Golubović, Slađana

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Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia

Dugonjić, Mladen; Đorđević, Aleksandar; Golubović, Slađana; Radmanović, Svjetlana

(Srpsko društvo za proučavanje zemljišta, 2022)

TY  - JOUR
AU  - Dugonjić, Mladen
AU  - Đorđević, Aleksandar
AU  - Golubović, Slađana
AU  - Radmanović, Svjetlana
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6776
AB  - The impact of various types of uses of Pseudogley soils in southern Mačva and Pocerina on
theiraggregate distributionand stability was studied on soil samples collected from profiles under
forest, meadow and arable land, at three localities. The aggregate composition and stability were
determined by Savinov’smethod. The soil structure was assessed by using Revut’s coefficient of soil
structure (Ks) and Vershinin’s coefficient of soil aggregate structure (KA). The results show that the
studied Pseudogley soils are characterized by an unfavorable structure, while the type of land use has
a significant impact on the aggregate composition and stability, especially in surface Ah and Ahp
horizons, where these differences are the most pronounced. The most favorable aggregate
composition and highest wet-stability are found in Pseudogley profiles under forest vegetation. The
aggregate distribution of meadow profiles was intermediate and of arable land the poorest. Statistical
analysis of the collected data shows that Ks values, determined by dry sieving, were the highest in
forest profiles (2.261.21 on average), while the values for meadow were 1.591.09 and of arable
land 1.140.62. The values of KA, used to assess the aggregate stability to water, also show that forest
Pseudogleys have the highest average values (2.051.03), followed by meadow (1.96 0.99) and
cultivated soils (1.931.22). The results of correlation analysis indicate that Ks is negatively
correlated with clay, pH value and base saturation, but positively correlated with soil humus (r=-0.77,
-0.70, -0.81 and 0.79, respectively, p<0.01). Conversely, KA is negatively correlated with humus and
positively correlated with clay, pH value and base saturation (r=-0.21, 0.82, 0.69 and 0.69,
respectively, p<0.01).
PB  - Srpsko društvo za proučavanje zemljišta
T2  - ZEMLJIŠTE I BILJKA
T1  - Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia
EP  - 14
IS  - 1
SP  - 1
VL  - 71
DO  - 10.5937/ZemBilj2201001D
ER  - 
@article{
author = "Dugonjić, Mladen and Đorđević, Aleksandar and Golubović, Slađana and Radmanović, Svjetlana",
year = "2022",
abstract = "The impact of various types of uses of Pseudogley soils in southern Mačva and Pocerina on
theiraggregate distributionand stability was studied on soil samples collected from profiles under
forest, meadow and arable land, at three localities. The aggregate composition and stability were
determined by Savinov’smethod. The soil structure was assessed by using Revut’s coefficient of soil
structure (Ks) and Vershinin’s coefficient of soil aggregate structure (KA). The results show that the
studied Pseudogley soils are characterized by an unfavorable structure, while the type of land use has
a significant impact on the aggregate composition and stability, especially in surface Ah and Ahp
horizons, where these differences are the most pronounced. The most favorable aggregate
composition and highest wet-stability are found in Pseudogley profiles under forest vegetation. The
aggregate distribution of meadow profiles was intermediate and of arable land the poorest. Statistical
analysis of the collected data shows that Ks values, determined by dry sieving, were the highest in
forest profiles (2.261.21 on average), while the values for meadow were 1.591.09 and of arable
land 1.140.62. The values of KA, used to assess the aggregate stability to water, also show that forest
Pseudogleys have the highest average values (2.051.03), followed by meadow (1.96 0.99) and
cultivated soils (1.931.22). The results of correlation analysis indicate that Ks is negatively
correlated with clay, pH value and base saturation, but positively correlated with soil humus (r=-0.77,
-0.70, -0.81 and 0.79, respectively, p<0.01). Conversely, KA is negatively correlated with humus and
positively correlated with clay, pH value and base saturation (r=-0.21, 0.82, 0.69 and 0.69,
respectively, p<0.01).",
publisher = "Srpsko društvo za proučavanje zemljišta",
journal = "ZEMLJIŠTE I BILJKA",
title = "Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia",
pages = "14-1",
number = "1",
volume = "71",
doi = "10.5937/ZemBilj2201001D"
}
Dugonjić, M., Đorđević, A., Golubović, S.,& Radmanović, S.. (2022). Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia. in ZEMLJIŠTE I BILJKA
Srpsko društvo za proučavanje zemljišta., 71(1), 1-14.
https://doi.org/10.5937/ZemBilj2201001D
Dugonjić M, Đorđević A, Golubović S, Radmanović S. Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia. in ZEMLJIŠTE I BILJKA. 2022;71(1):1-14.
doi:10.5937/ZemBilj2201001D .
Dugonjić, Mladen, Đorđević, Aleksandar, Golubović, Slađana, Radmanović, Svjetlana, "Land use impact on soil structure of Pseudogleys in southern Mačva and Pocerina, Serbia" in ZEMLJIŠTE I BILJKA, 71, no. 1 (2022):1-14,
https://doi.org/10.5937/ZemBilj2201001D . .
2

