TY  - JOUR
AU  - Bezdan, Atila
AU  - Bezdan, Jovana
AU  - Marković, Monika
AU  - Mirčetić, Dejan
AU  - Baumgertel, Aleksandar
AU  - Salvai, Andrea
AU  - Blagojević, Boško
PY  - 2025
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1538
AB  - Waterlogging disasters are one of the most severe and widespread agricultural meteorological disasters. They affect about 15% of land surface globally, causing a significant reduction in crop growth and yields. This paper presents an objective methodology for assessing waterlogging risk, primarily in non-urban, predominantly agricultural areas. The waterlogging risk was assessed by evaluating vulnerability and hazard based on key environmental, anthropogenic, and climatic factors. The weights of factors affecting the waterlogging vulnerability were determined using the entropy weight method (EWM), assuring the objectivity of the overall evaluation results. The obtained waterlogging risk map was validated by comparing it with observed and detected waterlogged sites using Sentinel-2 imagery and Random Forest classification. The key novelties of this study are the use of the entropy weight method to objectively determine the relative importance of factors influencing waterlogging vulnerability, and a two-step validation process which includes field-based comparison and remote sensing validation. The presented methodology was demonstrated in the Vojvodina region, Serbia. The following waterlogging vulnerability factors were used: soil properties, geomorphology, surface depressions, average phreatic water table depth, and land cover. The EWM shows that surface depressions and soil properties have the most significant influence on waterlogging vulnerability. The highest waterlogging hazard classes occur in about 31% of the analyzed territory. The waterlogging hazard was estimated based on water balance for the non-vegetation season and maximum daily precipitation in spring, both modeled using the Generalize Extreme Value distribution function. The highest waterlogging hazard classes occur in about 31% of the analyzed territory. The final risk map shows that the high waterlogging risk occurs in about 11% of the territory. Those are mainly areas in the central, eastern, and southeastern parts of the Vojvodina region, usually along the main watercourses. High agreement between the detected waterlogged areas and the produced waterlogging risk map was achieved, validating the proposed methodology. The presented waterlogging risk assessment methodology is valuable for planning and policy-making for various water management and environmental activities. Although it is demonstrated in Vojvodina, by selecting the appropriate factors of vulnerability and hazard, it can be applied to any other region.
T2  - CATENA
T1  - An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning
SP  - 108618
VL  - 249
DO  - 10.1016/j.catena.2024.108618
ER  - 

@article{
author = "Bezdan, Atila and Bezdan, Jovana and Marković, Monika and Mirčetić, Dejan and Baumgertel, Aleksandar and Salvai, Andrea and Blagojević, Boško",
year = "2025",
abstract = "Waterlogging disasters are one of the most severe and widespread agricultural meteorological disasters. They affect about 15% of land surface globally, causing a significant reduction in crop growth and yields. This paper presents an objective methodology for assessing waterlogging risk, primarily in non-urban, predominantly agricultural areas. The waterlogging risk was assessed by evaluating vulnerability and hazard based on key environmental, anthropogenic, and climatic factors. The weights of factors affecting the waterlogging vulnerability were determined using the entropy weight method (EWM), assuring the objectivity of the overall evaluation results. The obtained waterlogging risk map was validated by comparing it with observed and detected waterlogged sites using Sentinel-2 imagery and Random Forest classification. The key novelties of this study are the use of the entropy weight method to objectively determine the relative importance of factors influencing waterlogging vulnerability, and a two-step validation process which includes field-based comparison and remote sensing validation. The presented methodology was demonstrated in the Vojvodina region, Serbia. The following waterlogging vulnerability factors were used: soil properties, geomorphology, surface depressions, average phreatic water table depth, and land cover. The EWM shows that surface depressions and soil properties have the most significant influence on waterlogging vulnerability. The highest waterlogging hazard classes occur in about 31% of the analyzed territory. The waterlogging hazard was estimated based on water balance for the non-vegetation season and maximum daily precipitation in spring, both modeled using the Generalize Extreme Value distribution function. The highest waterlogging hazard classes occur in about 31% of the analyzed territory. The final risk map shows that the high waterlogging risk occurs in about 11% of the territory. Those are mainly areas in the central, eastern, and southeastern parts of the Vojvodina region, usually along the main watercourses. High agreement between the detected waterlogged areas and the produced waterlogging risk map was achieved, validating the proposed methodology. The presented waterlogging risk assessment methodology is valuable for planning and policy-making for various water management and environmental activities. Although it is demonstrated in Vojvodina, by selecting the appropriate factors of vulnerability and hazard, it can be applied to any other region.",
journal = "CATENA",
title = "An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning",
pages = "108618",
volume = "249",
doi = "10.1016/j.catena.2024.108618"
}

Bezdan, A., Bezdan, J., Marković, M., Mirčetić, D., Baumgertel, A., Salvai, A.,& Blagojević, B.. (2025). An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning. in CATENA, 249, 108618.
https://doi.org/10.1016/j.catena.2024.108618

Bezdan A, Bezdan J, Marković M, Mirčetić D, Baumgertel A, Salvai A, Blagojević B. An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning. in CATENA. 2025;249:108618.
doi:10.1016/j.catena.2024.108618 .

