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Spatial-temporal variability of mercury content in the river perch Perca fluviatilis Linnaeus, 1758 (Perciformes: Percidae) of the Rybinsk Reservoir at the turn of the XX-XXI centuries
Vera A. Gremyachikh1, Rosa A. Lozhkina1, Viktor T. Komov12*
1I.D. Papanin Institute for Biology of Inland Waters, Russian Academy of Sciences, Borok 109, Nekouz District, Yaroslavl region, 152742 Russia
2Cherepovets State University, pr. Lunacharskogo 5, Cherepovets, Vologda Region, 162600 Russia *[email protected]
Received: 16.08.2018 Accepted: 29.10.2018 Published online: 20.05.2019
DOI: 10.23859/estr-180816 UDC 597.583.1:574.64 URL: http://www.ecosysttrans.com/ publikatsii/detail_page.php?ID=113
ISSN 2619-094X Print ISSN 2619-0931 Online
Translated by S.V. Nikolaeva
The amount of mercury (Hg) in the muscle tissue of the river perch (Perca fluviatilis Linnaeus, 1758) from different stretches of the Rybinsk reservoir was measured in a period from 1997 to 2012. Mercury concentrations were higher in muscles of perches from the Sheksna and Volga reaches, and lower in the Glavnyi and Mologa reaches, as well as Hg in bottom sediments from fish habitats. These values are shown to depend on the size of the fish and were found to increase in recent decades. The amount of mercury was determined in various organs and tissues of the perch. A positive correlation was established between the mercury content in all the studied samples and the mercury concentration in the muscle tissue in which it was the highest (up to 0.91 mg/kg wet weight). The bulk of the accumulated mercury present in the fish was found to be in the muscle tissue.
Keywords: reservoirs, accumulation of mercury, bottom sediments, ichthyofauna, abiotic and biotic environmental factors.
Gremyachikh, V.A., Lozhkina, R.A., Komov, V.T., 2019. Spatial-temporal variability of mercury content in the river perch Perca fluviatilis Linnaeus, 1758 (Perciformes: Percidae) of the Rybinsk Reservoir at the turn of the XX-XXI centuries. Ecosystem Transformation 2 (2), 34-44.
Introduction
Pollutants continue to enter aquatic ecosystems despite the improvement of technological processes and the tendency towards decreasing anthropogenic impact on the environment in recent decades (Hrabik and Watras, 2002; Moiseenko, 2009; Moiseenko and Gashkina, 2016). The problem of mercury (Hg) accumulation in fish remains relevant for many bodies of water in northern Europe (Strandberg et al., 2016). Large reservoirs of Russia, representing not only major waterways, sources of mineral resources, water supply facilities, recreation, but also the resource base of recreational and commercial fishing, affecting the diet of
the human population, require particularly close study. One of these basins is the Rybinsk Reservoir, one of the largest reservoirs of the Upper Volga cascade, in which the living conditions for perch in different stretches differ in hydrological and hydrochemical parameters, composition and number of representatives of different trophic groups of biological communities, and their distribution across the water area (Kopylov, 2001; 2010; Litvinov et al., 2012).
For the first time, high levels of mercury accumulation in freshwater bodies of the north-west of the European part of Russia were recorded in muscles of perch inhabiting small (water surface less than 1 km2) acidic
lakes - up to 3.04 mg/kg wet weight (Haines et al., 1992; Stepanova and Komov, 1997). Perch from water bodies with neutral pH values, which include almost all large lakes and reservoirs (S > 30 km2), have many-fold lower mercury concentrations, but in some
cases exceed 0.3 mg/kg (Gremyachikh and Komov, 2015). Such mercury content may pose a risk to the health of warm-blooded animals, in the diet of which fish is an essential element (Scheuhammer et al., 2007; Wiener et al., 2007).
Table 1. Content and proportion of mercury in various organs and tissues of perch relative to its total amount in the body. Mean values of indicators ± standard deviations are above the line; minimum and maximum values are below the line. Statistically significant meanings are highlighted.
* - Coefficients of correlation between the indicators of mercury concentration in an organ relative to its total amount in the muscles.
