Distribution of fecal microorganisms in water, periphyton, and sediment was studied along the Žrnovnica river (Croatia) over a 1.5-year period. It was found that periphyton was inhabited by the highest number of investigated bacteria, while lower numbers of them were found in sediment and the lowest in surface water of the river. The concentrations of fecal microorganisms in periphyton and partly in sediment were found to be significantly higher in the middle of the river course, near the town of Žrnovnica, while according to the analysis of surface water the highest degree of pollution was reached on its estuary. The results were explained with respect to bacterial-algal associations. Considering the fact that most of the river microorganisms are associated with periphyton and sediment particles and only a small number of them is in the free-living form, microbiological analysis of both periphyton and sediment together with water samples has been suggested when fecal pollution of a river is concerned.
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http://dx.doi.org/10.1007/s10661-010-1360-4 | DOI Listing |
Environ Sci Process Impacts
November 2024
CESAM - Centre for Environmental and Marine Studies and Department of Biology, University of Aveiro, Portugal.
Periphyton is frequently used in the evaluation of the ecological status of aquatic ecosystems using diatoms as a proxy. However, periphyton has a particularity, the production of extracellular polymeric substances (EPS), which might play a protective role against exposure to harmful environmental contaminants. Effluents originating in wastewater treatment plants (WWTPs) constitute some of the most complex mixtures of contaminants, to which aquatic ecosystems are frequently exposed, often containing tens to hundreds of different chemicals.
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September 2024
Department of Science and High Technology, University of Insubria, Via GB Vico 46, 21100, Varese, Italy.
Controlled sediment flushing operations (CSFOs) allow to recover reservoirs storage loss while rebalancing the sediment flux interrupted by dams but, at the same time, may cause unacceptable ecological impact. In this study, we investigated the responses of the food web of an upland stream to a CSFO, focusing on the effects of fine sediment deposition detected in three different mesohabitats, i.e.
View Article and Find Full Text PDFEcol Appl
September 2024
Senator George J. Mitchell Center for Sustainability Solutions and School of Biology and Ecology, University of Maine, Orono, Maine, USA.
Understanding the relationship between a dam's size and its ecological effects is important for prioritization of river restoration efforts based on dam removal. Although much is known about the effects of large storage dams, this information may not be applicable to small dams, which represent the vast majority of dams being considered for removal. To better understand how dam effects vary with size, we conducted a multidisciplinary study of the downstream effect of dams on a range of ecological characteristics including geomorphology, water chemistry, periphyton, riparian vegetation, benthic macroinvertebrates, and fish.
View Article and Find Full Text PDFEnviron Sci Technol
August 2024
US Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, Oregon 97331, United States.
The increasing frequency and severity of wildfires are among the most visible impacts of climate change. However, the effects of wildfires on mercury (Hg) transformations and bioaccumulation in stream ecosystems are poorly understood. We sampled soils, water, sediment, in-stream leaf litter, periphyton, and aquatic invertebrates in 36 burned (one-year post fire) and 21 reference headwater streams across the northwestern U.
View Article and Find Full Text PDFHeliyon
March 2024
Center for Research in Chemistry, Toxicology, and Environmental Biotechnology, Department of Chemistry, Faculty of Science, Universidad Nacional Agraria La Molina, 15024, Lima, Peru.
The hydrobiological diversity in the basin depends on biotic and abiotic factors. A predictive model of hydrobiological diversity for periphyton and macrobenthos was developed through multiple linear regression analysis (MLRA) based on the physicochemical parameters of water (PPW) and metal content in sediments (MCS) from eight monitoring stations in the Asana-Tumilaca Basin during the dry and wet seasons. The electrical conductivity presented values between 47.
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