Bezdan, Atila, Bezdan, Jovana, Marković, Monika, Mirčetić, Dejan, Baumgertel, Aleksandar, Salvai, Andrea, Blagojević, Boško, "An objective methodology for waterlogging risk assessment based on the entropy weighting method and machine learning" in CATENA, 249 (2025):108618,
https://doi.org/10.1016/j.catena.2024.108618 . .

TY  - JOUR
AU  - Bezdan, Atila
AU  - Bezdan, Jovana
AU  - Blagojević, Boško
AU  - Baumgertel, Aleksandar
AU  - Lazić, Irida
AU  - Tošić, Milica
AU  - Đurđević, Vladimir
PY  - 2024
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1458
AB  - One of the frequently used drought metrics in scientific research is the consecutive dry days (CDDs) because it effectively indicates short-term droughts important to ecosystems and agriculture. CDDs are expected to increase in many parts of the world in the future. In Serbia, both the frequency and severity of droughts have increased in recent decades, with most droughts being caused by a lack of precipitation during the warmer months of the year and an increase in evapotranspiration due to higher temperatures. In this study, the frequency and duration of extreme CDDs in the growing season in Serbia were analysed for the past (1950-2019) and the future (2020-2100) period. The Threshold Level Method over precipitation data series was used to analyse CDD events, where extreme CDDs are defined as at least 15 consecutive days without precipitation. In contrast to the original definition of the CDD as the maximum number of consecutive days with precipitation less than 1 mm, here we defined the threshold that is more suitable for agriculture because field crops can experience water stress after 15 days of no rainfall or irrigation. An approach for modelling the stochastic process of extreme CDDs based on the Zelenhasi & cacute;-Todorovi & cacute; (ZT) method was applied in this research. The ZT method was modified by selecting a different distribution function for modelling the durations of the longest CDD events, enabling a more reliable calculation of probabilities of occurrences. According to the results, future droughts in Serbia are likely to be more frequent and severe than those in the past. The duration of the longest CDDs in a growing season will be extended in the future, lasting up to 62 days with a 10-year return period and up to 94 days with a 100-year return period. Results indicate a worsening of drought conditions, especially in the eastern and northern parts of Serbia. The results can help decision-makers adapt agricultural strategies to climate change by providing information on the expected durations of extreme rainless periods in future growing seasons. Although the analysis was performed in Serbia, it can be applied to any other region.
T2  - International Journal of Climatology
T1  - Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia
EP  - 4141
IS  - 11
SP  - 4127
VL  - 44
DO  - 10.1002/joc.8573
UR  - conv_1804
ER  - 

@article{
author = "Bezdan, Atila and Bezdan, Jovana and Blagojević, Boško and Baumgertel, Aleksandar and Lazić, Irida and Tošić, Milica and Đurđević, Vladimir",
year = "2024",
abstract = "One of the frequently used drought metrics in scientific research is the consecutive dry days (CDDs) because it effectively indicates short-term droughts important to ecosystems and agriculture. CDDs are expected to increase in many parts of the world in the future. In Serbia, both the frequency and severity of droughts have increased in recent decades, with most droughts being caused by a lack of precipitation during the warmer months of the year and an increase in evapotranspiration due to higher temperatures. In this study, the frequency and duration of extreme CDDs in the growing season in Serbia were analysed for the past (1950-2019) and the future (2020-2100) period. The Threshold Level Method over precipitation data series was used to analyse CDD events, where extreme CDDs are defined as at least 15 consecutive days without precipitation. In contrast to the original definition of the CDD as the maximum number of consecutive days with precipitation less than 1 mm, here we defined the threshold that is more suitable for agriculture because field crops can experience water stress after 15 days of no rainfall or irrigation. An approach for modelling the stochastic process of extreme CDDs based on the Zelenhasi & cacute;-Todorovi & cacute; (ZT) method was applied in this research. The ZT method was modified by selecting a different distribution function for modelling the durations of the longest CDD events, enabling a more reliable calculation of probabilities of occurrences. According to the results, future droughts in Serbia are likely to be more frequent and severe than those in the past. The duration of the longest CDDs in a growing season will be extended in the future, lasting up to 62 days with a 10-year return period and up to 94 days with a 100-year return period. Results indicate a worsening of drought conditions, especially in the eastern and northern parts of Serbia. The results can help decision-makers adapt agricultural strategies to climate change by providing information on the expected durations of extreme rainless periods in future growing seasons. Although the analysis was performed in Serbia, it can be applied to any other region.",
journal = "International Journal of Climatology",
title = "Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia",
pages = "4141-4127",
number = "11",
volume = "44",
doi = "10.1002/joc.8573",
url = "conv_1804"
}

Bezdan, A., Bezdan, J., Blagojević, B., Baumgertel, A., Lazić, I., Tošić, M.,& Đurđević, V.. (2024). Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia. in International Journal of Climatology, 44(11), 4127-4141.
https://doi.org/10.1002/joc.8573
conv_1804

Bezdan A, Bezdan J, Blagojević B, Baumgertel A, Lazić I, Tošić M, Đurđević V. Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia. in International Journal of Climatology. 2024;44(11):4127-4141.
doi:10.1002/joc.8573
conv_1804 .

Bezdan, Atila, Bezdan, Jovana, Blagojević, Boško, Baumgertel, Aleksandar, Lazić, Irida, Tošić, Milica, Đurđević, Vladimir, "Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia" in International Journal of Climatology, 44, no. 11 (2024):4127-4141,
https://doi.org/10.1002/joc.8573 .,
conv_1804 .

