The best way to assess the ecological status of water is to combine physicochemical and biological analysis. Chemical analyzes provide only an insight into the current state of the ecosystem and hence they may yield a false picture of the ecosystem state. Aquatic organisms, such as diatoms, aquatic invertebrates, fish and macrophytes are a very useful tool for evaluating the ecological status of surface waters because they are sensitive to many changes in the environment (Szczepocka et al. 2014). Diatoms are obligatory indicators in the water ecological status assessment in the EU countries (Torrisi & Dell'Uomo 2006; Szulc & Szulc 2013; Szczepocka et al. 2014; Bąk et al. 2014).
Diatoms are excellent biological indicators in the water quality monitoring, especially eutrophication, increased pollution and acidification (Furse 2006). They are often the most diverse group of photoautotrophs in freshwaters (King et al. 2006), occurring in all river sections and responding to changes in water quality (Torrisi & Dell'Uomo 2006). Benthic diatoms have become an inevitable part of water ecological status monitoring in the last decade in many countries of Europe (Kelly et al. 1995; Solak & Àcs 2011; Ivanov et al. 2003; Eloranta & Soinien 2002).
Even though the diatoms are one of the most important and influential organisms, and consequently excellent indicators of water ecological status, the applicability of diatom indices for the assessment of the ecological status of flowing waters in Serbia is still insufficiently explored. Andrejić (2012) conducted an assessment of the ecological status of the Nišava River and its tributaries Jerma and Temska based on the Trophic Diatom Index (TDI). The Diatom Pollution Index (DAlpo) is used as an ecological indicator of organic pollution in the Djetinja River (Krizmanić et al. 2013). Vidaković (2013) determined the ecological status of the Raška River based on 17 indices calculated with the help of the software package OMNIDIA (Lecointe et al. 1993). Benthic diatoms were used by Vasiljević et al. (2014) in the ecological status assessment of small streams in hilly terrains of Eastern Serbia. Four diatom indices (DAIpo, BDI, TDI and IPS) were used to assess the ecological status of the Danube-Tisza-Danube (DTD) hydrosystem in Northern Serbia (Jakovljević et al. 2014).
The main objective of this study was to evaluate the ecological status of the Vrla River based on the diatom indices and to test their use for the assessment of the ecological status of flowing waters in Serbia. Furthermore, the objective was to present the floristic richness of diatoms developing in the Vrla River. No data have been published to date on the diatom flora in the Vrla River.
The Vrla River is a right-hand tributary of the South Morava River in the southeast of Serbia. It is about 28 km long with a basin of about 500 km2. The spring is situated between Vardenik Mountain and Vlasina Lake. The Vrla River flows into the South Morava River in the center of a little town called Vladicin Han, at an altitude of 323 m a.s.l. While the basin has characteristics of an uncultivated mountainous land in its upper parts, a cement-mortar cover with stone chips protects the riverbed against erosion processes in its urban areas. The Vrla River is often considered to be part of the Vlasina hydrosystem due to its proximity to the spring of the Vlasina River and Vlasina Lake (Đeković et al. 2010). Three of the four hydropower stations of the Vlasina-Vrla hydrosystem were built in the Vrla River valley. Samples were collected from 6 sampling sites along the river, at an altitude ranging from 961 to 1056 m a.s.l. (Fig. 1).
The dominant substrate at the first sampling site were stones and rocks, whereas gravel occurred only occasionally. While stones covered with mosses were the dominant type of substrate at the second sampling site, stones and gravel prevailed at the third site. Silt occurred along the left bank as a result of the deposition of sediments originating from a pond. The bottom of the river at the fourth sampling site consisted of rocks and gravel, and silt occurred on the right bank. Rocks, stones, sand and gravel were the dominant type of substrate at the fifth and the sixth sampling site. A trout fish pond was built in the upper part of the investigated section of the Vrla River, between the second and the third sampling site.
Sampling was conducted at 6 sampling sites (VR1-VR6) along the Vrla River, during the six seasons (May, July, September, November 2011 and March and May 2012).
Water temperature-T, conductivity, pH, ammonium ions, nitrates, oxygen-O2, biochemical oxygen demand (BOD5), alkalinity, total phosphorus-TP, orthophos-phates-OP, and water hardness-WH were measured at each site. Water temperature, pH and conductivity were measured with a Lovibond Multimeter WTW 340i. Ammonium ions, nitrates, oxygen, alkalinity, total P, orthophosphates and total hardness were measured using a Lovibond photometer PC Multidirect. These parameters were measured in situ except BOD5 which was measured in a laboratory.
Diatoms were collected from stones by cleaning them with a toothbrush. The material was immediately fixed with formaldehyde and preserved to the final concentration of 4%. Prior to the preparation of permanent slides, algological samples were treated with a standard method using cold acid (Krammer & Lange-Bertalot 1986) and then mounted in a synthetic medium Naphrax®. Algological material was observed using a light microscope Zeiss AxioImager.M1 with a digital camera AxioCam MRc5 and AxioVision 4.8 software.
