Open Access
1 December 2016 Waterbird-Mediated Productivity of Two Soda Pans in the Carpathian Basin in Central Europe
Emil Boros, Csaba Pigniczki, Tamás Sápi, Katalin V.-Balogh, Lajos Vörös, Boglárka Somogyi
Author Affiliations +

The effect of aquatic birds on nutrient cycling and energy flow was investigated in two soda pans, one turbid and the other colored, with different physical and chemical characteristics. Primary plankton production and respiration were measured together with an estimation of waterbird carbon, nitrogen and phosphorus loading during 2014. Both pans were hypertrophic and showed net heterotrophy. The nutrient loading of the birds in the turbid pan was approximately five times higher (C: 758 kg/ha/year, N: 122 kg/ha/year, P: 20 kg/ha/year) than in the colored pan, with significant guanotrophication. Despite the high chlorophyll a concentrations (turbid: 752 µg/l and colored: 369 µg/l, on average), the annual surface-related planktonic production was relatively low (turbid: 64 mg C/m2/year and colored: 23 mg C/m2/year), by contrast, respiration was similar in the two pans (turbid: 75 C/m2/year and colored: 78 mg C/m2/year). Nutrient loading showed a significant positive correlation with total and soluble reactive phosphorus, chlorophyll a and gross planktonic production, supporting the conclusion that the waterbirds significantly affected primary production. By contrast, there was no significant correlation between the nutrient loading and planktonic respiration. The low production and respiration ratio (Pro/Res) in the colored pan was presumably caused by a high dissolved organic carbon concentration (polyhumic). A possible explanation for the difference of Pro/Res between the turbid and colored pans is variation in the decomposition of the bird excrement and surrounding macrophytes.

The role of waterbirds in biochemical cycles and productivity in aquatic ecosystems has been studied in a number of cases. Guanotrophication by waterbirds can have a positive impact on productivity and energy flow. However, waterbirds can cause local habitat degradation. Several supporting and regulatory ecosystem services are provided by waterbirds (Green and Elmberg 2013). The influence of birds in aquatic ecosystems is often indirect, and their importance remains largely unknown because of the lack of essential information about the interactions between waterbirds and other ecosystem components. Thus, effective management of aquatic ecosystems requires a better understanding of how waterbirds can affect ecosystems.

Zavarzin (1993) observed that endorheic soda lakes have closed nutrient cycling, where the input of carbon and nitrogen into the ecosystem comes predominantly from CO2 and N2 fixation by photosynthetic cyanobacteria. On other hand, the soda lakes are not entirely closed systems because of sometimes vast populations of waterbirds (Brian et al. 1998; Sorokin et al. 2014). The soda pans of the Carpathian Basin are important breeding and stopover sites for African-Eurasian migratory waterbirds traversing the Black Sea and the Mediterranean flyway (Boros et al. 2013). The aquatic communities of these habitats are strongly linked to waterbirds in three ways: 1) soda pans with high zooplankton biomass attract planktivorous filter-feeding waterbirds (Boros et al. 2006a; Horváth et al. 2013); 2) wading shorebirds feed on less abundant nektonic and benthic invertebrates (Boros et al. 2006b, 2008b); and 3) large-bodied herbivorous bird species (e.g., geese) provide a significantly high external nutrient load of carbon (C), nitrogen (N), and phosphorus (P), which causes hypertrophic conditions (Boros et al. 2008a) and may lead to net heterotrophy (Vörös et al. 2008).

The primary objective of this study was to identify the impact of waterbirds on the processes of production and decomposition in two characteristic Hungarian soda pans. Our hypothesis was that waterbirds have a significant impact on both planktonic production and respiration because of the nutrient loading associated with their presence. By selecting two different hypertrophic soda pans, one dominated by open water (80%) and one by macrophyte vegetation (90%), the spatial distribution of marshland macrophytes was also taken into account as a background environmental factor.


