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Phytoplankton Composition of Bulancak Stream, Interpretation of Water Quality Based on Indices and Functional Groups

Year 2025, Volume: 8 Issue: 5, 702 - 712, 15.09.2025
https://doi.org/10.47115/bsagriculture.1761273

Abstract

This study aims to analyze the phytoplankton community of Bulancak Stream, determine the functional groups of dominant algae and reveal the ecological status of the stream with the help of indicator species. Phytoplankton samples were collected monthly from three stations between February 2018-January 2019 and environmental parameters were measured. Bacillariophyta is the dominant division, constituting 72% of the total abundance comprising 37 taxa. Cocconeis pediculus, Cymbella affinis and Ulnaria ulna species dominate at all stations. In the study, changes in the phytoplankton composition of Bulancak Stream were also examined with the most common diversity indices, Shannon Index, Simpson Index and Margalef Index and it was concluded that the species were equally distributed. The study identifies 15 functional phytoplankton groups that are commonly found in shallow and organically rich streams. To assess the water quality of Bulancak Stream, the Q(r) index developed for rivers was used in addition to the calculated WQI and the results were found to be consistent. According to both indices, the water quality at Station 1, which is close to the city center and empties into the sea was classified as moderate while the upstream stations were assessed as having good water quality.

Ethical Statement

Since no studies involving humans or animals were conducted, ethical committee approval was not required for this study.