No. Organ Mercury content, mg/kg wet weight Proportion of the weight of the body of the total weight of organs, % The content of mercury in the body relative to its total amount in the organs, % rs, p < 0,05*
1 muscles 0.26 ± 0.06 49.2 ± 1.8 76.0 ± 1.3 1
0.10-0.68 37.1-56.8 67.8-82.4
2 heart 0.18 ± 0.1 0.15 ± 0.01 0.12 ± 0.04 0.67
0.001-0.91 0.09-0.24 0.001-0.37
3 axial 0.14 ± 0.03 7.81 ± 0.29 8.17 ± 1.02 0.52
skeleton 0.05-0.46 6.43-9.62 2.01-13.02
4 liver 0.12 ± 0.05 2.42 ± 0.17 1.49 ± 0.18 0.73
0.03-0.80 1.60-4.00 0.66-3.03
5 scull 0.09 ± 0.05 10.6 ± 0.5 4.91 ± 1.27 0.55
bones 0.02-0.59 8.5-14.3 0.24-14.15
6 kidneys 0.09 ± 0.02 0.24 ± 0.03 0.11 ± 0.02 0.88
0.03-0.25 0.08-0.49 0.06-0.22
7 stomach 0.08 ± 0.02 0.92 ± 0.08 0.54 ± 0.07 0.72
0.02-0.25 0.51-1.52 0.10-0.96
8 spleen 0.08 ± 0.02 0.15 ± 0.02 0.06 ± 0.01 0.86
0.02-0.19 0.08-0.41 0.03-0.09
9 gut 0.07 ± 0.02 1.00 ± 0.07 0.47 ± 0.11 0.66
0.001-0.27 0.73-1.47 0.02-1.54
10 gonads 0.05 ± 0.03 7.7 ± 2.3 1.80 ± 1.00 0.68
0-0.35 0.49-26.08 0-12.19
11 skin 0.06 ± 0.01 7.12 ± 0.25 3.51 ± 0.62 0.39
0-0.18 5.51-8.79 0-6.80
12 gills 0.05 ± 0.02 3.45 ± 0.21 1.30 ± 0.27 0.70
0.001-0.19 2.32-4.57 0.03-3.25
13 eyes 0.05 ± 0.01 1.56 ± 0.23 0.55 ± 0.15 0.75
0.001-0.15 0.48-2.86 0.01-1.52
14 brain 0.04 ± 0.01 0.36 ± 0.08 0.07 ± 0.02 0.94
0-0.10 0.06-0.84 0-0.21
15 pectoral 0.04 ± 0.01 2.86 ± 0.11 0.71 ± 0,20 0.85
fins 0.03-0.14 1.86-3.65 0.12-2.51
16 scales 0.03 ± 0.01 4.52 ± 0.52 1.13 ± 0.36 0.22
0-0.10 2.45-10.43 0-3.98
For many years, river perch has been used as a model representative of ichthyofauna when studying patterns of mercury accumulation by fish from water bodies and watercourses of different typologies (Komov et al., 2004). At the same time, the perception of the main mercury depositing organs or tissues in perch has not yet been formed. In addition, no universal dependence of metal accumulation by fish from large lakes and reservoirs on hydrochemical and hydrobiological conditions has been derived.
Taking this into account, the following tasks were set: (1) analysis of the spatio-temporal dynamics of mercury concentrations in the muscles of the perch of the Rybinsk Reservoir and its reaches in recent decades; (2) the study of the distribution of mercury in the organs and tissues of the perch to determine the parts of the body of major and minor importance for mercury accumulation.
Material and methods
For the subsequent analysis of the mercury content, at the stations of the Volga, Glavnyi, Mologa and Sheksna stretches of the Rybinsk reservoir in 19972012 samples of bottom sediments (BS) were taken, perch were caught with nets and seine nets (104 females, 40 males and 5 juveniles).
BS samples were collected by a bottom grab sampler and dried at 39 °C for 3 days (Komov et al., 2017). Fishing, sampling and storage were carried out according to standard methods (Komov et al, 2004).
Samples were different in fish size and weight, so in some cases, a comparative analysis did not take into account fish weighing more than 100 g.
To determine the mercury content in different tissues, 12 perches from the Volga Reach weighing from 7 to 947 g were prepared to extract liver, kidneys, muscles, heart, stomach, spleen, intestines, gonads, brain, gills, eyes, bones of the head and axial skeleton, scales, skin and pectoral fins. The extracted organs and tissues were weighed (to determine the proportion of the mass of the organ in relation to the mass of the whole organism), and the concentration of mercury was determined in them. Based on the data obtained, the relative (%) Hg content in the organ of its total amount in the body of fish was calculated.
The mercury content was determined in 2-3 replicates by the atomic absorption method of cold steam on a Lumex RA-915+ mercury analyzer equipped with a PYRO attachment without preliminary sample preparation. The accuracy of analytical measurement methods was controlled using certified DORM-2 and DOLM-2 biological reference material (supplied by National Research Council of Canada).
The results were processed statistically using the univariate and multiple dispersion analysis (ANOVA) method and the LSD test procedure at a level of significance p < 0.05 (Sokal and Rohlf, 1995). All data were expressed as a mean ± SEM (x ± SE). To identify correlations between the studied parameters, whose values
Fig. 1. Mean content of mercury in various organs and tissues of the river perch from the Rybinsk Reservoir.
in the samples do not have a normal distribution (Shapiro - Wilk test of normality), the non-parametric Spearman coefficient (rs, p < 0.05) was used.
Results
The mercury content in the studied organs and tissues of 12 river perch specimens varied from values lying below the threshold for analytical determi-
nation of the instrument to 0.91 mg/kg. The mean Hg concentration was the highest (0.26 ± 0.06 mg/kg) in muscle tissue, and was lower in the axial skeleton, bones of the head and internal organs (0.030.18 mg/kg). Minimum concentrations were recorded in the brain, pectoral fins and scales (< 0.05 mg/kg wet weight) (Table 1, Fig. 1). Muscles accounted for the maximum proportion in the total mass of organs
Table 2. Average mercury content in the muscles of perch from the Rybinsk Reservoir (1997-2012). The mean values ± standard deviation are above the line; minimum and maximum values are below the line. n - number of fishes studied; L2 - fork length of the fish (the distance from the tip of the snout to the end of the middle rays of the caudal fin).
