Phytoplankton Dynamics and Its Relation to Physicochemical Parameters in the Dry Season of Maninjau Lake, West Sumatra, Indonesia

Komala, Puti Sri; Silvia, Shinta; Windi, Sherina

doi:10.12911/22998993/169233

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Tytuł artykułu

Phytoplankton Dynamics and Its Relation to Physicochemical Parameters in the Dry Season of Maninjau Lake, West Sumatra, Indonesia

Autorzy

Komala Puti Sri , Silvia Shinta , Windi Sherina

Treść / Zawartość

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Identyfikatory

DOI

10.12911/22998993/169233

Warianty tytułu

Języki publikacji

Abstrakty

Physicochemical parameters play a significant role in determining phytoplankton structure and dynamics in the lake. The present study investigated the phytoplankton dynamics and their correlation with physicochemical parameters in the dry season of Maninjau Lake. The parameters measured, including temperature, transparency, pH, DO, TN, and TP concentrations, were collected from seven lake locations, i.e., in the middle of the lake, near domestic, hydropower, endemic fisheries, and aquaculture cage areas, and inlet-outlet rivers. Phytoplankton samples were collected from the middle of the lake, near domestic and aquaculture cage areas. TSI analysis shows that Maninjau Lake was hypereutrophic, with an average TSI of 101.15. The phytoplankton community comprises six classes and 22 species dominated by Microcystis aeroginosa and Synedra acus. Bacillariophyceae had the highest phytoplankton concentration, while Cyanophyceae had the highest density. The diversity and equity index of the phytoplankton community structure were low and less evenly distributed, confirming that the lake was hypereutrophic. The highest diversity index was found in the middle of the lake or the most profound part, while the lowest was near the domestic area. Among the physicochemical parameters, transparency has a strong correlation with dominant phytoplankton.

Słowa kluczowe

eutrophication Maninjau Lake physicochemical phytoplankton trophic state index TSI

Wydawca

Polskie Towarzystwo Inżynierii Ekologicznej
Lublin University of Technology

Czasopismo

Journal of Ecological Engineering

Rocznik

2023

Tom

Vol. 24, nr 9

Strony

218--231

Opis fizyczny

Bibliogr. 61 poz., rys., tab.

Twórcy

autor

Komala Puti Sri

putisrikomala@eng.unand.ac.id

Department of Environmental Engineering Faculty of Engineering, Universitas Andalas, Padang City 25163, Indonesia

https://orcid.org/0000-0002-5048-6518

autor

Silvia Shinta

Department of Environmental Engineering Faculty of Engineering, Universitas Andalas, Padang City 25163, Indonesia

https://orcid.org/0000-0001-7191-6276

autor

Windi Sherina

Department of Environmental Engineering Faculty of Engineering, Universitas Andalas, Padang City 25163, Indonesia

