Seasonal exploration of water quality and bioindicators of an agricultural irrigation and drinking water reservoir: Armağan Dam Lake, Kırklareli, Türkiye
Categoria dell'articolo: Original Research Papers
Pubblicato online: 19 set 2025
Pagine: 212 - 226
Ricevuto: 13 mag 2025
Accettato: 29 lug 2025
DOI: https://doi.org/10.26881/oahs-2025.1.17
Parole chiave
© 2025 Gazel Burcu Aydin et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The global human population is steadily rising, intensifying the demand for water across industrial, agricultural, and domestic sectors. Despite the fixed quantity of freshwater resources worldwide, climate change, primarily driven by accelerating global warming, continues to reduce available water and degrade water quality. In response to growing water needs, dam lakes have been constructed as freshwater reservoirs. Like elsewhere in the world, Türkiye has numerous dam lakes serving various purposes, including drinking water supply, irrigation, industrial usage, and flood control. Consequently, the sustainability of these reservoirs is becoming increasingly critical.
Similar to other aquatic ecosystems, dam lakes possess dynamic structures and trophic networks initiated by primary producers. Phytoplankton, which are primary producers, support zooplankton populations, which in turn serve as prey for invertebrate aquatic organisms. Together, these communities maintain the ecological balance of freshwater systems (Chi et al., 2023). Hence, sustaining a dam lake depends not only on quantity and quality of water but also on its biological diversity.
This study examines the water quality of Armağan Dam Lake, located in Türkiye’s Thrace Region, through seasonal monitoring, while also assessing the sustainable use of key aquatic organism groups. Although the Thrace region comprises a small portion of the country’s land area, it stands out as one of Türkiye’s leading agricultural zones in terms of productivity and yield per unit area, hosting 11 dam lakes (Tokatlı, 2020). Armağan Dam Lake serves as an essential resource for irrigation and drinking water and supports local fisheries, with species such as carp and gray mullet contributing to regional livelihoods. While several studies have examined water quality in other dam lakes across the Thrace region (Güher et al., 2022; Tokatlı, 2019, 2020, 2021, 2022; Tokatlı et al., 2017), no prior research has comprehensively analyzed both water quality and biodiversity within Armağan Dam Lake. Accordingly, this study conducted seasonal monitoring over 1 year and performed statistical evaluations on the collected data.
Armağan Dam Lake was established in 1986 on the Kocadere Stream, 26 km north of Kırklareli city center (Fig. 1). The dam lake has a lake area of 3 km2, stores volume of approximately 52 hm3, and provides irrigation services to 5.623 ha. In this study, three stations that best represent the dam lake were selected (Station 1: the deepest point of the lake, Station 2: the middle of the lake, Station 3: the shallowest point of the lake; Fig. 1), and water samples were taken from these selected stations seasonally (spring summer, autumn, and winter). Additionally, phytoplankton, zooplankton, and benthic macroinvertebrate samples were collected simultaneously with water sampling at the stations. At the field area, temperature, pH, conductivity, salinity, total dissolved solids (TDS), and dissolved oxygen (DO) values were measured in the lake water using the ORION STAR S/N 610541(Thermo Scientific Orion Star A214) brand multiparameter device. The light permeability was determined with a Secchi disk (20 cm × 20 cm) at each station.

The sampling stations.
To measure the concentrations of chlorophyll-
For qualitative sampling, a simple plankton mesh net (25 cm mouth diameter, 75 cm length, and 25-μm spacing), for quantitative sampling (up to the surface from the bottom), a Hensen-type plankton net (mesh size 55 μm, mouth diameter 15 cm, and length 75 cm) were used. The collected materials were put into 250 mL plastic bottles containing 4% formaldehyde, labeled, and brought to the laboratory. Edmondson’s (1959) method was used to count zooplankton samples. For this purpose, plankton samples in 250 mL plastic bottles were shaken well to make them homogeneous. Five milliliters of the sample was taken with a 10 mL pipette and was placed in the counting container. All organisms were counted under an inverted microscope. This process was repeated three times to determine the average number of individuals in 5 mL. The literature used for the zooplanktonic samples at the species level was Flössner (1972), Herzig (1987), Ejsmont-Karabin et al. (2004), Dussart and Defaye (2002, 2006), Segers (2008), and Błędzki and Rybak (2016).