The following literature was used for the identification of diatoms: Krammer & Lange-Bertalot 1986, 1988, 1991, 1991a; Krammer 1997, 2000, 2002; Reichardt 1999; Lange-Bertalot 2001; Hofmann et al. 2013.
Four hundred valves were counted on each slide to determine the relative abundance of each taxa. Calculation of diatom indices was performed using the Omnidia software (Lecointe et al. 1993) and the ecological status of the Vrla River was assessed based on the indicator values of identified taxa. Six diatom indices were taken into consideration to determine the ecological status of the Vrla River: IPS, SLA, DESCY, CEE, IBD and TDI. These indices have been chosen because they are routinely used to assess the biological quality of European rivers in national networks. The IPS is used in Luxembourg and Spain, the SLA in Hungary and Portugal, the DESCY in Belgium and Luxembourg, the CEE in France, Belgium, Luxembourg, Andorra, Spain, Greece, Hungary and Portugal, the IBD in France, Luxembourg, Hungary and Portugal and the TDI in England (Lek et al. 2005). Furthermore, the legal regulation of the Republic of Serbia prescribes the use of IPS and CEE for the ecological status assessment of surface waters. All these indices evaluate the water ecological status in a range between 1 and 20, except for TDI whose values range from 1 to 100 (Descy 1979; Sládecek 1986; Descy & Coste 1991; Nieuwenhuis et al. 2005; Coste et al. 2009), where 1 indicates a very bad and 20 a very good water ecological status, and in the case of TDI – 1 indicates a very good and 100 a very bad water ecological status (Kelly & Whitton 1995).
Statistical analyses were performed using CANOCO for Windows Version 5 (Ter Braak & Šmilauer 2012). Canonical correspondence analysis CCA was used to visualize the relationships between the identified diatom taxa and the measured physicochemical data (explanatory environmental variables) with sampling sites and sampling seasons included as supplementary variables. The presence-absence data were used as a measure, so a unimodal method was applied. Two hundred twenty six diatom taxa were included in the analysis, but due to the high number of taxa, only 47 of the best fitting taxa (which percentage of variation is best explained by the ordination space) were shown on the graphs. The redundancy analysis (RDA) was performed to examine the potential effects of the measured environmental variables on the dominant diatom taxa with sampling sites and sampling seasons used as supplementary variables. RDA was used since the gradient was 1.6 SD units long. The dominant taxa were represented as a percentage calculated based on the valve percentage representation of each taxon relative to the total of 400 valves on each permanent slide. RDA with the option center and standardize was used and response data (diatom taxa) were log transformed. The statistical significance of each variable in both analyses (for the level of 0.01) was assessed using the Monte Carlo unrestricted permutation test involving 4999 permutations.
A taxonomically diverse diatom flora was identified in 36 analyzed samples, including 227 diatom taxa belonging to 50 genera.
Dominance in diatom communities in the Vrla River at sites VR1-VR6 in 2011-2012, in six seasons
A taxon new to Serbia was found in the analyzed material – Geissleria
The values of physicochemical parameters of the Vrla River are presented in Table 2. The water temperature during the sampling period ranged from 2 to 17.3°C, pH ranged from 7 to 8.8 and conductivity from 50 to 110 μS cm-1. Water hardness varied from 0.12 to 12.24, which means that water can be described as soft, moderately hard, hard to very hard depending on the season.
Chemical water parameters of the Vrla River at the studied sites (VR1-VR6) in 2011-2012
Parameter | VR1 | VR2 | VR3 | VR4 | VR5 | VR6 |
---|---|---|---|---|---|---|
Temperature (°C) | 2.2-13.0 | 2.3-12.4 | 2.0-15.0 | 2.3-15.2 | 2.5-15.5 | 2.0-17.3 |
Conductivity (μS cm-1) | 50-90 | 50-80 | 60-100 | 60-90 | 60-90 | 70-110 |
PH | 7.0-8.4 | 7.1-8.6 | 7.0-8.8 | 7.1-8.7 | 7.0-8.7 | 6.9-8.3 |
Ammonia (mg l-1) | <0.01-0.15 | <0.01-0.13 | <0.01-0.26 | <0.01-0.16 | <0.01-0.18 | <0.01-0.10 |
Nitrates (mg l-1) | 1.7-3.4 | 1.5-2.7 | 1.6-2.9 | 1.5-3.1 | 1.5-2.8 | 1.3-2.1 |
Oxygen (mg l-1) | 9.4-15.1 | 9.2-14.8 | 9.0-13.9 | 9.0-14.2 | 9.1-14.3 | 8.8-13.3 |
BOD5 (mg l-1) | 0.4-8.6 | <0.2-6.6 | <0.2-6.7 | 0.3-6.1 | 0.2-6.2 | 0.3-6.0 |
Alkalinity (Mmoll-1) | 0.4-2.6 | 0.4-2.3 | 0.7-2.6 | 0.5-2.6 | 0.4-2.8 | 0.5-2.5 |
Total P (mg Pl-1) | 0.03-0.06 | 0.02-0.07 | 0.02-0.09 | 0.02-0.05 | 0.02-0.07 | 0.02-0.07 |
Orthophosphates (mg Pl-1) | 0.02-0.04 | 0.01-0.04 | 0.01-0.05 | 0.01-0.03 | 0.01-0.03 | 0.01-0.03 |
Water hardness (°dH) | 0.12-12.01 | 0.15-11.79 | 0.22-11.79 | 0.16-11.79 | 0.16-12.24 | 0.16-12.24 |
Canonical Correspondence analysis (CCA) was used to evaluate the relationship between the examined environmental parameters and diatom taxa recorded in the Vrla River (Fig. 3).
