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Phytoplankton patterns along a series of small man-made reservoirs in Kenya

Phytoplankton patterns along a series of small man-made reservoirs in Kenya

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dc.contributor.author Nadja Straubinger-Gansberger
dc.contributor.author Mary Nakabungo Kaggwa
dc.contributor.author Michael Schagerl
dc.date.accessioned 2021-01-10T11:55:37Z
dc.date.available 2021-01-10T11:55:37Z
dc.date.issued 2014
dc.identifier.issn 15732959
dc.identifier.issn 01676369
dc.identifier.uri https://combine.alvar.ug/handle/1/49032
dc.description.abstract We studied nine small man-made reservoirs located in different climate regions of Kenya to get an insight into the relationship between phytoplankton community structure and its environment. The investigated ponds form three groups of three reservoirs each found in the rural areas of Machakos district, Mount Kenya region, and Lake Victoria area with varied climatic characteristics. The ponds were sampled in monthly intervals between May 2007 and June 2008 for physicochemical variables including water chemistry, phytoplankton community composition, zooplankton abundance, and bacterial numbers. All ponds were classified as hypertrophic. Seasonal changes were reflected in the phytoplankton pattern, as all ponds showed a community shift after the short dry season in February. Due to high nutrient loads and increased turbidity, Cyanobacteria, which were initially thought to be predominating in all investigated water bodies, were found to play only a minor role except for the Bomet reservoir in Lake Victoria region. Instead, Chloro- and Streptophyta, Dinophyta, and Euglenophyta were abundant in the pelagial. A principal component analysis explained around 85 % of the data variance with four principal components (PCs) interpreted as “location”, “ions”, “zooplankton”, and “particulate matter”. A clear separation of ponds with and without cattle access based on algal species community data was found indicating the need for a sustainable use and regular monitoring program as the local population is largely dependent on these sensitive small-scale ecosystems.
dc.publisher Springer Netherlands
dc.relation.ispartof Environmental monitoring and assessment
dc.subject.mesh Animals
dc.subject.mesh Climate
dc.subject.mesh Cyanobacteria/classification
dc.subject.mesh Ecosystem
dc.subject.mesh Environmental Monitoring
dc.subject.mesh Fresh Water/chemistry
dc.subject.mesh Kenya
dc.subject.mesh Phytoplankton/classification
dc.subject.mesh Ponds/chemistry
dc.subject.mesh Seasons
dc.subject.mesh Zooplankton/classification
dc.title Phytoplankton patterns along a series of small man-made reservoirs in Kenya
dc.type journal article
dc.identifier.doi 10.1007/s10661-014-3766-x
dc.identifier.pmid 24718929
dc.identifier.mag 2121576930
dc.identifier.lens 021-758-500-893-011
dc.identifier.volume 186
dc.identifier.issue 8
dc.identifier.spage 5153
dc.identifier.epage 5166
dc.subject.lens-fields Ecosystem
dc.subject.lens-fields Nutrient
dc.subject.lens-fields Zooplankton
dc.subject.lens-fields Ecology
dc.subject.lens-fields Streptophyta
dc.subject.lens-fields Phytoplankton
dc.subject.lens-fields Monitoring program
dc.subject.lens-fields Hydrology
dc.subject.lens-fields Environmental science
dc.subject.lens-fields Algae
dc.subject.lens-fields Dry season


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