Water samples were collected using a 2 L Nansen water sampler from the surface, 3 m, 5 m, 10 m, and 20 m depths at Stations 1 and 2, and from the surface, 3 m, 5 m, and 10 m depths at Station 3. The samples were transported to the laboratory in light-proof glass bottles. Plankton samples were also taken horizontally from each station using a plankton scoop with a mouth diameter of 25 cm and a pore size of 55 μm. The samples were first agitated, poured into 50-mL graduated cylinders, and allowed to settle for at least 24 hr. At the end of the settling period, 45 mL of water was aspirated from each graduated cylinder. The remaining 5 mL of water was poured into a small glass vial for microscopic analysis. The counts were made for the water in the counting tubes using an Zeiss Axio Observer 5 inverted microscope following standard protocols as described by Utermöhl (1958). Phytoplankton samples were identified with a light microscope, and their photographs were taken. The literature used for the phytoplanktonic samples at the species level was Anagnostidis & Komárek (1988), Hartley (1996), Krammer (2003), John et al. (2003), and Tsarenko et al. (2006).
Sediment samples taken using Van Veen Bager with an area of 260 cm2 twice at each station were passed through a series of sieves with different mesh sizes (1.19, 0.595, and 0.297 mm, respectively). The material remaining on the sieve was fixed in 250 cc plastic containers containing 70% alcohol and brought to the laboratory. In addition to qualitatively determining the benthic macroinvertebrate fauna, mud samples were taken from random areas with hand-mud scoops and passed through sieves, and the resulting benthic material was fixed in 250 cc plastic containers containing 70% alcohol and brought to the laboratory. The samples were examined under a binocular microscope. The literature used for the macrozoobenthic samples at the species level was Soós (1968), Brinkhurst (1971), Pinder and Reiss (1983), Milligian (1997), Epler (2001), Schmelz and Collado (2010), Picazo et al. (2010), and Hacet et al. (2010).
The Shannon–Wiener diversity index was used to assess species diversity; the Bray–Curtis similarity index was used to compare sampling stations and seasons regarding physicochemical properties and the dynamics of zooplankton, phytoplankton, and benthic macroinvertebrates; canonical correlation analysis (CCA) was used to examine the correlation between zooplankton, phytoplankton, and benthic macroinvertebrates (most abundant species included in the CCA analyses for each group) and environmental factors. Heavy Metal Pollution Index (HPI; Mohan et al., 1996) and Metal Index (MI; Tamasi & Cini, 2004) were used to assess the impact of metal element pollution. To determine if the Armağan Dam Lake water is suitable for irrigation, the average concentrations of K, Mg, Na, and Ca over four seasons were analyzed. These averages were used to evaluate the lake’s suitability for irrigation based on sodium percentage (%Na), sodium absorption rate (SAR), magnesium rate (MgR), and Kelly index (KI) (Balamurugan et al., 2020; Madhav et al., 2018). Additionally, water suitability for drinking was assessed according to World Health Organization (WHO) standards (WHO, 2024), and water quality was classified according to the Surface Water Quality Management Regulation (SWQMR) standards (SWQMR 2015).