https://orcid.org/0009-0004-9069-759X

Bibliografia

1. Alkhamis, Y.A., Mathew, R.T., Nagarajan, G., Rahman, S.M., Rahman, M.M. 2022. pH induced stress enhances lipid accumulation in microalgae grown under mixotrophic and autotrophic condition. Frontiers in Energy Research, 10(October). https://doi.org/10.3389/fenrg.2022.1033068
2. Amorim, C.A., Moura, A. do N. 2021. Ecological impacts of freshwater algal blooms on water quality, plankton biodiversity, structure, and ecosystem functioning. Science of the Total Environment, 758. https://doi.org/10.1016/j.scitotenv.2020.143605
3. Standard methods for the examination of water and wastewater, 1546 (2017).
4. Badan Standardisasi Nasional. 2008. SNI 6989.57:2008 Mengenai Air dan Air Limbah-Bagian 57:Metode Pengambilan Contoh Air Permukaan. https://doi.org/SNI 6989.59:2008
5. Baker, P.D., Fabbro, L.D. 1999. A Guide to the Identification of Common Blue-Green Algae (Cy- anoprokaryotes) in Australian Freshwaters (CRCFE Iden). Co-Operative Research Centre for Freshwater Ecology.
6. Balai Wilayah Sungai Sumatera V. 2016. Kualitas Air Danau Maninjau.
7. Bockwoldt, K.A., Nodine, E.R., Mihuc, T.B., Shambaugh, A.D., Stockwell, J.D. 2017. Reduced Phytoplankton and Zooplankton Diversity Associated with Increased Cyanobacteria in Lake Champlain, USA. Journal of Contemporary Water Research & Education, 160(1), 100–118. https://doi.org/10.1111/j.1936-704x.2017.03243.x
8. Bold, H.C., Wynne, M.J. 1978. Introduction to the Algae: Structure and Reproduction. Prentice-Hall.
9. Bukowska, A., Kaliński, T., Koper, M., Kostrzewska-Szlakowska, I., Kwiatowski, J., Mazur-Marzec, H., Jasser, I. 2017. Predicting blooms of toxic cyanobacteria in eutrophic lakes with diverse cyanobacterial communities. Scientific Reports, 7(1), 1–12. https://doi.org/10.1038/s41598-017-08701-8
10. Bužančić, M., Ninčević Gladan, Ž., Marasović, I., Kušpilić, G., Grbec, B. 2016. Eutrophication influence on phytoplankton community composition in three bays on the eastern Adriatic coast. Oceanologia, 58(4), 302–316. https://doi.org/10.1016/j.oceano.2016.05.003
11. Cavalcante, K.P., Cardoso, L. de S., Sussella, R., Becker, V. 2016. Towards a comprehension of Ceratium (Dinophyceae) invasion in Brazilian freshwaters: autecology of C. furcoides in subtropical reservoirs. Hydrobiologia, 771(1), 265–280. https://doi.org/10.1007/s10750-015-2638-x
12. Fukushima, T., Matsushita, B., Subehi, L., Setiawan, F., Wibowo, H. 2018a. Will hypolimnetic waters become anoxic in all deep tropical lakes? Scientific Reports, 8(March), 1–9. https://doi.org/10.1038/srep45320
13. Fukushima, T., Matsushita, B., Subehi, L., Setiawan, F., Wibowo, H. 2018b. Will hypolimnetic waters become anoxic in all deep tropical lakes? Scientific Reports, 8(March), 1–9. https://doi.org/10.1038/srep45320
14. Glibert, P.M., Burford, M.A.M.A., Glibert, P.M., Burford, M.A.M.A. 2017. Globally changing nutrient loads and harmful algal blooms: Recent advances, new paradigms, and continuing challenges. Oceanography, 30(1), 58–69. https://doi.org/10.5670/oceanog.2017.110
15. Hendra, N. 2022. Keramba Jaring Apung di Danau Maninjau Bakal Ditarik, Gubernur: Sudah Over Capacity. Bisnis.Com. https://sumatra.bisnis.com/read/20220816/533/1567557/keramba-jaring-apung-di-danau-maninjau-bakal-ditarik-gubernur-sudah-over-capacity
