Mrvić, Vesna

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A conceptual modelling framework for assessment multiple soil degradation: A case study in the region of Šumadija and Western Serbia

Perović, Veljko; Čakmak, Dragan; Stajković Srbinović, Olivera; Mrvić, Vesna; Belanović Simić, Snežana; Matić, Marija; Pavlović, Dragana; Jaramaz, Darko; Mitrović, Miroslava; Pavlović, Pavle

(Amsterdam: Elsevier, 2023)

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 . .
2
1

Using different receptor models to determine the sources of available forms of potentially toxic elements in Rasina District – A case study

Čakmak, Dragan; Pavlović, Pavle; Mrvić, Vesna; Saljnikov, Elmira; Perović, Veljko; Jaramaz, Darko; Sikirić, Biljana

(Elsevier B.V., 2023)

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 . .
2
2

Pollution indices and sources appointment of heavy metal pollution of agricultural soils near the thermal power plant.

Saljnikov, Elmira; Mrvić, Vesna; Čakmak, Dragan; Jaramaz, Darko; Perović, Veljko; Antić-Mladenović, Svetlana; Pavlović, Pavle

(2019)

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 . .
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