References

  • Akkoyunlu A, Akiner ME. 2012. Pollution evaluation in streams using water quality indices: A case study from Türkiye's Sapanca Lake Basin. Ecol Indic 18: 501–511.
  • Bhatt JP, Manish K, Pandit MK. 2025. Diatom species assemblages and their environmental drivers in the major biogeographic provinces of India. Proc Indian Natl Sci Acad 1–11.
  • Borics G, Görgényi J, Grigorszky I, László-Nagy Z, Tóthmérész B, Krasznai E, Várbíró G. 2014. The role of phytoplankton diversity metrics in shallow lake and river quality assessment. Ecol Indic 45: 28–36.
  • Borics G, Várbíró G, Grigorszky I, Krasznaı E, Szabó S, Tıhamer Kıss K. 2007. A new evaluation technique of potamo-plankton for the assessment of the ecological status of rivers. Arch Hydrobiol 17(3–4): 465–486.
  • Burdis RM, Ward NK, Manier JT. 2025. Phytoplankton assemblage dynamics in relation to environmental conditions in a riverine lake. Aquat Ecol 1–19.
  • Çelekli A, Gümüş EY, Çetin T. 2025. Ecological assessment of lentic ecosystems in Ceyhan River Basin using phytoplankton indices. Turk J Bot 49(3): 176–191.
  • Çelekli A, Lekesiz H, Yavuzatmaca M. 2021. Bioassessment of water quality of surface waters using diatom metrics. Turk J Bot 45(5): 379–396.
  • Çelekli A, Lekesiz Ö, Çetin T. 2023. Eco-assessment of streams of Konya closed river basin (Türkiye) using various ecoregional diatom indices. Ecol Process 30(13): 36143–36159.
  • Çelik K. 2022. The phytoplankton ecology of Üzümcü Stream (Balikesir). JONAS 5(1): 57–64.
  • Chandel P, Mahajan D, Thakur K, Kumar R, Kumar S, Brar B, Sharma D, Sharma AK. 2024. A review on plankton as a bioindicator: A promising tool for monitoring water quality. Water Wastes Pollut 10(1): 213–232.
  • Cox EJ. 1996. Identification of freshwater diatoms from live material. Chapman and Hall, London, pp: 203–205.
  • Dalkıran N, Yoldaş B, Bulut C. 2024. Assessment of phytoplankton and water quality of Sarıyar, Gökçekaya and Yenice Dam Lakes (Eskişehir, Ankara). KSU J Agric Nat 27(4): 802–816.
  • D'Costa PM, Naik RK. 2019. Advances in sampling strategies and analysis of phytoplankton. Adv Biol Res 501–521.
  • Fakıoğlu Ö, Tanır ÖZ, Akyüz Z, Topal MF. 2023. Evaluation of the trophic status of Karasu River (Erzincan, Türkiye) by biodiversity indices. Erzincan Univ J Sci Tech 16(1): 273–285.
  • Gao W, Xiong F, Lu Y, Xin W, Wang H, Feng G, Kong C, Fang L, Gao X, Chen Y. 2024. Phytoplankton community structure in Tunda Island waters, Banten Indonesia as a bioindicator to measure water quality. Ecol Process 13(1): 11.
  • Gasiūnaitė ZR, Cardoso AC, Heiskanen AS, Henriksen P, Kauppila P, Olenina I, Wasmund N. 2005. Seasonality of coastal phytoplankton in the Baltic Sea: influence of salinity and eutrophication. Estuar Coast Shelf Sci 65(1–2): 239–252.
  • Gönülol A, Şahin B. 2024. Additions to the list of Türkiye Algal Flora II – Bigyra, Charophyta and Chloropyhta. Bağbahçe Bilim Derg 11(2): 175–209.
  • Guiry MD, Guiry GM. 2024. AlgaeBase. Worldwide electronic publication, University of Galway. URL: https: //www.algaebase.org/search/species/ (accessed date: May 14, 2025).
  • Hill MO. 1973. Diversity and evenness: A unifying notation and its consequences. Ecology 54(2): 427–432.
  • Hillebrand H, Dürselen C, Kirschtel D, Pollingher U, Zohary T. 1999. Biovolume calculation for pelagic and benthic microalgae. J Phycol 35: 403–424.
  • Hochfeld I, Hinners J. 2024. Phytoplankton adaptation to steady or changing environments affects marine ecosystem functioning. Biogeosciences 21(23): 5591–5611.
  • İpek S, Maraşlıoğlu F. 2024. Assessing ecological quality of a stream using trait-based phytoplankton approach. URL: https: //assets-eu.researchsquare.com/files/rs-4938702/v1/bf8b20c8-60d4-4692-ba5c-b2f8b55138d5.pdf?c=1732330863 (accessed April 02, 2025).
  • İpek S. 2022. Phytoplankton and phytobenthos based research on the water quality of Derinçay stream (Çorum). Master’s Thesis. Hitit University, Institute of Science, Çorum, pp: 123.
  • James BK, Adejare LI. 2010. Nutrients and phytoplankton production dynamics of a tropical harbor in relation to water quality indices. J Am Sci 6(9): 261–275.
  • Kirst GO. 1990. Salinity tolerance of eukaryotic marine algae. Annu Rev Plant Physiol 40: 21–53.
  • Krammer K, Lange–Bertalot H. 1986. Bacillariophyceae. Teil 1: Naviculacea. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleuropa 2/1. Gustav Fisher Verlag, Stuttgart–New York, pp: 876.
  • Krammer K, Lange–Bertalot H. 1991. Bacillariophyceae. 3. Teil: Centrales, Fragilariaceae, Eunotiaceae. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleuropa 2/3. Gustav Fischer Verlag, Stuttgart–Jena, pp: 1–576.
  • Krammer K, Lange–Bertalot H. 1991. Bacillariophyceae. 4. Teil: Achnanthaceae Kritische Erganzungen zu Navicula (Lineolatae) und Gomphonema, Gesamt literaturverzeichnis Teil: 1–4. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleurope 2/4. Gustav Fischer Verlag, Stuttgart–Jena, pp: 1–437.
  • Krammer K, Lange–Bertalot H. 1999. Süsswasserflora von Mitteleuropa. Bacillariophyceae. Berlin: Spectrum Akademischer Verlag, Band 2/1, 1. Teil: Naviculaceae, pp: 1–876.
  • Krammer K, Lange–Bertalot H. 1999. Süsswasserflora von Mitteleuropa. Bacillariophyceae. Berlin: Spectrum Akademischer Verlag, Band 2/2, 2. Teil: Bacillariaceae, Epithemiaceae, Surirellaceae, pp: 1–610.
  • Krebs CJ. 1998. Ecological methodology. Benjamin Cummings, Menlo Park, 2nd ed., pp: 620.