Study Area

The pans were located in the Duna-Tisza Interfluvial region of Hungary. The Zab-szék pan (46° 50′ 5.09″ N, 19° 10′ 17.82″ E) was selected as a prototypical turbid type (grayish-white water rich in suspended colloidal minerals), while the Sósér pan (46° 47′ 18.62″ N, 19° 8′ 39.71″ E) was selected to represent the colored type (brownish-black water rich in dissolved humic matters). The two pans are located 3 km apart. The pans are situated in the groundwater discharge areas of a closed hydrographic (endorheic) basin, in which groundwater inflow exceeds the surface-related watershed inflow and precipitation (Boros et al. 2013). We assume that nutrient input by precipitation, surface and groundwater inflow were the same in both pans.

Submerged macrophytes were absent from the open waters of the pans, but both pans were surrounded by marshland vegetation dominated by saltmarsh bulrush (Bolboschoenus maritimus) and common reed (Phragmites australis) in varying spatial proportions. The extent of open water and marshland vegetation was estimated from field observations and remote-sensing databases extracted from Google Earth. The mapping procedure and spatial calculations were carried out using ArcMap (Environmental Systems Research Institute 2013). The selected pans differed in the spatial distribution of open water and macrophyte-covered areas: in 2014, the turbid Zab-szék pan (143 ha) consisted of 80% open water and 20% marshland vegetation, whereas the colored Sósér pan (51 ha) consisted of 90% marshland vegetation and only 10% open water at average water-depth levels. As both pans are shallow with intermittent standing water, they are incapable of supporting resident fish populations.

Field Measurements and Water Sampling

Water sampling was carried out monthly between January and December 2014 in the open waters of the pans. Water depth was measured at each sampling location, and underwater light conditions were measured with a Secchi disc (Secchi) except when the pan bottom was visible (Wetzel and Likens 1991). Water temperature, pH and conductivity were measured using a WTW MultiLine P4 field instrument. The diel variation in water temperature was determined using HOBO Pendant Temperature/Light Data Loggers (64K-UA-002-64). Salinity (Sal) was calculated from conductivity using the following formula: salinity (g/l) = 0.8 × conductivity (mS/cm) (Boros et al. 2014).

Laboratory Measurements

The concentration of colored dissolved organic matter (CDOM) was expressed as Pt (platina) units (mg Pt/l) using the method of Cuthbert and del Giorgio (1992). Acid-washed glassware was used for the analyses. Samples for total organic carbon (TOG) and dissolved organic carbon (DOG) analyses were acidified (to pH 2 with HCl) and bubbled to remove dissolved inorganic carbon. Next, the samples were filtered through a precombusted GF-5 glass fiber filter (pore size = 0.4 µm), and both TOC and DOC concentrations were measured using an Elementar High TOC (V.-Balogh et al. 2009, 2010). Particulate organic carbon (POC) was defined as the difference between TOC and DOC concentrations (POC = TOC - DOC).

For the determination of total nitrogen (TN), samples were digested by sodium hydroxide and potassium-persulfate in an autoclave at a temperature of 121 °C, and TN was measured with a Shimadzu UV-160A spectrophotometer (Eaton et al. 1995). The quantity of soluble reactive phosphorus (SRP) was determined from filtrates based on the method of Murphy and Riley (1962), while total phosphorus (TP) content was measured spectrophotometrically after potassium-persulfate digestion from unfiltered water samples (Menzel and Corwin 1965).

Total suspended solids (TSS) were determined gravimetrically (Eaton et al. 1995) after filtration through cellulose acetate filters (pore size = 0.4 µm). For the chlorophyll a (Chi) measurement, 5–100 ml of each sample (depending on turbidity) was filtered through a GF-5 glass fiber filter, after which chlorophyll a concentration was determined spectrophotometrically with hot methanol extraction (Wetzel and Likens 1991). Algal-free suspended solids (TSS-Alg) concentration was calculated by assuming a 1:100 ratio between chlorophyll a concentration and the dry weight of phytoplankton (Reynolds 1984). Subtracting the latter from the total suspended solids (TSS) concentration yielded the algal-free suspended solids (TSS-Alg) concentration.

