Locally Calibrated Algal Indicators and a Five-Metric Bio-monitoring Index for Tropical Monsoonal Water Bodies: Limitations of Palmer's and Nygaard's Indices in Vidarbha, India

Authors

  • Sujata Sureshrao Raut, and Vishwa Jyotsna Singh

Keywords:

bioassessment; indicator species; Palmer's index; Nygaard's quotients; trophic state index; phytoplankton; Maharashtra

Abstract

Temperate algal pollution and trophic indices are routinely applied to Indian water bodies without local testing. This study checked Palmer's genus pollution index, Nygaard's phytoplankton quotients and Carlson's trophic state index against measured water quality in six reservoirs, tanks and ponds of Amravati District, Maharashtra, and used the same data set to build a locally calibrated bio-monitoring index. Littoral and open-water stations were sampled monthly from July 2024 to June 2026 (288 samples). Palmer's score put 61.1 per cent of samples in the high organic pollution class, yet it ranked the perennial lake (27.73) and the irrigation tank (26.17) above the urban tank (19.83), which had the lowest oxygen and highest oxygen demand. Nygaard's quotients calculated from pooled species lists were identical at every site and season (compound quotient 5.00), and sample-level quotients could not be calculated for the 32.3 per cent of samples that contained no desmids. Carlson's chlorophyll-based index ranked the sites correctly, from mesotrophic (S1, mean 49.25) to hypereutrophic (S5, 72.65), but non-algal turbidity raised its Secchi-based counterpart by 8.07 units in the monsoon. Indicator value analysis with a cross-year consistency test identified nine enrichment indicators led by Euglena viridis and Microcystis aeruginosa, and eleven low-enrichment indicators led by Volvox aureus, Closterium moniliferum and Pinnularia gibba. A five-metric index built from cyanobacterial share, Shannon diversity, pollution-tolerant taxa, Zygnematophyceae share and chlorophyll-based trophic state correlated strongly with phosphate-P (ρ = 0.894) and BOD (ρ = 0.882), although neither variable enters its calculation. At five of the six sites it placed 79 to 98 per cent of samples in the expected class.

References

American Public Health Association, American Water Works Association, & Water Environment Federation. (2017). Standard methods for the examination of water and wastewater (23rd ed.). American Public Health Association.

Bellinger, E. G., & Sigee, D. C. (2015). Freshwater algae: Identification, enumeration and use as bioindicators (2nd ed.). Wiley-Blackwell. https://doi.org/10.1002/9781118917152

Carlson, R. E. (1977). A trophic state index for lakes. Limnology and Oceanography, 22(2), 361–369. https://doi.org/10.4319/lo.1977.22.2.0361

Chorus, I., & Welker, M. (Eds.). (2021). Toxic cyanobacteria in water: A guide to their public health consequences, monitoring and management (2nd ed.). CRC Press. https://doi.org/10.1201/9781003081449

Das, D., Pathak, A., & Pal, S. (2018). Diversity of phytoplankton in some domestic wastewater-fed urban fish pond ecosystems of the Chota Nagpur Plateau in Bankura, India. Applied Water Science, 8(3), Article 84. https://doi.org/10.1007/s13201-018-0726-6

Dufrêne, M., & Legendre, P. (1997). Species assemblages and indicator species: The need for a flexible asymmetrical approach. Ecological Monographs, 67(3), 345–366. https://doi.org/10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2

Giripunje, M. D., Fulke, A. B., Khairnar, K., Meshram, P. U., & Paunikar, W. N. (2013). A review of phytoplankton ecology in freshwater lakes of India. Lakes, Reservoirs and Ponds, 7(2), 127–141.

