Estuaries and river mouths are transition zones between freshwater and marine habitats, significantly different (in terms of biotic and abiotic features) from rivers and seas. Environmental characteristics of these areas such as temperature salinity and turbidity vary daily and their parameters can reach much higher values compared to values in rivers or seas. Fluctuations in salinity, which result from mixing of river and sea water or extremely turbid water prevent the movement of many organisms between the sea and rivers. Nonetheless, the productivity in these areas is usually very high because of the increased nutrient input. In terms of primary production, pollution and anthropogenic eutrophication have been among the most prevailing forces within these transition zones (McLusky & Elliot 2004). The subsequent effects include severe hypoxia, harmful algal blooms and mass mortalities of fish and benthic organisms (Nesterova & Terenko 2007). It is therefore essential to understand these processes in order to raise awareness and to cope with their negative effects.
There are several bioecological studies investigating the variation, bloom dynamics and biological characteristics of the phytoplankton in the Black Sea (Bat et al. 2007; Baytut et al. 2010; Bologa 1986; Gomez & Boicenco 2004; Gomoiu 1992; Ivanov 1967; Mikaelyan 2008; Moncheva et al. 2002; Nesterova et al. 2008; Oğuz et al. 1996; Polikarpov et al. 2003; Sorokin 2002; Türkoğlu & Koray 2002; Uysal 1999) and in Kizilirmak River (Yıldız & Özkıran 1991; Hasbenli & Yildiz 1995; Dere & Sivaci 2003). To our knowledge, there have been no studies related to the temporal phytoplankton distribution in the transition zone between fresh and saline waters in the Black Sea. Therefore, this study aims to investigate the phytoplankton variation, the bloom dynamics of harmful species and the interactions with nutrients along the salinity gradient through a discharging area of the Kizilirmak River.
Water samples were collected monthly from 5 sites at a depth of 0.5 meter between July 2007 and December 2008 using a Hydro-Bios Free Flow Water Sampler (2.5 liters) (Figure 1). A plankton net with a 20 μm mesh size was also used to collect qualitative samples for the determination of rare species.
Both temperature and pH in samples were measured using a Consort C534 model analyzer. Air temperatures were provided by the Samsun Meteorological Station. Water transparency was determined by a Secchi disk. Salinity and density were determined by Eutech Cyberscan Con 11. Nutrients; nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), ammonium nitrogen (NH4-N), orthophosphate phosphorus (PO4-P) and silica (SiO2) were measured spectrophotometrically according to the standard methods (APHA 1995). Chlorophyll
Microscopic observations were conducted under a Prior phase-contrast inverted microscope, a Prior phase-contrast and Nikon E600 florescence microscope. Certain diatoms like
The PRIMER-E statistical package was used for ecometric analyses. A similarity matrix was defined according to the Bray-Curtis similarity method after the square-root transformation was applied on the phytoplankton abundance matrix. Agglomerative Hierarchical Cluster Analysis and an nMDS algorithm was performed and the results were plotted on the two-dimensional MDS configuration. ANOSIM, SIMPER, BVSTEP and BIOENV routines of the PRIMER-E package (Clarke & Warwick 2001) and CCA (Ter Braak 1986) were applied on the data sets to determine relationships between clusters of samples and environmental variables.
Temperature fluctuated throughout the sampling period between 4.60°C and 27.50°C (Fig. 2A). The highest temperatures were observed during summer, while the lowest in winter. The pH varied from nearly neutral (7.26 in August 2008) to slightly alkaline (9.20 in March 2008) (Fig. 2B). Water density was at higher levels in the summer period, while the lowest density was recorded in the rainy period, in winter and spring. It varied from 1.00053 g cm-3 to 1.0132 g cm-3 (Fig. 2C). The lowest conductivity was observed in April 2008 (1.09 mmhos cm-1) and the highest in July 2007 (34.00 mmhos cm-1; Fig. 2D).
The Secchi disk depth varied between 0.30 meter (N1 and N2, January 2008) and 10.50 meter (K2, August 2007) (Fig. 2E). Figure 2F shows the inorganic N:P ratio ranging from 0.13 (site A1, December 2008) to 37 (site N1, March 2008). The highest value (29.63) of the inorganic N:Si ratio (Fig. 2G) was observed at the inner river station (N1) in October 2008 while the lowest (0.13 at 10 meter depth) was determined at the coastal site (K1) in December 2008. The concentrations of Chl-
A total of 447 taxa belonging to the divisions; Cyanobacteria (24), Bacillariophyta (209), Bigyra (1), Cercozoa (1), Charophyta (11), Chlorophyta (29), Cryptophyta (10), Miozoa (118), Euglenozoa (14), Haptophyta (13), Ochrophyta (10) and Protozoa Incertae Sedis (2) were identified in the study area. Phytoplankton composition, potential harmful species and new records for the algal flora of Turkey were given in Table 1. Seventy five of the total number of taxa were determined to be new records for the Algal Flora of Turkey and 41 were found to be HAB (Harmful Algal Bloom) organisms. Phytoplankton consisted of 52% freshwater and 48% marine species. However, 40% of the total phytoplankton was represented by euryhaline and brackish water species.
The list of phytoplankton taxa identified in water samples from the transition zone of the Kızılırmak River mouth. Potentially harmful species are denoted by an asterisk. New records are given in bold. Species found in quantitative samples of hypothetical groups are given in parentheses as follows: Freshwater (A1), Brackish (A2), Early Spring-Marine (B), Marine (C)
Figure 3 shows the phytoplankton variation among the sampling sites. The highest cell concentration was measured at the inner river site (N1) and three peaks were observed from May to October 2008.