Planktonic Primary Production and Respiration

Planktonic primary production (Pro) and community respiration (Res) were measured monthly using the ‘light-dark bottle’ method (Vollenweider 1969). The measurements began after ice melt from 1 February 2014 to 31 December 2014, except in July, when the pans were almost completely dry. Seasonal variation was monitored with two measurements per month during the vegetation period from March to October 2014, except in July and August, again because of low water levels. To estimate production and respiration rates, samples were collected in 300 ml Karlsruhe bottles in the field. For each pan, three light bottles and three darkened bottles were placed into the water along the shoreline. The bottles were fully submerged in an upside-down position, with the bottom of the bottles at the surface and the height of the Karlsruhe bottles extending beyond the euphotic depth of the ponds. Incubations lasted from 10 to 14 hr. Dissolved oxygen before and after the incubations was measured with a WTW Oxi 539 dissolved oxygen meter and a TriOxmatic 300 electrode. Daily production was calculated from the hourly values by assuming that Production (daily) = Production (hourly) × daylight hours. Daily respiration (for 24 hr) was calculated on the basis of the measured hourly respiration rates taking into account the diel variability of respiration as a consequence of temperature dependence (del Giorgio and le B. Williams 2005). Oxygen concentration data were transformed into carbon concentration (mg C/l) by applying a constant parameter of 0.313.

Estimation of the Nutrient Loading of Waterbirds

The nutrient loading of birds was estimated by determining the abundance of waterbird populations and the nutrient content of their excrement. Waterbirds on the open water of the pans were counted with binoculars (8×42 and 10×42) and spotting scopes (30×75 and zoom 20-60×78) during daylight at 7-day intervals throughout 2014. Daily bird abundance (individuals/ha) was calculated from the average of the weekly counts for each month. The contribution of waterbird populations to the daily nutrient load was estimated using daily net rates of C, N, and P excretion (Table 1). Daily carbon, nitrogen and phosphorus excretion data (g/day/individual) were modified by a species-residency time correction factor (RTF: residence time in hours on the pans during 24 hr) on the water surface based on observed diurnal and nocturnal activity. Daily net C, N, and P excrement data and waterbird species RTFs are listed in Table 2. The monthly total loading of waterbirds = Σ species (A × E × RTF × D), where A is the daily mean of abundance of waterbird species for each month, E is the daily net rate of C, N, and P in the excrement of each bird species, RTF is the daily residency time factor of each species on the open water and D is the number of days of each month. The annual summarized net C, N, and P loads were determined by summing the monthly average loads. Surface-related data were calculated as the sum of monthly loading volumes divided by the actual size of the open water of each month.

Statistical Analyses

We tested for relationships between water bird-related nutrient loading and the investigated water variables with pairwise Spearman rank correlations. To reveal any possible relationship between measured and estimated parameters, we also carried out a Principal Component Analysis (PCA). Basic statistical analyses, graph preparation, PCA ordination with standardized scores and Spearman rank correlations were performed using Origin software (OriginLab 2015).


Waterbird Population and Nutrient Loading

Both waterbird species richness and abundance were higher on the Zab-szék pan than on the Sósér pan, likely because of the difference in the size of the open water area. Altogether, 45 waterbird species were observed on the two pans, but only 14 of them were observed on the Sósér pan whereas only 44 of them were found on the Zab-szék pan (Table 2). Bird abundance and nutrient loading displayed notable seasonal variation, which was associated with peaks in the passage of migratory birds. The abundance of waterbirds observed on the Zab-szék pan was highest in early spring (February-March), with a second peak (July) of post-breeding birds occurring prior to the drying out of the pans (Fig. 1A). On the Sósér pan, only moderate population peaks occurred in spring and summer (Fig. 1B). The highest observed waterbird abundance was 171 individuals/ha on Zab-szék pan in February, while there were only 26 individuals/ ha on the Sósér pan at the beginning of July as the pan was drying out. The cumulative yearly sum of the monthly average number of waterbirds was two orders of magnitude higher and the yearly sum of the monthly average abundance was one order of magnitude higher on the Zab-szék pan (55,453 individuals; 385.10 individuals/ha) compared to Sósér pan (495 individuals; 41.24 individuals/ha). The species composition of the waterbird community differed between the pans. Based on the number of individuals/ ha, the primary species contributing to the allochthonous nutrient loads on the Zabszék pan were the Greater White-fronted Goose, Greylag Goose, Eurasian Teal, Mallard, Eurasian Curlew, Caspian Gull, Yellow-legged Gull, and Black-headed Gull, while on the Sósér pan, the Northern Lapwing and the Black-headed Gull were the only abundant species (scientific names in Tables 1 and 2).

