TY  - JOUR
AU  - Perović, Veljko
AU  - Čakmak, Dragan
AU  - Stajković Srbinović, Olivera
AU  - Mrvić, Vesna
AU  - Belanović Simić, Snežana
AU  - Matić, Marija
AU  - Pavlović, Dragana
AU  - Jaramaz, Darko
AU  - Mitrović, Miroslava
AU  - Pavlović, Pavle
PY  - 2023
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5819
AB  - Soil degradation is a global problem and researchers are facing the challenge of assessing the scale, trends, and consequences of contributing processes. With this in mind, this study implemented the new concept of multiple soil degradation indices (MSDI) for the first time in the region of ˇSumadija and Western Serbia (SWS). This concept enables the simultaneous integration of several environmental components that can act separately or synergistically and offers concrete answers and information on the state and distribution of physical (PSDI), chemical (CSDI) and biological (BSDI) soil degradation. Using several different geospatial-modelled approaches, results indicated that physical degradation was the greatest contributor to soil degradation in the SWS region with an impact of 55%, followed by chemical degradation at 16%, while biological degradation only had a 6% impact. The dominant indicator of physical degradation was the vegetation cover management factor with an impact of approximately 58%, while for chemical degradation it was soil organic matter, with a relative impact of almost 49%. Total microflora and total number of fungi were the most significant biological indicators with an average impact of approximately 43%. In addition, this study indicated that about 59% of the region is currently
degraded, with about 44% of it classified as moderately degraded. The results of this study offer new insights into the geospatial dynamics of interactive degradation processes in Serbia and can form the basis for strengthening scientific, expert, and political support when implementing international and national policies concerned with protecting soil from degradation.
PB  - Amsterdam: Elsevier
T2  - Ecological Indicators
T1  - A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia
VL  - 148
DO  - 10.1016/j.ecolind.2023.110096
SP  - 110096
ER  - 

@article{
author = "Perović, Veljko and Čakmak, Dragan and Stajković Srbinović, Olivera and Mrvić, Vesna and Belanović Simić, Snežana and Matić, Marija and Pavlović, Dragana and Jaramaz, Darko and Mitrović, Miroslava and Pavlović, Pavle",
year = "2023",
abstract = "Soil degradation is a global problem and researchers are facing the challenge of assessing the scale, trends, and consequences of contributing processes. With this in mind, this study implemented the new concept of multiple soil degradation indices (MSDI) for the first time in the region of ˇSumadija and Western Serbia (SWS). This concept enables the simultaneous integration of several environmental components that can act separately or synergistically and offers concrete answers and information on the state and distribution of physical (PSDI), chemical (CSDI) and biological (BSDI) soil degradation. Using several different geospatial-modelled approaches, results indicated that physical degradation was the greatest contributor to soil degradation in the SWS region with an impact of 55%, followed by chemical degradation at 16%, while biological degradation only had a 6% impact. The dominant indicator of physical degradation was the vegetation cover management factor with an impact of approximately 58%, while for chemical degradation it was soil organic matter, with a relative impact of almost 49%. Total microflora and total number of fungi were the most significant biological indicators with an average impact of approximately 43%. In addition, this study indicated that about 59% of the region is currently
degraded, with about 44% of it classified as moderately degraded. The results of this study offer new insights into the geospatial dynamics of interactive degradation processes in Serbia and can form the basis for strengthening scientific, expert, and political support when implementing international and national policies concerned with protecting soil from degradation.",
publisher = "Amsterdam: Elsevier",
journal = "Ecological Indicators",
title = "A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia",
volume = "148",
doi = "10.1016/j.ecolind.2023.110096",
pages = "110096"
}

Perović, V., Čakmak, D., Stajković Srbinović, O., Mrvić, V., Belanović Simić, S., Matić, M., Pavlović, D., Jaramaz, D., Mitrović, M.,& Pavlović, P.. (2023). A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia. in Ecological Indicators
Amsterdam: Elsevier., 148, 110096.
https://doi.org/10.1016/j.ecolind.2023.110096

Perović V, Čakmak D, Stajković Srbinović O, Mrvić V, Belanović Simić S, Matić M, Pavlović D, Jaramaz D, Mitrović M, Pavlović P. A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia. in Ecological Indicators. 2023;148:110096.
doi:10.1016/j.ecolind.2023.110096 .