TY  - JOUR
AU  - Baumgertel, Aleksandar
AU  - Lukić, Sara
AU  - Caković, Milica
AU  - Lazić, Irida
AU  - Tošić, Milica
AU  - Momirović, Natalija
AU  - Pandey, Shachi
AU  - Bezdan, Atila
AU  - Blagojević, Boško
AU  - Đurđević, Vladimir
PY  - 2024
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1495
AB  - Climate change has a potentially negative impact on the overall vitality of vegetation in both forested and agricultural areas. A comprehensive understanding of the interaction between climate and vegetation across various land cover types holds significant importance from multiple perspectives. This research examined the current state of vegetation trends and their interplay with climate parameters, specifically temperature and precipitation. Additionally, it aimed to provide insights into the anticipated changes in these climate parameters in the future, across the entire area of the Republic of Serbia. The vegetation was observed using the Normalized Difference Vegetation Index (NDVI) obtained from AVHRR/NOAA 11 satellite for the vegetation season (May-October) from 1981 to 2021, while the climate data records used the examination of the relationship between climate indicators and vegetation were monthly mean 2m temperature and precipitation obtained from the ERA5-Land (from April to October). The nonparametric Mann-Kendall test implemented with the Sen's slope estimator and the Pearson correlation coefficient (r) was utilized to identify trends (for the NDVI and climate variables) and the strength of the correlation, respectively. To obtain the information of temperature and precipitation change in future (from 2071 to 2100), the ensemble mean of the eight climate models, for vegetation period and summer season (June-July-August) from the EURO-CORDEX database was used. Results show relatively high NDVI values ( gt  0.5) over the entire area and the statistically significant (p  lt  0.005) positive NDVI trend increasing (up to 0.0006 year(-1) from the north (mainly agriculture cover) to the south (forest cover). In agricultural areas, a positive statistically significant correlation (r = 0.4-0.6, p  lt  0.005) indicates that the quality of vegetation cover in rainfed agriculture is directly dependent on the amount of precipitation, which serves as the sole source of moisture input. In contrast, the situation differs in forested areas where the correlation between NDVI and precipitation is often statistically not significant (p  gt  0.005) indicating that forests, because of their characteristics, are less dependent on the amount of precipitation. Regarding temperature, in agricultural areas, there is a positive correlation with NDVI, although it does not reach statistical significance. Conversely, in forested areas, a significant positive correlation is observed between NDVI and temperature which even positively contributes to the development of forest vegetation. In future, the recorded decline in precipitation (a substantial 22.72% drop) and the concurrent rise in temperature (up to 4.39(degrees)C) in vegetation period, until 2100 might impact the reduction of NDVI.
T2  - International Journal of Environmental Research
T1  - Spatio-Temporal Analysis of Vegetation Response to Climate Change, Case Study: Republic of Serbia
IS  - 2
VL  - 18
DO  - 10.1007/s41742-024-00571-z
UR  - conv_1767
ER  - 

@article{
author = "Baumgertel, Aleksandar and Lukić, Sara and Caković, Milica and Lazić, Irida and Tošić, Milica and Momirović, Natalija and Pandey, Shachi and Bezdan, Atila and Blagojević, Boško and Đurđević, Vladimir",
year = "2024",
abstract = "Climate change has a potentially negative impact on the overall vitality of vegetation in both forested and agricultural areas. A comprehensive understanding of the interaction between climate and vegetation across various land cover types holds significant importance from multiple perspectives. This research examined the current state of vegetation trends and their interplay with climate parameters, specifically temperature and precipitation. Additionally, it aimed to provide insights into the anticipated changes in these climate parameters in the future, across the entire area of the Republic of Serbia. The vegetation was observed using the Normalized Difference Vegetation Index (NDVI) obtained from AVHRR/NOAA 11 satellite for the vegetation season (May-October) from 1981 to 2021, while the climate data records used the examination of the relationship between climate indicators and vegetation were monthly mean 2m temperature and precipitation obtained from the ERA5-Land (from April to October). The nonparametric Mann-Kendall test implemented with the Sen's slope estimator and the Pearson correlation coefficient (r) was utilized to identify trends (for the NDVI and climate variables) and the strength of the correlation, respectively. To obtain the information of temperature and precipitation change in future (from 2071 to 2100), the ensemble mean of the eight climate models, for vegetation period and summer season (June-July-August) from the EURO-CORDEX database was used. Results show relatively high NDVI values ( gt  0.5) over the entire area and the statistically significant (p  lt  0.005) positive NDVI trend increasing (up to 0.0006 year(-1) from the north (mainly agriculture cover) to the south (forest cover). In agricultural areas, a positive statistically significant correlation (r = 0.4-0.6, p  lt  0.005) indicates that the quality of vegetation cover in rainfed agriculture is directly dependent on the amount of precipitation, which serves as the sole source of moisture input. In contrast, the situation differs in forested areas where the correlation between NDVI and precipitation is often statistically not significant (p  gt  0.005) indicating that forests, because of their characteristics, are less dependent on the amount of precipitation. Regarding temperature, in agricultural areas, there is a positive correlation with NDVI, although it does not reach statistical significance. Conversely, in forested areas, a significant positive correlation is observed between NDVI and temperature which even positively contributes to the development of forest vegetation. In future, the recorded decline in precipitation (a substantial 22.72% drop) and the concurrent rise in temperature (up to 4.39(degrees)C) in vegetation period, until 2100 might impact the reduction of NDVI.",
journal = "International Journal of Environmental Research",
title = "Spatio-Temporal Analysis of Vegetation Response to Climate Change, Case Study: Republic of Serbia",
number = "2",
volume = "18",
doi = "10.1007/s41742-024-00571-z",
url = "conv_1767"
}