Year n L2 cm Weight, g Mercury content, mg/kg wet weight
1997 8 13.3 ± 0.7 27.1 ± 4.8 0.08 ± 0.03
11.6-18.2 16.2-58.0 0.01-0.25
1998 18 17.3 ± 0.7 77.6 ± 14.1 0.20 ± 0.04
13.5-26.5 29.9-297.6 0.01-0.58
1999 6 30.0 ± 1.1 461.7 ± 61.6 0.37 ± 0.03
27.0-34.0 308-672.0 0.3-0.46
2000 9 12.8 ± 1.2 35.5 ± 7.8 0.04 ± 0.003
5.2-19.5 16.5-95.4 0.03-0.06
2001 4 39.3 ± 2.1 1006.3 ± 78.9 0.44 ± 0.03
35.0-45.0 850.0-1200.0 0.38-0.51
2002 13 30.5 ± 0.8 569.5 ± 68.8 0.35 ± 0.03
27.5-37.0 400.0-1240.0 0.25-0.57
2003 2 42.3 1226.0 0.56
42-42.5 0.4 and 0.72
2004 16 30.2 ± 1.0 493.5 ± 56.5 0.28 ± 0.05
25.6-37.0 240.3-910.0 0.11-0.82
2005 4 18.5 ± 2.2 92.4 ± 32.0 0.14 ± 0.04
15.0-24.2 43.3-178.8 0.08-0.25
2006 10 17.6 ± 0.9 81.3 ± 12.6 0.21 ± 0.02
13.2-22.7 31.5-150.9 0.09-0.29
2008 14 18.8 ± 2.0 90.4 ± 18.4 0.17 ± 0.03
3.5-33.3 3.0-209.7 0.03-0.39
2009 15 23.4 ± 1.7 278.5 ± 53.6 0.25 ± 0.04
16.3-33.2 81.4-695.0 0.06-0.58
2010 13 40.4 ± 17.8 254.1 ± 68.0 0.26 ± 0.02
13.5-244.6 26.8-969.0 0.13-0.41
2012 16 28.0 ± 1.7 351.1 ± 91.5 0.41 ± 0.04
17.5-42.5 74.2-1543.0 0.18-0.68
For all 148 24.8-1.7 284.0 ± 25.4 0.25 ± 0.01
years 3.5-244.6 3.0-1543.0 0.01-0.82
(49.2 ± 1.8%) and in the total amount of accumulated metal (76.0 ± 1.3%) (Table 1). The concentration of mercury in the muscles was reliably correlated with the metal content in all the organs and tissues studied, in most cases the correlation was statistically significant (Table 2).
The concentration of Hg in the perch muscles of the Rybinsk Reservoir for the entire time of the study varied from 0.01 to 0.82 mg/kg wet weight (Table 2). The fish samples over the years were statistically significantly different in length, mass, and mercury content in the muscles, which positively correlated with the perch mass (rs = 0.96, p < 0.05). In fish from different reservoir stretches, no statistically significant differences in the indicator values were found either when ana-
lyzing data for all samples or when limiting the weight of individuals to 100 g (Table 3), but concentrations were higher in the Sheksna and Volga stretches and lower - in the Glavnyi and Mologa stretches (Table 4).
The mean mercury concentration in the perch muscles of the Rybinsk Reservoir has increased over the years of research: when analyzing data for the entire sample (rs = 0.29, p < 0.05) and when limiting the mass of the analyzed fish to 100 g (rs = 0.37, p < 0.05). The same trend was also recorded in samples from the Volga, Glavnyi and Mologa stretches, while for the perch from Sheksna stretch, a significant decrease was observed in the indicator for the entire sample of fish (rs = -0.88, p < 0.05) and for the perch weighing up to 100 g (r = -0.95, p < 0.05).
Table 3. Average mercury content in perch muscles from different stretches of the Rybinsk Reservoir in 1997-2012. Mean values ± standard deviation are above the line; minimum and maximum values are below the line. n - number of fish studied; L2 - fork length of the fish (the distance from the tip of the snout to the end of the middle rays of the caudal fin).
