Changes in the form of forests in the Central Russian upland in the submeridional direction (quantitative description based on landscape metrics)

DOI: 10.35595/2414-9179-2022-1-28-471-479

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About the Author

Pavel A. Ukrainskiy

Belgorod State National Research University, Federal and Regional Centre for aerospace and ground monitoring of objects and natural resources,
Pobedy str., 85, 308015, Belgorod, Russia;
E-mail: pa.ukrainski@gmail.com

Abstract

The article is dedicated to a quantitative description of the geometric shape of forests in the territory of the Central Russian Upland. This is a new direction in the research of forest insularity in the forest-steppe zone. It complements the existing works in the field of landscape ecology, which are dedicated to the area, location and fragmentation of forests in the forest-steppe zone. This study was carried out at four key sites with a size of 30 by 30 km each. The sites are located along the north-south line, and each site is located in one of the natural subzones of the Central Russian Upland (subzones of the northern, typical, southern forest-steppe and the steppe zone). For each site, forests were mapped using images from the Sentinel-2 satellite in the ArcGIS 10.5 program. Then, in the “R” free software environment for statistical computing, landscape metrics were calculated that characterize the complexity of the shape of forest areas, using the additional landscapemetrics package. Six landscape metrics were used, namely: average related circumscribing circle (CIRCLE), average contiguity index (CONTIG), average fractal dimension index (FRAC), perimeter-area fractal dimension (PAFRAC), average perimeter-area ratio (PARA) and average shape index (SHAPE). A comparison of landscape metrics for different key sites showed that the complexity of the forest form increases in the direction from north to south. This is due to a change in the landscape localization of forests. From north to south, the proportion of forests growing on watersheds decreases, and the proportion of ravine forests increases. The maximum increase in the complexity of the form is observed during the transition from the forest-steppe zone to the steppe zone. Of all the landscape metrics used, the PAFRAC and SHAPE metrics showed the greatest sensitivity to changes in the shape of forest areas. These metrics are most useful when comparing the forests shapes in different areas.

Keywords

forests, forest-steppe, insularity, landscape metrics, Central Russian Upland

References

  1. Baker W.L., Cai Y. The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system. Landscape Ecology, 1992. V. 7. P. 291–302. DOI: 10.1007/BF00131258.
  2. Chendev Yu.G. Petin A.N., Serikova E.V., Kramchaninov N.N. Degradation of geosystems of the Belgorod region as a result of economic activity. Geography and natural resources, 2008. No. 4. P. 69–75 (in Russian).
  3. Gorbunov A.S., Bevz V.N. Altitude-landscape tiers of the Central Chernozem Region. Bulletin of the Voronezh branch of the Russian Geographical Society, 2010. V. 11. P. 15–18 (in Russian).
  4. Hesselbarth M.H.K., Sciaini M., With K.A., Wiegand K., Nowosad J. Landscapemetrics: an open-source R tool to calculate landscape metrics. Ecography, 2019. V. 42. No. 10. P. 1648–1657. DOI: 10.1111/ecog.04617.
  5. LaGro J. Assessing patch shape in landscape mosaics. Photogrammetric Engineering and Remote Sensing, 1991. V. 57. No. 3. P. 285–293.
  6. Mandal M., Chattarjee N.D. Geo-statistical analysis to understand nature of forest patch shape complexity in panchet forest division under Bankura district, West Bengal. Indian Journal of Ecology, 2020. V. 47. No. 1. P. 96–101.
  7. Mikhno V.B. Landscape features of insularity of oak forests in the Central Russian forest-steppe. Bulletin of the Voronezh State University. Series: Geography. Geoecology, 2012. No. 1. P. 14–20 (in Russian).
  8. Patton D.R. A diversity index for quantifying habitat “edge”. Wildlife Society Bulletin, 1975. V. 3. No. 4. P. 171–173.
  9. Terekhin E.A., Chendev Yu.G. Estimation of forest cover changes during modern period in the south of the Central Russian Upland using multiyear remote sensing data. Current problems in remote sensing of the Earth from Space, 2018. V. 15. No. 3. P. 114–126 (in Russian). DOI: 10.21046/2070-7401-2018-15-3-114-126.
  10. Ukrainskij P.A., Terekhin E.A., Pavlyuk Ya.V. Fragmentation of forests in the upper part of the Vorskla river basin since the end of the 18th century. Moscow University Bulletin. Series 5. Geography, 2017. No. 1. P. 82–91 (in Russian).
  11. Wang W., Pu Y. Analysis of Landscape Patterns and the Trend of Forest Resources in the Three Gorges Reservoir Area. Journal of Geoscience and Environment Protection, 2018. V. 6. No. 5. P. 181–192. DOI: 10.4236/gep.2018.65015.

For citation: Ukrainskiy P.A. Changes in the form of forests in the Central Russian upland in the submeridional direction (quantitative description based on landscape metrics). 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. 471–479. DOI: 10.35595/2414-9179-2022-1-28-471-479 (in Russian)