In 2014, the yearly total nutrient loading of waterbirds was estimated to be 7,582 mg C/m2/year, 1,221 mg N/m2/year and 197 mg P/m2/year for the Zab-szék pan, and 1,376 mg C/m2/year, 226 mg N/m2/year and 54 mg P/m2/year for the Sósér pan. The yearly total nutrient loads and the seasonal dynamics of waterbird abundance show that the monthly mean carbon, nitrogen and phosphorus loading by waterbirds was six, five, and four times higher in the Zab-szék pan, respectively, than in the Sósér pan (Table 3; Fig. 1B, 1C).

Table 1.

Daily net Carbon (C), Nitrogen (N), and Phosphorus (P) excrement data (g/day/individual) and residency time factors (RTF: residency time hours on the pans during 24 hours) of the observed waterbird species. International English and scientific names are from the British Ornithologists' Union (2013).


Table 2.

Monthly average individuals and abundance of the observed bird species on the pans in 2014. International English and scientific names are from the British Ornithologists' Union (2013).




Physical and Chemical Conditions of the Pans

For both pans, the salinity was within the hyposaline range (5.6–5.7 g/l) and the pH was alkaline (> 9). Both pans were very shallow with water depths ranging from 2 to 50 cm, and a monthly period of drying out from the middle of July through August. The transparency, as measured with Secchi, was very low in the turbid Zab-szék pan; the mean transparency for the Zab-szék pan was 1.9 cm, with a minimum of 0.3 cm, due to the high concentration of algal-free suspended solids. However, transparency was also low in the colored Sósér pan, with a much lower concentration of algal-free suspended solids and a mean CDOM concentration an order of magnitude higher than in the Zab-szék pan (Table 3).

There was a strong positive correlation between CDOM and DOC (r = 0.862), and, on the basis of the DOC concentrations, both pans (Sósér in particular) were polyhumic (> 16 mg C/l). The proportion of POC was 32% for the Zab-szék pan and only 9% for the Sósér pan. The mean total nitrogen concentration was higher (2.6x) in the Sósér pan compared to the Zab-szék pan. Conversely, both mean total and soluble reactive phosphorus concentration was higher (3.6x and 4.3x, respectively) in the Zab-szék pan compared to the Sósér pan (Table 3).

Planktonic Primary Production and Respiration

Mean chlorophyll a concentration was two times higher in the Zab-szék pan than in the Sósér pan. The seasonal dynamics of chlorophyll a concentration was also different. In the Zab-szék pan, the annual peak occurred in spring, while in the Sósér pan it was observed in summer (Fig. 1D).

Figure 1.

Seasonal dynamics of waterbird abundance (A), nutrient loading of waterbird excrement (B and C), chlorophyll a concentration (D), planktonic production (E), and respiration (F) on the investigated pans (Zab-szék and Sósér pans) in 2014.


There was a significant correlation (r = 0.596) between the monthly Pro and Res of the pans, and the rate of respiration was higher than the rate of production for both pans. The yearly Pro/Res ratio was 0.85 in the Zab-szék pan but only 0.29 in the Sósér pan. The estimated mean monthly production rates (Pro: mg C/m2/month) were twice as high in the Zab-szék pan (Fig. 1E)—where the nutrient loading of waterbirds was also higher (C: 6x; N: 5x; P: 4x)—compared to the Sósér pan, while the mean monthly respiration rates (Res: mg C/m2/month) were similar (Table 3).