Perović, Veljko, Čakmak, Dragan, Stajković Srbinović, Olivera, Mrvić, Vesna, Belanović Simić, Snežana, Matić, Marija, Pavlović, Dragana, Jaramaz, Darko, Mitrović, Miroslava, Pavlović, Pavle, "A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia" in Ecological Indicators, 148 (2023):110096,
https://doi.org/10.1016/j.ecolind.2023.110096 . .

TY  - JOUR
AU  - Čakmak, Dragan
AU  - Pavlović, Pavle
AU  - Mrvić, Vesna
AU  - Saljnikov, Elmira
AU  - Perović, Veljko
AU  - Jaramaz, Darko
AU  - Sikirić, Biljana
PY  - 2023
UR  - https://linkinghub.elsevier.com/retrieve/pii/S0341816222008517
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5356
AB  - Determining the sources of potentially toxic elements (PTEs) in soil is one of the basic postulates for dealing with them properly in the future. In addition to total PTEs, it is extremely important to identify sources of available PTEs, for two reasons: 1. to determine their actual impact on the ecosystem, and 2. to establish whether sufficient levels are present in soil if they are necessary for plant development. In this study, two receptor models were used to determine sources of diethylenetriaminepentaacetic acid (DTPA)-extractable PTEs in soil in Rasina District, Serbia in 2017: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF). Appropriate PCA was used for total forms and the accuracy of the models in determining sources was tested by comparing them. Based on the results, obtained in quite a complex geological environment, the universality and superiority of the PMF model in so-called diffusion systems, which are more prone to change, was confirmed. The PMF model took geological and anthropogenic sources, characteristic of PCA of total PTEs, into account in equal measure, as well as pedological sources, which are more characteristic of PCA of DTPA-PTEs. The accuracy of the model was also confirmed by the greater number of factors, i.e. 5 in the PMF model compared to 3 in PCA. Based on the obtained results, it is clear that the use of the PMF model is justified when determining sources of individual available PTEs in soil.
PB  - Elsevier B.V.
T2  - CATENA
T1  - Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study
VL  - 222
DO  - 10.1016/j.catena.2022.106865
SP  - 106865
ER  - 

@article{
author = "Čakmak, Dragan and Pavlović, Pavle and Mrvić, Vesna and Saljnikov, Elmira and Perović, Veljko and Jaramaz, Darko and Sikirić, Biljana",
year = "2023",
abstract = "Determining the sources of potentially toxic elements (PTEs) in soil is one of the basic postulates for dealing with them properly in the future. In addition to total PTEs, it is extremely important to identify sources of available PTEs, for two reasons: 1. to determine their actual impact on the ecosystem, and 2. to establish whether sufficient levels are present in soil if they are necessary for plant development. In this study, two receptor models were used to determine sources of diethylenetriaminepentaacetic acid (DTPA)-extractable PTEs in soil in Rasina District, Serbia in 2017: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF). Appropriate PCA was used for total forms and the accuracy of the models in determining sources was tested by comparing them. Based on the results, obtained in quite a complex geological environment, the universality and superiority of the PMF model in so-called diffusion systems, which are more prone to change, was confirmed. The PMF model took geological and anthropogenic sources, characteristic of PCA of total PTEs, into account in equal measure, as well as pedological sources, which are more characteristic of PCA of DTPA-PTEs. The accuracy of the model was also confirmed by the greater number of factors, i.e. 5 in the PMF model compared to 3 in PCA. Based on the obtained results, it is clear that the use of the PMF model is justified when determining sources of individual available PTEs in soil.",
publisher = "Elsevier B.V.",
journal = "CATENA",
title = "Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study",
volume = "222",
doi = "10.1016/j.catena.2022.106865",
pages = "106865"
}

Čakmak, D., Pavlović, P., Mrvić, V., Saljnikov, E., Perović, V., Jaramaz, D.,& Sikirić, B.. (2023). Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study. in CATENA
Elsevier B.V.., 222, 106865.
https://doi.org/10.1016/j.catena.2022.106865

Čakmak D, Pavlović P, Mrvić V, Saljnikov E, Perović V, Jaramaz D, Sikirić B. Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study. in CATENA. 2023;222:106865.
doi:10.1016/j.catena.2022.106865 .

