International Journal of Environmental Sciences

Volume 2 Issue 4 2012           Pages:2120- 2125

A study on seasonal variations of benthic community and biodiversity indices in relation to environmental variables in disturbed ponds

Author Information:

Kabir Ahmad Habeeba Limnology Research Laboratory, Department of Zoology, Aligarh Muslim University, Aligarh (U.P, 202002), India

Parveen  Saltanat Limnology Research Laboratory, Department of Zoology, Aligarh Muslim University, Aligarh (U.P, 202002), India

Ahmad Uzma Limnology Research Laboratory, Department of Zoology, Aligarh Muslim University, Aligarh (U.P, 202002), India

ABSTRACT

The present work aims to analyze the spatio-temporal variability in benthic macro-invertebrate assemblages and biotic indices in a disturbed pond. Samples were collected seasonally over 1 year-cycles (2009–2010) at three sampling sites along the Western region U.P. Along the pond, spatial variation of the macroinvertebrate community composition was well assessed by similarity analysis and canonical correspondence analysis (CCA) synthesized and jointly ordered macroinvertebrate relation with different physicochemical gradient which clearly detected effect of environmental variables on benthic community. These variation gradients throughout the macroinvertebrate families occurrence data were subsequently confirmed separately by several correspondence analyses and revealed additional information, as the representative families for each sampling site group and season could be identified. Furthermore, these spatio-temporal gradients were discussed and put in relation with changes in the aquatic habitat (water temperature, conductivity, total dissolved solids, transparency, dissolved oxygen, Organic matter, composition of sediment, organic carbon etc).

Keywords: Benthic community, CCA, Physico-chemical factors, diversity indices, macroinvertebrate

DOI: 10.6088/ijes.00202030095


© 2012 Copyright Kabir Ahmad Habeeba et al, licensee IPA.This is an open access article distributed under the Creative Commons Attribution License (2.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The electronic version of the article can be downloaded below.

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