Automated assessment of the dynamics of vegetation cover areas of Moscow protected nature areas and surrounding territories since 1940

DOI: 10.35595/2414-9179-2024-2-30-580-591

View or download the article (Rus)

About the Authors

Olga I. Markova

Lomonosov Moscow State University, Faculty of Geography,
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: solntsevaolga1401@gmail.com

Vladimir N. Semin

Lomonosov Moscow State University, Faculty of Geography,
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: vnsemin@mail.ru

Abstract

This paper is devoted to the assessment of the dynamics of the vegetation cover areas of the park parts of the Pokrovskoye-Streshnevo, Voikovsky and Shchukino districts (SPNA: Pokrovskoye-Streshnevo natural and historical park and the natural monuments Vsekhsvyatskaya grove, Shchukinsky park and adjacent squares that were a single whole with it in the past and are currently cut by Volokolamsk highway). Administratively, the districts belong to the North-West and North Administrative Districts of Moscow. The paper solves the problems of assessing the suitability of cartographic materials (topographic maps of different periods) for such assessments. The earliest date of compilation of a map technically suitable for assessment is recognized as 1940, i.e. an assessment of the vegetation cover dynamics was made for 84 years. Five times layers were selected: 1940, 1952, 1968, 1996 and 2024 with high-quality topographic data. For automated assessment, it was necessary to adjust the projections of topographic maps to the projection of a single base of the modern map, which was done by selecting control points and transforming the bases of past years. Cartographic problems that hinder the achievement of the set goal were identified: the disparity of conventional symbols of different time periods, in particular, different road widths, the use of off-scale topographic conventional symbols, strong distortions of the surface in some areas of the selected territory. Using the QGIS system, the maps were brought to a single base and the areas of green spaces were calculated, which amounted to 3.114 km2 in 1940, 2.748 km2 in 1952, 2.538 km2 in 1968, 2.125 km2 in 1996, and 2.601 km2 in 2024. Thus, the green areas in the selected area have decreased by 0.513 km2 (1.2 times or 16 %) over 84 years, which can be considered the inevitability of the development of a megalopolis. The Vsekhsvyatskaya grove suffered the most. The developed methodology can be recommended for calculating the indicators of the historical dynamics of cultural landscapes.

Keywords

vegetation cover, parks, maps, geoinformation technologies, dynamics of urban landscapes

References

  1. Dubrovsky A.V., Malygina O.I. Geoinformation systems: automated mapping: teaching and methodological manual. Novosibirsk: SSUGT, 2016. 94 p. (in Russian).
  2. Gusev A.P., Sokolov A.S. Information and analytical system for assessing anthropogenic disturbance of forest landscapes. Tomsk State University Journal. Biology, 2008. No. 309 (4). P. 176–179 (in Russian).
  3. Kondratyev I.I. Cartography of the 18th century: from artifact to source (methodology of topographic adaptation of cartographic materials of the 18th century). Herald of Tver State University. Series: History, 2009. No. 2. P. 90–98 (in Russian).
  4. Kochurov B.I. Geoecology: ecodiagnostics and ecological-economic balance of territories. Smolensk: Magenta, 2003. 500 p. (in Russian).
  5. Markova O.I. Specially protected territories of Moscow as the basis of the ecological framework of a metropolis. Geographical Environment and Living Systems, 2020. No. 4. P. 28–47 (in Russian). DOI: 10.18384/2712-7621-2020-4-28-47.
  6. Markova O.I., Emelyanova L.G. Prospects for creating the atlas information system to the SPNA territory of the metropolis by using crowdsourcing resources (on the example of Pokrovskoye-Streshnevo park). InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2022. V. 28. Part 1. P. 696–711 (in Russian). DOI: 10.35595/2414-9179-2022-1-28-696-711.
  7. Mirmakhmudov E.R., Kryukov D.I. Some Possibilities of Determining the Area of a Plot in the GIS “Panorama”. Science and Education Issues, 2020. No. 40 (124). P. 46–51 (in Russian).
  8. Moscow: Encyclopedia. Comp. M.I. Andreev, V.M. Karev; Ch. ed. S.O. Schmidt. Moscow: Big Russian Encyclopedia, 1997. 973 p. (in Russian).
  9. Moscow. Encyclopedic reference. Moscow: Big Russian Encyclopedia, 1992 (in Russian).
  10. Petrov K.M., Terekhina N.V. Vegetation of Russia and adjacent territories. St. Petersburg: Chimizdat, 2013. 328 p. (in Russian).
  11. Polyakova G.A., Gutnikov V.A. Moscow parks: Ecology and floristic characteristics. Moscow: GEOS, 2000. 406 p. (in Russian).
  12. Radchenko T.A., Morozova L.M., Veselkin D.V., Fedorov Yu.S. Assessment of vegetation condition: Meadows and tundra [study-method. manual]. Ekaterinburg: Publishing House of the Ural University, 2016. 86 p. (in Russian).
  13. Salishchev K.A. On the accuracy of quantitative determinations using special maps. Moscow: Lomonosov Moscow State University. Faculty of Geography, 1963. 38 p. (in Russian).
  14. The Red Book of the City of Moscow. 3rd ed., revised and enlarged. Moscow, 2022. 848 p. (in Russian).
  15. Yakimova O.P., Samsonov T.E., Potemkin D.A., Usmanova E. QGIS processing tool for spatial data detail assessment. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 2. P. 268–279 (in Russian). DOI: 10.35595/2414-9179-2021-2-27-268-279.

For citation: Markova O.I., Semin V.N. Automated assessment of the dynamics of vegetation cover areas of Moscow protected nature areas and surrounding territories since 1940. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2024. V. 30. Part 2. P. 580–591. DOI: 10.35595/2414-9179-2024-2-30-580-591 (in Russian)