Reach n L2, cm Weight, g MercU wye?oweteg'.t,t ^ Year
12 16.50.6 62.9 ± 7.7 0.16 ± 0.02 1998
13.5-20.5 30-123 0.04-0.27
4 13.0 ± 0.4 31.6 ± 3.6 0.03 ± 0.003 2000
12.0-13.5 24-38 0.03-0.04
5 38.8 ± 1.7 985.4 ± 64.6 0.45 ± 0.03 2001
35.0-45.0 850-1200 0.38-0.52
12 29.9 ± 0.5 541.8 ± 68.4 0.33 ± 0.03 2002
27.5-34.0 400-1240 0.25-0.57
Volga 11 28.8 ± 1.2 422.8 ± 69.4 0.29 ± 0.06 2004
25.6-37.0 240-910 0.11-0.82
8 23.6 ± 1.5 137.5 ± 17.3 0.26 ± 0.03 2008
20.0-33.3 58-210 0.09-0.39
15 23.4 ± 1.7 278.5 ± 53.6 0.25 ± 0.04 2009
16.3-33.2 81-695 0.06-0.58
5 27.1 ± 2.3 386.6 ± 146.2 0.31 ± 0.03 2010
24.5-36.5 226-969 0.26-0.41
5 26.1 ± 0.8 233.6 ± 28.3 0.48 ± 0.08 2012
24.0-29.0 185-340 0.21-0.68
3 21.0 ± 2.9 150.9 ± 74.2 0.05 ± 0.05 1998
16.5-26.5 57-298 0.01-0.13
Glavnyi 6 30.0 ± 1.1 461.7 ± 61.6 0.37 ± 0.03 1999
27-34 308-672 0.3-0.46
1 19.5 95.4 0.03 2000
2 19.1 104.3 0.18 2010
Reach n L2 cm Weight, g Mercury content, mg/kg wet weight Year
8 13.3 ± 0.7 27.1 ± 4.8 0.08 ± 0.03 1997
11.6-18.2 16-58 0.01-0.25
4 10.9 ± 1.9 24.5 ± 3.0 0.04 ± 0.01 2000
5.2-13.2 17-31 0.03-0.06
2 21.9 ± 2.4 140.2 ± 39.6 0.18 ± 0.08 2005
19.5-24.2 101-180 0.1-0.25
Mologa 10 17.6 ± 0.9 81.3 ± 12.3 0.21 ± 0.02 2006
13.2-22.7 32-151 0.09-0.29
4 9.4 ± 2.1 17.0 ± 5.8 0.06 ± 0.02 2008
3.5-12.5 3-28 0.02-0.1
6 22.0 ± 2.5 195.4 ± 66.2 0.25 ± 0.04 2010
17.0-32.5 66-483 0.13-0.36
11 28.9 ± 2.4 404.5 ± 131.2 0.38 ± 0.04 2012
17.5-42.5 75-1543 0.18-0.61
3 16.7 ± 0.6 63.1 ± 9.0 0.51 ± 0.07 1998
15.6-17.7 54-81 0.36-0.58
2 42.3 1226 0.56 2003
Sheksna 5 33.5 ± 0.8 488.8 ± 55.5 0.26 ± 0.06 2004
31.3-36.0 488-830 0.18-0.49
2 15.1 44.6 0.11 2005
2 18 49.2 0.05 2008
The mercury content in the bottom sediments of the reaches of the Rybinsk reservoir varied: in 2000, within 0.02-0.07, in 2016 - 0.01-0.3 mg/kg of dry weight (Table 5). Mercury content was higher in BS of the Sheksna and Volga reaches, lower in BS of the Glavnyi and Mologa reaches. Mercury content in the perch from different reaches was shown to correlate with the values of this indicator in BS (r = 0.95, p < 0.047), concentrations of nitrogen (Ntotal), chlorophyll (Chltotal) and the number of cladocerans (Laza-rev et al., 2012) (r = 0.91-0.95, p < 0.1).
Discussion
The study showed that the lowest metal content is in the brain and gonads, while the highest is in the muscles. The gonads in fish are formed each year, so they should be considered as organs with the highest degree of self-renewal (Nemova, 2005; Svobodo-va et al., 1999). Muscles make up about half of the body weight of the fish, and this tissue contains about 80% of all the mercury that has entered the body. In other organs, the metal content is significantly lower due to their lower mass. High correlations between mercury levels in organs and tissues make it possible to roughly estimate the concentration of mercury in
muscles in the presence of data on pectoral fins, gills, bones of the head and axial skeleton. This can be useful when working with collection material or when collecting incomplete fish remains in the field.
The results of this study agree with the findings of previous studies, where non-lethal approaches to assessing mercury pollution of the aquatic environment using fish as indicators were considered, and various methods of biopsy were used to obtain data (Acker-son et al., 2014; Schmitt and Brumbaugh, 2007). Thus, prediction of metal concentrations in the muscles of fish was carried out according to the values of the indicator in the fins (fin fragments) (Cervenka et al., 2011; Cerveny et al., 2016; Gremillion et al., 2005; Piraino and Taylor, 2013; Ryba et al., 2008). The statistically significant correlation between the metal content of muscles and fins creates additional opportunities to determine levels of mercury load on water bodies using perch as an indicator species. Its presence allows changes over time in the process of metal accumulation by fish to be tracked and simplifies the sampling procedure.
Maximum concentrations of mercury, according to literary data, are found in the liver, kidneys, muscles, skeleton and cardiac tissue (Cizdziel et al., 2003;
Gazina, 2005; Moiseenko, 2003; Popov et al., 2002). Depending on the type of fish and the amount of work carried out, the studied organs and tissues are arranged by the authors in different ways: liver > kidneys (Popov et al., 2002); liver > kidney > skeleton (Moiseenko, 2003); liver > muscles > gonads > blood (Cizdziel et al., 2003); heart > gills > muscles > liver (Gazina, 2005).
The correlation of the mercury content with the weight (size, age) of the perch established in this study is consistent with data from other studies (Chen and Folt, 2005; Dang and Wang, 2012; Hanna et al., 2015). Kannan et al. (1998) considered that body size plays a particularly important role because the accumulation of mercury, unlike other trace elements, in the body positively correlates with the length and weight of the fish. According to the other authors mentioned, the intensity of the metal bioconcentration depends on the size (weight) of the fish. It is shown that the mercury content of the food of young fish is low, and the rapid growth rates of young fish reduce the concentration of metal in their muscle tissue as a result of "growth dilution". This effect is less pronounced in large fish specimens (the growth rate is lower), and the mercury content of the prey is higher (due to an increase in its size).