16. Huisman, J., Codd, G.A., Paerl, H.W., Ibelings, B.W., Verspagen, J.M.H., Visser, P.M. 2018. Cyano- bacterial blooms. In Nature Reviews Microbiology, 16(8), 471–483. Nature Publishing Group. https://doi.org/10.1038/s41579-018-0040-1
17. Irwin, A.J., Finkel, Z.V., Müller-Karger, F.E., Ghinaglia, L.T. 2015. Phytoplankton adapt to changing ocean environments. Proceedings of the National Academy of Sciences of the United States of America, 112(18), 5762–5766. https://doi.org/10.1073/pnas.1414752112
18. Joanna, M., Tarczynska, M., Walter, Z., Zalewski, M. 2003. Natural Toxins from Cyanobacteria. Acta Biologica Cracoviensia Series Botanica, 45(2), 9–20.
19. Kementerian Lingkungan Hidup dan Kehutanan. 2009. Peraturan Menteri Lingkungan Hidup dan Kehutanan Nomor 28 Tahun 2009 Tentang Daya Tampung Beban Pencemaran Air Danau dan/atau Waduk Menteri.
20. Kementerian Lingkungan Hidup Republik Indonesia. 2015a. Gerakan Penyelamatan Danau (GER- MADAN) Maninjau.
21. Kementerian Lingkungan Hidup Republik Indonesia. 2015b. Gerakan Penyelamatan Danau (GER- MADAN) Maninjau.
22. Khattab, M.F.O., Merkel, B. 2015. Secchi disc visibility and its relationship with water quality parameters in the photosynthesis zone of Mosul Dam Lake, Northern Iraq. FOG - Freiberg Online Geoscience, 39(June), 87–102.
23. Kolzau, S., Wiedner, C., Rücker, J., Köhler, J., Köhler, A., Dolman, A.M. 2014. Seasonal patterns of Nitrogen and Phosphorus limitation in four German Lakes and the predictability of limitation status from ambient nutrient concentrations. PLoS ONE, 9(4).
24. Komala, P.S., Nur, A., Nazhifa, I. 2019. Pengaruh Parameter Lingkungan Terhadap Kandungan Senyawa Organik Danau Maninjau Sumatera Barat. Seminar Nasional Pembangunan Wilayah Dan Kota Berkelanjutan, 265–272.
25. Kumar, R., Jha, A.K. 2015. Diversity of phytoplakton in Kamla river water between Jaynagar and Jhanjharpur. International Journal of Advanced Research, 3(6), 880–893.
26. Li, X., Sha, J., Wang, Z.-L. 2017a. Chlorophyll-A Prediction of Lakes with Different Water Quality Patterns in China Based on Hybrid Neural Networks. Water, 9(7), 524. https://doi.org/10.3390/w9070524
27. Li, X., Sha, J., Wang, Z.-L. 2017b. Chlorophyll-A Prediction of Lakes with Different Water Quality Patterns in China Based on Hybrid Neural Networks. Water, 9(7), 524. https://doi.org/10.3390/w9070524
28. Lukman, Sutrisno, Hamdani, A. 2013. Pengamatan Pola Stratifikasi di Danau Maninjau Sebagai Potensi Tubo Belerang. Limnotek, 20(2), 129–140.
29. Lyu, L., Song, K., Wen, Z., Liu, G., Shang, Y., Li, S., Tao, H., Wang, X., Hou, J. 2022. Estimation of the lake trophic state index (TSI) using hyperspectral remote sensing in Northeast China. Optics Express, 30(7), 10329. https://doi.org/10.1364/oe.453404
30. Mancuso, J.L., Weinke, A.D., Stone, I.P., Hamsher, S.E., Villar-argaiz, M., Biddanda, B.A. 2021. Cold and wet : Diatoms dominate the phytoplankton community during a year of anomalous weather in a Great Lakes estuary. Journal of Great Lakes Research, 47(5), 1305–1315. https://doi.org/10.1016/j.jglr.2021.07.003
31. Merina, G., Afrizal, S., Izmiarti. 2014. Komposisi dan Struktur Komunitas Fitoplankton di Danau Maninjau Sumatera Barat. Jurnal Biologi Universitas Andalas (J. Bio. UA.), 3(2014), 267–274. https://doi.org/10.1039/c3dt50493j
32. Michael, P. 1984a. Ecological methods for field and laboratory investigations. Tata Mc Graw-Hill Publishing.USA.