Baumgertel, A., Lukić, S., Caković, M., Lazić, I., Tošić, M., Momirović, N., Pandey, S., Bezdan, A., Blagojević, B.,& Đurđević, V.. (2024). Spatio-Temporal Analysis of Vegetation Response to Climate Change, Case Study: Republic of Serbia. in International Journal of Environmental Research, 18(2).
https://doi.org/10.1007/s41742-024-00571-z
conv_1767

Baumgertel A, Lukić S, Caković M, Lazić I, Tošić M, Momirović N, Pandey S, Bezdan A, Blagojević B, Đurđević V. Spatio-Temporal Analysis of Vegetation Response to Climate Change, Case Study: Republic of Serbia. in International Journal of Environmental Research. 2024;18(2).
doi:10.1007/s41742-024-00571-z
conv_1767 .

Baumgertel, Aleksandar, Lukić, Sara, Caković, Milica, Lazić, Irida, Tošić, Milica, Momirović, Natalija, Pandey, Shachi, Bezdan, Atila, Blagojević, Boško, Đurđević, Vladimir, "Spatio-Temporal Analysis of Vegetation Response to Climate Change, Case Study: Republic of Serbia" in International Journal of Environmental Research, 18, no. 2 (2024),
https://doi.org/10.1007/s41742-024-00571-z .,
conv_1767 .

TY  - JOUR
AU  - Savić, Radovan
AU  - Stajić, Milica
AU  - Blagojević, Boško
AU  - Bezdan, Atila
AU  - Vranesević, Milica
AU  - Nikolić-Jokanović, Vesna
AU  - Baumgertel, Aleksandar
AU  - Bubalo Kovacić, Marina
AU  - Horvatinec, Jelena
AU  - Ondrasek, Gabrijel
PY  - 2022
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1281
AB  - Conserving clean and safe freshwater is a global challenge, with nitrogen (N) and phosphorus (P) as frequent limiting factors affecting water quality due to eutrophication. This paper provides a critical overview of the spatiotemporal variability in both nutrient concentrations and their total mass ratio (TN:TP) in the canal network of the Hydro system Danube-Tisza-Danube at 21 measuring locations monitored by the Environmental Protection Agency of the Republic of Serbia over a length of almost 1000 km, collected once a month during the last decade. A spatiotemporal variation in nutrient concentrations in the tested surface water samples was confirmed by correlations and cluster analyses. The highest TN concentrations were found in winter and early spring (non-vegetation season), and the highest TP concentrations in the middle of the year (vegetation season). The TN:TP mass ratio as an indicator of the eutrophication pointed out N and P co-limitation (TN:TP 8-24) in 64% of samples, N limitation (TN:TP  lt  8) was detected in 27% and P limitation (TN:TP  gt  24) in the remaining 9% of water samples. Such observations indicate slow-flowing, lowland water courses exposed to the effects of non-point and point contamination sources as nutrient runoff from the surrounding farmlands and/or urban and industrial zones, but further investigation is needed for clarification. These results are an important starting point for reducing N and P runoff loads and controlling source pollution to improve water quality and underpin recovery from eutrophication in the studied watershed.
T2  - Agriculture-Basel
T1  - Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube-Tisza-Danube
IS  - 7
VL  - 12
DO  - 10.3390/agriculture12070935
UR  - conv_1650
ER  - 

@article{
author = "Savić, Radovan and Stajić, Milica and Blagojević, Boško and Bezdan, Atila and Vranesević, Milica and Nikolić-Jokanović, Vesna and Baumgertel, Aleksandar and Bubalo Kovacić, Marina and Horvatinec, Jelena and Ondrasek, Gabrijel",
year = "2022",
abstract = "Conserving clean and safe freshwater is a global challenge, with nitrogen (N) and phosphorus (P) as frequent limiting factors affecting water quality due to eutrophication. This paper provides a critical overview of the spatiotemporal variability in both nutrient concentrations and their total mass ratio (TN:TP) in the canal network of the Hydro system Danube-Tisza-Danube at 21 measuring locations monitored by the Environmental Protection Agency of the Republic of Serbia over a length of almost 1000 km, collected once a month during the last decade. A spatiotemporal variation in nutrient concentrations in the tested surface water samples was confirmed by correlations and cluster analyses. The highest TN concentrations were found in winter and early spring (non-vegetation season), and the highest TP concentrations in the middle of the year (vegetation season). The TN:TP mass ratio as an indicator of the eutrophication pointed out N and P co-limitation (TN:TP 8-24) in 64% of samples, N limitation (TN:TP  lt  8) was detected in 27% and P limitation (TN:TP  gt  24) in the remaining 9% of water samples. Such observations indicate slow-flowing, lowland water courses exposed to the effects of non-point and point contamination sources as nutrient runoff from the surrounding farmlands and/or urban and industrial zones, but further investigation is needed for clarification. These results are an important starting point for reducing N and P runoff loads and controlling source pollution to improve water quality and underpin recovery from eutrophication in the studied watershed.",
journal = "Agriculture-Basel",
title = "Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube-Tisza-Danube",
number = "7",
volume = "12",
doi = "10.3390/agriculture12070935",
url = "conv_1650"
}