The analysis results of the water samples were averaged by station, and the values were evaluated according to water quality classes as outlined in the SWQMR (Turkish Regulations, 2015), as shown in Table 1. The values of pH (7.98), DO (8.18 mg · L−1), conductivity (379.55 μS · cm−1), TDSs (187 mg · L−1), and water temperature (19°C) were found to be in Class I water quality; the salinity values were at permissible freshwater values (0.2‰–0.29‰) (Table 1). The nutrient salts, nitrate (0.95 mg · L−1) and sulfate (7.01 mg · L−1), were found to be in Class I water quality. However, nitrite (0.07 mg · L−1) was in Class III water quality, and phosphate (0.33 mg · L−1) was in Class II water quality (Table 1). All of the values belonging to the elements were recorded in Class I water quality values (B: 5.1 μg · L−1; Al: 5 μg · L−1; Cr: 0.1 μg · L−1; Mn: 0.9 μg · L−1; Fe: 3.9 μg · L−1; Co: 0.04 μg · L−1; Ni: 1 μg · L−1; Cu: 1.5 μg · L−1; Zn: 7.6 μg · L−1; As: 1.3 μg · L−1; Cd: 0.1 μg · L−1; Se: 0.5 μg · L−1; Pb: 0.9 μg · L−1) (Table 1). The average chlorophyll-
The seasonal average values of physical and chemical variables measured at the stations, SWQMR water quality classes, WHO permissible limits, and irrigation water suitability
Parameter | St. 1 | St. 2 | St. 3 | Average | Water quality class (SWQMR) | Permissible limit (WHO) |
---|---|---|---|---|---|---|
pH | 7.83 | 8.07 | 8.05 | 7.98 | I | 8.2–8.8 |
DO/mg · L−1 | 8.2 | 8.27 | 8.08 | 8.18 | I | - |
Conductivity/μS · cm−1 | 509.25 | 314.73 | 314.68 | 379.55 | I | 400 μS · cm−1 |
Salinity/‰ | 0.29 | 0.2 | 0.2 | 0.23 | - | - |
TDS/mg · L−1 | 251.38 | 153.73 | 155.88 | 187 | I | 1000 mg · L−1 |
18.88 | 18.83 | 19.3 | 19 | I | - | |
Light transparency/cm | 446.25 | 542.5 | 410 | 466.25 | - | - |
Chlorophyll- |
2.46 | 2.44 | 1.79 | 2.23 | - | - |
Fluoride/mg · L−1 | 0.16 | 0.08 | 0.11 | 0.12 | I | 0.5 mg · L−1 |
Chloride/mg · L−1 | 17.93 | 4.01 | 4.02 | 8.65 | - | 700 mg · L−1 |
Nitrite/mg · L−1 | 0.1 | 0.06 | 0.06 | 0.07 | III | 3 mg · L−1 |
Nitrate/mg · L−1 | 1.25 | 0.84 | 0.75 | 0.95 | I | 50 mg · L−1 |
Sulfate/mg · L−1 | 5.34 | 7.82 | 7.87 | 7.01 | I | 250 mg · L−1 |
Phosphate/mg · L−1 | 0 | 0.76 | 0.24 | 0.33 | II | - |
Element | St. 1 | St. 2 | St. 3 | Average | Water quality class (SWQMR) | Permissible limit (WHO) |
---|---|---|---|---|---|---|
B/μg · L−1 | 11.61 | 1.98 | 1.83 | 5.1 | I | 2.4 mg · L−1 |
Al/μg · L−1 | 5 | 3 | 8 | 5 | I | 0.1 mg · L−1 |
Cr/μg · L−1 | 0.25 | 0.04 | 0.02 | 0.1 | I | 0.05 mg · L−1 |
Mn/μg · L−1 | 0.97 | 1.07 | 0.55 | 0.9 | I | 0.05 mg · L−1 |
Fe/μg · L−1 | 4.72 | 2.28 | 4.65 | 3.9 | I | 0.1 mg · L−1 |
Co/μg · L−1 | 0.06 | 0.04 | 0.03 | 0.04 | I | - |
Ni/μg · L−1 | 1.75 | 0.73 | 0.62 | 1 | I | 0.07 mg · L−1 |
Cu/μg · L−1 | 2.38 | 1.14 | 0.87 | 1.5 | I | 2 mg · L−1 |
Zn/μg · L−1 | 17.25 | 2.87 | 2.73 | 7.6 | I | 3 mg · L−1 |
As/μg · L−1 | 1.27 | 1.35 | 1.32 | 1.3 | I | 0.01 mg · L−1 |
Se/μg · L−1 | 0.47 | 0.56 | 0.4 | 0.5 | I | 0.04 mg · L−1 |
Cd/μg · L−1 | 0.28 | 0.02 | 0.01 | 0.1 | I | 0.003 mg · L−1 |
Ag/μg · L−1 | 0.07 | 0.02 | 0.01 | 0.03 | - | - |
Pb/μg · L−1 | 1.11 | 0.82 | 0.68 | 0.9 | I | 0.01 mg · L−1 |
Na/mg · L−1 | 6.84 | 5.79 | 5.85 | 6.16 | - | 250 mg · L−1 |
Mg/mg · L−1 | 13.56 | 14.35 | 14.24 | 14.05 | - | 50 mg · L−1 |
K/mg · L−1 | 52.31 | 1.35 | 2.97 | 18.88 | - | 12 mg · L−1 |
Ca/mg · L−1 | 19.07 | 20.09 | 19.13 | 19.43 | - | 75 mg · L−1 |
Irrigation Water Indexes | St. 1 | St. 2 | St. 3 | Average | Suitability for irrigation | |
---|---|---|---|---|---|---|
SAR | 3.46 | 4.17 | 4.09 | 3.88 | Excellent | |
KI | 1.75 | 2.18 | 2.09 | 1.99 | Marginally suitable | |
MgR | 45.83 | 45.6 | 44.6 | 45.45 | Suitable | |
%Na | 77.6 | 571.3 | 293.63 | 103.3 | Unfit |
DO, dissolved oxygen; KI, Kelly index; MgR, magnesium rate; SAR, sodium absorption rate; SWQMR, Surface Water Quality Management Regulation; TDS, total dissolved solids; WHO, World Health Organization.
