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Do biofilm communities respond to the chemical signatures of fracking? A test involving streams in North-central Arkansas

Overview of attention for article published in BMC Microbiology, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 blog
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6 X users

Citations

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10 Dimensions

Readers on

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47 Mendeley
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2 CiteULike
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Title
Do biofilm communities respond to the chemical signatures of fracking? A test involving streams in North-central Arkansas
Published in
BMC Microbiology, February 2017
DOI 10.1186/s12866-017-0926-5
Pubmed ID
Authors

Wilson H. Johnson, Marlis R. Douglas, Jeffrey A. Lewis, Tara N. Stuecker, Franck G. Carbonero, Bradley J. Austin, Michelle A. Evans-White, Sally A. Entrekin, Michael E. Douglas

Abstract

Unconventional natural gas (UNG) extraction (fracking) is ongoing in 29 North American shale basins (20 states), with ~6000 wells found within the Fayetteville shale (north-central Arkansas). If the chemical signature of fracking is detectable in streams, it can be employed to bookmark potential impacts. We evaluated benthic biofilm community composition as a proxy for stream chemistry so as to segregate anthropogenic signatures in eight Arkansas River catchments. In doing so, we tested the hypothesis that fracking characteristics in study streams are statistically distinguishable from those produced by agriculture or urbanization. Four tributary catchments had UNG-wells significantly more dense and near to our sampling sites and were grouped as 'potentially-impacted catchment zones' (PICZ). Four others were characterized by significantly larger forested area with greater slope and elevation but reduced pasture, and were classified as 'minimally-impacted' (MICZ). Overall, 46 bacterial phyla/141 classes were identified, with 24 phyla (52%) and 54 classes (38%) across all samples. PICZ-sites were ecologically more variable than MICZ-sites, with significantly greater nutrient levels (total nitrogen, total phosphorous), and elevated Cyanobacteria as bioindicators that tracked these conditions. PICZ-sites also exhibited elevated conductance (a correlate of increased ion concentration) and depressed salt-intolerant Spartobacteria, suggesting the presence of brine as a fracking effect. Biofilm communities at PICZ-sites were significantly less variable than those at MICZ-sites. Study streams differed by Group according to morphology, land use, and water chemistry but not in biofilm community structure. Those at PICZ-sites covaried according to anthropogenic impact, and were qualitatively similar to communities found at sites disturbed by fracking. The hypothesis that fracking signatures in study streams are distinguishable from those produced by other anthropogenic effects was statistically rejected. Instead, alterations in biofilm community composition, as induced by fracking, may be less specific than initially predicted, and thus more easily confounded by agriculture and urbanization effects (among others). Study streams must be carefully categorized with regard to the magnitude and extent of anthropogenic impacts. They must also be segregated with statistical confidence (as herein) before fracking impacts are monitored.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Researcher 7 15%
Student > Ph. D. Student 5 11%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Other 7 15%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 21%
Environmental Science 9 19%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 2 4%
Engineering 2 4%
Other 4 9%
Unknown 15 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 September 2017.
All research outputs
#3,247,902
of 24,546,092 outputs
Outputs from BMC Microbiology
#271
of 3,378 outputs
Outputs of similar age
#65,531
of 429,509 outputs
Outputs of similar age from BMC Microbiology
#8
of 44 outputs
Altmetric has tracked 24,546,092 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,378 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 91% of its peers.
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 429,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.