33. Michael, P. 1984b. Ecological methods for field and laboratory investigations. Tata Mc Graw-Hill Publishing.USA.
34. Mosello, R., Bruni, P., Rogora, M., Tartari, G., Dresti, C. 2018. Long-term change in the trophic status and mixing regime of a deep volcanic lake (Lake Bolsena, Central Italy). Limnologica, 72(August), 1–9. https://doi.org/10.1016/j.limno.2018.07.002
35. Nomosatryo, C.H.S. 2016. Changes in water quality and trophic status associated with cage aquaculture in Lake Maninjau, Indonesia. IOP Earth and Environmental Science. https://doi.org/10.1088/1755-1315/31/1/012027
36. Odum, E.P., Odum, H.T. 1959. Fundamentals of Ecology. Saunders.
37. Pathak, D., Hutchins, M., Brown, L., Loewenthal, M., Scarlett, P., Armstrong, L., Nicholls, D., Bowes, M., Edwards, F. 2021. Hourly prediction of phytoplankton biomass and Its environmental controls in lowland rivers. Water Resources Research, 57(3), 1–20. https://doi.org/10.1029/2020WR028773
38. Pemerintah Republik Indonesia. 2021. Peraturan Pemerintah Nomor 22 Tahun 2021 tentang Pedoman Perlindungan dan Pengelolaan Lingkungan Hidup. In Sekretariat Negara Republik Indonesia, 1, 078487A.
39. Poole, R.W. 1974. An Introduction to Qualitative Ecology. McGraw-Hill.
40. Pratiwi, H., Damar, A., Sulistiono. 2018. Phytoplankton community structure in the Estuary of Donan River, Cilacap, Central Java, Indonesia. Biodiversitas, 19(6), 2104–2110. https://doi.org/10.13057/biodiv/d190616
41. Prescott, G.W. 1951. Algae of the western great lakes area (Bulletin N). W.C. Brown Co.
42. Querijero, B.L., Mercurio, A.L. 2016. Water quality in aquaculture and non-aquaculture sites in Taal lake, Batangas, Philippines. Journal of Experimental Biology and Agricultural Sciences, 4(1), 109–115. https://doi.org/10.18006/2016.4(1).109.115
43. Scott, A.M., Prescott, G.W. 1961. Indonesian Desmid. Hydrobiologia, XVII(1–2), 1–132.
44. Sharma, R.C., Singh, N., Chauhan, A. 2016. The influence of physico-chemical parameters on phytoplankton distribution in a head water stream of Garhwal Himalayas: A case study. Egyptian Journal of Aquatic Research, 42(1), 11–21. https://doi.org/10.1016/j.ejar.2015.11.004
45. Sonmez, F., Kutlu, B., Sesli, A. 2017. Spatial and temporal distribution of phytoplankton in Karkamis Dam Lake (Sanliurfa/Turkey). Fresenius Environmental Bulletin, 26(10), 6234–6245. www.algae-base.org
46. Stoyneva-Gärtner, M.P., Morana, C., Borges, A.V., Okello, W., Bouillon, S., Deirmendjian, L., Lambert, T., Roland, F., Nankabirwa, A., Nabafu, E., Darchambeau, F., Descy, J.P. 2020. Diversity and ecology of phytoplankton in Lake Edward (East Africa): Present status and long-term changes. Journal of Great Lakes Research, 46(4), 741–751. https://doi.org/10.1016/j.jglr.2020.01.003
47. Sugie, K., Fujiwara, A., Nishino, S., Kameyama, S., Harada, N. 2020. Impacts of temperature, CO2, and salinity on phytoplankton community composition in the western arctic ocean. Frontiers in Marine Science, 6(January). https://doi.org/10.3389/fmars.2019.00821
48. Sulastri, Henny, C., Santoso, A.B. 2019. Phytoplankton composition and the occurrence of cyanobacterial bloom in Lake Maninjau, Indonesia. IOP Conference Series: Earth and Environmental Science, 380(1). https://doi.org/10.1088/1755-1315/380/1/012020
