TY  - JOUR
AU  - Đikanović, Vesna
AU  - Skorić, Stefan
AU  - Spasić, Slađana
AU  - Naunović, Zorana
AU  - Lenhardt, Mirjana
PY  - 2018
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1159
AB  - Metal content was evaluated in the sediment, macrophytes and fish in the Medjuvrtje reservoir (Western Serbia). Concentrations of 16 trace elements (Ag; Al; As; B; Ba; Cd; Co; Cr; Cu; Fe; Li; Mn; Ni; Pb; Sr; Zn) were analysed in the sediment, macrophytes and fish of an aquatic ecosystem. Five macrophyte species and three fish tissues (liver, muscle, gills) from five fish species (freshwater bream, common nase, Prussian carp, chub, wels catfish) were sampled and the metal content was analysed with ICP-OES. The sediment concentrations of Cu, Cd, and Zn exceeded the Canadian sediment quality guidelines while concentrations of Cr and Ni were above the Netherlands' target values. Bioaccumulation factors (BSAF) were calculated for analysed macrophytes and fish tissue. The BSAF had higher values for macrophytes for all investigated elements except for Cu and Zn; Cu had a higher value in the liver of the freshwater bream (0.823) and Zn had a higher value in the liver of freshwater bream (0.914) and chub (0.834) as well as in gills of Prussian carp (2.58) and chub (1.26). Potamogeton pectinatus, Ceratophylum demersum and the root of Phragmites communis showed higher accumulation of elements than Trapa natans and Potamogeton fluitans and the body of P. communis. The highest BSAF values for Ba, Mn, Sr and Ni were recorded in the gills. Cd and Cu had the highest BSAF values in the liver. Results confirmed that particular macrophyte and fish species could be a good indicator of reservoir water and sediment pollution.
PB  - Elsevier Sci Ltd, Oxford
T2  - Environmental Pollution
T1  - Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool
EP  - 1174
SP  - 1167
VL  - 241
DO  - 10.1016/j.envpol.2018.06.054
ER  - 

@article{
author = "Đikanović, Vesna and Skorić, Stefan and Spasić, Slađana and Naunović, Zorana and Lenhardt, Mirjana",
year = "2018",
abstract = "Metal content was evaluated in the sediment, macrophytes and fish in the Medjuvrtje reservoir (Western Serbia). Concentrations of 16 trace elements (Ag; Al; As; B; Ba; Cd; Co; Cr; Cu; Fe; Li; Mn; Ni; Pb; Sr; Zn) were analysed in the sediment, macrophytes and fish of an aquatic ecosystem. Five macrophyte species and three fish tissues (liver, muscle, gills) from five fish species (freshwater bream, common nase, Prussian carp, chub, wels catfish) were sampled and the metal content was analysed with ICP-OES. The sediment concentrations of Cu, Cd, and Zn exceeded the Canadian sediment quality guidelines while concentrations of Cr and Ni were above the Netherlands' target values. Bioaccumulation factors (BSAF) were calculated for analysed macrophytes and fish tissue. The BSAF had higher values for macrophytes for all investigated elements except for Cu and Zn; Cu had a higher value in the liver of the freshwater bream (0.823) and Zn had a higher value in the liver of freshwater bream (0.914) and chub (0.834) as well as in gills of Prussian carp (2.58) and chub (1.26). Potamogeton pectinatus, Ceratophylum demersum and the root of Phragmites communis showed higher accumulation of elements than Trapa natans and Potamogeton fluitans and the body of P. communis. The highest BSAF values for Ba, Mn, Sr and Ni were recorded in the gills. Cd and Cu had the highest BSAF values in the liver. Results confirmed that particular macrophyte and fish species could be a good indicator of reservoir water and sediment pollution.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Environmental Pollution",
title = "Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool",
pages = "1174-1167",
volume = "241",
doi = "10.1016/j.envpol.2018.06.054"
}

Đikanović, V., Skorić, S., Spasić, S., Naunović, Z.,& Lenhardt, M.. (2018). Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool. in Environmental Pollution
Elsevier Sci Ltd, Oxford., 241, 1167-1174.
https://doi.org/10.1016/j.envpol.2018.06.054

Đikanović V, Skorić S, Spasić S, Naunović Z, Lenhardt M. Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool. in Environmental Pollution. 2018;241:1167-1174.
doi:10.1016/j.envpol.2018.06.054 .

Đikanović, Vesna, Skorić, Stefan, Spasić, Slađana, Naunović, Zorana, Lenhardt, Mirjana, "Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool" in Environmental Pollution, 241 (2018):1167-1174,
https://doi.org/10.1016/j.envpol.2018.06.054 . .