A complex multicomponent ecosystem of the Rybinsk reservoir, the interaction of a large number of
abiotic and biotic factors, which remain poorly documented or even neglected, did not make it possible to put forward a simple explanation for the increased concentration of mercury in perch muscles in recent decades, especially since metal accumulation processes proceeded differently even in some parts of the reservoir (reaches).
For similar reasons, monitoring of mercury content in the muscles of two indicator species (bream, chub) from freshwater and estuary water bodies of five European countries (England, Germany, Netherlands, France and Sweden) in 2007-2013 did not permit an unambiguous conclusion about trends in the mercury bioconcentration process. Nevertheless, the results of these studies served as a basis for the following conclusions: the EU environmental quality standard (EQS) of 20 ^g/kg of wet weight was exceeded at all sites and for all years except for one lake in Germany in 2012 (Commission Regulation ..., 2008); Further efforts are needed to reduce mercury emissions both to the atmosphere and directly to water (Nguetseng et al., 2015).
The established positive correlation of the Hg content in perch muscle tissue and the indicator parameter in the BS reaches of the reservoir suggests further work in this direction and a more in-depth analysis of the problem, since it is unclear whether the mercury concentration in the reservoir BS reflects
Table 4. Mean mercury content in muscles of perch from different reaches of the Rybinsk Reservoir over the entire study period. Mean values ± standard deviation are above the line; minimum and maximum values are below the line. n - number of fish studied; L2 - fork length of the fish (the distance from the tip of the snout to the end of the middle rays of the caudal fin).
Reach n L2, cm Weight, g Mercury content, mg/kg wet weight
Volga 77 24.9 ± 0.8 328.9 ± 33.8 0.28 ± 0.02
12.0-45.0 23.9-1240.0 0.03-0.82
h Glavnyi 12 25.1 ± 1.8 293.9 ± 61.6 0.23 ± 0.05
s fi al 13.5-34.0 26.8-672.0 0.01-0.46
r o Mologa 45 19.1 ± 1.3 157.7 ± 39.4 0.21 ± 0.02
LL 3.5-42.5 3.0-1543.0 0.01-0.61
Sheksna 14 26.3 ± 2.8 433.8 ± 118.6 0.30 ± 0.06
15.0-42.5 22.1-1226.0 0.03-0.72
Volga 18 16.5 ± 1.1 55.5 ± 5.5 0.13 ± 0.02
g 0 0 12.0-33.3 23.9=100.1 0.03-0.39
n Glavnyi 4 17.4 ± 1.5 69.4 ± 17.0 0.06 ± 0.04
a h t s s le 13.5-20.1 26.8-97.9 0.01-0.17
Mologa 30 17.4 ± 1.5 47.2 ± 5.6 0.12 ± 0.01
h s fi 13.5-20.1 3.0-100.6 0.01-0.27
r o U_ Sheksna 7 16.6 ± 0.5 53.8 ± 7.6 0.26 ± 0.1
15.0-18.0 22.1-81. 0.03-0.58
Table 5. Average mercury content (mg/kg dry weight) in BS of different reaches. Mean values ± standard deviation are above the line; minimum and maximum values are below the line. The number of studied fish specimens is below the line in parentheses.
Year
Mologa
Reach
Glavnyi
Volga
Sheksna
2000
0.05 ± 0.001 0.050-0.052 (4)
0.02 ± 0.001 0.022-0.024 (3)
0.29 ± 0.07 0.10-0.67 (4)
0.08 ± 0.005 0.07-0.10 (6)
2016
0.06 ± 0.01
0.01-0.14 (20)
0.04 ± 0.01
0.02-0.07 (6)
0.16
0.19 ± 0.02
0.15-0.16 (2)
0.14-0.28 (6)
the levels of metal accumulation in its fish.
A study of BS and the biota of estuaries of South Florida (Kannan et al., 1998) showed a positive correlation between total and methyl mercury concentrations in muscles of several species of marine fish and shellfish with total mercury concentrations in BS.
Analysis of the distribution of mercury in abiotic (water, soil) and biotic (zooplankton, zoobenthos, fish, birds, mammals) components of drainless neutral and acidic lakes of various typologies on the territory of Darwin State Reserve showed a negative correlation of mercury concentrations in fish muscles on its content in BS. At the same time, the highest concentrations of metal in BS were characteristic of neutral lakes, and in fish muscle, for acidic lakes (Stepanova and Komov, 2004). The discrepancy between the obtained results may be due to the fact that research was conducted in aquatic ecosystems of different types.
The correlation of mercury content in perch muscles and its concentration in water (N „„ ChL„,) and
v total' total'
the abundance of cladocerans can be considered as a tendency. Published data on the effect of the above abiotic and biotic factors on the content of Hg in fish are inconsistent. According to Finley et al. (2016), the mercury content in muscles of brook trout (Salvelinus fontinalis Mitchell, 1814) negatively correlated with the pH values of the water and slightly positively with the trophic level of the reservoir, and with the content of total of PtJ.
total
In an experimental study by Essington and Hauser (2003), the introduction of nutrients into reservoirs (an increase in the trophicity of lakes) promoted the growth of yellow perch (Perca flavescens Mitchell, 1814) and a decrease in mercury content in its muscles. According to the authors, this may be for 3040% associated with growth dilution and, to a greater extent, with a change in diet - the transfer of food from benthic invertebrates to plankton.