Land degradation neutrality in Serbia

Zivotic, Ljubomir; Golubović, Slađana; Radmanović, Svjetlana; Belić, Milivoj; Đorđević, Aleksandar

(Srpsko društvo za proučavanje zemljišta, 2017)

TY  - CONF
AU  - Zivotic, Ljubomir
AU  - Golubović, Slađana
AU  - Radmanović, Svjetlana
AU  - Belić, Milivoj
AU  - Đorđević, Aleksandar
PY  - 2017
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6751
AB  - Land degradation neutrality (LDN) is defined as a state whereby the amount and quality of land
resources necessary to support ecosystem functions and services and enhance food security remain stable or increase within specified temporal and spatial scales. This concept is a part of sustainable development goal 15 of the UN Agenda for Sustainable Development. Target 15.3 aims to combat desertification, restore degraded land and soil, including land affected by desertification, drought and floods, and strive to achieve a land degradation-neutral world by 2030. The achievement of this target is measured through indicator called “Proportion of land that is degraded over total land area”. United Nations Convention to Combat Desertification (UNCCD) endorsed SDG target 15.3 and the concept of land degradation neutrality as a strong vehicle for the implementation of the Convention. Countries are invited to formulate voluntary targets to achieve LDN. UNCCD provide guidance for formulating national voluntary targets and facilitate utilization of the UNCCD indicator framework. Republic of Serbia has ratified Convention in 2007 and actively works on LDN target setting process. This paper aims to present: (a) the basic principles of LDN concept, (b) global datasets provided by UNCCD, (c) SWOT analysis for the country, and (d) to discuss possible national datasets and further activities related to LDN.
Indicator “Proportion of land that is degraded over total land area” is measured by means of three subindicators: land cover, land productivity and soil organic carbon. This indicator framework could be broaden with national indicators by decision of the country. Country has been provided by global data on land cover from European Space Agency (ESA). Land productivity dynamics (LPD) dataset was prepared by Joint Research Centre of the European Commission, while soil organic carbon (SOC) dataset was provided by ISRIC. Watershed boundaries are provided from FAO GAUL network. Net area change as a result of comparison between two periods for land covers change and SOC, while LPD is obtained as a trend for the 15 years period. ESA land cover data are given for the two epochs, around 2000 and 2010. These data indicate the loss of 3,800 ha of forests and their conversion to croplands or shrubs. National datasets on land cover exist but their utilization is constrained with the necessity to have dataset for two period of time and to have regular acquisition of future data which are necessary for further analysis and monitoring.
Land productivity dynamics data indicated that 5% of the Serbian territory has negative trends in land productivity for the period 1998-2013. There are no national data on LPD obtained according to LDN concept. Soil organic carbon for the country indicates average content of 82.2 t/ha. National data on SOC stocks exist in the databases of relevant institutions but the problems in their utilization are related to the fact that they are sometimes very old, rarely geo-referenced, and obtained by various analytical and terrain procedures. Hence, global data on SOC stocks do not present real country situation, while national SOC stocks data should be systematized to be confident. Indicator analysis at watershed level has recognized the watersheds of Great Morava, Tisa, Sava 3 and South Morava and Nisava rivers, as four watersheds which present 50% of degraded areas according to the proposed methodology. These watersheds should be prone to detailed analysis of around 20 potential hotspots are found in the country. LDN baseline is not yet decided on a country level. Global land cover and land productivity dynamics data will be used until we obtain national data for these indicators. SOC national data should be systematized and used instead of global data. Further activities in LDN target setting process are related to the establishment of LDN baseline, analysis of land degradation trends and drivers, and suggestion of possible national voluntary targets and associated measures at the country, local and/or watershed level. The inclusion of national indicators should be further discussed. LDN concept should be strongly lead by the Government of Republic of Serbia. Hence, Serbian UNCCD NAP document should be finalized, adopted by the Government and LDN embedded into the NAP.
PB  - Srpsko društvo za proučavanje zemljišta
C3  - 2nd International and 14th National Congress of Soil Science Society of Serbia "Solutions and Projections for Sustainable Soil Management", Novi Sad, Serbia
T1  - Land degradation neutrality in Serbia
EP  - 92
SP  - 80
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6751
ER  - 
@conference{
author = "Zivotic, Ljubomir and Golubović, Slađana and Radmanović, Svjetlana and Belić, Milivoj and Đorđević, Aleksandar",
year = "2017",
abstract = "Land degradation neutrality (LDN) is defined as a state whereby the amount and quality of land
