Cartographic analysis of agricultural landscapes of the transition zone of chestnut and light chestnut soils of the Volgograd region

DOI: 10.35595/2414-9179-2022-2-28-926-934

View or download the article (Rus)

About the Author

Viktoria A. Silova

Federal Scientific Center of Agroecology, Integrated Land Reclamation and Protective Afforestation of the Russian Academy of Sciences, FSC of “Agroecology RAS”,
University ave, 97, 400062, Volgograd, Russia;
E-mail: viktoriatem@mail.ru

Abstract

The results of studying the structural components of agricultural landscapes by geoinformation methods can quickly assess the current state of the land, identify the impact of elements on the landscape and the stability of land use itself. Cartographic analysis of agricultural landscapes of the transition zone of chestnut and light chestnut soils of the Volgograd region is carried out using geoinformation methods and techniques to assess their condition based on the results of decoding satellite images, allows you to display spatial features and identify patterns of changes in landscape objects. Mapping of the test site in the Kalachevsky District of the Volgograd region allowed us to estimate the area of the agricultural landscape at 9498.6 hectares, of which arable land occupies 41.6 %, protective forest strips of artificial origin—4.4 %, the rest of the territory is occupied by a gully–beam system. The relief features are a height difference of 32 m and a maximum slope angle of 3.45°. 3958.1 hectares of arable land were surveyed, the system of protective forest stands consists of 67 forest strips, with a total area of 175.2 hectares. 33 % of arable lands lose about 80 % of the fertile layer. At the landfill, the share of heavily degraded forest strips was 75 % of all forest strips, while 30 forest strips completely fell out. The effectiveness of the protective action of forest stands is low, which requires the implementation of measures for their reconstruction to ensure the integrity and productivity of the entire agricultural landscape. The total potential washout at the maximum values of the slope of the studied area is 73216.7 t. The intensity of the calculated amount of soil flushing across the fields varies from 9.8 to 29.1 t/ha. The total potential flushing at the average values of the slope of the studied area is 34248.2 t, and the intensity of the calculated amount of soil flushing is from 2.5 to 13.2 t/ha, respectively.

Keywords

agrolandscape, geoinformation mapping, cartographic analysis, satellite images, arable land, natural area, flushing

References

  1. Amin A., Fazal S. Quantification of Land Transformation Using Remote Sensing and GIS Techniques. American Journ. of Geographic Information System. 2012. Vol. 1. No. 2. P. 17–28.
  2. Denisova E.V., Silova V.A. The current state analysis of the agro-forest landscape components based on the geoinformational systems usage. IOP Conference Series: Earth and Environmental Science. 2019. P. 052062.
  3. Denisova E.V. Cartographic analysis of the components of the agricultural landscape in the formation of sustainable land use in the conditions of land degradation of the Volgograd region. InterCarto. InterGIS. Geoinformation support of sustainable development of territories: Materials of the International Conference. Moscow: Faculty of Geography of Moscow State University, 2021. Vol. 27. Ch. 4. P. 47–56. DOI: 10.35595/2414-9179-2021-4-27-47-56 (in Russian).
  4. Denisova E.V. Assessment of Land-Use Efficiency in Agriculture with the Application of GIS Technologies. Izvestiya, Atmospheric and Oceanic Physics. 2021. Vol. 57. No. 12. P. 1582–1589.
  5. Kiryushin V.I. Methodology of development of adaptive landscape systems of agriculture and technologies of cultivation of agricultural crops. Moscow: Russian Agricultural Academy, 1995. 79 p. (in Russian).
  6. Kulik K.N., Yuferev V.G. Computer mathematical and cartographic modeling of agroforestry landscapes based on aerospace information. Reports of the Russian Academy of Sciences. 2010. No. 1. P. 52–54 (in Russian).
  7. Papaskiri T.V., Kasyanov A.E., Alekseenko N.N., Semochkin V.N., Ananicheva E.P., Shevchuk A.A. Digital land management. Iop conference series: earth and environmental science. The proceedings 2019th International Symposium on Earth Sciences: History, Contemporary Issues and Prospects. 2019. 012065.
  8. Rawat J.S., Manish K. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, District Almora, Uttarakhand, India. The Egyptian Journ. of Remote Sensing and Space Science. 2015. Vol. 18. Iss. 1. P. 77–84.
  9. Roy D.P., Wulder M.A., Loveland T.R. Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment. 2014. No. 145. P. 154–172.
  10. Ryabinina N.O., Kanishchev S.N., Shinkarenko S.S. The current state and dynamics of geosystems in the south-east of the Russian plain (by the example of the natural parks in Volgograd region). South of Russian: ecology, development. 2018. Vol. 13. No. 1. P. 116–127. DOI: 10.18470/1992-1098-2018-1-116-127 (in Russian).
  11. Silova V.A. Analysis of agroforesolandscapes subject to erosion processes based on modeling and remote sensing data Scientific and Agronomic Journal. 2020. No. 3 (110). P. 23–27 (in Russian).
  12. Yuferev V.G., Kulik K.N., Rulev A.S. Geoinformation technologies in agroforestry. Volgograd, 2010. 102 p. (in Russian).
  13. Yuferev V.G., Zavalin A.A., Pleskachev Yu.N., Vdovenko A.V., Fomin S.D., Vorontsova E.S. Degradation of landscapes in the South of the Privolzhsky Upland. Journal of Forest Science. 2019. No. 65. P. 195–202.

For citation: Silova V.A. Cartographic analysis of agricultural landscapes of the transition zone of chestnut and light chestnut soils of the Volgograd region. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2022. V. 28. Part 2. P. 926–934. DOI: 10.35595/2414-9179-2022-2-28-926-934 (in Russian)