Savić, R., Stajić, M., Blagojević, B., Bezdan, A., Vranesević, M., Nikolić-Jokanović, V., Baumgertel, A., Bubalo Kovacić, M., Horvatinec, J.,& Ondrasek, G.. (2022). Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube-Tisza-Danube. in Agriculture-Basel, 12(7).
https://doi.org/10.3390/agriculture12070935
conv_1650

Savić R, Stajić M, Blagojević B, Bezdan A, Vranesević M, Nikolić-Jokanović V, Baumgertel A, Bubalo Kovacić M, Horvatinec J, Ondrasek G. Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube-Tisza-Danube. in Agriculture-Basel. 2022;12(7).
doi:10.3390/agriculture12070935
conv_1650 .

Savić, Radovan, Stajić, Milica, Blagojević, Boško, Bezdan, Atila, Vranesević, Milica, Nikolić-Jokanović, Vesna, Baumgertel, Aleksandar, Bubalo Kovacić, Marina, Horvatinec, Jelena, Ondrasek, Gabrijel, "Nitrogen and Phosphorus Concentrations and Their Ratios as Indicators of Water Quality and Eutrophication of the Hydro-System Danube-Tisza-Danube" in Agriculture-Basel, 12, no. 7 (2022),
https://doi.org/10.3390/agriculture12070935 .,
conv_1650 .

TY  - JOUR
AU  - Gregory, Valatin
AU  - Jens, Abildtrup
AU  - Cristian, Accastello
AU  - Abdel Rahman, Al-Tawaha
AU  - Maria-Beatrice, Andreucci
AU  - Atanasova, Silvia
AU  - Avdibegović, Mersudin
AU  - Baksić, Nikolina
AU  - Kazimierz, Banasik
AU  - Jose, Barquin
AU  - Barstad, Johan
AU  - Viera, Bastakova
AU  - Becirović, Dzenan
AU  - Santiago, Begueria
AU  - Uldis, Bethers
AU  - Bihunova, Maria
AU  - Blagojević, Boško
AU  - Matthias, Bösch
AU  - Thomas, Bournaris
AU  - Yiying, Cao
AU  - Claudia, Carvalho-Santos
AU  - Chikalanov, Alexander
AU  - Maria, Cunha e Sá
AU  - Krzysztof, Czyżyk
AU  - Hamed, Daly
AU  - Helen, Davies
AU  - Del Campo, Antonio
AU  - de Groot, Rudolf
AU  - De Vreese, Rik
AU  - Tomáš, Dostál
AU  - Abdelmohssin, El Mokaddem
AU  - Leena, Finér
AU  - Rhys, Evans
AU  - Julien, Fiquepron
AU  - Frac, Magdalena
AU  - Martyn, Futter
AU  - Serge, Garcia
AU  - Paola, Gatto
AU  - Davide, Geneletti
AU  - Gezik, Veronika
AU  - Carlo, Giupponi
AU  - María, González-Sanchís
AU  - Fernando, Gordillo
AU  - Elena, Gorriz
AU  - Yulia, Grigorova
AU  - Katrin, Heinsoo
AU  - Eduard, Hochbichler
AU  - Lars, Högbom
AU  - Mike, Image
AU  - Jette, Jacobsen
AU  - Anže, Japelj
AU  - Jelić, Sreten
AU  - Jürgen, Junk
AU  - Csaba, Juhasz
AU  - Ifigenia, Kagalou
AU  - Mary, Kelly-Quinn
AU  - Klamerus-Iwan, Anna
AU  - Kluvankova, Tatiana
AU  - Roland, Koeck
AU  - Konovska, Iskra
AU  - Ostoić, Silvija
AU  - Krc, Janez
AU  - Vasyl, Lavnyy
AU  - Leonardi, Alessandro
AU  - Zane, Libiete
AU  - Declan, Little
AU  - Antonio, Lo Porto
AU  - Athanasios, Loukas
AU  - Mariyana, Lyubenova
AU  - Marić, Bruno
AU  - Javier, Martínez-López
AU  - Inazio, Martinez
AU  - Alexandru, Maxim
AU  - Marek, Metslaid
AU  - Alison, Melvin
AU  - Mihai, Costică
AU  - Mincev, Ivan
AU  - Zymantas, Morkvenas
AU  - Nevenić, Radovan
AU  - Tom, Nisbet
AU  - Daire, O'hUallachain
AU  - Roland, Olschewski
AU  - Östberg, Johan
AU  - Oszust, Karolina
AU  - Paola, Ovando
AU  - Paletto, Alessandro
AU  - Taras, Parpan
AU  - Davide, Pettenella
AU  - Malovrh, Špela
AU  - Planinšek, Špela
AU  - Radka, Podlipná
AU  - Posavec, Stjepan
AU  - Potočki, Kristina
AU  - Prokofieva, Irina
AU  - Paula, Quinteiro
AU  - Laszlo, Radocz
AU  - Ristić, Ratko
AU  - Nicolas, Robert
AU  - Benedetto, Rugani
AU  - Sabanović, Jelena
AU  - Sarvasova, Zuzana
AU  - Savoska, Snežana
AU  - Patrick, Schleppi
AU  - Gebhard, Schueler
AU  - Margaret, Shannon
AU  - Martyn, Silgram
AU  - Srdjević, Bojan
AU  - Gavril, Stefan
AU  - Stijović, Aleksandar
AU  - Niels, Strange
AU  - Sirkka, Tattari
AU  - Teofilovski, Aco
AU  - Mette, Termansen
AU  - Bo, Thorsen
AU  - Toth, Attila
AU  - Ivonne, Trebs
AU  - Tmušić, Novica
AU  - Lampros, Vasiliades
AU  - Vedel, Suzanne
AU  - Ventrubová, Kateřina
AU  - Vuletić, Dijana
AU  - Georg, Winkel
AU  - Richard, Yao
AU  - Sarah, Young
AU  - Rasoul, Yousefpour
AU  - Lyudmyla, Zahvoyska
AU  - Daowei, Zhang
AU  - Jianhua, Zhou
AU  - Žižková, Eva
PY  - 2017
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/824
AB  - The EU Water Framework Directive aims to ensure restoration of Europe’s water bodies to “good ecological status” by 2027. Many Member States will struggle to meet this target, with around half of EU river catchments currently reporting below standard water quality. Diffuse pollution from agriculture represents a major pressure, affecting over 90% of river basins. Accumulating evidence shows that recent improvements to agricultural practices are benefiting water quality but in many cases will be insufficient to achieve WFD objectives. There is growing support for land use change to help bridge the gap, with a particular focus on targeted tree planting to intercept and reduce the delivery of diffuse pollutants to water. This form of integrated catchment management offers multiple benefits to society but a significant cost to landowners and managers.
  New economic instruments, in combination with spatial targeting, need to be developed to ensure cost effective solutions – including tree planting for water benefits - are realised. Payments for Ecosystem Services (PES) are flexible, incentive-based mechanisms that could play an important role in promoting land use change to deliver water quality targets. The PESFOR-W COST Action will consolidate learning from existing woodlands for water PES schemes in Europe and help standardize approaches to evaluating the environmental effectiveness and cost-effectiveness of woodland measures. It will also create a European network through which PES schemes can be facilitated, extended and improved, for example by incorporating other ecosystem services linking with aims of the wider forests-carbon policy nexus.
T2  - Research Ideas and Outcomes
T1  - PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services
EP  - 28
EP  - 
SP  - 1
VL  - 3
DO  - 10.3897/rio.3.e13828
UR  - conv_2330
ER  - 