The seasonal dynamics of production and respiration also differed between the pans. In the Zab-szék pan, maximum production and respiration both occurred in the spring, during February-April (Fig. 1E), when the nutrient loading of waterbirds was also at its peak (Fig. 1B). In contrast, in the Sósér pan, both production and respiration peaked in August (Fig. 1F), due to the presence of a dense population of blue-green algae, with an extremely high maximum chlorophyll a concentration in the shallow water occurring after a month-long dry period. This peak was of a brief duration, and production was almost zero from the middle of September to the end of the year.

Table 3.

Basic statistical summary of the soda pans in 2014.




The estimated annual planktonic production was 2.8 times higher in the Zab-szék pan (63,468 mg C/m2/year) than in the Sósér pan (22,796 mg C/m2/year). In contrast to production, annual planktonic respiration was more or less the same in the two pans (Zab-szék pan: 74,748 mg C/m2/year; Sósér pan: 77,460 mg C/m2/year).

Principal Component Analysis of the Variables

The first four principal components explain 85.67% of the variance, the remaining components each contribute 4% or less, and several variables are highly correlated. According to the PCA ordination and pairwise correlations, most of the physical and chemical variables related to the first, second or third component, and they varied together in three groups. The first group was composed of T, Sal, pH, SRP and TP, the second comprised Z, Secchi and TN, and the third included Pt, TOC and DOC. TSS-Alg varied separately along the second component. The C, N, and P loading of waterbirds varied closely together with Chl and Pro along the second component, while only Res varied mostly with the fourth component, and it had no significant correlation with any measured variables (Fig. 2).

The C loading of waterbirds was significantly and positively correlated with the TSS-Alg, TP, SRP and Pro variables, and negatively correlated with the Secchi, CDOM and DOC variables. The N loading of waterbirds significantly and positively correlated with the TSS-Alg, pH, CDOM, TP, SRP, Chl and Pro variables, and negatively correlated with the Z, Secchi and DOC variables. The P loading of waterbirds significantly and positively correlated with the TSS-Alg, pH, TP, SRP, Chl and Pro variables, and negatively correlated with the Secchi, CDOM and DOC variables (Table 4).


Both the turbid and colored pans were considered to be hypertrophic based on the concentration of inorganic plant nutrients and chlorophyll a (Organization for Economic Cooperation and Development 1982), but the depth-integrated production level was very low compared to the chlorophyll a concentration, and the gross primary production and respiration ratio was smaller than 1 for both pans. Although some studies have found that a Pro/Res ratio below 1 is common at different trophic states in temperate zone lakes (del Giorgio and Peters 1994; Hanson et al. 2003; Urabe et al. 2005; Cornell and Klarer 2008), we found that a Pro/Res < 0.5 may be common in soda pans. Del Giorgio and Peters (1993) demonstrated that the Pro/Res ratio varies with trophic status. Oligotrophic lakes are considered to be net heterotrophic, with chlorophyll a concentrations of 17 µg/l set as the dividing point. Eutrophic and hypertrophic lakes are considered to be net autotrophic due to the higher levels of primary productivity and lower allochthonous organic matter. Our results are inconsistent with these findings despite the fact that the average chlorophyll a concentration of the pans was an order of magnitude higher (means of turbid: 752 µg/l and colored: 369 µg/l) than the suggested limit (17 µg/l) of heterotrophy; there was no question that the pans were net heterotrophic.

Waterbird-related nutrient loading in inland waters can vary widely (Manny et al. 1994; Post et al. 1998; Hahn et al. 2008). However, in the current study phosphorus and nitrogen loads were found to be three and six times higher, respectively, compared to a prototypical example of guanotrophication (Manny et al. 1994) on Wintergreen Lake, Michigan, USA, where the estimated loading of waterbirds was 297 kg/ha/year for C, 19 kg/ha/year for N and 6 kg/ha/year for P. Thus, our study represents an example of extreme guanotrophication in a continental environment; guanotrophication may be a consequence of the relatively small size of the pans and the high abundance and diversity of waterbirds present.

