High spatial resolution seasonal distributions of faecally-derived waterborne and sediment bacteria in standing waters, Glasgow, UK, 2016-2017
This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up to 60 points per lake depending on water body size) in sediment and water from each lake. Faecal indicators were quantified based on standard dilution, membrane filtration and incubation for water, and incubation in bacteria-specific broth, followed by plating and incubation for sediment extracts. Contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters. The work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats) Full details about this dataset can be found at https://doi.org/10.5285/34df30f2-3163-4c11-8743-3732e49220fb
dataset
https://data-package.ceh.ac.uk/data/34df30f2-3163-4c11-8743-3732e49220fb
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https://data-package.ceh.ac.uk/sd/34df30f2-3163-4c11-8743-3732e49220fb.zip
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description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/34df30f2-3163-4c11-8743-3732e49220fb
doi:
eng
biota
health
Human Health and Safety
Environmental Monitoring Facilities
publication
2008-06-01
Microbiology
Glasgow
Urban
faecal indicators
spatial variation
connectivity
-4.603
-3.834
55.983
55.674
2016-01-01
2017-02-28
publication
2022-06-27
Sub-surface water samples and cores of the upper 5cm of sediment obtained from multiple geolocated points within each of 15 water bodies via boat-based sampling. For consistency all sites were sampled 3 hours after sunrise in summer (July) and on ice-free days in winter (Dec/Jan). Sampling intensity was dependent on water body size. Bird distribution and numbers were recorded for an hour from a suitable vantage point at the same time of sampling. A separate water sample was collected from a mid-point in each site for laboratory analysis of metals, nutrients and other standard determinands (Thermo iCap 6000 Series or Dionex DX-120). Dissolved oxygen, pH, electrical conductivity and temperature were measured in the field using a HACH multiprobe. Standard water body characteristics (area, elevation, perimeter etc) are sourced from the U.K. Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/) Water samples for microbial analysis were stored at 4 C and processed within 6 h of collection. 100ml samples at three dilutions were filtered through 0.45-m membrane filters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA) agar. Plates were incubated at 37 deg C and counted after 24 h. Counts are reported as colony forming unit (CFU) per 100 ml water. A mixture of sediment (~2.5 g) and 50ml Phosphate buffered saline (PBS) was used to enumerate E. coli in the sediment. All sediment dilutions were made by placing samples in sterile PBS and shaking them. Each dilution was spread using disposable sterile loops onto MLGA agar plates and incubated at 37 deg C for 24 hours before counting colonies. To quantify abundance of Campylobacter, I. Enterococci, E. coli 0157 and E.coli in sediment a single composite 1g subsample was placed into a sterilised glass vial of 100ml LB broth. A 100ug sample of the aliquot of each sample was spread over the surface of agar plates with a disposable sterile loop and incubated following isolation and incubation protocol for each type of bacteria. Colonies were counted, and results are reported as CFU per g oven-dried soil. Data were added to an Excel spreadsheet and exported as a .csv file for deposit into the EIDC.
publication
2010-12-08
Comma-separated values (CSV)
If you reuse this data, you should cite: Pattison, Z., Quilliam, R.S., Oliver, D., Willby, N.J. (2022). High spatial resolution seasonal distributions of faecally-derived waterborne and sediment bacteria in standing waters, Glasgow, UK, 2016-2017. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/34df30f2-3163-4c11-8743-3732e49220fb
University of Stirling
pointOfContact
University of Newcastle
author
University of Stirling
author
University of Stirling
author
University of Stirling
author
NERC EDS Environmental Information Data Centre
custodian
NERC EDS Environmental Information Data Centre
publisher
University of Stirling
owner
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2023-06-14T09:24:02