Čakmak, Dragan, Pavlović, Pavle, Mrvić, Vesna, Saljnikov, Elmira, Perović, Veljko, Jaramaz, Darko, Sikirić, Biljana, "Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study" in CATENA, 222 (2023):106865,
https://doi.org/10.1016/j.catena.2022.106865 . .

TY  - JOUR
AU  - Saljnikov, Elmira
AU  - Mrvić, Vesna
AU  - Čakmak, Dragan
AU  - Jaramaz, Darko
AU  - Perović, Veljko
AU  - Antić-Mladenović, Svetlana
AU  - Pavlović, Pavle
PY  - 2019
UR  - http://link.springer.com/10.1007/s10653-019-00281-y
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3331
AB  - Alluvial soils of valleys of the Danube and Mlave rivers represent priority development areas with favorable conditions for life, agriculture and tourism in eastern Serbia. Operation of the thermal power plant Kostolac results in the emission of potentially toxic pollutants into the air, water and land. The goals were to determine the soil pollution with inorganic pollutants using different pollution indices, to identify of the sources of pollutants by means of principal component analysis and the loading of each factor for individual element assessed by multi-linear regression analyses. Chemical characteristics of the studied area resulted in division of the area into four impact zones upon the distance from main pollutants (power plant blocks and ash disposal dumps). There was no established soil pollution with potentially toxic elements in bulk of the agricultural territory. Two principal components (PC1 and PC2) explained about 73% of variance. Three studied elements (As, Cu and Pb) showed anthropogenic origin of their most concentrations in soil, while other elements (Cd, Co, Cr, Ni and Zn) were of a natural (geological) origin. Single pollution index showed moderate pollution level by Ni. Integrated Nemerow pollution index showed low to no pollution levels, indicating slight ecological risk. There were no established limitations for agricultural production in the studied area, except for the only spot polluted by As due to the great flooding event in the studied year.
T2  - Environmental Geochemistry and Health
T1  - Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant.
DO  - 10.1007/s10653-019-00281-y
ER  - 

@article{
author = "Saljnikov, Elmira and Mrvić, Vesna and Čakmak, Dragan and Jaramaz, Darko and Perović, Veljko and Antić-Mladenović, Svetlana and Pavlović, Pavle",
year = "2019",
abstract = "Alluvial soils of valleys of the Danube and Mlave rivers represent priority development areas with favorable conditions for life, agriculture and tourism in eastern Serbia. Operation of the thermal power plant Kostolac results in the emission of potentially toxic pollutants into the air, water and land. The goals were to determine the soil pollution with inorganic pollutants using different pollution indices, to identify of the sources of pollutants by means of principal component analysis and the loading of each factor for individual element assessed by multi-linear regression analyses. Chemical characteristics of the studied area resulted in division of the area into four impact zones upon the distance from main pollutants (power plant blocks and ash disposal dumps). There was no established soil pollution with potentially toxic elements in bulk of the agricultural territory. Two principal components (PC1 and PC2) explained about 73% of variance. Three studied elements (As, Cu and Pb) showed anthropogenic origin of their most concentrations in soil, while other elements (Cd, Co, Cr, Ni and Zn) were of a natural (geological) origin. Single pollution index showed moderate pollution level by Ni. Integrated Nemerow pollution index showed low to no pollution levels, indicating slight ecological risk. There were no established limitations for agricultural production in the studied area, except for the only spot polluted by As due to the great flooding event in the studied year.",
journal = "Environmental Geochemistry and Health",
title = "Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant.",
doi = "10.1007/s10653-019-00281-y"
}

Saljnikov, E., Mrvić, V., Čakmak, D., Jaramaz, D., Perović, V., Antić-Mladenović, S.,& Pavlović, P.. (2019). Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant.. in Environmental Geochemistry and Health.
https://doi.org/10.1007/s10653-019-00281-y

Saljnikov E, Mrvić V, Čakmak D, Jaramaz D, Perović V, Antić-Mladenović S, Pavlović P. Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant.. in Environmental Geochemistry and Health. 2019;.
doi:10.1007/s10653-019-00281-y .