Figure 2.

Presentation of the principal component analysis (PCA) of Carbon (C), Nitrogen (N), and Phosphorus (P) loading of waterbird excrement and the environmental parameters. Dashed lined ellipse symbolizes that nutrient (C, N, P) loading of waterbirds closely varied together with Chl and Pro along the second component (see in Table 3 for abbreviations and units of variables).


Some previous studies (Unckless and Makarewicz 2007; Özbay 2015) did not find any significant differences in the plant nutrient pool and concentration of chlorophyll a at a 1.5- to 2-m water depth when treated with bird excrement, indicating that feces and associated nutrients settled quickly to the bottom sediments. By contrast, the two soda pans of the current study were very shallow, with a mean depth of 0.13 m and 0.19 m, respectively, which allowed for the continuous mixing of the water column. Therefore, feces and associated nutrients did not settle to the bottom sediments, which explains the significant positive correlation among the nutrient loading of waterbirds, TP and SRP.

The current study also demonstrated that the nutrient loading of waterbirds has an important role in soda pan phosphorus cycling, which was already suggested in a bird-free control investigation (Boros et al. 2008a). Our hypothesis was supported, as waterbirds significantly affected planktonic gross primary production in the studied soda pans, presumably as a consequence of the biological availability of their excrement. Despite the high nutrient (N, P) concentrations and high phytoplankton biomass, depth-integrated primary production was low due to limited light availability caused by extremely high turbidity and high CDOM concentration. In contrast to production, there was no significant correlation between the nutrient loading of waterbirds and planktonic respiration. Thus, this aspect of the hypothesis was not supported. The low Pro/Res in the colored pan was presumably caused by a high dissolved organic carbon concentration (polyhumic). A possible explanation for the difference of Pro/Res between the turbid and colored pans is variation in the decomposition of the bird excrement and surrounding macrophytes.

Table 4.

Spearman's rank correlation coefficients between Carbon (C), Nitrogen (N), and Phosphorus (P) loading of waterbird excrement and physical, chemical, and biological variables (*** P < 0.001, ** P < 0.01, * P < 0.05).



Data collection was supported by the Kiskunság National Park Directorate with a legal permission for conducting our research. We are grateful to the staff of the national park, who helped in our fieldwork, and to Naturglobe Ltd. for professional, technical and management support. Boglárka Somogyi was sponsored by the Bolyai János research fellow of the Hungarian Academy of Sciences. We thank Anett Rozália Kelemen and Balázs Németh for the laboratory measurements, and Verner Peter Bingman and Károly Pálffy for the English editing. Our methods meet all ethical guidelines for the use of wild birds in research, as stipulated by the standards and policies of Hungary.

Literature Cited


Boros, E., Sz. Bánfi and L. Forró. 2006a. Anostracans and microcrustaceans as potential food sources of waterbirds on sodic pans of the Hungarian plain. Hydrobiologia 567: 341–349. Google Scholar


Boros, E., S. Andrikovics, B. Kiss and L. Forró. 2006b. Feeding ecology of migrating waders (Charadrii) at sodic-alkaline pans, in the Carpathian Basin. Bird Study 53: 86–91. Google Scholar


Boros, E., T. Nagy, Cs. Pigniczki, L. Kotymán, K. V.-Balogh and L. Vörös. 2008a. The effect of aquatic birds on the nutrient load and water quality of soda pans in Hungary. Acta Zoologica Academiae Scientiarum Hungaricae 54 (Supplement 1): 207– 224. Google Scholar


Boros, E., L. Forró, G. Gere, O. Kiss, L. Vörös and S. Andrikovics. 2008. The role of aquatic birds in the regulation of trophic relationships of continental soda pans in Hungary. Acta Zoologica Academiae Scientiarum Hungaricae 54 (Supplement 1): 189–206. Google Scholar


