ESTIMATION OF SOIL EROSION DYNAMICS USING REMOTE SENSING AND SWAT IN KOPAONIK NATIONAL PARK, SERBIA Cover Image

ESTIMATION OF SOIL EROSION DYNAMICS USING REMOTE SENSING AND SWAT IN KOPAONIK NATIONAL PARK, SERBIA
ESTIMATION OF SOIL EROSION DYNAMICS USING REMOTE SENSING AND SWAT IN KOPAONIK NATIONAL PARK, SERBIA

Author(s): Ivan Potić, Nina Ćurčić, Milan Radovanović, Gorica Stanojević, Slavica Malinović-Milićević, Stanislav Yamashkin, Anatoly A. Yamashkin
Subject(s): Geography, Regional studies, Physical Geopgraphy
Published by: Географски институт »Јован Цвијић« САНУ
Keywords: sedimentation; surface runoff; Landsat; mountain area; LCLU change

Summary/Abstract: Soil erosion is a global environmental and economic problem that is significantly related to land-use changes. Over the last decades, several mountain areas in Serbia were exposed to strong human pressure caused by winter tourism development. The largest ski center in Serbia is situated on Kopaonik Mountain within the boundaries of Kopaonik National Park, where the conflict between economic and conservation goals is rapidly growing. In this study, we calculated the sedimentation and surface runoff in three sub-basins in the area of Kopaonik ski resort for two years (1984 and 2018) using the Soil and Water Assessment Tool (SWAT) and analyzed the changes that occurred during the observed period. The results show an increase in surface runoff and sediment yield in sub-basins 1 and 3 and a decrease in sub-basin 2. The analysis of land cover change shows an expansion of evergreen forests, appearance of barren soil and urban areas, reduction of mixed forest sand pastures, and the appearance of deciduous forests. These findings indicate that in the area studied, the dominant processes are the development of tourism and natural re vegetation of abandoned agricultural land. Application of remote sensing techniques and SWAT contributes to identifying and monitoring land degradation problems and improving conservation and management practices.

  • Issue Year: 71/2021
  • Issue No: 3
  • Page Range: 231-247
  • Page Count: 17
  • Language: English