In the present work, a positive correlation was established between the concentration of metal in fish muscle and the abundance of planktonic Cla-docera. In studies conducted on the Volga reservoirs (including Rybinsk) in the last years of the twentieth century, it has already been shown that the mercury content in the muscles of perch is higher in sites with
the maximum values of zooplankton biomass and the minimum values of phytoplankton (Stepanova and Komov, 2004). According to Chen and Folt (2005), the mercury content in phytoplankton and various-sized zooplankton decreased with an increase in their abundance, which was estimated from the concentration of Cl (mg/l) and the number of hydrobionts (specimen/l). The increase in phyto- and zooplankton abundance was negatively correlated with the Hg concentration in the muscle tissue of non-predatory and predatory fish.
The content of mercury in muscles of perch from the Rybinsk Reservoir over the study period tended to increase. The average values of the index for fish from the reaches were not statistically significantly different, but, just as in BS, they were higher in the Sheksna and Volga reaches, and lower in the Glavnyi and Mologa reaches. The absence of any significant patterns in the process of mercury accumulation in fish from hydrochemical and hydrobiological indicators of their habitats is probably due to the fact that these indicators themselves are variable and depend on the season and place of sampling.
A slight change in the Hg content in the perch muscles from the Rybinsk reservoir indicates the stability of the indicator and the possibility of its use for assessing the degree of mercury contamination of aquatic ecosystems. A necessary condition for obtaining a reliable result in a comparative analysis of samples of fish from different biotopes with different biocenoses will be a limited variation in the size and weight indicators of the specimens examined, since the concentrations of Hg in the muscles increase with the growth of the fish.
The results indicate that over the past decades the Rybinsk reservoir ecosystem is in a relatively stable state and is not subject to significant impact from changes in the external environment. At the beginning of the XXI century, the level of mercury contamination does not pose a serious danger to the reservoir ecosystem or to people who eat fish from it.
Acknowledgments
This work was performed within the framework of the state grant of the Ministry of Science and Higher
Education of the Russian Federation "Physiological,
biochemical and immunological reactions of aquatic
organisms under the influence of biotic and abiotic environmental factors" (No. AAAAA1818182690123-4).
References
Ackerson, J.R., Mckee, M.J., Schmitt, C.J., Brumbaugh, W.G., 2014. Implementation of an non-lethal biopsy punch monitoring program for mercury in smallmouth bass, Micropterus dolomieu Lacepede, from the eleven point river, Missouri. Bulletin of Environmental Contamination and Toxicology 92, 125-131. https://doi.org/10.1007/ s00128-013-1145-x.
Cervenka, R., Bednarik, A., Komarek, J., Ondracko-va, M., Jurajda, P., Vitek, T., Spurny, P., 2011. The relationship between the mercury concentration in fish - muscles and scales/fins and its significance. Central European Journal of the Chemical Society 9, 1109-1116. https://doi.org/10.2478/s11532-011-0105-8.
Cerveny, D., Roje, S., Turek, J., Randak, T., 2016. Fish fin-clips as a non-lethal approach for biomonitoring of mercury contamination in aquatic environments and human health risk. Chemosphere 163, 290-295. https://doi.org/10.1016/j.chemo-sphere.2016.08.045.
Chen, C.Y., Folt, C.L., 2005. High plankton densities reduce mercury biomagnification. Environmental Science & Technology 39, 115-121. https://doi. org/10.1021/es0403007.
Cizdziel, J., Hinners, T., Cross, C., Pollard, J., 2003. Distribution of mercury in the tissues of five species of freshwater fish from Lake Mead, USA. Environmental Monitoring and Assessment 5, 802-807. https://doi.org/10.1039/B307641P.
Commission regulation (EC) No 629/2008 of 2 July 2008 amending Regulation (EC) No 1881/2006 setting maximum levels for certain contaminants in foodstuffs. Official Journal of the European Union L (173), 6-9.
Dang, F., Wang, W.-X., 2012. Why mercury concentration increases with fish size? Biokinetic explanation. Environmental Pollution 163, 192-198. https://doi.org/10.1016/j.envpol.2011.12.026.
Essington, T.E., Houser, E.N., 2003. The Effect of Whole-Lake Nutrient Enrichment on Mercury Concentration in Age-1 Yellow Perch.
Transactions of the American Fisheries Society 132 (1), 57-68. https://doi.org/10.1577/15 488659(2003)132<0057:TE0WLN>2.0.C0;2.
Finley, M.L., Kidd, K.A., Curry, R.A., Lescord, G.L., Clauden, M.G., Driscoll, N.J., 2016. A comparison of mercury biomagnification through lacustrine food webs supporting brook trout (Salvelinus fon-tinalis) and other salmonid fishes. Frontiers in Environmental Science 1-13. https://doi.org/10.3389/ fenvs.2016.00023.
Gazina, I.A., 2005. Osobennosti raspredeleniya i nakopleniya tyazhelykh metallov v organakh i tkanyakh ryb [Distribution and accumulation of heavy metals in organs and tissues of fish]. Izvesti-ya AltGu. Seriya Himiya. Geografiya. Biologiya [Iz-vestiya of Altai State University. Series Chemistry. Geography. Biology] 3, 90-93. (In Russian).
