TY  - JOUR
AU  - Srejić, Tanja
AU  - Manojlović, Sanja
AU  - Sibinović, Mikica
AU  - Bajat, Branislav
AU  - Novković, Ivan
AU  - Milošević, Marko V.
AU  - Carević, Ivana
AU  - Todosijević, Mirjana
AU  - Sedlak, Marko G.
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1426
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.
T2  - Agriculture-Basel
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
UR  - conv_1700
ER  - 

@article{
author = "Srejić, Tanja and Manojlović, Sanja and Sibinović, Mikica and Bajat, Branislav and Novković, Ivan and Milošević, Marko V. and Carević, Ivana and Todosijević, Mirjana and Sedlak, Marko G.",
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.",
journal = "Agriculture-Basel",
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",
url = "conv_1700"
}

Srejić, T., Manojlović, S., Sibinović, M., Bajat, B., Novković, I., Milošević, M. V., Carević, I., Todosijević, M.,& Sedlak, M. G.. (2023). Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture-Basel, 13(4).
https://doi.org/10.3390/agriculture13040778
conv_1700

Srejić T, Manojlović S, Sibinović M, Bajat B, Novković I, Milošević MV, Carević I, Todosijević M, Sedlak MG. Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture-Basel. 2023;13(4).
doi:10.3390/agriculture13040778
conv_1700 .

Srejić, Tanja, Manojlović, Sanja, Sibinović, Mikica, Bajat, Branislav, Novković, Ivan, Milošević, Marko V., Carević, Ivana, Todosijević, Mirjana, Sedlak, Marko G., "Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia" in Agriculture-Basel, 13, no. 4 (2023),
https://doi.org/10.3390/agriculture13040778 .,
conv_1700 .

TY  - JOUR
AU  - Blagojević, Borislava
AU  - Mihailović, Vladislava
AU  - Bogojević, Aleksandar
AU  - Plavsić, Jasna
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1397
AB  - Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal runoff pattern is constructed by determining quantiles from marginal distributions of daily flows for each day within the year. By applying Fourier transformation on the statistics of the daily flow partial series, we obtain smooth periodical functions of distribution parameters over the year and consequently of the quantiles. The main findings are based on the comparison of the dry, average, and wet hydrologic condition zones as defined by the daily flow quantiles of selected probabilities. This analysis was conducted for ten catchments in Serbia by considering changes between two 30-year nonoverlapping periods, 1961-1990 and 1991-2020. It was found that the relative change in runoff volume is the most pronounced in the extreme dry condition zone in the winter season (-33% to 34%). The annual time shift is the largest in the dry and average condition zones, ranging from -11 to 12 days. The applied methodology is not only applicable to the detection of hydrologic change, but could also be used in operational hydrology and extreme flow studies via drought indices such as the Standardized Streamflow Index.
T2  - Water
T1  - Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows
IS  - 16
VL  - 15
DO  - 10.3390/w15162919
UR  - conv_1724
ER  - 

@article{
author = "Blagojević, Borislava and Mihailović, Vladislava and Bogojević, Aleksandar and Plavsić, Jasna",
year = "2023",
abstract = "Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal runoff pattern is constructed by determining quantiles from marginal distributions of daily flows for each day within the year. By applying Fourier transformation on the statistics of the daily flow partial series, we obtain smooth periodical functions of distribution parameters over the year and consequently of the quantiles. The main findings are based on the comparison of the dry, average, and wet hydrologic condition zones as defined by the daily flow quantiles of selected probabilities. This analysis was conducted for ten catchments in Serbia by considering changes between two 30-year nonoverlapping periods, 1961-1990 and 1991-2020. It was found that the relative change in runoff volume is the most pronounced in the extreme dry condition zone in the winter season (-33% to 34%). The annual time shift is the largest in the dry and average condition zones, ranging from -11 to 12 days. The applied methodology is not only applicable to the detection of hydrologic change, but could also be used in operational hydrology and extreme flow studies via drought indices such as the Standardized Streamflow Index.",
journal = "Water",
title = "Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows",
number = "16",
volume = "15",
doi = "10.3390/w15162919",
url = "conv_1724"
}

Blagojević, B., Mihailović, V., Bogojević, A.,& Plavsić, J.. (2023). Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows. in Water, 15(16).
https://doi.org/10.3390/w15162919
conv_1724

Blagojević B, Mihailović V, Bogojević A, Plavsić J. Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows. in Water. 2023;15(16).
doi:10.3390/w15162919
conv_1724 .

Blagojević, Borislava, Mihailović, Vladislava, Bogojević, Aleksandar, Plavsić, Jasna, "Detecting Annual and Seasonal Hydrological Change Using Marginal Distributions of Daily Flows" in Water, 15, no. 16 (2023),
https://doi.org/10.3390/w15162919 .,
conv_1724 .