According to the suitability of irrigation water, the SAR and the MgR indices showed that Armağan Dam Lake was suitable for irrigation. However, the KI values were marginally suitable, and the %Na Index was unfit for irrigation (Table 1) (Balamurugan et al., 2020; Madhav et al., 2018). According to the WHO, the permissible ‘K’ value in drinking water is 12 mg · L−1 (Table 1) (WHO, 2024). According to the results of this study, the value exceeded the permissible limit (18.88 mg · L−1) (Table 1). In this context, the fact that it is not suitable for irrigation according to the %Na Index result suggests that it may be due to the ‘K’ value used in the index calculation.
The results of HPI showed that the water of the Armağan Dam Lake is safe for drinking and is not polluted with determined elements (Table 2). According to the MI, the dam water is at Class I (very pure) values in terms of heavy metals. However, in autumn, the water is at Class II (pure) level (Table 3).
The HPI results according to seasons
Wi × Qi | ||||
---|---|---|---|---|
Element | Spring | Summer | Autumn | Winter |
As | 0.47108 | 0.44218 | 0.38367 | 0.4405 |
Cu | 0.00225 | 0.0023 | 0.00208 | 0.0023 |
Zn | 0.0003 | 0.0003 | 0.0003 | 0.0003 |
Cd | 30 | 30 | 29.5 | 26.42 |
Ni | 0.57143 | 0.57143 | 0.47952 | 0.54771 |
Pb | 0 | 0.021 | 2.70333 | 0.52067 |
HPI (Ʃ Wi × Qi) | 92.68 | 92.65 | 98.72 | 83.38 |
HPI >100 = It shows that the water is polluted with heavy metals.
HPI <100 = It shows that the water is safe for drinking and is not polluted with heavy metals.
HPI, Heavy Metal Pollution Index.
The MI results according to seasons
MI | ||||
---|---|---|---|---|
Element | Spring | Summer | Autumn | Winter |
As | 0.01157 | 0.02313 | 0.04653 | 0.0238 |
Cu | 0.00077 | 0 | 0.00311 | 0 |
Zn | 0.00044 | 0 | 0.0016 | 0 |
Cd | 0 | 0 | 0.01667 | 0.11933 |
Ni | 0 | 0 | 0.16083 | 0.0415 |
Pb | 0 | 0.0021 | 0.27033 | 0.05207 |
ƩMI | 0.01277 | 0.02523 | 0.49907 | 0.2367 |
MI <0.3 Class I (very pure).
MI = 0.3–1 Class II (pure).
MI = 1–2 Class III (slightly affected).
MI = 2–4 Class IV (moderately affected).
MI = 4–6 Class V (strongly affected).
MI >6 Class VI (seriously affected).
MI, Metal Index.
The Bray–Curtis Similarity index results showed >80% similarity degree among the stations according to physicochemical features (Fig. 2). Accordingly, while Stations 2 and 3 were a cluster, Station 1 constituted the second cluster (Fig. 2). The reason for the difference is that Station 1 differs from the others because it accumulates behind the dam embankment.

The similarity dendrogram of the stations according to physicochemical features.