Gremillion, P.T., Cizdziel, J.V., Cody, N.R., 2005. Caudal fin mercury as a non-lethal predictor of fish-muscle mercury. Environmental Chemistry 2, 96. https://doi.org/10.1071/EN05018.
Gremyachikh, V.A., Komov, V.T., 2015. Soderzhanie rtuti v myshtcakh rechnogo okunya iz nekotorykh krupnykh ozyor Rossii [The content of mercury in the muscles of river perch from some large lakes in Russia]. Sbornik trudov Vtorogo mezhdunarod-nogo simpoziuma "Rtut' v biosfere: ekologo-geo-himicheskie aspekty" [Collection of Works of the Second International Symposium "Mercury in the Biosphere: Ecological and Geochemical Aspects"]. Novosibirsk, Russia, 113-117. (In Russian).
Haines, T.A., Komov, V.T., Jagoe, C.H., 1992. Lake acidity and mercury content of fish in Darwin National Reserve, Russia. Environmental Pollution 78, 107-112. https://doi.org/10.1016/0269-7491(92)90017-5.
Hanna, D.L., Solomon, C.T., Poste, A.E., Buck, D.G., Chapman, L.J., 2015. A review of mercury concentrations in freshwater fishes of Africa: patterns and predictors. Environmental Toxicology and Chemistry 34 (2), 215-223. https://doi.org/10.1002/etc.2818.
Hrabik, T.R., Watras, C.J., 2002. Recent declines in mercury concentration in a freshwater fishery: isolating the effects of de-acidification and decreased atmospheric mercury deposition in Little Rock Lake. The Science of the Total Environment 297, 229-237. https://doi.org/10.1016/S0048-9697(02)00138-9.
Kannan, K., Smith, R.G. Jr., Lee, R.F., Windom, H.L., Heitmuller, P.T., Macauley, J.M., Summers, J.K., 1998. Distribution of Total Mercury and Methyl Mercury in Water, Sediment, and Fish from South Florida Estuaries. Archives of Environmental Contamination and Toxicology 34, 109-118.
Komov, V.T., Stepanova, I.K., Gremyachikh, V.A., 2004. Soderzhanie rtuti v myshtcakh ryb iz vo-doemov Severo-Zapada Rossii: prichiny intensiv-nogo nakopleniya i otcenka negativnogo effekta na sostoyanie zdorov'ya lyudej [The content of mercury in fish muscles from the reservoirs of the North-West of Russia: the causes of intensive accumulation and the assessment of the negative effect on the health of people]. In: Flerova, B.A. (ed.), Aktual'nye problemy vodnoj toksikologii [Actual problems of water toxicology]. IBIW RAS, Borok, Russia, 99-123. (In Russian).
Komov, V.T., Gremyachikh, V.A., Udodenko, Yu.G., Shchedrova, E.V., Elizarov, M.E., 2017. Rtut' v abi-oticheskikh i bioticheskikh komponentakh vodnykh i nazemnykh ekosistem posyolka gorodskogo tipa na beregu Rybinskogo vodokhranilishcha [Mercury in abiotic and biotic components of aquatic and terrestrial ecosystems of a city-type settlement on the shore of the Rybinsk Reservoir]. In: Tomilina, I.I. (ed.), Antropogennoe vliyanie na vodnye orga-nizmy i ekosistemy. Trudy Instituta vnutrennkih vod im. I.D. Papanina [Proceedings of the I.D. Papanin Institute of Inland Waters] 77 (80), 34-56. (In Russian).
Kopylov, A.I., 2001. Ekologicheskie problemy Verkh-nej Volgi [Ecological problems of the Upper Volga]. Yaroslavl State Technical University, Yaroslavl, Russia, 427 p. (In Russian).
Lazareva, V.I., 2010. Struktura i dinamika zooplank-tona Rybinskogo vodokhranilishcha [Structure and dynamics of the zooplankton of the Rybinsk Reservoir]. KMK, Moscow, Russia, 183 p. (In Russian).
Lazareva, V.I., Mineeva, N.M., Zhdanova, S.M., 2012. Prostranstvennoe raspredelenie planktona v vodohranilishchakh verkhnej i srednej Volgi v gody s razlichnymi termicheskimi usloviyami [Spatial distribution of plankton in the reservoirs of the upper and middle reaches of the Volga River in years with different thermal conditions]. Povolzhskij eko-logicheskij zhurnal [Povolzhye ecological journal] 4, 394-407. (In Russian).
Litvinov, A.S., Pyrina, I.L., Zakonnova, A.V., Kuchaj, L.A., Sokolova, E.N., 2012. Izmenenie termicheskogo rezhima i produktivnosti fitoplank-
tona Rybinskogo vodokhranilishcha v usloviyakh potepleniya klimata [Changes in the thermal regime and productivity of the phytoplankton of the Rybinsk Reservoir in conditions of climate warming]. Materialy dokladov Vserossijskoj konferentsii "Bassejn Volgi v XXI-m veke: struktura i funktsion-irovanie ekosistem vodokhranilishcha" [Proceedings of the All-Russian Conference "The Volga Basin in the XXIst century: the structure and functioning of reservoir ecosystems"], Borok, Russia, 22-26 October 2012. Permyakov S.A., Izhevsk, Russia, 108-112. (In Russian).