49. Sulastri, Sulawesty, F., Nomosatryo, S. 2015a. Long term monitoring of water quality and phytoplankto changes in Lake Maninjau, West Sumatra, Indonesia. Oseanologi Dan Limnologi Di Indonesia, 41(3), 339–353.
50. Sulastri, Sulawesty, F., Nomosatryo, S. 2015b. Long term monitoring of water quality and phytoplankton changes in Lake Maninjau, West Sumatra, Indonesia. Oseanologi Dan Limnologi Di Indonesia, 41(3), 339–353.
51. Syandri, H. 2016. Kondisi Kualitas Air Pada Daerah Pemeliharaan Ikan Keramba Jaring Apung di Danau Maninjau. Prosiding Seminar Nasional Tahunan Ke-V Hasil-Hasil Penelitian Perikanan Dan Kelautan, B3, 6, 301–310.
52. Teubner, K., Teubner, I., Pall, K., Kabas, W., Tolotti, M., Ofenböck, T., Dokulil, M.T. 2020. New Emphasis on Water Transparency as Socio-Ecological Indicator for Urban Water: Bridging Ecosystem Service Supply and Sustainable Ecosystem Health. Frontiers in Environmental Science, 8(October), 1–22. https://doi.org/10.3389/fenvs.2020.573724
53. T-Krasznai, E., Török, P., Borics, G., Lukács, Á., Kókai, Z., Lerf, V., Görgényi, J., B-Béres, V. 2022. Functional dynamics of phytoplankton assemblages in hypertrophic lakes: Functional- and species diversity is highly resistant to cyanobacterial blooms. Ecological Indicators, 145. https://doi.org/10.1016/j.ecolind.2022.109583
54. Tonolla, M., Storelli, N., Danza, F., Ravasi, D., Peduzzi, S., Posth, N.R., Cox, R. P., Gregersen, L. H., Daugbjerg, N., Frigaard, N. 2017. Ecology of Meromictic Lakes, 228. https://doi.org/10.1007/978-3-319-49143-1
55. Vajravelu, M., Martin, Y., Ayyappan, S., Mayakrishnan, M. 2018a. Seasonal influence of physico-chemical parameters on phytoplankton diversity, community structure and abundance at Parangipettai coastal waters, Bay of Bengal, South East Coast of India. Oceanologia, 60(2), 114–127. https://doi.org/10.1016/j.oceano.2017.08.003
56. Vajravelu, M., Martin, Y., Ayyappan, S., Mayakrishnan, M. 2018b. Seasonal influence of physicochemical parameters on phytoplankton diversity, community structure and abundance at Parangipettai coastal waters, Bay of Bengal, South East Coast of India. Oceanologia, 60(2), 114–127. https://doi.org/10.1016/j.oceano.2017.08.003
57. Wisnu, R.P., Karuniasa, M., Moersidik, S.S. 2019. The effect of fish aquaculture on water quality in Lake Cilala, Bogor Regency. The 3rd International Seminar on Natural Resources and Environmental Management, 399(012111), 1–8. https://doi.org/10.1088/1755-1315/399/1/012111
58. Yamaji, I. 1980. Illustrations of the marine plankton of Japan (Vol. 45). Hoikusha.
59. Youn, S. J., Yu, S. J., & Byeon, M. S. (2020). Occurrence characteristics of stephanodiscus and synedra in relation to water temperature and concentrations of nutrients during spring diatom bloom in lake Paldang, Korea. Applied Ecology and Environmental Research, 18(4), 5135–5147. https://doi.org/10.15666/aeer/1804_51355147
60. Yu, Z., Yang, J., Amalfitano, S., Yu, X., Liu, L. 2014. Effects of water stratification and mixing on microbial community structure in a subtropical deep reservoir. Scientific Reports, 4, 1–7. https://doi.org/10.1038/srep05821
61. Zhou, Y., Yu, D., Yang, Q., Pan, S., Gai, Y., Cheng, W., Liu, X., Tang, S. 2021. Variations of water transparency and impact factors in the bohai and yellow seas from satellite observations. Remote Sensing, 13(3). https://doi.org/10.3390/rs13030514

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