  • Kumar J, Alam A, Borah S, Gogoi P, Das BK. 2023. Influence of barrages on hydrological parameters and functional groups of phytoplankton of a subtropical river, Ganga, India. Ecol Process 30(31): 77469–77487.
  • Kwak TJ, Peterson JT. 2007. Community indices, parameters, and comparisons, analysis and interpretation of freshwater fisheries data. Am Fish Soc 677–763.
  • Li Z, Ma C, Sun Y, Lu X, Fan Y. 2022. Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin. Front Microbiol 13: 942205.
  • Lund JWG, Kipling C, Le Cren ED. 1958. The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting. Hydrobiologia 11: 143–170.
  • Maraşlıoğlu F, Bektaş S. 2022. Characterization of spatiotemporal variations in Mert Stream water quality by phytoplankton community and biological indices. KSU J Agric Nat 25: 42–53.
  • Mdee OJ, Mndolwa B, Sadiki N. 2024. Water quality assessment and spatial distribution of water quality parameters of Dodoma Urban, Tanzania. Afr J Aquat Sci 49(2): 95–105.
  • Memiş Y. 2019. A floristic study on the algae of Boğacık Stream (Giresun). Master’s Thesis. Giresun University, Institute of Science, Giresun, pp: 87.
  • Ögrü E, Uzundumlu S, Fakıoğlu Ö. 2025. The effects of water quality parameters on summer dynamics of phytoplankton and zooplankton in the tributaries of Murat River (Hınıs, Erzurum). J Appl Res 6(1): 41–52.
  • Padisak J, Borics G, Grigorszky I, Soróczki-Pintér É. 2006. Use of phytoplankton assemblages for monitoring ecological status of lakes within the Water Framework Directive: the assemblage index. Hydrobiologia 553(1): 1–14.
  • Padisák J, Crossetti LO, Naselli-Flores L. 2009. Use and misuse in the application of the phytoplankton functional classification: a critical review with updates. Hydrobiologia 621: 1–19.
  • Provincial Directorate of Environment and Urbanization, Giresun (GPDEU). 2019. URL: https: //webdosya.csb.gov.tr/db/giresun/icerikler//g-resun-cevre-durum-raporu-2019-20230620084214.pdf (accessed April 2, 2025).
  • Reynolds CS, Huszar V, Kruk C, Naselli-Flores L, Melo S. 2002. Towards a functional classification of the freshwater phytoplankton. J Plankton Res 24: 417–428.
  • Sevindik TO, Alemdar E, Uzun A, Coşkun T, Tunca H. 2021. Ecological status estimation of eight creeks in the Lake Sapanca Basin (Sakarya, Türkiye) using diatom indices. Ann Limnol 57: 14.
  • Shannon CE. 1948. A mathematical theory of communication. Bell Syst Tech J 27(3): 379–423.
  • Shantala M, Shankar PH, Basaling B. 2009. Diversity of phytoplankton in a waste stabilization pond at Shimoga Town, Karnataka State, India. Environ Monit Assess 151(1–4): 437–443.
  • Suganti Y, Syam AR, Nastiti AS. 2024. Phytoplankton community structure in Tunda Island waters, Banten, Indonesia as a bioindicator to measure water quality. Mar Pollut Bull 209: 117147.
  • Sui F, Zang S, Fan Y, Ye H. 2016. Effects of different saline-alkaline conditions on the characteristics of phytoplankton communities in the lakes of Songnen Plain, China. PLoS ONE 11(10): e0164734.
  • Sürücü E, Demir Y. 2024. Trend analysis and evaluation of some irrigation water quality parameters in Yeşilırmak River. Turk J Agric Nat Sci 11(4): 992–1000.
  • Taş B, Yılmaz Ö, Ustaoğlu F. 2021. Assessment of stream water quality in a temperate Türkiye river basin by multivariate analysis and biological approaches. Acta Aquat Turc 17(1): 34–55.
  • Temizel B. 2022. A floristic study on the algae of Harşit Stream. PhD Thesis. Giresun University, Institute of Science, Giresun, pp: 178.
  • Ter Braak CJ, Prentice IC. 1988. A theory of gradient analysis. Adv Ecol Res 18: 271–317.
  • Tohumcu BE. 2020. Phytoplankton patchiness around the Göksu River Estuary (North-Eastern Mediterranean). Master’s Thesis. Middle East Technical University, Institute of Marine Sciences, Ankara, pp: 130.
  • Utermöhl H. 1958. Zur Vervollkommnung der quantitativen phytoplankton Methodik. Mitt Int Limnol 9: 1–38.
  • Uysal T. 2019. A floristic study on the algae of İncüvez Stream. Master’s Thesis. Giresun University, Institute of Science, Giresun, pp: 110.
  • Wang Y, Liu Y, Kang D, Wu C, Wu Y. 2017. Removal of pharmaceuticals and personal care products from wastewater using algae-based technologies: a review. Environ Sci Biotechnol 16(4): 717–735.
  • Water Pollution Control Regulation and Türkiye Environmental Status Report (WPCR-TESR). 2021. Ankara.
  • Wetzel RG. 2001. Limnology: lake and river ecosystems. Gulf Professional Publishing, pp: 1006.
  • Williams DM. 2025. Ubiquitous names and ubiquitous species: examples from Synedra acus (Ulnaria acus), S. ulna (Ulnaria ulna) and S. goulardii (Ulnaria goulardii). Diatom Res 40(1): 81–92.
  • Wu N, Schmalz B, Fohrer N. 2012. Development and testing of a phytoplankton index of biotic integrity (P-IBI) for a German lowland river. Ecol Indic 13(1): 158–167.
  • Ye P, Lu X, Xia W, Wang Y, Zhou C, Liu X, Wu X. 2024. Effect of the ten‐year fishing ban on change of phytoplankton community structure: Insights from the Gan River. Nat Ecol Evol 14(9): e70217.
  • Yilmaz N, Dogan I, Demir G, Yalcin IE, Khan S, Ozyigit II. Assessment of pollution in Alibeykoy Dam Lake (Istanbul, Türkiye) and its influent streams: Phytoplankton composition and heavy metal accumulation. Water Environ Res 97(2): e70030.
  • Zhou X, Hao Y, Liu Y, Dang L, Qiao B, Zuo X. 2025. Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture. Eng Appl Artif Intell 142: 109964.
  • Zhu L, Chen Y, Wang Y, Wang C, Wei Y. 2021. Ecological assessment of water quality in an urban river replenished with reclaimed water: the phytoplankton functional groups approach. Ecol Indic Res 3(11): 115006.