When studies on other dam lakes in the Thrace region are examined, the Armağan Dam Lake has cleaner water quality than the others. Tokatlı et al. (2017) studied at Sultanköy, Altınyazı, Süloğlu, and Kadıköy dams on physicochemical variables, and all the investigated reservoirs have Classes I–II. Class water quality in terms of electrical conductivity (EC), TDS, nitrate, sulfate, phosphate, and chemical oxygen demand (COD) parameters; Sultanköy, Altınyazı, and Kadıköy Dam Lakes have III. Class water quality in terms of nitrite parameter; Süloğlu and Sultanköy Dam Lakes have IV. Class water quality in terms of pH parameter; and Altınyazı and Kadıköy Dam Lakes have IV. Class water quality in terms of total organic carbon parameter (Tokatlı et al., 2017). Tokatlı (2020) determined the element pollution of Altınyazı, Karaidemir, Kayalıköy, Kırklareli, Sultanbey, and Süloğludams. As a result of the study, the ‘Se’ limit of the dams exceeds the acceptable limit (Tokatlı, 2020). Tokatlı (2021) studied irrigation water quality in Altınyazı, Karaidemir, Kayalıköy, Kırklareli, Sultanbey, and Süloğlu dams, and the investigated reservoirs were found to be suitable for use as irrigation water, in general.
A total of 51 zooplankton species were recorded (12 from
The distribution of zooplanktonic organisms in the Armağan Dam Lake according to the seasons (individuals · m−3)
Autumn | Winter | Spring | Summer | |
---|---|---|---|---|
0 | 0 | 0 | 318 | |
0 | 0 | 0 | 1752 | |
0 | 0 | 0 | 425 | |
106 | 0 | 0 | 637 | |
318 | 0 | 0 | 796 | |
1274 | 531 | 2389 | 584 | |
0 | 265 | 0 | 212 | |
425 | 0 | 106 | 106 | |
0 | 0 | 0 | 106 | |
0 | 53 | 53 | 372 | |
0 | 0 | 0 | 159 | |
0 | 0 | 0 | 106 | |
0 | 0 | 0 | 106 | |
159 | 0 | 0 | 159 | |
53 | 0 | 159 | 372 | |
0 | 0 | 53 | 372 | |
0 | 0 | 0 | 159 | |
0 | 0 | 0 | 106 | |
Nauplius | 425 | 159 | 902 | 1911 |
265 | 212 | 106 | 1115 | |
53 | 0 | 0 | 584 | |
0 | 0 | 0 | 53 | |
0 | 0 | 0 | 212 | |
0 | 53 | 0 | 212 | |
0 | 0 | 0 | 265 | |
4565 | 1274 | 0 | 3609 | |
478 | 0 | 3981 | 4459 | |
0 | 0 | 4618 | 2866 | |
478 | 0 | 1168 | 106 | |
0 | 0 | 2017 | 0 | |
53 | 0 | 53 | 53 | |
0 | 0 | 1911 | 902 | |
0 | 0 | 0 | 53 | |
478 | 0 | 0 | 0 | |
0 | 0 | 159 | 159 | |
106 | 0 | 0 | 53 | |
1062 | 106 | 2601 | 2176 | |
0 | 0 | 53 | 106 | |
0 | 0 | 212 | 106 | |
0 | 0 | 0 | 53 | |
159 | 53 | 0 | 637 | |
159 | 0 | 212 | 53 | |
0 | 0 | 106 | 106 | |
0 | 0 | 106 | 0 | |
0 | 0 | 1911 | 53 | |
53 | 0 | 6104 | 478 | |
53 | 0 | 1592 | 106 | |
0 | 0 | 0 | 1062 | |
0 | 0 | 1592 | 796 | |
0 | 0 | 0 | 265 | |
0 | 0 | 2017 | 3025 | |
Zooplanktonic organisms play an indicator role in determining water quality, eutrophication, and water pollution levels (Saksena, 1987; Sládeček, 1983).
In the CCA, the eigenvalues of the first two axes were calculated as 0.3793 and 0.1968, respectively. In the analysis, the two axes explain 97.95% of the variance of the species, 64.48% (Axis 1) and 33.47% (Axis 2) (Fig. 3). According to CCA, the distribution of

CCA between physicochemical variables and zooplankton taxa. CCA, canonical correlation analysis.
