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Cattle-derived microbial input to source water catchments: An experimental assessment of stream crossing modification

Overview of attention for article published in Journal of Environmental Management, April 2015
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Title
Cattle-derived microbial input to source water catchments: An experimental assessment of stream crossing modification
Published in
Journal of Environmental Management, April 2015
DOI 10.1016/j.jenvman.2015.03.052
Pubmed ID
Authors

Andrew Smolders, Robert J. Rolls, Darren Ryder, Andrew Watkinson, Mark Mackenzie

Abstract

The provision of safe drinking water is a global issue, and animal production is recognized as a significant potential origin of human infectious pathogenic microorganisms within source water catchments. On-farm management can be used to mitigate livestock-derived microbial pollution in source water catchments to reduce the risk of contamination to potable water supplies. We applied a modified Before-After Control Impact (BACI) design to test if restricting the access of livestock to direct contact with streams prevented longitudinal increases in the concentrations of faecal indicator bacteria and suspended solids. Significant longitudinal increases in pollutant concentrations were detected between upstream and downstream reaches of the control crossing, whereas such increases were not detected at the treatment crossing. Therefore, while the crossing upgrade was effective in preventing cattle-derived point source pollution by between 112 and 158%, diffuse source pollution to water supplies from livestock is not ameliorated by this intervention alone. Our findings indicate that stream crossings that prevent direct contact between livestock and waterways provide a simple method for reducing pollutant loads in source water catchments, which ultimately minimises the likelihood of pathogenic microorganisms passing through source water catchments and the drinking water supply system. The efficacy of the catchment as a primary barrier to pathogenic risks to drinking water supplies would be improved with the integration of management interventions that minimise direct contact between livestock and waterways, combined with the mitigation of diffuse sources of livestock-derived faecal matter from farmland runoff to the aquatic environment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
United States 1 2%
South Africa 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 11 19%
Student > Master 7 12%
Student > Bachelor 5 9%
Lecturer 4 7%
Other 10 17%
Unknown 8 14%
Readers by discipline Count As %
Environmental Science 16 28%
Agricultural and Biological Sciences 12 21%
Engineering 5 9%
Medicine and Dentistry 4 7%
Sports and Recreations 2 3%
Other 8 14%
Unknown 11 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 January 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Journal of Environmental Management
#5,701
of 6,438 outputs
Outputs of similar age
#240,160
of 278,627 outputs
Outputs of similar age from Journal of Environmental Management
#53
of 58 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,438 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.