@article{
author = "Gregory, Valatin and Jens, Abildtrup and Cristian, Accastello and Abdel Rahman, Al-Tawaha and Maria-Beatrice, Andreucci and Atanasova, Silvia and Avdibegović, Mersudin and Baksić, Nikolina and Kazimierz, Banasik and Jose, Barquin and Barstad, Johan and Viera, Bastakova and Becirović, Dzenan and Santiago, Begueria and Uldis, Bethers and Bihunova, Maria and Blagojević, Boško and Matthias, Bösch and Thomas, Bournaris and Yiying, Cao and Claudia, Carvalho-Santos and Chikalanov, Alexander and Maria, Cunha e Sá and Krzysztof, Czyżyk and Hamed, Daly and Helen, Davies and Del Campo, Antonio and de Groot, Rudolf and De Vreese, Rik and Tomáš, Dostál and Abdelmohssin, El Mokaddem and Leena, Finér and Rhys, Evans and Julien, Fiquepron and Frac, Magdalena and Martyn, Futter and Serge, Garcia and Paola, Gatto and Davide, Geneletti and Gezik, Veronika and Carlo, Giupponi and María, González-Sanchís and Fernando, Gordillo and Elena, Gorriz and Yulia, Grigorova and Katrin, Heinsoo and Eduard, Hochbichler and Lars, Högbom and Mike, Image and Jette, Jacobsen and Anže, Japelj and Jelić, Sreten and Jürgen, Junk and Csaba, Juhasz and Ifigenia, Kagalou and Mary, Kelly-Quinn and Klamerus-Iwan, Anna and Kluvankova, Tatiana and Roland, Koeck and Konovska, Iskra and Ostoić, Silvija and Krc, Janez and Vasyl, Lavnyy and Leonardi, Alessandro and Zane, Libiete and Declan, Little and Antonio, Lo Porto and Athanasios, Loukas and Mariyana, Lyubenova and Marić, Bruno and Javier, Martínez-López and Inazio, Martinez and Alexandru, Maxim and Marek, Metslaid and Alison, Melvin and Mihai, Costică and Mincev, Ivan and Zymantas, Morkvenas and Nevenić, Radovan and Tom, Nisbet and Daire, O'hUallachain and Roland, Olschewski and Östberg, Johan and Oszust, Karolina and Paola, Ovando and Paletto, Alessandro and Taras, Parpan and Davide, Pettenella and Malovrh, Špela and Planinšek, Špela and Radka, Podlipná and Posavec, Stjepan and Potočki, Kristina and Prokofieva, Irina and Paula, Quinteiro and Laszlo, Radocz and Ristić, Ratko and Nicolas, Robert and Benedetto, Rugani and Sabanović, Jelena and Sarvasova, Zuzana and Savoska, Snežana and Patrick, Schleppi and Gebhard, Schueler and Margaret, Shannon and Martyn, Silgram and Srdjević, Bojan and Gavril, Stefan and Stijović, Aleksandar and Niels, Strange and Sirkka, Tattari and Teofilovski, Aco and Mette, Termansen and Bo, Thorsen and Toth, Attila and Ivonne, Trebs and Tmušić, Novica and Lampros, Vasiliades and Vedel, Suzanne and Ventrubová, Kateřina and Vuletić, Dijana and Georg, Winkel and Richard, Yao and Sarah, Young and Rasoul, Yousefpour and Lyudmyla, Zahvoyska and Daowei, Zhang and Jianhua, Zhou and Žižková, Eva",
year = "2017",
abstract = "The EU Water Framework Directive aims to ensure restoration of Europe’s water bodies to “good ecological status” by 2027. Many Member States will struggle to meet this target, with around half of EU river catchments currently reporting below standard water quality. Diffuse pollution from agriculture represents a major pressure, affecting over 90% of river basins. Accumulating evidence shows that recent improvements to agricultural practices are benefiting water quality but in many cases will be insufficient to achieve WFD objectives. There is growing support for land use change to help bridge the gap, with a particular focus on targeted tree planting to intercept and reduce the delivery of diffuse pollutants to water. This form of integrated catchment management offers multiple benefits to society but a significant cost to landowners and managers.
  New economic instruments, in combination with spatial targeting, need to be developed to ensure cost effective solutions – including tree planting for water benefits - are realised. Payments for Ecosystem Services (PES) are flexible, incentive-based mechanisms that could play an important role in promoting land use change to deliver water quality targets. The PESFOR-W COST Action will consolidate learning from existing woodlands for water PES schemes in Europe and help standardize approaches to evaluating the environmental effectiveness and cost-effectiveness of woodland measures. It will also create a European network through which PES schemes can be facilitated, extended and improved, for example by incorporating other ecosystem services linking with aims of the wider forests-carbon policy nexus.",
journal = "Research Ideas and Outcomes",
title = "PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services",
pages = "28--1",
volume = "3",
doi = "10.3897/rio.3.e13828",
url = "conv_2330"
}