Huisman, J., Codd, G. A., Paerl, H. W., Ibelings, B. W., Verspagen, J. M. H., & Visser, P. M. (2018). Cyanobacterial blooms. Nature Reviews Microbiology, 16(8), 471–483. https://doi.org/10.1038/s41579-018-0040-1

Kruk, C., Huszar, V. L. M., Peeters, E. T. H. M., Bonilla, S., Costa, L., Lürling, M., Reynolds, C. S., & Scheffer, M. (2010). A morphological classification capturing functional variation in phytoplankton. Freshwater Biology, 55(3), 614–627. https://doi.org/10.1111/j.1365-2427.2009.02298.x

Kumar, J., Alam, A., Sarkar, U. K., Das, B. K., Kumar, V., & Srivastava, S. K. (2020). Assessing the phytoplankton community and diversity in relation to physico-chemical parameters in a tropical reservoir of the River Ganga basin, India. Sustainable Water Resources Management, 6(6), Article 110. https://doi.org/10.1007/s40899-020-00470-z

Lamsoge, B. R. (2013). Ground water information: Amravati district, Maharashtra (Report No. 1757/DBR/2013). Central Ground Water Board, Ministry of Water Resources, Government of India.

Lobo, E. A., Heinrich, C. G., Schuch, M., Wetzel, C. E., & Ector, L. (2016). Diatoms as bioindicators in rivers. In O. Necchi Jr. (Ed.), River algae (pp. 245–271). Springer. https://doi.org/10.1007/978-3-319-31984-111

Maske, S. S., Sangolkar, L. N., & Chakrabarti, T. (2010). Temporal variation in density and diversity of cyanobacteria and cyanotoxins in lakes at Nagpur (Maharashtra State), India. Environmental Monitoring and Assessment, 169(1–4), 299–308. https://doi.org/10.1007/s10661-009-1171-7

Nygaard, G. (1949). Hydrobiological studies on some Danish ponds and lakes: Part II. The quotient hypothesis and some new or little known phytoplankton organisms. Det Kongelige Danske Videnskabernes Selskab, Biologiske Skrifter, 7(1), 1–293.

Padisák, J., Crossetti, L. O., & Naselli-Flores, L. (2009). Use and misuse in the application of the phytoplankton functional classification: A critical review with updates. Hydrobiologia, 621(1), 1–19. https://doi.org/10.1007/s10750-008-9645-0

Palmer, C. M. (1969). A composite rating of algae tolerating organic pollution. Journal of Phycology, 5(1), 78–82. https://doi.org/10.1111/j.1529-8817.1969.tb02581.x

Pandey, L. K., Bergey, E. A., Lyu, J., Park, J., Choi, S., Lee, H., Depuydt, S., Oh, Y.-T., Lee, S.-M., & Han, T. (2017). The use of diatoms in ecotoxicology and bioassessment: Insights, advances and challenges. Water Research, 118, 39–58. https://doi.org/10.1016/j.watres.2017.01.062

Reynolds, C. S., Huszar, V., Kruk, C., Naselli-Flores, L., & Melo, S. (2002). Towards a functional classification of the freshwater phytoplankton. Journal of Plankton Research, 24(5), 417–428. https://doi.org/10.1093/plankt/24.5.417

Sharma, R. C., & Tiwari, V. (2018). Phytoplankton diversity in relation to physicochemical environmental variables of Nachiketa Tal, Garhwal Himalaya. Biodiversity International Journal, 2(2), 102–110. https://doi.org/10.15406/bij.2018.02.00052

Shekhar, T. R. S., Kiran, B. R., Puttaiah, E. T., Shivaraj, Y., & Mahadevan, K. M. (2008). Phytoplankton as index of water quality with reference to industrial pollution. Journal of Environmental Biology, 29(2), 233–236.

Stevenson, R. J. (2014). Ecological assessments with algae: A review and synthesis. Journal of Phycology, 50(3), 437–461. https://doi.org/10.1111/jpy.12189

Wu, N., Dong, X., Liu, Y., Wang, C., Baattrup-Pedersen, A., & Riis, T. (2017). Using river microalgae as indicators for freshwater biomonitoring: Review of published research and future directions. Ecological Indicators, 81, 124–131. https://doi.org/10.1016/j.ecolind.2017.05.066

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Sujata Sureshrao Raut, and Vishwa Jyotsna Singh. (2026). Locally Calibrated Algal Indicators and a Five-Metric Bio-monitoring Index for Tropical Monsoonal Water Bodies: Limitations of Palmer’s and Nygaard’s Indices in Vidarbha, India. International Journal of Engineering Science & Humanities, 16(2), 1427–1445. Retrieved from https://www.ijesh.com/j/article/view/1203

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