Saljnikov, Elmira, Mrvić, Vesna, Čakmak, Dragan, Jaramaz, Darko, Perović, Veljko, Antić-Mladenović, Svetlana, Pavlović, Pavle, "Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant." in Environmental Geochemistry and Health (2019),
https://doi.org/10.1007/s10653-019-00281-y . .

TY  - JOUR
AU  - Perović, Veljko
AU  - Jakšić, Darko
AU  - Jaramaz, Darko
AU  - Koković, Nikola
AU  - Čakmak, Dragan
AU  - Mitrović, Miroslava
AU  - Pavlović, Pavle
PY  - 2018
UR  - http://link.springer.com/10.1007/s10661-018-7025-4
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3173
AB  - In this paper, various spatial modelling techniques were applied to analyse changes in soil cover and their impact on soil erosion in the Oplenac wine-producing area in Serbia in the past (1985 and 2013) and in the future (with predictions for 2041). The Integrated Valuation of Ecosystem Services and Trade-offs Sediment Delivery Ratio (InVEST SDR) model and the Modules for Land Use Change Evaluation (MOLUSCE) model, integrated with methods of remote sensing, were successfully applied and were shown to be valid tools for predicting the impact of Land Use Land Cover (LULC) changes when estimating soil loss. The results revealed that the greatest impact of land use changes between 1985 and 2013 was on a reduction in areas under vineyards and an extension of meadow and pasturelands as an individual and social response to economic conditions during the research period. The forecast for 2041 reflected the trends observed in the previous period, with the greatest changes witnessing an increase in urban areas and a decrease in areas of arable land. It was also found that the effect of LULC changes on spatio-temporal patterns in the Oplenac wine-producing area did not have a major impact on soil loss, meaning this area, with its good agro-climatic characteristics, is suitable for the intensification of agricultural production.
T2  - Environmental Monitoring and Assessment
T1  - Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia)
IS  - 11
VL  - 190
DO  - 10.1007/s10661-018-7025-4
SP  - 675
ER  - 

@article{
author = "Perović, Veljko and Jakšić, Darko and Jaramaz, Darko and Koković, Nikola and Čakmak, Dragan and Mitrović, Miroslava and Pavlović, Pavle",
year = "2018",
abstract = "In this paper, various spatial modelling techniques were applied to analyse changes in soil cover and their impact on soil erosion in the Oplenac wine-producing area in Serbia in the past (1985 and 2013) and in the future (with predictions for 2041). The Integrated Valuation of Ecosystem Services and Trade-offs Sediment Delivery Ratio (InVEST SDR) model and the Modules for Land Use Change Evaluation (MOLUSCE) model, integrated with methods of remote sensing, were successfully applied and were shown to be valid tools for predicting the impact of Land Use Land Cover (LULC) changes when estimating soil loss. The results revealed that the greatest impact of land use changes between 1985 and 2013 was on a reduction in areas under vineyards and an extension of meadow and pasturelands as an individual and social response to economic conditions during the research period. The forecast for 2041 reflected the trends observed in the previous period, with the greatest changes witnessing an increase in urban areas and a decrease in areas of arable land. It was also found that the effect of LULC changes on spatio-temporal patterns in the Oplenac wine-producing area did not have a major impact on soil loss, meaning this area, with its good agro-climatic characteristics, is suitable for the intensification of agricultural production.",
journal = "Environmental Monitoring and Assessment",
title = "Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia)",
number = "11",
volume = "190",
doi = "10.1007/s10661-018-7025-4",
pages = "675"
}

Perović, V., Jakšić, D., Jaramaz, D., Koković, N., Čakmak, D., Mitrović, M.,& Pavlović, P.. (2018). Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia). in Environmental Monitoring and Assessment, 190(11), 675.
https://doi.org/10.1007/s10661-018-7025-4

Perović V, Jakšić D, Jaramaz D, Koković N, Čakmak D, Mitrović M, Pavlović P. Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia). in Environmental Monitoring and Assessment. 2018;190(11):675.
doi:10.1007/s10661-018-7025-4 .

Perović, Veljko, Jakšić, Darko, Jaramaz, Darko, Koković, Nikola, Čakmak, Dragan, Mitrović, Miroslava, Pavlović, Pavle, "Spatio-temporal analysis of land use/land cover change and its effects on soil erosion (Case study in the Oplenac wine-producing area, Serbia)" in Environmental Monitoring and Assessment, 190, no. 11 (2018):675,
https://doi.org/10.1007/s10661-018-7025-4 . .