Gregory, V., Jens, A., Cristian, A., Abdel Rahman, A., Maria-Beatrice, A., Atanasova, S., Avdibegović, M., Baksić, N., Kazimierz, B., Jose, B., Barstad, J., Viera, B., Becirović, D., Santiago, B., Uldis, B., Bihunova, M., Blagojević, B., Matthias, B., Thomas, B., Yiying, C., Claudia, C., Chikalanov, A., Maria, C. e. S., Krzysztof, C., Hamed, D., Helen, D., Del Campo, A., de Groot, R., De Vreese, R., Tomáš, D., Abdelmohssin, E. M., Leena, F., Rhys, E., Julien, F., Frac, M., Martyn, F., Serge, G., Paola, G., Davide, G., Gezik, V., Carlo, G., María, G., Fernando, G., Elena, G., Yulia, G., Katrin, H., Eduard, H., Lars, H., Mike, I., Jette, J., Anže, J., Jelić, S., Jürgen, J., Csaba, J., Ifigenia, K., Mary, K., Klamerus-Iwan, A., Kluvankova, T., Roland, K., Konovska, I., Ostoić, S., Krc, J., Vasyl, L., Leonardi, A., Zane, L., Declan, L., Antonio, L. P., Athanasios, L., Mariyana, L., Marić, B., Javier, M., Inazio, M., Alexandru, M., Marek, M., Alison, M., Mihai, C., Mincev, I., Zymantas, M., Nevenić, R., Tom, N., Daire, O., Roland, O., Östberg, J., Oszust, K., Paola, O., Paletto, A., Taras, P., Davide, P., Malovrh, Š., Planinšek, Š., Radka, P., Posavec, S., Potočki, K., Prokofieva, I., Paula, Q., Laszlo, R., Ristić, R., Nicolas, R., Benedetto, R., Sabanović, J., Sarvasova, Z., Savoska, S., Patrick, S., Gebhard, S., Margaret, S., Martyn, S., Srdjević, B., Gavril, S., Stijović, A., Niels, S., Sirkka, T., Teofilovski, A., Mette, T., Bo, T., Toth, A., Ivonne, T., Tmušić, N., Lampros, V., Vedel, S., Ventrubová, K., Vuletić, D., Georg, W., Richard, Y., Sarah, Y., Rasoul, Y., Lyudmyla, Z., Daowei, Z., Jianhua, Z.,& Žižková, E.. (2017). PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services. in Research Ideas and Outcomes, 3, 1-28.
https://doi.org/10.3897/rio.3.e13828
conv_2330

