Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia
Authors
Srejić, TanjaManojlović, Sanja
Sibinović, Mikica
Bajat, Branislav
Novković, Ivan
Milošević, V.Marko
Carević, Ivana
Todosijević, Mirjana
Sedlak, G.Marko
Article (Published version)
Metadata
Show full item recordAbstract
The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, th...e smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.
Keywords:
soil erosion intensity / deagrarization / univariate and bivariate local Moran’s I / principal component analysis / SerbiaSource:
Agriculture, 2023, 13, 4Publisher:
- MDPI
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200091 (University of Belgrade, Faculty of Geography) (RS-MESTD-inst-2020-200091)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200092 (University of Belgrade, Faculty of Civil Engineering) (RS-MESTD-inst-2020-200092)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200169 (University of Belgrade, Faculty of Forestry) (RS-MESTD-inst-2020-200169)
Institution/Community
GraFarTY - JOUR AU - Srejić, Tanja AU - Manojlović, Sanja AU - Sibinović, Mikica AU - Bajat, Branislav AU - Novković, Ivan AU - Milošević, V.Marko AU - Carević, Ivana AU - Todosijević, Mirjana AU - Sedlak, G.Marko PY - 2023 UR - https://grafar.grf.bg.ac.rs/handle/123456789/3079 AB - The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity. PB - MDPI T2 - Agriculture T1 - Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia IS - 4 VL - 13 DO - 10.3390/agriculture13040778 ER -
@article{ author = "Srejić, Tanja and Manojlović, Sanja and Sibinović, Mikica and Bajat, Branislav and Novković, Ivan and Milošević, V.Marko and Carević, Ivana and Todosijević, Mirjana and Sedlak, G.Marko", year = "2023", abstract = "The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.", publisher = "MDPI", journal = "Agriculture", title = "Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia", number = "4", volume = "13", doi = "10.3390/agriculture13040778" }
Srejić, T., Manojlović, S., Sibinović, M., Bajat, B., Novković, I., Milošević, V.Marko, Carević, I., Todosijević, M.,& Sedlak, G.Marko. (2023). Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture MDPI., 13(4). https://doi.org/10.3390/agriculture13040778
Srejić T, Manojlović S, Sibinović M, Bajat B, Novković I, Milošević V, Carević I, Todosijević M, Sedlak G. Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture. 2023;13(4). doi:10.3390/agriculture13040778 .
Srejić, Tanja, Manojlović, Sanja, Sibinović, Mikica, Bajat, Branislav, Novković, Ivan, Milošević, V.Marko, Carević, Ivana, Todosijević, Mirjana, Sedlak, G.Marko, "Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia" in Agriculture, 13, no. 4 (2023), https://doi.org/10.3390/agriculture13040778 . .