Phytoplankton Composition of Bulancak Stream, Interpretation of Water Quality Based on Indices and Functional Groups

Year 2025, Volume: 8 Issue: 5, 702 - 712, 15.09.2025
https://doi.org/10.47115/bsagriculture.1761273

Abstract

This study aims to analyze the phytoplankton community of Bulancak Stream, determine the functional groups of dominant algae and reveal the ecological status of the stream with the help of indicator species. Phytoplankton samples were collected monthly from three stations between February 2018-January 2019 and environmental parameters were measured. Bacillariophyta is the dominant division, constituting 72% of the total abundance comprising 37 taxa. Cocconeis pediculus, Cymbella affinis and Ulnaria ulna species dominate at all stations. In the study, changes in the phytoplankton composition of Bulancak Stream were also examined with the most common diversity indices, Shannon Index, Simpson Index and Margalef Index and it was concluded that the species were equally distributed. The study identifies 15 functional phytoplankton groups that are commonly found in shallow and organically rich streams. To assess the water quality of Bulancak Stream, the Q(r) index developed for rivers was used in addition to the calculated WQI and the results were found to be consistent. According to both indices, the water quality at Station 1, which is close to the city center and empties into the sea was classified as moderate while the upstream stations were assessed as having good water quality.

Ethical Statement

Since no studies involving humans or animals were conducted, ethical committee approval was not required for this study.