CCA showed high statistical significance (F = 1.4, P = 0.0002). The first CCA axis shows the highest positive correlation with oxygen (r = 0.4399), and the second CCA axis showed a positive correlation with temperature (r = 0.6015). Conductivity showed a positive correlation with both CCA axes, with slightly higher correlation with the second axis (first axis: r = 0.4462, second axis: r = 0.5159). Alkalinity and water hardness were positively correlated with the third CCA axis (not shown on the ordination diagram). The temperature was dependent on the season and the lowest value was recorded in S5 and the highest one in S3 (at VR6). In general, considering average values of temperature at the sampling sites during all seasons, VR3 had the lowest, while VR6 the highest average temperature. Oxygen showed a reverse pattern and was negatively correlated with temperature (the angle between the vectors of these two variables is nearly 180 degrees indicating almost perfect negative correlation). Conductivity was low during S6 (lowest at VR1) and the highest in S3 and S5. Sampling site VR6 showed the highest values of conductivity in all seasons (70-110 μS cm-1). High values of alkalinity and very high values of water hardness (WH) compared to other seasons were also recorded during S1 at sampling sites VR5 and VR6. Orthophosphates (OP) and NO3 had the highest values recorded at VR3 in S1 and S2, respectively.
CCA divided the diatom taxa into three main groups. The first group is composed of diatom taxa (for example
Potential effects of the measured environmental variables on the dominant diatom taxa were investigated using RDA (Fig. 4).
The first RDA axis is positively correlated with temperature (r = 5.050), and negatively correlated mainly with total phosphorus (r = -0.5651), alkalinity (r = -0.5106) and water hardness (r = -0.5776). The second RDA axis is negatively correlated with pH (r = -0.6019) and conductivity (r = -0.6497). The other measured environmental variables were weakly correlated (positively or negatively) with both RDA axes.
Values of the six diatom indices indicated a similar ecological status of the water at the studied sites (Table 3). The correlation between the selected indices is shown in Table 4. The highest correlation is between CEE, IPS and IBD (Table 4). These three indices had the highest values at sampling sites VR1 and VR2, while the lowest at VR5 or VR6 (Table 3). DESCY was slightly different and its maximum value was calculated at sampling sites VR6 and VR5, and the lowest at VR2 (Table 3). Values of the CEE, IPS and DESCY indices clearly indicated good (class II) ecological status (Table 3) of the Vrla River at all the studied sites. Values of the IBD index for sampling sites VR1 and VR2 indicated high (class I) ecological status (Table 3). Also, chemical analysis of pH, ammonia, OP and TP indicated good and high ecological status of the Vrla River (Table 2). The highest value of the diatom index SLA was determined at sampling site VR1, and the lowest one at VR3 and VR4 (Table 3). Values of the SLA index for sampling sites VR2, VR3, VR4 and VR6 indicated a moderate ecological status or class III (Table 3), although these values were close to values indicating a good ecological status. The highest value of TDI was at sampling site VR3 (Table 3). Based on the TDI index, the Vrla River was characterized by moderate concentration of nutrients (class III) (Table 3). Table 3 clearly shows the ecological status of the Vrla River which ranges from moderate, good to high. Also, the percentage contribution of species characteristic of organic pollution (%PT) was calculated. This is related to TDI. The 20% contribution of these species indicates organic pollution and very high values of PT (over 40%) indicate the risk of eutrophication (Kelly et al. 1995). %PT was over 20% at sampling sites VR3, VR4 and VR5 in season S1, at VR3 in season S3 and at VR2 in season S5.