A total of 58 phytoplankton species were recorded (37 from Bacillariophyta, 2 from Charophyta, 5 from Chlorophyta, 6 from Cyanobacteria, 3 from Heterokontophyta, and 5 from Miozoa), and 9276 individuals · mL−1 phytoplanktonic organisms were found on average per year in the dam lake. The highest number of organisms was found in Station 1 (10 563 org. · mL−1), followed by Station 2 (10 035 org. · mL−1) and Station 3 (7231 org. · mL−1) (Table 5). According to the seasonal distribution of phytoplanktonic organism groups, the highest number of organisms was found in spring (11 655 org. · mL−1), followed by summer (11 503 org. · mL−1) and autumn (10 702 org. · mL−1). The lowest number of organisms was found in the lake phytoplankton during winter months (3245 org. · mL−1). In freshwater habitats, with the warming of the weather in spring and the increase in nutrient salts, an increase in phytoplanktonic organisms occurs first. Accordingly, an increase is also seen in the number of zooplanktonic organisms that use phytoplanktonic organisms as food. However, in Armağan Dam Lake, the values are close to each other, and the highest number of organisms was found in spring and summer seasons. Relatively high species and organism numbers were also reached in the autumn season.
The distribution of phytoplanktonic organisms in the Armağan Dam Lake according to the stations (individuals · mL−1)
Station 1 | Station 2 | Station 3 | |
---|---|---|---|
131 | 157 | 142 | |
10 | 3 | 14 | |
13 | 13 | 6 | |
26 | 21 | 0 | |
44 | 60 | 38 | |
325 | 227 | 172 | |
44 | 60 | 45 | |
33 | 34 | 10 | |
32 | 39 | 19 | |
14 | 23 | 18 | |
632 | 701 | 341 | |
1097 | 897 | 694 | |
8 | 10 | 3 | |
11 | 13 | 44 | |
15 | 10 | 23 | |
71 | 23 | 0 | |
4 | 0 | 0 | |
12 | 15 | 15 | |
23 | 10 | 0 | |
0 | 8 | 7 | |
0 | 6 | 0 | |
8 | 0 | 14 | |
142 | 132 | 98 | |
279 | 190 | 153 | |
3 | 1 | 10 | |
1 | 1 | 11 | |
90 | 98 | 42 | |
12 | 4 | 8 | |
2 | 11 | 0 | |
1 | 1 | 3 | |
0 | 17 | 13 | |
53 | 59 | 0 | |
8 | 21 | 0 | |
3 | 4 | 0 | |
458 | 420 | 347 | |
49 | 45 | 29 | |
34 | 39 | 45 | |
10 | 7 | 0 | |
11 | 10 | 7 | |
7 | 6 | 3 | |
448 | 304 | 224 | |
39 | 25 | 4 | |
48 | 29 | 8 | |
4033 | 4076 | 2675 | |
463 | 337 | 297 | |
233 | 93 | 93 | |
54 | 62 | 46 | |
113 | 128 | 83 | |
69 | 25 | 19 | |
871 | 1082 | 1082 | |
286 | 191 | 172 | |
10 | 10 | 4 | |
18 | 1 | 8 | |
5 | 13 | 22 | |
2 | 0 | 1 | |
3 | 4 | 2 | |
108 | 186 | 81 | |
50 | 75 | 34 | |
In the CCA, the eigenvalues of the first two axes were calculated as 0.019 and 0.014, respectively. In the analysis, the two axes explain 91.76% of the variance of the species, 53.47% (Axis 1) and 38.29% (Axis 2) (Fig. 4). According to CCA, the distribution of

CCA between physicochemical variables and phytoplankton taxa. CCA, canonical correlation analysis.
A total of 34 benthic macroinvertebrate species were recorded, and 1205 individuals · m−2 benthic macroinvertebrates were found on average per year in the dam lake. In the seasonal distribution of benthic macroinvertebrate groups, the highest number of organisms was found in the summer season (3228 individuals · m−2), followed by spring (584 individuals · m−2), winter (577 individuals · m−2), and autumn (429 individuals · m−2) seasons (Table 6).