References

  • Akkoyunlu A, Akiner ME. 2012. Pollution evaluation in streams using water quality indices: A case study from Türkiye's Sapanca Lake Basin. Ecol Indic 18: 501–511.
  • Bhatt JP, Manish K, Pandit MK. 2025. Diatom species assemblages and their environmental drivers in the major biogeographic provinces of India. Proc Indian Natl Sci Acad 1–11.
  • Borics G, Görgényi J, Grigorszky I, László-Nagy Z, Tóthmérész B, Krasznai E, Várbíró G. 2014. The role of phytoplankton diversity metrics in shallow lake and river quality assessment. Ecol Indic 45: 28–36.
  • Borics G, Várbíró G, Grigorszky I, Krasznaı E, Szabó S, Tıhamer Kıss K. 2007. A new evaluation technique of potamo-plankton for the assessment of the ecological status of rivers. Arch Hydrobiol 17(3–4): 465–486.
  • Burdis RM, Ward NK, Manier JT. 2025. Phytoplankton assemblage dynamics in relation to environmental conditions in a riverine lake. Aquat Ecol 1–19.
  • Çelekli A, Gümüş EY, Çetin T. 2025. Ecological assessment of lentic ecosystems in Ceyhan River Basin using phytoplankton indices. Turk J Bot 49(3): 176–191.
  • Çelekli A, Lekesiz H, Yavuzatmaca M. 2021. Bioassessment of water quality of surface waters using diatom metrics. Turk J Bot 45(5): 379–396.
  • Çelekli A, Lekesiz Ö, Çetin T. 2023. Eco-assessment of streams of Konya closed river basin (Türkiye) using various ecoregional diatom indices. Ecol Process 30(13): 36143–36159.
  • Çelik K. 2022. The phytoplankton ecology of Üzümcü Stream (Balikesir). JONAS 5(1): 57–64.
  • Chandel P, Mahajan D, Thakur K, Kumar R, Kumar S, Brar B, Sharma D, Sharma AK. 2024. A review on plankton as a bioindicator: A promising tool for monitoring water quality. Water Wastes Pollut 10(1): 213–232.
  • Cox EJ. 1996. Identification of freshwater diatoms from live material. Chapman and Hall, London, pp: 203–205.
  • Dalkıran N, Yoldaş B, Bulut C. 2024. Assessment of phytoplankton and water quality of Sarıyar, Gökçekaya and Yenice Dam Lakes (Eskişehir, Ankara). KSU J Agric Nat 27(4): 802–816.
  • D'Costa PM, Naik RK. 2019. Advances in sampling strategies and analysis of phytoplankton. Adv Biol Res 501–521.
  • Fakıoğlu Ö, Tanır ÖZ, Akyüz Z, Topal MF. 2023. Evaluation of the trophic status of Karasu River (Erzincan, Türkiye) by biodiversity indices. Erzincan Univ J Sci Tech 16(1): 273–285.
  • Gao W, Xiong F, Lu Y, Xin W, Wang H, Feng G, Kong C, Fang L, Gao X, Chen Y. 2024. Phytoplankton community structure in Tunda Island waters, Banten Indonesia as a bioindicator to measure water quality. Ecol Process 13(1): 11.
  • Gasiūnaitė ZR, Cardoso AC, Heiskanen AS, Henriksen P, Kauppila P, Olenina I, Wasmund N. 2005. Seasonality of coastal phytoplankton in the Baltic Sea: influence of salinity and eutrophication. Estuar Coast Shelf Sci 65(1–2): 239–252.
  • Gönülol A, Şahin B. 2024. Additions to the list of Türkiye Algal Flora II – Bigyra, Charophyta and Chloropyhta. Bağbahçe Bilim Derg 11(2): 175–209.
  • Guiry MD, Guiry GM. 2024. AlgaeBase. Worldwide electronic publication, University of Galway. URL: https: //www.algaebase.org/search/species/ (accessed date: May 14, 2025).
  • Hill MO. 1973. Diversity and evenness: A unifying notation and its consequences. Ecology 54(2): 427–432.
  • Hillebrand H, Dürselen C, Kirschtel D, Pollingher U, Zohary T. 1999. Biovolume calculation for pelagic and benthic microalgae. J Phycol 35: 403–424.
  • Hochfeld I, Hinners J. 2024. Phytoplankton adaptation to steady or changing environments affects marine ecosystem functioning. Biogeosciences 21(23): 5591–5611.
  • İpek S, Maraşlıoğlu F. 2024. Assessing ecological quality of a stream using trait-based phytoplankton approach. URL: https: //assets-eu.researchsquare.com/files/rs-4938702/v1/bf8b20c8-60d4-4692-ba5c-b2f8b55138d5.pdf?c=1732330863 (accessed April 02, 2025).
