ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 1, pp. 179-192

Changes in intrazonal differences in the natural vegetation cover of forest-steppe landscapes in the late 20th and early 21th century

E.A. Terekhin 1 
1 Belgorod State National Research University, Belgorod, Russia
Accepted: 09.03.2022
DOI: 10.21046/2070-7401-2022-19-1-179-192
The article analyzes the parameters of vegetation cover natural dynamics within the forest-steppe zone in the territory of the Central Chernozem Region. Landscapes experiencing minimal anthropogenic impact were studied, such as small-dry-valleys and abandoned agricultural lands. During the mid-1980s to the end of the 2010s, an increase of differences in forest cover of small-dry-valleys was established between the northern and southern parts of the forest-steppe. The rate of forest cover increase differs significantly between forest-steppe physical-geographical subzones. The ratio of dry-valleys forest cover between the northern and southern forest-steppe increased from 1.6 in the mid-1980s to 2.5 in the late 2010s. There were statistically significant differences in dry-valleys forest cover between the forest-steppe subzones in 2018, which did not exist in the mid-1980s. The modern forest cover of abandoned agricultural lands in the northern forest-steppe is 7 times higher than this indicator in the southern forest-steppe. Abandoned lands located in various forest-steppe subzones differ significantly in the parameters of NDVI long-term dynamics in 2000–2018. In the northern forest-steppe, a positive statistically significant dynamics of the vegetation index was established. In the typical forest-steppe, NDVI dynamics is present, but it is less pronounced. In the southern forest-steppe, no statistically significant dynamics of the vegetation index was revealed. The established trends serve as indicators of increasing intrazonal differences in the natural vegetation cover within the forest-steppe zone.
Keywords: forest-steppe zone, small-dry-valleys, abandoned lands, intrazonal differences, reforestation, spectral response, remote sensing
Full text

References:

  1. Zhirin V. M., Knyazeva S. V., Eidlina S. P., Remote maintenance of forest-forming process in taiga forests after their cutting in the Russian Plain, Lesovedenie, 2011, No. 6, pp. 29–38 (in Russian).
  2. Kashnitskii A. V., Khovratovich T. S., Balashov I. V., The organization of remote sensing data processing for solving the problems of deforestation detection in large areas, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 6, pp. 103–111 (in Russian), DOI: 10.21046/2070-7401-2019-16-6-103-111.
  3. Koroleva N. V., Tikhonova E. V., Ershov D. V., Saltykov A. N., Gavrilyuk E. A., Twenty-five years of reforestation on nonforest lands in Smolenskoe Poozerye national park according to Landsat imagery assessment, Contemporary Problems of Ecology, 2018, Vol. 11, No. 7, pp. 719–728.
  4. Rusanov A. M., Natural restoration of agricultural landscapes of the steppe and forest-steppe zones of the Orenburg region, Stepnoi byulleten’, 2012, No. 36, pp. 8–12 (in Russian).
  5. Terekhin E. A., Spatial analysis of tree vegetation of abandoned arable lands using their spectral response in forest-steppe zone of Central Chernozem Region, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 5, pp. 142–156 (in Russian), DOI: 10.21046/2070-7401-2020-17-5-142-156.
  6. Terekhin E. A., Spatio-temporal assessment of forest cover of small-dry-valleys in the Central Russian forest-steppe using spectral response, Issledovanie Zemli iz kosmosa, 2021, No. 4, pp. 84–96 (in Russian), DOI: 10.31857/S0205961421040060.
  7. Terekhin E. A., Chendev Yu. G., Satellite-Derived Spatiotemporal Variations of Forest Cover in Southern Forest-Steppe, Central Russian Upland, Contemporary Problems of Ecology, 2019, Vol. 12, No. 7, pp. 780–786, DOI: 10.1134/S1995425519070102.
  8. Fiziko-geograficheskoe raionirovanie tsentral’nykh chernozemnykh oblastei (Physico-geographical zoning of the central chernozem region), Voronezh: Izd. Voronezhskogo universiteta, 1961, 263 p. (in Russian).
  9. Khovratovich T. S., Bartalev S. A., Kashnitskii A. B., Forest change detection based on sub-pixel estimation of crown cover density using bitemporal satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 102–110 (in Russian).
  10. Baumann M., Ozdogan M., Wolter P. T., Krylov A., Vladimirova N., Radeloff V. C., Landsat remote sensing of forest windfall disturbance, Remote Sensing of Environment, 2014, Vol. 143, pp. 171–179.
  11. Biró M., Molnár Z., Öllerer K., Demeter L., Bölöni J., Behind the general pattern of forest loss and gain: A long-term assessment of semi-natural and secondary forest cover change at country level, Landscape and Urban Planning, 2022, Vol. 220, Art. No. 104334.
  12. Chendev Yu. G., Hubbart J. A., Terekhin E. A., Lupo A. R., Sauer T. J., Burras C. L., Recent afforestation in the Iowa river and Vorskla river basins: A comparative trends analysis, Forests, 2016, Vol. 7(11), Art. No. 278, DOI: 10.3390/f7110278.
  13. Chendev Yu., Gennadiev A., Sauer T., Terekhin E., Matveev S. M., Forests advancements to grasslands and their influence on soil formation: forest steppe of the Central Russian Upland, IOP Conf. Series: Earth and Environmental Science. Intern. Scientific and Practical Conf. “Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions” (Forestry-2019), 2019, Vol. 392, Art. No. 012003, DOI: 10.1088/1755-1315/392/1/012003.
  14. Didan K., MOD13Q1 v006, MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid, NASA EOSDIS Land Processes DAAC, 2015, DOI: 10.5067/MODIS/MOD13Q1.006, available at: https://lpdaac.usgs.gov/products/mod13q1v006/.
  15. Ershov D. V., Gavrilyuk E. A., Koroleva N. V., Belova E. I., Tikhonova E. V., Shopina O. V., Titovets A. V., Tikhonov G. N., Natural Afforestation on Abandoned Agricultural Lands during Post-Soviet Period: A Comparative Landsat Data Analysis of Bordering Regions in Russia and Belarus, Remote Sensing, 2022, Vol. 14, No. 2, Art. No. 322, DOI: 10.3390/rs14020322.
  16. Huete A., Didan K., Miura T., Rodriguez E. P., Gao X., Ferreira L. G., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, The Moderate Resolution Imaging Spectroradiometer (MODIS): a new generation of Land Surface Monitoring, 2002, Vol. 83, No. 1, pp. 195–213.
  17. Kolecka N., Greening trends and their relationship with agricultural land abandonment across Poland, Remote Sensing of Environment, 2021, Vol. 257, Art. No. 112340.
  18. Landsat 8 (L8) Data Users Handbook, Version 5.0, USGS, Department of the Interior, Sioux Falls, South Dakota: EROS, 2019, 114 p., available at: https://www.usgs.gov/media/files/landsat-8-data-users-handbook.
  19. Lisetskii F. N., Chernyavskikh V. I., Degtyar O. V., Pastures in the zone of temperate climate: Trends for development, dynamics, ecological fundamentals of rational use, In: Pastures: Dynamics. Economics and Management, New York: Nova Science Publishers, 2010, pp. 51–84.
  20. Liu W., Song C., Schroeder T. A., Cohen W. B., Predicting forest successional stages using multitemporal Landsat imagery with forest inventory and analysis data, Intern. J. Remote Sensing, 2008, Vol. 29, pp. 3855–3872.
  21. Morresi D., Vitali A., Urbinati C., Garbarino M., Forest Spectral Recovery and Regeneration Dynamics in Stand-Replacing Wildfires of Central Apennines Derived from Landsat Time Series, Remote Sensing, 2019, Vol. 11, No. 3, Art. No. 308, DOI: 10.3390/rs11030308.
  22. Pickell P. D., Hermosilla T., Frazier R. J., Coops N. C., Wulder M. A., Forest recovery trends derived from Landsat time series for North American boreal forests, Intern. J. Remote Sensing, 2016, Vol. 37, pp. 138–149.
  23. Potapov P. V., Turubanova S. A., Tyukavina A., Krylov A. M., McCarty J. L., Radeloff V. C., Hansen M. C., Eastern Europe’s forest cover dynamics from 1985 to 2012 quantified from the full Landsat archive, Remote Sensing of Environment, 2015, Vol. 159, pp. 28–43.
  24. Schmidt M., Lucas R., Bunting P., Verbesselt J., Armston J., Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia, Remote Sensing of Environment, 2015, Vol. 158, pp. 156–168.
  25. Valor E., Caselles V., Mapping land surface emissivity from NDVI: Application to European, African, and South American areas, Remote Sensing of Environment, 1996, Vol. 57, No. 3, pp. 167–184, DOI: 10.1016/0034-4257(96)00039-9.