Physico-chemical parameters and phytoplankton heterogeneity in different seasons of Sorbhog Beel, a pivotal floodplain wetland in the Himalayan Foothill


Research Articles | Published:

Print ISSN : 0970-4078.
Online ISSN : 2229-4473.
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Doi: 10.1007/s42535-023-00573-w
First Page: 68
Last Page: 81
Views: 1341

Keywords: Beel, Phytoplankton diversity, Density, Seasonal variation, CCA, Pearson’s correlation matrix


The present investigation was carried out from December 2019 to November 2021 in order to study the seasonal link of physicochemical parameters upon the phytoplankton community of Sorbhog Beel, an important wetland of the Eastern Himalayan Biodiversity Hotspot. 52 algal genera were reported from the study area. Based on relative abundance, Cyanophyceae outnumbered other classes in winter (30%) and premonsoon (22%) seasons; while, Chlorophyceae and Bacillariophyceae dominated during monsoon (30%) and postmonsoon (29%) season respectively. The mean seasonal algal density for 2 years was recorded maximum in winter season (6.44 ± 0.15 × 103 individuals/l), followed by premonsoon season (5.16 ± 0.07 × 103 individuals/l), postmonsoon season (4.66 ± 0.16 × 103 individuals/l) and monsoon season (3.66 ± 0.20 × 103 individuals/l) respectively. One-way ANOVA and post-hoc Tukey test revealed that the parameters viz. pH, DO, BOD, alkalinity, hardness, calcium, and magnesium showed statistically significant positive correlations (p < 0.05), while, conductivity, water temperature, TDS, turbidity, chloride, sulphate, sodium and potassium reflected statistically significant negative correlations (p < 0.05). The impact of physico-chemical parameters upon different groups of phytoplankton was studied by Canonical Correspondence Analysis, which displayed a close affinity among each other. Simpson’s diversity index (0.785–0.809) and Pielou’s evenness index (0.663–0.896) indicated moderately rich and evenly distributed phytoplankton diversity in the Beel ecosystem.

Beel, Phytoplankton diversity, Density, Seasonal variation, CCA, Pearson’s correlation matrix

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The authors are thankful to the Head, Department of Botany, Gauhati University for providing access to laboratory infrastructures created under DST-FIST, UGC-SAP and MoEF & CC.

Author Information

Baruah Debahooti
Department of Botany, Gauhati University, Guwahati, India
Baruah Partha Pratim
Department of Botany, Gauhati University, Guwahati, India