Boros, E., Z. Ecsedi and J. Oláh (Eds.). 2013. Ecology and management of soda pans in the Carpathian Basin. Hortobágy Environmental Association, Balmazújváros, Hungary. Google Scholar


Boros, E., Zs. Horváth, G. Wolfram and L. Vörös. 2014. Salinity and ionic composition of the shallow astatic soda pans in the Carpathian Basin. Annales de Limnologie - International Journal of Limnology 50: 59–69. Google Scholar


Brian, E. J., W. D. Grant, A. W. Duckworth and G. G. Owenson. 1998. Microbial diversity of soda lakes. Extremophiles 2: 191–200. Google Scholar


British Ornithologists' Union. 2013. The British list: a checklist of birds of Britain, 8th ed. Ibis 155: 635–676. Google Scholar


Cornell, L. P. and D. M. Klarer. 2008. Patterns of dissolved oxygen, productivity and respiration in Old Woman Creek Estuary, Erie County, Ohio during low and high water conditions. Ohio Journal of Science 108: 31–43. Google Scholar


Cuthbert, I. D. and P. del Giorgio. 1992. Toward a standard method of measuring colour in freshwater. Limnology and Oceanography 37: 1319–1326. Google Scholar


del Giorgio, P. A. and R. H. Peters. 1993. Balance between phytoplankton production and plankton respiration in lakes. Canadian Journal of Fisheries and Aquatic Sciences 50: 282–289. Google Scholar


del Giorgio, P. A. and R. H. Peters. 1994. Patterns in planktonic P:R ratios in lakes: influence of lake trophy and dissolved organic C. Limnology and Oceanography 39: 772–787. Google Scholar


del Giorgio, P. A. and P. J. le B. Williams. 2005. Respiration in aquatic ecosystems. Oxford University Press, Oxford, U.K. Google Scholar


Eaton, A. D., L. S. Clesceri and A. E. Greenberg. 1995. Standard methods for the examination of water and wastewater, 19th ed. American Public Health Association, Washington, D.C. Google Scholar


Environmental Systems Research Institute (ESRI). 2013. ESRI ArcMap GIS software v. 10.2 for Desktop, ESRI, Redlands, California,, accessed 30 July 2013. Google Scholar


Gould, D. J. and M. R. Fletcher. 1978. Gull droppings and their effects on water quality. Water Research 12: 665–762. Google Scholar


Green, A. J. and J. Elmberg. 2013. Ecosystem services provided by waterbirds. Biological Reviews 89: 105–122. Google Scholar


Hahn, S., S. Bauer and M. Klaassen. 2008. Quantification of allochthonous nutrient input into freshwater bodies by herbivorous waterbirds. Freshwater Biology 53: 181–193. Google Scholar


Hanson, P. C., D. L. Bade, S. R. Carpenter and T. K. Kratz. 2003. Lake metabolism: relationships with dissolved organic carbon and phosphorus. Limnology and Oceanography 48: 1112–1119. Google Scholar


Horváth, Zs., Cs. F. Vad, L. Vörös and E. Boros. 2013. The keystone role of anostracans and copepods in European soda pans during the spring migration of waterbirds. Freshwater Biology 58: 430–440. Google Scholar


Kear, J. 1963. The agricultural importance of wild goose droppings. Pages 72–77 in The Wildfowl Trust Fourteenth Annual Report, Slimbridge, U.K. Google Scholar


Manny, B. A., W. C. Johnson and R. G. Wetzel. 1994. Nutrient additions by waterfowl to lakes and reservoirs: predicting their effects on productivity and water quality. Hydrobiologia 279–280: 121–132. Google Scholar


Marion, L., P. Clergeau, L. Brient and G. Bertru. 1994. The importance of avian-contributed nitrogen (N) and phosphorus (P) to Lake Grand-Lieu, France. Hydrobiologia 279–280: 133–147. Google Scholar