Gregory V, Jens A, Cristian A, Abdel Rahman A, Maria-Beatrice A, Atanasova S, Avdibegović M, Baksić N, Kazimierz B, Jose B, Barstad J, Viera B, Becirović D, Santiago B, Uldis B, Bihunova M, Blagojević B, Matthias B, Thomas B, Yiying C, Claudia C, Chikalanov A, Maria CES, Krzysztof C, Hamed D, Helen D, Del Campo A, de Groot R, De Vreese R, Tomáš D, Abdelmohssin EM, Leena F, Rhys E, Julien F, Frac M, Martyn F, Serge G, Paola G, Davide G, Gezik V, Carlo G, María G, Fernando G, Elena G, Yulia G, Katrin H, Eduard H, Lars H, Mike I, Jette J, Anže J, Jelić S, Jürgen J, Csaba J, Ifigenia K, Mary K, Klamerus-Iwan A, Kluvankova T, Roland K, Konovska I, Ostoić S, Krc J, Vasyl L, Leonardi A, Zane L, Declan L, Antonio LP, Athanasios L, Mariyana L, Marić B, Javier M, Inazio M, Alexandru M, Marek M, Alison M, Mihai C, Mincev I, Zymantas M, Nevenić R, Tom N, Daire O, Roland O, Östberg J, Oszust K, Paola O, Paletto A, Taras P, Davide P, Malovrh Š, Planinšek Š, Radka P, Posavec S, Potočki K, Prokofieva I, Paula Q, Laszlo R, Ristić R, Nicolas R, Benedetto R, Sabanović J, Sarvasova Z, Savoska S, Patrick S, Gebhard S, Margaret S, Martyn S, Srdjević B, Gavril S, Stijović A, Niels S, Sirkka T, Teofilovski A, Mette T, Bo T, Toth A, Ivonne T, Tmušić N, Lampros V, Vedel S, Ventrubová K, Vuletić D, Georg W, Richard Y, Sarah Y, Rasoul Y, Lyudmyla Z, Daowei Z, Jianhua Z, Žižková E. PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services. in Research Ideas and Outcomes. 2017;3:1-28.
doi:10.3897/rio.3.e13828
conv_2330 .

Gregory, Valatin, Jens, Abildtrup, Cristian, Accastello, Abdel Rahman, Al-Tawaha, Maria-Beatrice, Andreucci, Atanasova, Silvia, Avdibegović, Mersudin, Baksić, Nikolina, Kazimierz, Banasik, Jose, Barquin, Barstad, Johan, Viera, Bastakova, Becirović, Dzenan, Santiago, Begueria, Uldis, Bethers, Bihunova, Maria, Blagojević, Boško, Matthias, Bösch, Thomas, Bournaris, Yiying, Cao, Claudia, Carvalho-Santos, Chikalanov, Alexander, Maria, Cunha e Sá, Krzysztof, Czyżyk, Hamed, Daly, Helen, Davies, Del Campo, Antonio, de Groot, Rudolf, De Vreese, Rik, Tomáš, Dostál, Abdelmohssin, El Mokaddem, Leena, Finér, Rhys, Evans, Julien, Fiquepron, Frac, Magdalena, Martyn, Futter, Serge, Garcia, Paola, Gatto, Davide, Geneletti, Gezik, Veronika, Carlo, Giupponi, María, González-Sanchís, Fernando, Gordillo, Elena, Gorriz, Yulia, Grigorova, Katrin, Heinsoo, Eduard, Hochbichler, Lars, Högbom, Mike, Image, Jette, Jacobsen, Anže, Japelj, Jelić, Sreten, Jürgen, Junk, Csaba, Juhasz, Ifigenia, Kagalou, Mary, Kelly-Quinn, Klamerus-Iwan, Anna, Kluvankova, Tatiana, Roland, Koeck, Konovska, Iskra, Ostoić, Silvija, Krc, Janez, Vasyl, Lavnyy, Leonardi, Alessandro, Zane, Libiete, Declan, Little, Antonio, Lo Porto, Athanasios, Loukas, Mariyana, Lyubenova, Marić, Bruno, Javier, Martínez-López, Inazio, Martinez, Alexandru, Maxim, Marek, Metslaid, Alison, Melvin, Mihai, Costică, Mincev, Ivan, Zymantas, Morkvenas, Nevenić, Radovan, Tom, Nisbet, Daire, O'hUallachain, Roland, Olschewski, Östberg, Johan, Oszust, Karolina, Paola, Ovando, Paletto, Alessandro, Taras, Parpan, Davide, Pettenella, Malovrh, Špela, Planinšek, Špela, Radka, Podlipná, Posavec, Stjepan, Potočki, Kristina, Prokofieva, Irina, Paula, Quinteiro, Laszlo, Radocz, Ristić, Ratko, Nicolas, Robert, Benedetto, Rugani, Sabanović, Jelena, Sarvasova, Zuzana, Savoska, Snežana, Patrick, Schleppi, Gebhard, Schueler, Margaret, Shannon, Martyn, Silgram, Srdjević, Bojan, Gavril, Stefan, Stijović, Aleksandar, Niels, Strange, Sirkka, Tattari, Teofilovski, Aco, Mette, Termansen, Bo, Thorsen, Toth, Attila, Ivonne, Trebs, Tmušić, Novica, Lampros, Vasiliades, Vedel, Suzanne, Ventrubová, Kateřina, Vuletić, Dijana, Georg, Winkel, Richard, Yao, Sarah, Young, Rasoul, Yousefpour, Lyudmyla, Zahvoyska, Daowei, Zhang, Jianhua, Zhou, Žižková, Eva, "PESFOR-W: Improving the design and environmental effectiveness of woodlands for water Payments for Ecosystem Services" in Research Ideas and Outcomes, 3 (2017):1-28,
https://doi.org/10.3897/rio.3.e13828 .,
conv_2330 .