The distribution of benthic macroinvertebrates in the Armağan Dam Lake according to the seasons (individuals · m−2)
Taxa | Spring | Summer | Autumn | Winter |
---|---|---|---|---|
7 | 0 | 0 | 0 | |
Nematoda | 0 | 0 | 0 | 37 |
Mollusca | ||||
59 | 215 | 22 | 0 | |
0 | 30 | 0 | 0 | |
0 | 1000 | 156 | 474 | |
296 | 348 | 178 | 0 | |
0 | 133 | 0 | 0 | |
Glossiphoniidae | 7 | 15 | 0 | 0 |
Ephemeroptera | ||||
44 | 133 | 0 | 0 | |
22 | 74 | 0 | 0 | |
0 | 7 | 0 | 0 | |
Coenagrionidae | 0 | 7 | 0 | 0 |
Coleoptera (Larva) | 0 | 67 | 0 | 0 |
Ceratopogonoidae | 0 | 67 | 0 | 0 |
0 | 0 | 15 | 0 | |
0 | 7 | 7 | 22 | |
0 | 0 | 0 | 15 | |
0 | 0 | 0 | 22 | |
0 | 59 | 0 | 0 | |
0 | 37 | 7 | 0 | |
0 | 44 | 0 | 0 | |
30 | 0 | 0 | 0 | |
0 | 437 | 0 | 0 | |
0 | 0 | 7 | 0 | |
0 | 0 | 15 | 0 | |
15 | 0 | 0 | 0 | |
22 | 96 | 0 | 0 | |
0 | 141 | 0 | 0 | |
15 | 22 | 0 | 0 | |
22 | 15 | 0 | 0 | |
0 | 37 | 0 | 0 | |
0 | 111 | 0 | 0 | |
30 | 67 | 22 | 0 | |
15 | 59 | 0 | 7 | |
In the CCA, the eigenvalues of the first two axes were calculated as 0.3388 and 0.1093, respectively. In the analysis, the two axes explain 99.79% of the variance of the species, 75.44% (Axis 1) and 24.35% (Axis 2) (Fig. 5). According to CCA, the distribution of

CCA between physicochemical variables and benthic macroinvertebrate taxa. CCA, canonical correlation analysis.
The species composition and numerical abundance of organisms showed that Armağan Dam Lake has an oligotrophic character. The Shannon–Wiener diversity index values supported it and were low for zooplankton, phytoplankton, and benthic macroinvertebrates (minimum H′ = 0.811; maximum H′ = 1.354) (Fig. 6).

The Shannon–Wiener diversity index distributions of zooplankton, phytoplankton, and benthic macroinvertebrate taxa according to the sampling stations.
According to the Bray–Curtis analysis index, the dynamism of zooplankton, phytoplankton, and benthic macroinvertebrates showed similarity in spring and autumn seasons (Fig. 7).

The similarity dendrogram of the seasons according to distributions of zooplankton, phytoplankton, and benthic macroinvertebrate taxa.
In this study, a year-long monitoring program was implemented to evaluate the seasonal dynamics of water quality and biodiversity in Armağan Dam Lake—a vital freshwater reservoir located in Türkiye’s Thrace region, irrigating 5562.3 ha of agricultural land, and supplying drinking water to surrounding communities. Water analyses revealed that the lake generally meets Class I water quality standards, as defined by both the SWQMR and the WHO. Although the lake poses no significant risk for irrigation use, future monitoring efforts should pay particular attention to potassium (‘K’) concentrations within the water. Biodiversity assessments were carried out by collecting phytoplankton and zooplankton samples from the water column and benthic macroinvertebrates from the sediment. According to the HPI and the MI, the lake water was found to be clean with minimal elemental accumulation. Quantitative analysis across all three aquatic organism groups revealed the presence of bioindicator species that signal pollution; however, biological index values were generally low. Collectively, the results indicate that Armağan Dam Lake exhibits the characteristics of an oligotrophic ecosystem. Given the increasing pressures on global water resources caused by population growth and climate change, continuous monitoring of freshwater reserves like this one is essential. This study presents 1 year of biological monitoring data for Armağan Dam Lake, contributing important insights into its sustainable management. We believe that such periodic monitoring plays a critical role in preserving the ecological integrity of Armağan Dam Lake, which appears to be cleaner than other regional dam lakes. Looking ahead, regular assessments should be conducted to determine the lake’s trophic status, track shifts in phytoplankton community composition, and identify toxin-producing Cyanobacteria species. As protective measures, we recommend systematic water sampling to regulate nutrient salt inputs and ongoing physical and chemical surveillance of the tributaries that feed the lake.