Moiseenko, T.I., 2003. Zakislenie vod: Faktory, me-khanizmy i ekologicheskie posledstviya [Acidification of water: Factors, mechanisms and environmental effects]. Nauka, Moscow, Russia, 276 p. (In Russian).
Moiseenko, T.I., 2009. Vodnaya ekotoksikologiya: Teoreticheskie i prikladnye aspekty [Water ecotoxi-cology: Theoretical and applied aspects]. Nauka, Moscow, Russia, 400 p. (In Russian).
Moiseenko, T.I., Gashkina, N.A., 2016. Bioakkumu-lyatsiya rtuti v rybakh kak indikator urovnya zag-ryazneniya vod [Bioaccumulation of mercury in fish as an indicator of the level of water pollution]. Geo-khimiya [Geochemistry] 6, 495-504. (In Russian) https://doi.org/10.7868/S0016752516060042.
Nemova, N.N., 2005. Biohimicheskie effekty nakopleniya rtuti u ryb [Biochemical effects of mercury accumulation in fish]. Nauka, Moscow, Russia, 166 p. (In Russian).
Nguetseng, R., Fliedner, A., Knopf, B., Lebreton, B., Quack, M., Rudel, H., 2015. Retrospective monitoring of mercury in fish from selected European freshwater and estuary sites. Chemosphere 134, 427-434. https://doi.org/10.1016/j.chemo-sphere.2015.04.094.
Piraino, M.N., Taylor, D.L., 2013. Assessment of nonlethal methods for predicting muscle tissue mercury concentrations in coastal marine fishes. Archives of Environmental Contamination and Toxicology 65, 715-723. https://dx.doi.org/10.1007%2 Fs00244-013-9946-9.
Popov, P.A., Androsova, N.V., Anoshin, G.N., 2002. Nakoplenie i raspredelenie tyazhelykh i perekhod-nykh metallov v rybakh Novosibirskogo vodokhranilishcha [Accumulation and distribution of heavy and transition metals in the fish of the Novosibirsk Reservoir]. Voprosy ikhtiologii [Problems of ichthyology] 42, 264-270. (In Russian).
Ryba, S.A., Lake, J.L., Serbst, J.R., Libby, A.D., Ayvazian, S., 2008. Assessment of caudal fin clip as a non-lethal technique for predicting muscle tissue mercury concentrations in largemouth bass. Environtal Chemistry 5 (3), 200-203. https://doi. org/10.1071/EN08017.
Scheuhammer, A.M., Meyer, M.W., Sandheinrich, M.B., Murray, M.W., 2007. Effects of environmental methylmercury on health of wild birds, mammals, and fish. Ambio 36, 12-18. https://doi.org/10 .1579/0044-7447(2007)36[12:E0EM0T]2.0.C0;2.
Schmitt, C.J., Brumbaugh, W.G., 2007. Evaluation of potentially nonlethal sampling for monitoring mercury concentrations in smallmouth bass (Microp-terus dolomieu). Archives of Environmental Contamination and Toxicology 53, 84-95. https://doi. org/10.1007/s00244-006-0214-0.
Sokal, R.R., Rohlf, F.J., 1995. Biometry: the principals and practice of statistics in biological research. W.H. Freeman and Co, New York, USA, 887 p.
Stepanova, I.K., Komov, V.T., 1997. Mercury accumulation in fish from water bodies of the Vologod-scaja Oblast. Russian Journal of Ecology 28 (4), 260-264.
Stepanova, I.K., Komov, V.T., 2004. Rol' troficheskoj struktury ekosistemy vodoyomov severo-zapada
Rossii v nakoplenii rtuti v rybe [The role of trophic structure of the ecosystem of reservoirs of northwest Russia in the accumulation of mercury in fish]. Gidrobiologicheskij zhurnal [Hydrobiological Journal] 40 (2), 87-96. (In Russian).
Strandberg, U., Palviainen, M., Eronen, A., Piirai-nen, S., Lauren, A., Kankaala, P., 2016. Spatial variability of mercury and polyunsaturated fatty acids in the European perch (Perca fluviatilis). Implications for risk-benefit analyses of fish consumption. Environmental pollution 219, 305-314. https:// doi.org/10.1016/j.envpol.2016.10.050.
Svobodova, Z., Dusek, L., Hejtmanek, M., Vykuso-va, B., Smid R., 1999. Bioaccumulation of Mercury in Various Fish Species from Orlik and Kamyk Water Reservoirs in the Czech Republic. Ecotoxicolo-gy and Environmental Safety 43, 231-240. https:// doi.org/10.1006/eesa.1999.1783.
Wiener, J.G., Bodaly, R.A., Brown, S.S., Lucotte, M., Newman, M.C., Porcella, D.B., Reash, R.J., Swain, E.B., 2007. Monitoring and evaluating trends in methylmercury accumulation in aquatic biota. In: Harris, R., Krabbenhoft, D.P., Mason, R.F., Murray, M.W., Reash, R.J., Saltman T. (eds.), Ecosystem Responses to Mercury Contamination: Indicators of Change. Society of Environmental Toxicology and Chemistry, Pensacola, Florida, USA, 87-122. https://doi.org/10.1201/9780849388897.ch4.
