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Influence of Physicochemical Water Quality Variables on Ichthyofaunal Diversity in the Hasdeo River and Its Tributaries (Ahiran, Tan, and Chornai Rivers), District Korba, Chhattisgarh, India

Authors

Balram Kurrey

Research Scholar, C.M.D. P.G. College, Bilaspur, Chhattisgarh, India (India)

K. Venu Achari

Assistant Professor, Govt. M.L.S. P.G. College, Seepat, Chhattisgarh, India (India)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150700112

Subject Category: Environmental Science

Volume/Issue: 15/7 | Page No: 1462-1494

Publication Timeline

Submitted: 2026-08-10

Accepted: 2026-08-15

Published: 2026-08-20

Abstract

Freshwater fish communities are strongly influenced by spatial and seasonal variations in water quality, particularly in river basins exposed to anthropogenic pressures. This study evaluated the influence of physicochemical water-quality variables on ichthyofaunal diversity in the Hasdeo River and its tributaries - Ahiran, Tan, and Chornai in Korba District, Chhattisgarh, India. Sampling was conducted at 12 stations from May 2025 to April 2026 across pre-monsoon, monsoon, and post-monsoon seasons, generating 36 observations. Water temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and total dissolved solids (TDS) were assessed alongside species richness, Shannon diversity, Simpson dominance, and Pielou evenness. Data were analysed using one-way and two-way ANOVA, Tukey’s HSD test, Pearson correlation, and heat-map visualization.
Hasdeo recorded the highest species richness (45.11 ± 3.22), Shannon diversity (3.61 ± 0.10), and Pielou evenness (0.95 ± 0.01), whereas Chornai showed the lowest richness (28.22 ± 2.28) and Shannon diversity (2.88 ± 0.10) and the highest Simpson dominance (0.14 ± 0.01). One-way ANOVA revealed significant river-wise differences in all fish-diversity indices, pH, BOD, COD, and TDS. Two-way ANOVA showed significant main effects of river and season on the biological and physicochemical variables, while River × Season interactions were non-significant for all fish-diversity indices and significant only for selected physicochemical variables. DO was positively correlated with species richness (r = 0.487), Shannon diversity (r = 0.479), and evenness (r = 0.428), whereas BOD and COD showed strong negative associations with richness and Shannon diversity.
Overall, fish-diversity patterns broadly followed Hasdeo > Ahiran > Tan > Chornai, emphasizing the importance of regular monitoring and pollution-control measures, particularly in the Tan and Chornai rivers.

Keywords

Ichthyofaunal diversity; water quality; seasonal variation; Hasdeo River; Pearson correlation.

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References

1. Agostinho, A. A., Pelicice, F. M., & Gomes, L. C. (2008). Dams and the fish fauna of the Neotropical region: Impacts and management related to diversity and fisheries. Brazilian Journal of Biology, 68(4, Suppl.), 1119–1132. https://doi.org/10.1590/S1519-69842008000500019 [Google Scholar] [Crossref]

2. Albert, J. S., Destouni, G., Duke-Sylvester, S. M., Magurran, A. E., Oberdorff, T., Reis, R. E., Winemiller, K. O., & Ripple, W. J. (2021). Scientists’ warning to humanity on the freshwater biodiversity crisis. Ambio, 50, 85–94. https://doi.org/10.1007/s13280-020-01318-8 [Google Scholar] [Crossref]

3. American Public Health Association. (2023). Standard methods for the examination of water and wastewater (24th ed.). APHA, AWWA, & WEF. [Google Scholar] [Crossref]

4. Boyd, C. E. (2020). Water quality: An introduction (3rd ed.). Springer. https://doi.org/10.1007/978-3-030-23335-8 [Google Scholar] [Crossref]

5. Central Pollution Control Board. (2023). Annual report 2022–2023. Ministry of Environment, Forest and Climate Change, Government of India. https://cpcb.nic.in/ [Google Scholar] [Crossref]

6. Chapman, D. V. (Ed.). (1996). Water quality assessments: A guide to the use of biota, sediments and water in environmental monitoring (2nd ed.). E & FN Spon. [Google Scholar] [Crossref]

7. Clarke, K. R., & Warwick, R. M. (2001). Change in marine communities: An approach to statistical analysis and interpretation (2nd ed.). PRIMER-E. [Google Scholar] [Crossref]

8. Dudgeon, D., Arthington, A. H., Gessner, M. O., Kawabata, Z.-I., Knowler, D. J., Lévêque, C., Naiman, R. J., Prieur-Richard, A.-H., Soto, D., Stiassny, M. L. J., & Sullivan, C. A. (2006). Freshwater biodiversity: Importance, threats, status and conservation challenges. Biological Reviews, 81(2), 163–182. https://doi.org/10.1017/S1464793105006950 [Google Scholar] [Crossref]

9. Froese, R., & Pauly, D. (Eds.). (2026). FishBase. https://www.fishbase.org [Google Scholar] [Crossref]

10. Fu, C., Wu, J., Chen, J., Wu, Q., & Lei, G. (2003). Freshwater fish biodiversity in the Yangtze River basin of China: Patterns, threats and conservation. Biodiversity and Conservation, 12(8), 1649–1685. https://doi.org/10.1023/A:1023697714517 [Google Scholar] [Crossref]

11. Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001). PAST: Paleontological Statistics software package for education and data analysis. Palaeontologia Electronica, 4(1), 1–9. https://palaeo-electronica.org/2001_1/past/issue1_01.htm [Google Scholar] [Crossref]

12. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. (2019). Global assessment report on biodiversity and ecosystem services. IPBES Secretariat. https://doi.org/10.5281/zenodo.3831673 [Google Scholar] [Crossref]

13. Jayaram, K. C. (2010). The freshwater fishes of the Indian region (2nd ed.). Narendra Publishing House. [Google Scholar] [Crossref]

14. Karr, J. R. (1981). Assessment of biotic integrity using fish communities. Fisheries, 6(6), 21–27. https://doi.org/10.1577/1548-8446(1981)006%3C0021:AOBIUF%3E2.0.CO;2 [Google Scholar] [Crossref]

15. Legendre, P., & Legendre, L. (2012). Numerical ecology (3rd English ed.). Elsevier. [Google Scholar] [Crossref]

16. Magurran, A. E. (2004). Measuring biological diversity. Blackwell Publishing. [Google Scholar] [Crossref]

17. Matthews, W. J. (1998). Patterns in freshwater fish ecology. Chapman & Hall. https://doi.org/10.1007/978-1-4615-4066-3 [Google Scholar] [Crossref]

18. Millennium Ecosystem Assessment. (2005). Ecosystems and human well-being: Synthesis. Island Press. [Google Scholar] [Crossref]

19. Mishra, S. S., Das, S. S., & Kar, S. (2018). Ichthyofaunal diversity and water quality assessment in the Mahanadi River basin, India. Journal of Environmental Biology, 39(5), 719–726. https://doi.org/10.22438/jeb/39/5/MRN-650 [Google Scholar] [Crossref]

20. Pielou, E. C. (1966). The measurement of diversity in different types of biological collections. Journal of Theoretical Biology, 13, 131–144. https://doi.org/10.1016/0022-5193(66)90013-0 [Google Scholar] [Crossref]

21. Pont, D., Hugueny, B., Beier, U., Goffaux, D., Melcher, A., Noble, R., Rogers, C., Roset, N., & Schmutz, S. (2006). Assessing river biotic condition at a continental scale: A European approach using functional metrics and fish assemblages. Journal of Applied Ecology, 43(1), 70–80. https://doi.org/10.1111/j.1365-2664.2005.01126.x [Google Scholar] [Crossref]

22. R Core Team. (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/ [Google Scholar] [Crossref]

23. Reid, A. J., Carlson, A. K., Creed, I. F., Eliason, E. J., Gell, P. A., Johnson, P. T. J., Kidd, K. A., MacCormack, T. J., Olden, J. D., Ormerod, S. J., Smol, J. P., Taylor, W. W., Tockner, K., Vermaire, J. C., Dudgeon, D., & Cooke, S. J. (2019). Emerging threats and persistent conservation challenges for freshwater biodiversity. Biological Reviews, 94(3), 849–873. https://doi.org/10.1111/brv.12480 [Google Scholar] [Crossref]

24. Sarkar, U. K., Pathak, A. K., & Lakra, W. S. (2021). Freshwater fish diversity of India: Status and conservation perspectives. Reviews in Fish Biology and Fisheries, 31(1), 1–24. [Google Scholar] [Crossref]

25. Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. University of Illinois Press. [Google Scholar] [Crossref]

26. Simon, T. P. (Ed.). (1999). Assessing the sustainability and biological integrity of water resources using fish communities. CRC Press. [Google Scholar] [Crossref]

27. Simpson, E. H. (1949). Measurement of diversity. Nature, 163, 688. https://doi.org/10.1038/163688a0 [Google Scholar] [Crossref]

28. Singh, A. K., Srivastava, S. C., & Verma, P. (2025). Influence of physicochemical parameters on freshwater fish diversity in the Ganga tributaries, India. Environmental Monitoring and Assessment, 197, Article 245. [Google Scholar] [Crossref]

29. Talwar, P. K., & Jhingran, A. G. (1991). Inland fishes of India and adjacent countries (Vols. 1–2). Oxford & IBH Publishing. [Google Scholar] [Crossref]

30. Tickner, D., Opperman, J. J., Abell, R., Acreman, M., Arthington, A. H., Bunn, S. E., Cooke, S. J., Dalton, J., Darwall, W., Edwards, G., Harrison, I., Hughes, K., Jones, T., Leclère, D., Lynch, A. J., Leonard, P., McClain, M. E., Muruven, D., Olden, J. D., Ormerod, S. J., Robinson, J., Tharme, R. E., Thieme, M., Tockner, K., Wright, M., & Young, L. (2020). Bending the curve of global freshwater biodiversity loss: An emergency recovery plan. BioScience, 70(4), 330–342. https://doi.org/10.1093/biosci/biaa002 [Google Scholar] [Crossref]

31. United Nations Environment Programme. (2023). Progress on freshwater ecosystems: Global indicator 6.6.1 updates and acceleration needs. [Google Scholar] [Crossref]

32. Wetzel, R. G. (2001). Limnology: Lake and river ecosystems (3rd ed.). Academic Press. [Google Scholar] [Crossref]

33. World Wide Fund for Nature. (2024). Living Planet Report 2024: A system in peril. WWF International. [Google Scholar] [Crossref]

34. Zar, J. H. (2010). Biostatistical analysis (5th Ed.). Pearson Education. [Google Scholar] [Crossref]

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