Decoding the influence
of limnological parameters favouring cohabitation of microalgae and greater duckweeds
in Lentic Ecosystems of Malda District: An attempt with Artificial Neural Network
Sil Kumar Sudipta and Gupta Santanu
Res. J. Biotech.; Vol. 20(3); 75-82;
doi: https://doi.org/10.25303/203rjbt075082; (2025)
Abstract
Sharing of ecological resources among the various species in any ecosystem is a
characteristic feature in any living association. In aquatic ecosystem, a particular
niche is shared by a number of species and cohabitation is one of the normal adaptive
strategies followed by aquatic flora and fauna. In the study, we observed stable
spatio-temporal association between greater duckweeds and microalgae in sufficiently
screened waterbodies in Malda district of West Bengal.
Collection sites represent various biochemical parameters included in the list of
independent variables like pH, TDS, nitrate and phosphate levels etc. Statistical
model like ANN explains the role of independently variable limnological parameters
towards predicting most significant association and the threshold sample size.