  • İpek S. 2022. Phytoplankton and phytobenthos based research on the water quality of Derinçay stream (Çorum). Master’s Thesis. Hitit University, Institute of Science, Çorum, pp: 123.
  • James BK, Adejare LI. 2010. Nutrients and phytoplankton production dynamics of a tropical harbor in relation to water quality indices. J Am Sci 6(9): 261–275.
  • Kirst GO. 1990. Salinity tolerance of eukaryotic marine algae. Annu Rev Plant Physiol 40: 21–53.
  • Krammer K, Lange–Bertalot H. 1986. Bacillariophyceae. Teil 1: Naviculacea. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleuropa 2/1. Gustav Fisher Verlag, Stuttgart–New York, pp: 876.
  • Krammer K, Lange–Bertalot H. 1991. Bacillariophyceae. 3. Teil: Centrales, Fragilariaceae, Eunotiaceae. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleuropa 2/3. Gustav Fischer Verlag, Stuttgart–Jena, pp: 1–576.
  • Krammer K, Lange–Bertalot H. 1991. Bacillariophyceae. 4. Teil: Achnanthaceae Kritische Erganzungen zu Navicula (Lineolatae) und Gomphonema, Gesamt literaturverzeichnis Teil: 1–4. In: Ettl H, Gerloff J, Heynig H, Mollenhauer D (eds). Süßwasserflora von Mitteleurope 2/4. Gustav Fischer Verlag, Stuttgart–Jena, pp: 1–437.
  • Krammer K, Lange–Bertalot H. 1999. Süsswasserflora von Mitteleuropa. Bacillariophyceae. Berlin: Spectrum Akademischer Verlag, Band 2/1, 1. Teil: Naviculaceae, pp: 1–876.
  • Krammer K, Lange–Bertalot H. 1999. Süsswasserflora von Mitteleuropa. Bacillariophyceae. Berlin: Spectrum Akademischer Verlag, Band 2/2, 2. Teil: Bacillariaceae, Epithemiaceae, Surirellaceae, pp: 1–610.
  • Krebs CJ. 1998. Ecological methodology. Benjamin Cummings, Menlo Park, 2nd ed., pp: 620.
  • Kumar J, Alam A, Borah S, Gogoi P, Das BK. 2023. Influence of barrages on hydrological parameters and functional groups of phytoplankton of a subtropical river, Ganga, India. Ecol Process 30(31): 77469–77487.
  • Kwak TJ, Peterson JT. 2007. Community indices, parameters, and comparisons, analysis and interpretation of freshwater fisheries data. Am Fish Soc 677–763.
  • Li Z, Ma C, Sun Y, Lu X, Fan Y. 2022. Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin. Front Microbiol 13: 942205.
  • Lund JWG, Kipling C, Le Cren ED. 1958. The inverted microscope method of estimating algal numbers and the statistical basis of estimations by counting. Hydrobiologia 11: 143–170.
  • Maraşlıoğlu F, Bektaş S. 2022. Characterization of spatiotemporal variations in Mert Stream water quality by phytoplankton community and biological indices. KSU J Agric Nat 25: 42–53.
  • Mdee OJ, Mndolwa B, Sadiki N. 2024. Water quality assessment and spatial distribution of water quality parameters of Dodoma Urban, Tanzania. Afr J Aquat Sci 49(2): 95–105.
  • Memiş Y. 2019. A floristic study on the algae of Boğacık Stream (Giresun). Master’s Thesis. Giresun University, Institute of Science, Giresun, pp: 87.
  • Ögrü E, Uzundumlu S, Fakıoğlu Ö. 2025. The effects of water quality parameters on summer dynamics of phytoplankton and zooplankton in the tributaries of Murat River (Hınıs, Erzurum). J Appl Res 6(1): 41–52.
  • Padisak J, Borics G, Grigorszky I, Soróczki-Pintér É. 2006. Use of phytoplankton assemblages for monitoring ecological status of lakes within the Water Framework Directive: the assemblage index. Hydrobiologia 553(1): 1–14.
  • Padisák J, Crossetti LO, Naselli-Flores L. 2009. Use and misuse in the application of the phytoplankton functional classification: a critical review with updates. Hydrobiologia 621: 1–19.
  • Provincial Directorate of Environment and Urbanization, Giresun (GPDEU). 2019. URL: https: //webdosya.csb.gov.tr/db/giresun/icerikler//g-resun-cevre-durum-raporu-2019-20230620084214.pdf (accessed April 2, 2025).
