Abstract:
Bioindicator phytoplankton species form an important component in aquatic systems. Fresh water
phytoplankton such as blue-green algae Microcystis spp is indicative of pre-existing high nutrient
and eutrophic status. In the context of change, bioindicators serve as early-warning signals to
reflect the health status of an aquatic system. The fresh water ponds at the University of Embu,
initially built for irrigation purposes, have in the recent past been a source of water for various
activities. These ponds receive water from areas surrounding the University and could be prone to
various sources of pollution. We undertook to study phytoplankton bioindicators in the University
of Embu dams during a one-month period between 9
February to 21st March. Five points from
three dams were sampled and were designated as “Dam1”, “Dam3Pt1”, “Dam3Pt2”, “Dam5Pt1”
and “Dam5Pt2”. During each sampling event, physicochemical parameters including temperature,
pH, water transparency, and conductivity were measured and water samples were collected for
chlorophyll-a analysis as well as phytoplankton species identification and counting. The data was
subjected to both quantitative and qualitative methods of statistical analysis using graph pad prism
version 7 for windows and R, a language used for environmental statistical computing. A
combined total of 56 species of phytoplankton were identified to species level; Chlorophyta (24),
Cyanophyta (12), Euglenophyta (9), Bacillariophyta (5), Xanthophyta (4) and Pyrrophyta (2).
Significant differences among dams for Microcystis aeruginosa were observed. Temporal
differences were observed in four of the five focal bioindicator species. The presence of M.
aeruginosa and Anabaena cylindrica could be an indicator of deteriorating conditions of water
quality due to organic pollutants. The information generated by this study not only form baseline
for future studies but also be used to advise the University management of the status of the waters
for enhanced use and conservation.