The agglomerative hierarchical cluster analysis and the MDS plot from the surface water abundance data revealed assemblages with a stress value of 0.15 (Fig. 4 A-E). Accordingly, assemblages in the MDS plot were consistent with those resulting from hierarchical cluster analysis. Samples were divided into four groups: “Freshwater”, “Brackish”, “Marine” and “Earlyspring-Marine” at 44% similarity level. The assemblages from the MDS plots and cluster dendrograms were confirmed by the ANOSIM procedure (Global R values are 0.858 for surface groups and 0.746 for subsurface groups).
The BIOENV procedure applied to the surface phytoplankton data revealed the best correlation coefficient (0.68) not only for one environmental variable but also for the density, Secchi Disc depth, NH3-N and silica. Figure 4(B-E) shows the effects of related parameters on the groups of samples in the MDS plot.
Temporal phytoplankton variation, distribution and interactions with environment were investigated at 5 sampling sites in the Kizilirmak River/Black Sea transition zone between July 2007 and December 2008.
During the sampling period, the sea and river water temperature varied between 4.60 and 27.50
Water samples in this study were consistent with the ratios declared by the European Commission and the inorganic N:P ratio varied during sampling period between 0.13 and 37.00 (European Commission 2002). Higher values were observed in the inner river (N1) and in the river-sea transition zone (N2). According to these findings, the phytoplankton production is limited by inorganic phosphorus in surface waters and by inorganic nitrogen in subsurface waters. The N:Si ratio was usually between 1 and 2 units in the healthy marine ecosystem and heterotrophic flagellates become dominant when it increases over 2 units (Roberts et al. 2003). Inorganic N:Si ratios ranged from 0.13 to 29.00 units. Diatom production was limited by higher inorganic N:Si values and the abundance of flagellates and cyanobacteria were dominant in the phytoplankton community.
Chlorophyll-
Surface phytoplankton composition, especially at the inner river (N1) and at the river mouth (N2) site, consisted mainly of freshwater and euryhaline taxa. Remaining species were typically coastal marine species. The freshwater species belonged to the divisions: Cyanobacteria, Charophyta, Chlorophyta, Euglenozoa and their most abundant representatives were
The sampling sites in the study area showed major differences in the phytoplankton abundance. For instance, phytoplankton abundance at the inner river site (N1) exceeded 1 × 106 cells l-1 in October, May and August, while it reached only 0.5 × 106 cells l-1 at the river-sea transition zone (N2) in October, March and August. Bacillariophyta was the dominant taxonomic group in the inner river and in the transition zone.
Temporal changes in the abundance were usually consistent with chlorophyll-
MDS and hierarchical cluster analyses revealed that there are four groups of samples. The results were tested and confirmed by ANOSIM in order to check the significance of differences between the groups of samples. These samples were divided into the following groups: “Freshwater”, “Brackish”, “Marine” and “Early spring-marine”. However, MDS and hierarchical cluster analyses of the subsurface phytoplankton abundance data, however, showed that the groups of samples varied according to the seasonal variation. Sample group A included the early spring samples (March and April), while group B1 comprised the late spring-early fall samples (from May to September). Group B2 included fall and winter samples (October and February) and group C comprised samples collected from July to August.
Reynolds (2006) reported that only 20-30 species succeed in the whole community even if resident taxa are represented by large numbers. Likewise, dissimilarities between groups of samples determined by the SIMPER routine and Spearman rank correlations performed on the data subsets (BVSTEP) revealed that 35 successful species were found in the phytoplankton community in spite of the 430 taxa identified in the Kizilirmak River/Black Sea transition zone. Some of them were typical eutrophic freshwater and marine diatom species in the surface water phytoplankton, except for a few eutrophic dinoflagellates. For instance, the diversity of
The BIOENV procedure revealed the Spearman rank correlations between the Bray-Curtis similarity matrix of the abundance data and Euclidean distance matrix of environmental parameters. Thus, the surface phytoplankton assemblages varied along the salinity gradient and the Secchi disc depth. Subsurface assemblages differed due to the water temperature and the N:P ratio. Flagellates (including Dinoflagellata) were reported to be able to bloom in eutrophic coastal waters in the Black Sea (Nesterova et al. 2008). There are, however, some differences in the phytoplankton dynamics between the findings from the study area and the studies from the whole Black Sea basin. The abundance of the coccolithophore
A total of 41 potentially harmful algal species were identified in the phytoplankton of the study area. Some of them were among succeeding species of the phytoplankton community. The abundance of harmful taxa in the study area becomes even more important in the context of the fact that only 300 taxa among the thousands of algal species form blooms able to change the color of seawater and 80 of them are toxic (Hallegraef 2004). It was noted that these events have recently increased worldwide due to anthropogenic eutrophication and the global climate change (Hallegraeff 2004). Some taxa may be harmful even when present in small numbers in the seawater. For instance; shellfish farms and fisheries activities must be closed in many parts of the world when the abundance of
This study provides new contributions to the algal flora of the Turkish Seas together with additional taxonomic and ecological investigations. A total of 71 new taxa and 41 potentially harmful taxa have been identified in this study for the first time. Taxonomic, physicochemical and statistical analyses have revealed that the predominance of heterotrophic and mixotrophic species instead of the autotrophic ones, as well as the increase in number of potentially HAB species and severe eutrophication contribute to an unstable system and pose a threat to the ecosystem and human health.