TY  - JOUR
AU  - Smederevac-Lalić, Marija
AU  - Kalauzi, Aleksandar
AU  - Regner, Slobodan
AU  - Lenhardt, Mirjana
AU  - Naunović, Zorana
AU  - Hegediš, Aleksandar
PY  - 2017
UR  - http://rimsi.imsi.bg.ac.rs/handle/123456789/1042
AB  - The effects of physical factors on fish catch in the Serbian part of the Danube River were studied for period of six decades. The data on total catch for the Danube River from river kilometre 845 to river kilometre 1433 were collected from Statistical Office of the Republic of Serbia, while water level and water temperature data were collected from 16 water gauge stations along the investigated part of the Danube River for the period 1948-2009. Cross-correlation functions have been used to analyse the functional connection between Danube water level, water temperature and fish catch while ARMA model which combines cyclic (deterministic) and random (stochastic) components of the analysed sequences was used for the forecasts. The cross-correlation function showed negative correlation between water level and temperature as well as between water temperature and catch and positive correlation between water level and catch. The Danube water level and catch were coherent at the periods of 2.06, 4.13, 6.2, 10.33, 20.66 years, while the cross correlation function between these time series did not show phase lag. The results of reconstruction and forecast of water level, temperature, and catch of fish in the Danube River, obtained by summing the cyclic and stochastic components, was used for the forecast till 2029. In 2016, seven years after, the initial forecasts were made, validity of the model was checked by obtaining data for water temperature, water level and fish catch in the Danube River for the period 2010-2015. Model gave the best prediction for water temperature; average standard error was 1.6 times higher for predicted value than for model value while for fish catch and water level they were 1.96 and 4.97, respectively. Methods used in this work could be powerful tool for prediction of fish catch and serve as the basis for better fisheries management.
PB  - Elsevier Science Bv, Amsterdam
T2  - Science of the Total Environment
T1  - Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics
EP  - 671
SP  - 664
VL  - 609
DO  - 10.1016/j.scitotenv.2017.07.177
ER  - 

@article{
author = "Smederevac-Lalić, Marija and Kalauzi, Aleksandar and Regner, Slobodan and Lenhardt, Mirjana and Naunović, Zorana and Hegediš, Aleksandar",
year = "2017",
abstract = "The effects of physical factors on fish catch in the Serbian part of the Danube River were studied for period of six decades. The data on total catch for the Danube River from river kilometre 845 to river kilometre 1433 were collected from Statistical Office of the Republic of Serbia, while water level and water temperature data were collected from 16 water gauge stations along the investigated part of the Danube River for the period 1948-2009. Cross-correlation functions have been used to analyse the functional connection between Danube water level, water temperature and fish catch while ARMA model which combines cyclic (deterministic) and random (stochastic) components of the analysed sequences was used for the forecasts. The cross-correlation function showed negative correlation between water level and temperature as well as between water temperature and catch and positive correlation between water level and catch. The Danube water level and catch were coherent at the periods of 2.06, 4.13, 6.2, 10.33, 20.66 years, while the cross correlation function between these time series did not show phase lag. The results of reconstruction and forecast of water level, temperature, and catch of fish in the Danube River, obtained by summing the cyclic and stochastic components, was used for the forecast till 2029. In 2016, seven years after, the initial forecasts were made, validity of the model was checked by obtaining data for water temperature, water level and fish catch in the Danube River for the period 2010-2015. Model gave the best prediction for water temperature; average standard error was 1.6 times higher for predicted value than for model value while for fish catch and water level they were 1.96 and 4.97, respectively. Methods used in this work could be powerful tool for prediction of fish catch and serve as the basis for better fisheries management.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Science of the Total Environment",
title = "Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics",
pages = "671-664",
volume = "609",
doi = "10.1016/j.scitotenv.2017.07.177"
}

Smederevac-Lalić, M., Kalauzi, A., Regner, S., Lenhardt, M., Naunović, Z.,& Hegediš, A.. (2017). Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics. in Science of the Total Environment
Elsevier Science Bv, Amsterdam., 609, 664-671.
https://doi.org/10.1016/j.scitotenv.2017.07.177

Smederevac-Lalić M, Kalauzi A, Regner S, Lenhardt M, Naunović Z, Hegediš A. Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics. in Science of the Total Environment. 2017;609:664-671.
doi:10.1016/j.scitotenv.2017.07.177 .

Smederevac-Lalić, Marija, Kalauzi, Aleksandar, Regner, Slobodan, Lenhardt, Mirjana, Naunović, Zorana, Hegediš, Aleksandar, "Prediction of fish catch in the Danube River based on long-term variability in environmental parameters and catch statistics" in Science of the Total Environment, 609 (2017):664-671,
https://doi.org/10.1016/j.scitotenv.2017.07.177 . .