TY  - CONF
AU  - Perović, Veljko
AU  - Čakmak, Dragan
AU  - Marković, Milica
AU  - Jaramaz, Darko
AU  - Kostić, Olga
AU  - Mitrović, Miroslava
AU  - Pavlović, Pavle
PY  - 2017
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5419
AB  - INTRODUCTION and OBJECTIVES: 
Soil erosion is the most common form of land degradation, and as such represents a serious constraint to the sustainable development of economy and society. Nowadays, wide spectrums of models for erosion risk evaluation are available. 'Ihe most commonly used erosion models in the world are: USLE (Universal Soil Loss Equation), RUSLE (Revised Universal Soil Loss Equation), WaTEM/SEDEM (K.U.Lcuven, Belgium), ANSWERS (Areal Nonpoint Source Watershed Environment Response Simulator) and SWAT (Soil and Water Assessment Tool).The Natural Capital Project has developed a program that is engaged in spatial ecosystem management through the tool that is called Integrated Valuation of Ecosystem Services and Tradeoffs (In VEST). In VEST's sediment erosion model is an integral part of the mentioned project and it is available in the fom1 of open source software. Dominant data represented in this model are climate, soil, topography, land use and others.The paper aims to identify areas threatened by erosion processes and quantify the current erosion intensity of agricultural land in the Blacc municipality by employing lnYES'l's sediment erosion model. 
MATERIAL and METHOD: 
InVESTs sediment erosion model estimate erosion processes, using method that is based on the Universal Soil Loss Equation (USLE) (Wischmeier and Smith, 1978). Model is a spatially oriented, and by employing raster structure the parts of the ecosystem can be divided into small spatial units (raster cells). The main unit in which the model estimated erosion processes is t ha-1yf1 • Data that arc necessary for running the model arc: Digital elevation model (DEM), Rainfall erosivity index, Soil crodibility, Land use/land cover (LULC), Watersheds (shapefile), Biophysical table (lucode, usle_c, usle_p), Threshold tlow accumulation, Borselli k Parameter, Borselli ICO Parameter and Max SDR Value. After main calculation, the model creates several raster, vector and text files, among which the most important are: rkls (tons/pixel), sed_export.tif (tons/pixel), usle (tons/pixel), sed _retention (tons/pixel), sed_retention_index (tons/pixel), watcrshed_results_sdr (.shp) and sed _ export (tons/watershed). 
RESULTS and CONCLUSIONS: 
Annual losses of agricultural land in municipality of Blace using In VEST sediment erosion model is in the range from O to 182.22 t ha-'yr-', with an average erosion intensity of 7.39 t ha-'yr-1, which this area according to OECD (Organisation for Economic Co-operation and Development) classified in a group with poorly risk of erosion processes. SDR (sediment delivery ratio) reflects landscape connectivity (connection between the source of runoff, sediment, and sinks), and inside the model was represented at the pixel level. Pixels are hydrologically connected to the characteristics of the upslope area (C factor and slope). SDR normally has a value in range between O and I. The value of the SDR in the municipality of Blace is in the range from O to 0.21, with an average level of 0.06 tonnes per pixel. The current state of erosion processes on agricultural lands at municipality of Blace does not indicate concerns and the need for the conservation measures implementation. However, in agricultural areas that have intense erosion processes, stiould be perfonned crop rotation and reorientation from annual to multi-annual crops.
PB  - Novi Sad: Faculty of Agricultur
PB  - Belgrade : Soil Science Society of Serbia
C3  - Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia
T1  - Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study
SP  - 116
UR  - https://hdl.handle.net/21.15107/rcub_ibiss_5419
ER  - 

