X, ISSN 18187803.
  32. Techen, A. K., Helming, K., Brüggemann, N., Veldkamp, E., Reinhold-Hurek, B., Lorenz, M., Bartke, S., Heinrich, U., Amelung, W., Augustin, K., Boy, J., Corre, M., Duttman, R., Gebbers, R., Gentsch, N., Grosch, R., Guggenberger, G., Kern, J., Kiese, R. and Vogel, H.-J. (2020) “Chapter four - Soil research challenges in response to emerging agricultural soil management practices”, Advances in Agronomy, in press. Vol 164, pp. 179-240. DOI 10.1016/bs.agron.2020.01.002.
  33. Uskov, V. N. and Bulat, P. V. (2014) "Shock and detonation wave in terms of view of the theory of interaction gasdynamic discontinuities", Life Science Journal, Vol. 11, No. 8, pp. 307-310. ISSN 10978135.
  34. Várallyay, G. (2010) “The impact of climate change on soils and their water management”, Agronomy Research, Vol. 8, No. 2, pp. 385-396. ISSN 1406894X.
  35. Wadoux, A., Brus, D. and Heuvelink, G. (2019) “Sampling design optimization for soil mapping with random forest”, Geoderma, Vol. 355. ISSN 0016-7061. DOI 10.1016/j.geoderma.2019.113913.
  36. Zaripova, G. K. Kaipov, Y. Z., Safin, H. M., Mindibaev, R. A., Nugumanov, A. Kh. and Chanyshev, I. O. (2009) “Main technological methods for improving the soil fertility and effective use of degraded lands in Bashkortostan (recommendations)”, Ufa, Print World, 44 p. ISBN 5961300757.

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