Menzel, D. H. and N. Corwin. 1965. The measurement of total phosphorus in seawater based on the liberation of organically bound fractions by persulfate oxidation. Limnology and Oceanography 10: 280–282. Google Scholar


Murphy, J. and J. P. Riley. 1962. A modified single solution method for the determination of phosphate in natural waters. Analytica Chimica Acta 27: 31–36. Google Scholar


Oláh, J. 2003. Waterbird trophic guilds. Hungarian Waterfowl Publication 10: 381–423. (In Hungarian with English summary). Google Scholar


Organization for Economic Cooperation and Development (OECD). 1982. Eutrophication of waters. Monitoring, assessment and control. Unpublished report, OECD Cooperative Programme on Monitoring of Inland Waters (Eutrophication Control), Environment Directorate, OECD, Paris, France. Google Scholar


OriginLab. 2015. Origin: data analysis and graphing software v. 9.2. OriginLab, Northampton, Massachusetts., accessed 24 October 2014. Google Scholar


Özbay, H. 2015. The effects of bird exclusion on the chemical and biological characteristics of a soda lake. International Journal of Aquatic Science 6: 3–10. Google Scholar


Post, D. M., J. P. Taylor, J. F. Kitchell, M. H. Olson, D. E. Schindler and B. R. Herwig. 1998. The role of migratory waterfowl as nutrient vectors in a managed wetland. Conservation Biology 12: 910–920. Google Scholar


Reynolds, C. S. 1984. The ecology of freshwater phytoplankton. Cambridge University Press, Cambridge, U.K. Google Scholar


Sorokin, D.Y., T. Berben, E. Denise, M. L. Overmars, C. D. Vavourakis and G. Muyzer. 2014. Microbial diversity and biogeochemical cycling in soda lakes. Extremophiles 18: 791–809. Google Scholar


Unckless, R. L. and J. C. Makarewicz. 2007. The impact of nutrient loading from Canada Geese (Branta canadensis) on water quality, a mesocosm approach. Hydrobiologia 586: 393–401. Google Scholar


Urabe, J., T. Yoshida, T. B. Gurung, T. Sekino, N. Tsugeki, K. Nozaki, M. Maruo, E. Nakayama and M. Nakanishi. 2005. The production-to-respiration ratio and its implication in Lake Biwa, Japan. Ecological Research 20: 367–375. Google Scholar


V.-Balogh, K., B. Németh and L. Vörös. 2009. Specific attenuation coefficients of optically active substances and their contribution to the underwater ultraviolet and visible light climate in shallow lakes and ponds. Hydrobiologia 632: 91–105. Google Scholar


V.-Balogh, K., B. Németh and L. Vörös. 2010. Szervesanyagok magyarországi fehér vizű szikes tavakban. Acta Biologica Debrecina, Supplementum Oecologica Hungarica 22: 75–86. (In Hungarian). Google Scholar


Vollenweider, R. A. 1969. A manual on methods for measuring primary production in aquatic environments. IBP Handbook No. 12, Blackwell Scientific Publications, Oxford, U.K. Google Scholar


Vörös, L., B. Somogyi and E. Boros. 2008. Birds cause net heterotrophy in shallow lakes. Acta Zoologica Academiae Scientiarum Hungaricae 54 (Supplement 1): 23–34. Google Scholar


Wetzel, R. G. and G. E. Likens. 1991. Limnological analysis, 2nd ed. Springer-Verlag, New York, New York. Google Scholar


Zavarzin, G. A. 1993. Epicontinental soda lakes as probable relict biotopes of terrestrial biota formation. Microbiology 62: 473–479. Google Scholar
Emil Boros, Csaba Pigniczki, Tamás Sápi, Katalin V.-Balogh, Lajos Vörös, and Boglárka Somogyi "Waterbird-Mediated Productivity of Two Soda Pans in the Carpathian Basin in Central Europe," Waterbirds 39(4), 388-401, (1 December 2016).
Received: 20 January 2016; Accepted: 1 August 2016; Published: 1 December 2016
colored pan
Ramsar sites
turbid pan
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