@conference{
author = "Perović, Veljko and Čakmak, Dragan and Marković, Milica and Jaramaz, Darko and Kostić, Olga and Mitrović, Miroslava and Pavlović, Pavle",
year = "2017",
abstract = "INTRODUCTION and OBJECTIVES: 
Soil erosion is the most common form of land degradation, and as such represents a serious constraint to the sustainable development of economy and society. Nowadays, wide spectrums of models for erosion risk evaluation are available. 'Ihe most commonly used erosion models in the world are: USLE (Universal Soil Loss Equation), RUSLE (Revised Universal Soil Loss Equation), WaTEM/SEDEM (K.U.Lcuven, Belgium), ANSWERS (Areal Nonpoint Source Watershed Environment Response Simulator) and SWAT (Soil and Water Assessment Tool).The Natural Capital Project has developed a program that is engaged in spatial ecosystem management through the tool that is called Integrated Valuation of Ecosystem Services and Tradeoffs (In VEST). In VEST's sediment erosion model is an integral part of the mentioned project and it is available in the fom1 of open source software. Dominant data represented in this model are climate, soil, topography, land use and others.The paper aims to identify areas threatened by erosion processes and quantify the current erosion intensity of agricultural land in the Blacc municipality by employing lnYES'l's sediment erosion model. 
MATERIAL and METHOD: 
InVESTs sediment erosion model estimate erosion processes, using method that is based on the Universal Soil Loss Equation (USLE) (Wischmeier and Smith, 1978). Model is a spatially oriented, and by employing raster structure the parts of the ecosystem can be divided into small spatial units (raster cells). The main unit in which the model estimated erosion processes is t ha-1yf1 • Data that arc necessary for running the model arc: Digital elevation model (DEM), Rainfall erosivity index, Soil crodibility, Land use/land cover (LULC), Watersheds (shapefile), Biophysical table (lucode, usle_c, usle_p), Threshold tlow accumulation, Borselli k Parameter, Borselli ICO Parameter and Max SDR Value. After main calculation, the model creates several raster, vector and text files, among which the most important are: rkls (tons/pixel), sed_export.tif (tons/pixel), usle (tons/pixel), sed _retention (tons/pixel), sed_retention_index (tons/pixel), watcrshed_results_sdr (.shp) and sed _ export (tons/watershed). 
RESULTS and CONCLUSIONS: 
Annual losses of agricultural land in municipality of Blace using In VEST sediment erosion model is in the range from O to 182.22 t ha-'yr-', with an average erosion intensity of 7.39 t ha-'yr-1, which this area according to OECD (Organisation for Economic Co-operation and Development) classified in a group with poorly risk of erosion processes. SDR (sediment delivery ratio) reflects landscape connectivity (connection between the source of runoff, sediment, and sinks), and inside the model was represented at the pixel level. Pixels are hydrologically connected to the characteristics of the upslope area (C factor and slope). SDR normally has a value in range between O and I. The value of the SDR in the municipality of Blace is in the range from O to 0.21, with an average level of 0.06 tonnes per pixel. The current state of erosion processes on agricultural lands at municipality of Blace does not indicate concerns and the need for the conservation measures implementation. However, in agricultural areas that have intense erosion processes, stiould be perfonned crop rotation and reorientation from annual to multi-annual crops.",
publisher = "Novi Sad: Faculty of Agricultur, Belgrade : Soil Science Society of Serbia",
journal = "Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia",
title = "Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study",
pages = "116",
url = "https://hdl.handle.net/21.15107/rcub_ibiss_5419"
}

Perović, V., Čakmak, D., Marković, M., Jaramaz, D., Kostić, O., Mitrović, M.,& Pavlović, P.. (2017). Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study. in Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia
Novi Sad: Faculty of Agricultur., 116.
https://hdl.handle.net/21.15107/rcub_ibiss_5419

Perović V, Čakmak D, Marković M, Jaramaz D, Kostić O, Mitrović M, Pavlović P. Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study. in Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia. 2017;:116.
https://hdl.handle.net/21.15107/rcub_ibiss_5419 .

Perović, Veljko, Čakmak, Dragan, Marković, Milica, Jaramaz, Darko, Kostić, Olga, Mitrović, Miroslava, Pavlović, Pavle, "Implementation of a new erosion model (Invest’s sediment erosion model) at Blace municipality (Serbia) – case study" in Book of Abstracts: 2nd International and 14th National Congress of Soil Science Society of Serbia: Solutions and Projections for Sustainable Soil Management; 2017 Sep 25-28; Novi Sad, Serbia (2017):116,
https://hdl.handle.net/21.15107/rcub_ibiss_5419 .