  • Reynolds CS, Huszar V, Kruk C, Naselli-Flores L, Melo S. 2002. Towards a functional classification of the freshwater phytoplankton. J Plankton Res 24: 417–428.
  • Sevindik TO, Alemdar E, Uzun A, Coşkun T, Tunca H. 2021. Ecological status estimation of eight creeks in the Lake Sapanca Basin (Sakarya, Türkiye) using diatom indices. Ann Limnol 57: 14.
  • Shannon CE. 1948. A mathematical theory of communication. Bell Syst Tech J 27(3): 379–423.
  • Shantala M, Shankar PH, Basaling B. 2009. Diversity of phytoplankton in a waste stabilization pond at Shimoga Town, Karnataka State, India. Environ Monit Assess 151(1–4): 437–443.
  • Suganti Y, Syam AR, Nastiti AS. 2024. Phytoplankton community structure in Tunda Island waters, Banten, Indonesia as a bioindicator to measure water quality. Mar Pollut Bull 209: 117147.
  • Sui F, Zang S, Fan Y, Ye H. 2016. Effects of different saline-alkaline conditions on the characteristics of phytoplankton communities in the lakes of Songnen Plain, China. PLoS ONE 11(10): e0164734.
  • Sürücü E, Demir Y. 2024. Trend analysis and evaluation of some irrigation water quality parameters in Yeşilırmak River. Turk J Agric Nat Sci 11(4): 992–1000.
  • Taş B, Yılmaz Ö, Ustaoğlu F. 2021. Assessment of stream water quality in a temperate Türkiye river basin by multivariate analysis and biological approaches. Acta Aquat Turc 17(1): 34–55.
  • Temizel B. 2022. A floristic study on the algae of Harşit Stream. PhD Thesis. Giresun University, Institute of Science, Giresun, pp: 178.
  • Ter Braak CJ, Prentice IC. 1988. A theory of gradient analysis. Adv Ecol Res 18: 271–317.
  • Tohumcu BE. 2020. Phytoplankton patchiness around the Göksu River Estuary (North-Eastern Mediterranean). Master’s Thesis. Middle East Technical University, Institute of Marine Sciences, Ankara, pp: 130.
  • Utermöhl H. 1958. Zur Vervollkommnung der quantitativen phytoplankton Methodik. Mitt Int Limnol 9: 1–38.
  • Uysal T. 2019. A floristic study on the algae of İncüvez Stream. Master’s Thesis. Giresun University, Institute of Science, Giresun, pp: 110.
  • Wang Y, Liu Y, Kang D, Wu C, Wu Y. 2017. Removal of pharmaceuticals and personal care products from wastewater using algae-based technologies: a review. Environ Sci Biotechnol 16(4): 717–735.
  • Water Pollution Control Regulation and Türkiye Environmental Status Report (WPCR-TESR). 2021. Ankara.
  • Wetzel RG. 2001. Limnology: lake and river ecosystems. Gulf Professional Publishing, pp: 1006.
  • Williams DM. 2025. Ubiquitous names and ubiquitous species: examples from Synedra acus (Ulnaria acus), S. ulna (Ulnaria ulna) and S. goulardii (Ulnaria goulardii). Diatom Res 40(1): 81–92.
  • Wu N, Schmalz B, Fohrer N. 2012. Development and testing of a phytoplankton index of biotic integrity (P-IBI) for a German lowland river. Ecol Indic 13(1): 158–167.
  • Ye P, Lu X, Xia W, Wang Y, Zhou C, Liu X, Wu X. 2024. Effect of the ten‐year fishing ban on change of phytoplankton community structure: Insights from the Gan River. Nat Ecol Evol 14(9): e70217.
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There are 64 citations in total.

Details

Primary Language English
Subjects Hydrobiology, Freshwater Ecology
Journal Section Research Articles
Authors

Bengü Temizel 0000-0002-5217-3013

Early Pub Date September 12, 2025
Publication Date September 15, 2025
Submission Date August 9, 2025
Acceptance Date September 12, 2025
Published in Issue Year 2025 Volume: 8 Issue: 5

Cite

APA Temizel, B. (2025). Phytoplankton Composition of Bulancak Stream, Interpretation of Water Quality Based on Indices and Functional Groups. Black Sea Journal of Agriculture, 8(5), 702-712. https://doi.org/10.47115/bsagriculture.1761273

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