ORIGINAL RESEARCH
Assessment of Soil Erosion Rates Using Revised Universal Soil Loss Equation (RUSLE) and GIS in Bačka (Serbia)
Nikola Milentijević 1  
,   Miloš Ostojić 2  
,   Renata Fekete 2  
,   Kristina Kalkan 2  
,   Dušan Ristić 1  
,   Nikola R. Bačević 1  
,   Vladica Stevanović 1  
,   Milana Pantelić 2  
 
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1
University of Priština in Kosovska Mitrovica, Faculty of Sciences and Mathematics, Department of Geography, Lole Ribara 29, 38220 Kosovska Mitrovica, Serbia
2
University of Novi Sad, Faculty of Sciences, Department of Geography, Tourism and Hotel Management, Trg Dositeja Obradovića 3, 21000 Novi Sad, Serbia
CORRESPONDING AUTHOR
Dušan Ristić   

Geography, University in Priština – Kosovska Mitrovica, Faculty of Sciences, Lole Ribara 29, 38220, Kosovska Mitrovica, Serbia
Submission date: 2021-01-20
Final revision date: 2021-03-28
Acceptance date: 2021-04-08
Online publication date: 2021-09-01
 
 
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ABSTRACT
Soil erosion assessment enables the identification of manifested soil erosion categories, their spatial distribution and the relationship between soil erosion and land use patterns. The integrated approach of the RUSLE method and GIS tools was used in estimating soil erosion rates in Bačka (Serbia). Previous research of soil erosion intensity in the study area was last performed 50 years ago. The spatial distribution of the calculated erosive factors shows the diversity of erosive conditions. The results indicate that the average annual soil loss is from 0 to 28.6 t ha–¹ yr–¹. The soil erosion is particularly pronounced in the area of the Titel loess plateau (up to 28.6 t ha–¹ yr–¹). The results indicate the diversity of the erosion rates depending on the land use. Multiple correlation indicates that the LS factor has the largest effect on erosion (correlation coefficient 1). The results in this paper can be used in planning future conservation measures, especially if the recent field measurements of soil erosion are added. This research is also important since the RUSLE method represents a new approach in determining the soil erosion intensity.
eISSN:2083-5906
ISSN:1230-1485