resources necessary to support ecosystem functions and services and enhance food security remain stable or increase within specified temporal and spatial scales. This concept is a part of sustainable development goal 15 of the UN Agenda for Sustainable Development. Target 15.3 aims to combat desertification, restore degraded land and soil, including land affected by desertification, drought and floods, and strive to achieve a land degradation-neutral world by 2030. The achievement of this target is measured through indicator called “Proportion of land that is degraded over total land area”. United Nations Convention to Combat Desertification (UNCCD) endorsed SDG target 15.3 and the concept of land degradation neutrality as a strong vehicle for the implementation of the Convention. Countries are invited to formulate voluntary targets to achieve LDN. UNCCD provide guidance for formulating national voluntary targets and facilitate utilization of the UNCCD indicator framework. Republic of Serbia has ratified Convention in 2007 and actively works on LDN target setting process. This paper aims to present: (a) the basic principles of LDN concept, (b) global datasets provided by UNCCD, (c) SWOT analysis for the country, and (d) to discuss possible national datasets and further activities related to LDN.
Indicator “Proportion of land that is degraded over total land area” is measured by means of three subindicators: land cover, land productivity and soil organic carbon. This indicator framework could be broaden with national indicators by decision of the country. Country has been provided by global data on land cover from European Space Agency (ESA). Land productivity dynamics (LPD) dataset was prepared by Joint Research Centre of the European Commission, while soil organic carbon (SOC) dataset was provided by ISRIC. Watershed boundaries are provided from FAO GAUL network. Net area change as a result of comparison between two periods for land covers change and SOC, while LPD is obtained as a trend for the 15 years period. ESA land cover data are given for the two epochs, around 2000 and 2010. These data indicate the loss of 3,800 ha of forests and their conversion to croplands or shrubs. National datasets on land cover exist but their utilization is constrained with the necessity to have dataset for two period of time and to have regular acquisition of future data which are necessary for further analysis and monitoring.
Land productivity dynamics data indicated that 5% of the Serbian territory has negative trends in land productivity for the period 1998-2013. There are no national data on LPD obtained according to LDN concept. Soil organic carbon for the country indicates average content of 82.2 t/ha. National data on SOC stocks exist in the databases of relevant institutions but the problems in their utilization are related to the fact that they are sometimes very old, rarely geo-referenced, and obtained by various analytical and terrain procedures. Hence, global data on SOC stocks do not present real country situation, while national SOC stocks data should be systematized to be confident. Indicator analysis at watershed level has recognized the watersheds of Great Morava, Tisa, Sava 3 and South Morava and Nisava rivers, as four watersheds which present 50% of degraded areas according to the proposed methodology. These watersheds should be prone to detailed analysis of around 20 potential hotspots are found in the country. LDN baseline is not yet decided on a country level. Global land cover and land productivity dynamics data will be used until we obtain national data for these indicators. SOC national data should be systematized and used instead of global data. Further activities in LDN target setting process are related to the establishment of LDN baseline, analysis of land degradation trends and drivers, and suggestion of possible national voluntary targets and associated measures at the country, local and/or watershed level. The inclusion of national indicators should be further discussed. LDN concept should be strongly lead by the Government of Republic of Serbia. Hence, Serbian UNCCD NAP document should be finalized, adopted by the Government and LDN embedded into the NAP.",
publisher = "Srpsko društvo za proučavanje zemljišta",
journal = "2nd International and 14th National Congress of Soil Science Society of Serbia "Solutions and Projections for Sustainable Soil Management", Novi Sad, Serbia",
title = "Land degradation neutrality in Serbia",
pages = "92-80",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6751"
}
Zivotic, L., Golubović, S., Radmanović, S., Belić, M.,& Đorđević, A.. (2017). Land degradation neutrality in Serbia. in 2nd International and 14th National Congress of Soil Science Society of Serbia "Solutions and Projections for Sustainable Soil Management", Novi Sad, Serbia
Srpsko društvo za proučavanje zemljišta., 80-92.
https://hdl.handle.net/21.15107/rcub_agrospace_6751
Zivotic L, Golubović S, Radmanović S, Belić M, Đorđević A. Land degradation neutrality in Serbia. in 2nd International and 14th National Congress of Soil Science Society of Serbia "Solutions and Projections for Sustainable Soil Management", Novi Sad, Serbia. 2017;:80-92.
https://hdl.handle.net/21.15107/rcub_agrospace_6751 .
Zivotic, Ljubomir, Golubović, Slađana, Radmanović, Svjetlana, Belić, Milivoj, Đorđević, Aleksandar, "Land degradation neutrality in Serbia" in 2nd International and 14th National Congress of Soil Science Society of Serbia "Solutions and Projections for Sustainable Soil Management", Novi Sad, Serbia (2017):80-92,
https://hdl.handle.net/21.15107/rcub_agrospace_6751 .