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Bloom of the potentially toxic cyanobacterium P. rubescens: seasonal distribution and possible drivers of its proliferation in the Vrutci reservoir (Serbia) Cover

Bloom of the potentially toxic cyanobacterium P. rubescens: seasonal distribution and possible drivers of its proliferation in the Vrutci reservoir (Serbia)

Open Access
|Dec 2019

Figures & Tables

Figure 1

Vrutci reservoir on the Đetinja River (Western Serbia). The yellow marker indicates the sampling location referred to as Vodozahvat
Vrutci reservoir on the Đetinja River (Western Serbia). The yellow marker indicates the sampling location referred to as Vodozahvat

Figure 2

Volume-weighted averages of P. rubescens and total phytoplankton biomass in the Vrutci reservoir: in 2014 (a) and 2015 (b)
Volume-weighted averages of P. rubescens and total phytoplankton biomass in the Vrutci reservoir: in 2014 (a) and 2015 (b)

Figure 3

Biomass of P. rubescens (a); water temperature and location of the thermocline (black lines) in the Vrutci reservoir (b)
Biomass of P. rubescens (a); water temperature and location of the thermocline (black lines) in the Vrutci reservoir (b)

Figure 4

Annual water-level fluctuations in the Vrutci reservoir in 2014 and 2015
Annual water-level fluctuations in the Vrutci reservoir in 2014 and 2015

Figure 5

Nutrients in the Vrutci reservoir in 2014 and 2015: N-NO3 concentration (a) and ortho-P concentration (b)
Nutrients in the Vrutci reservoir in 2014 and 2015: N-NO3 concentration (a) and ortho-P concentration (b)

Figure 6

RDA ordination diagram showing the relationships between the biomass of P. rubescens and other phytoplankton taxa as well as hydrological, meteorological, physical and chemical parameters (nutrients). Water mixing layers are used as supplementary variables. The first RDA axis explained 21.90% and the first and second axes together explained 40.80% of the variability in our data, which accounted for the total explained variation in the analysis (F=12.6, p =0.0002).
RDA ordination diagram showing the relationships between the biomass of P. rubescens and other phytoplankton taxa as well as hydrological, meteorological, physical and chemical parameters (nutrients). Water mixing layers are used as supplementary variables. The first RDA axis explained 21.90% and the first and second axes together explained 40.80% of the variability in our data, which accounted for the total explained variation in the analysis (F=12.6, p =0.0002).

Figure 7

Response curves that include the relationship between P. rubescens biomass and water temperature – WT (a) and water flushing – Wflush (b)
Response curves that include the relationship between P. rubescens biomass and water temperature – WT (a) and water flushing – Wflush (b)

Mean, minimum and maximum values of hydrological, meteorological, physical and chemical parameters in 2015

Hydro- and meteorological parameters Min. Mean Max
Water flushing (m3 s−1) −1.10 0.15 3.38
Air temp. (°C) −0.76 9.29 20.71
Wind speed (m s−1) 1.00 1.41 2.20
Insolation (h) 3.94 6.61 10.89
Precipitati on (mm) 1.25 5.76 9.82
Physicochemical parameters
Secchi depth (m) 1.1 2.8 4.3
EpilimnionMetalimnionHypolimnion
Min.MeanMaxMin.MeanMaxMin.MeanMax
Water temp. (°C)6.416.525.35.49.713.24.66.79.7
Conductivity (μS cm−1)145.0267320.5223.2244.4256.5222.6251.5301.0
pH8.38.69.07.38.29.07.27.68.6
Chl-a conc. (μg l-1)3.64.86.53.311.232.82.93.85.0
N-NH4 (μg l−1)20120400101132761099198
N-NO2 (μg l−1)56914359051490
N-NO3 (μg l−1)50280810200373820340624838
TN (μg l−1)45092014307101101160178412281846
ortho-P (μg l−1)102050917319910
TP (μg l−1)301204703413541734156324
TN:TP1.612.931.23.011.527.43.413.436.2

Explained variation and significance tests of the variation partitioning that included three groups of variables – conditional (a, b, c) and simple effects (a+d+f+g, b+d+g+e, c+e+f+g) were tested

Tested fractionExplained variation (%)Fp
a11.810.00.0002
b6.27.10.0002
c9.17.80.0002
a + d + f + g21.814.50.0002
b + d + g + e16.211.30.0002
c + e + f + g18.812.00.0002
a + b + c + d + e + f + g40.89.80.0002

Mean, minimum and maximum values of hydrological, meteorological, physical and chemical (Chl-a) parameters in 2014

Hydro- and meteorological parameters Min. Mean Max
Water flushing (m3 s−1) −3.71 0.86 6.79
Air temp. (°C) −0.09 9.07 17.33
Wind speed (m s−1) 1.19 1.85 4.66
Insolation (h) 3.34 5.35 8.91
Precipitati on (mm) 1.38 7.37 12.36
Physicochemical parameters
Secchi depth (m) 1.2 1.9 2.8
EpilimnionMetalimnionHypolimnion
Min.MeanMaxMin.MeanMaxMin.MeanMax
Water temp (°C)4.914.522.75.210.715.94.98.512.5
Conductivity (μS cm−1)222.0259.2288.5219.0247.1290.5204.5239.8276.0
pH8.28.79.27.88.28.57.77.88.2
Chl-a conc. (μg l−1)3.17.213.93.77.49.94.56.19.8

Main morphological features of the studied Vrutci reservoir and characteristics of the catchment

Characteristics of the reservoirValueUnit
Area1.92km2
Volume40.2 × 106m3
NPL (Normal Pool Level)621.3m a.s.l.
Max depth60m
Mean depth20.9m
Water retention time250days
Characteristi cs of the catchment
Area160km2
Max altitude1544m a.s.l.
Mean altitude915m a.s.l.
DOI: https://doi.org/10.2478/ohs-2019-0029 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
Language: English
Page range: 316 - 327
Submitted on: Dec 14, 2018
Accepted on: Apr 8, 2019
Published on: Dec 10, 2019
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Ana Blagojević Ponjavić, Dušan Kostić, Prvoslav Marjanović, Ivana Trbojević, Slađana Popović, Dragana Predojević, Gordana Subakov Simić, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.