Average values of diatom indices and water quality classes at the studied sites (VR1-VR6) of the Vrla River in 2011-2012
Site | Values of diatom indices / Water Quality Class | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
IPS | SLA | DESCY | CEE | IBD | TDI | IPS | SLA | DESCY | CEE | IBD | TDI | |
VR1 | 16.55 | 13.38 | 15.71 | 15.31 | 17.15 | 55.1 | II | II | II | II | I | III |
VR2 | 16.56 | 12.78 | 15.21 | 15.35 | 17.33 | 55.03 | II | III | II | II | I | III |
VR3 | 15.43 | 12.63 | 15.55 | 13.91 | 14.76 | 56.56 | II | III | II | II | II | III |
VR4 | 15.30 | 12.56 | 15.23 | 13.81 | 14.00 | 49.28 | II | III | II | II | II | III |
VR5 | 15.25 | 13.28 | 15.76 | 13.63 | 13.76 | 47.73 | II | II | II | II | II | III |
VR6 | 15.36 | 12.88 | 16.05 | 14.66 | 13.73 | 52.88 | II | III | II | II | II | III |
Correlation coefficients for selected diatom indices (IPS, SLA, DESCY, CEE, IBD and TDI)
IPS | SLA | DESCY | CEE | IBD | TDI | |
---|---|---|---|---|---|---|
IPS | 1 | |||||
SLA | 0.318 | 1 | ||||
DESCY | -0.287 | 0.535 | 1 | |||
CEE | 0.905* | 0.268 | -0.019 | 1 | ||
IBD | 0.986* | 0.243 | -0.378 | 0.842* | 1 | |
TDI | 0.585* | -0.153 | -0.051 | 0.615* | 0.637* | 1 |
Legend: *statistically significant correlation coefficients
Great diatom species richness was documented during the floristic survey of the Vrla River. Species diversity determined with the use of the software Omnidia was in the range of 3.06 to 4.77. Clean rivers with a low level of pollution, such as the Linda River (Szczepocka et al. 2014) and the Pilica River (Szulc 2007), are also characterized by high species diversity. A similar species richness was observed in rivers located (like the Vrla River) in the southeast of Serbia: the Nišava, the Jerma and the Temska River (Andrejić et al. 2012). Furthermore, the most species-rich genera were the same as in our study. Species of the genera
Seasonal and spatial variations in water temperature affect the distribution of benthic diatoms in rivers. In general, the diversity of taxa increases in temperatures of 25-30°C and drops in temperatures above 30°C. In nature, however, seasonal and spatial dynamics of diatoms does not depend only on water temperature (Stevenson et al. 1996). In the Vrla River,
The first group of diatom taxa on the CCA ordination diagram involves diatom taxa that occurred at most of the sampling sites in more than one season and shows correlation to one or more different variables. More than half of the recorded taxa were grouped in the center of the ordination diagram, but we used 47 best fitted taxa in CCA analysis. A similar composition of communities at most of the sampling sites was characteristic of this river in general. The second group showed correlation with the higher oxygen levels. According to Van Dam et al. (1994), all above-mentioned diatom taxa
Values of the diatom indices show that there are no major variations in the ecological status of water at the studied sites. The obtained values of the CEE, IPS and IBD indices for sampling sites VR1 and VR2 compared to VR3, VR4 and VR5 could be explained by the fact that VR3 is located 50 m below the discharge pipe of the trout pond through which the water is discharged directly into the recipient (i.e. the river). Furthermore, a high correlation was determined between IPS and IBD based on the research conducted in the Pilica River (Poland) (Szulc & Szulc 2013). Our study showed that the organic pollution indices, i.e. SLA and IPS, indicate a better ecological status as compared to the trophic index TDI. Similar results were obtained during the survey of the Matysówka (Noga et al. 2013a) and Baryczka stream (Noga et al. 2013b) in Poland. The highest TDI value was recorded at sampling site VR3 (near the pond) and the lowest one at VR5. In accordance with this, we obtained the expected results for %PT. There is a possibility of organic pollution at sampling sites VR3, VR4 and VR5. This is not surprising because these sites are located downstream of the trout fish pond.
The study supports the use of diatom indices, especially IPS, DESCY and CEE, to monitor rivers in Serbia. Values of IPS, DESCY and CEE indices were most similar indicating a good ecological status of the Vrla River which is confirmed by chemical data. Altogether 104 diatom taxa (45.81°% of the total number of species found in the Vrla River) were used in the calculation of the 17 indices using the Omnidia software. Differences in the values of particular indices were not significant. Statistical analyzes show that the biological methods are the best tool for the water ecological status assessment. They accurately show the condition of the ecosystem, contrary to physical and chemical parameters which can indicate the current state but not necessarily the true one. The ecological status assessment of rivers can be used for many purposes (e.g. warning and sustainable development of the region) (Ivanković et al. 2011). The applicability of diatom-based indices depends on the local characteristics of the river and the type of substrate (Kwandrans et al. 1998) but also the similarity in species composition in the study area and the taxa used in each index.