ArticleEnvironmental science & technology2018
Patterns of Host-Associated Fecal Indicators Driven by Hydrology, Precipitation, and Land Use Attributes in Great Lakes Watersheds.
Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season.Microbiology spectrum · 2025Article
- Methodological differences between studies confound one-size-fits-all approaches to managing surface waterways for food and water safety.Applied and environmental microbiology · 2024Article
- Fecal Impairment Framework, A New Conceptual Framework for Assessing Fecal Contamination in Recreational Waters.Environmental management · 2024Article
- Antimicrobial Resistance Linked to Septic System Contamination in the Indiana Lake Michigan Watershed.Antibiotics (Basel, Switzerland) · 2023Article
- Article
- Detangling Seasonal Relationships of Fecal Contamination Sources and Correlates with Indicators in Michigan Watersheds.Microbiology spectrum · 2022Article
- Human Fecal Contamination Corresponds to Changes in the Freshwater Bacterial Communities of a Large River Basin.Microbiology spectrum · 2021Article
- Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality.Current environmental health reports · 2020Review
- Spatiotemporal variability and key influencing factors of river fecal coliform within a typical complex watershed.Water research · 2020Article
- Water quality assessment and pollution source apportionment in a highly regulated river of Northeast China.Environmental monitoring and assessment · 2020Article
- Complex Interactions Between Weather, and Microbial and Physicochemical Water Quality Impact the Likelihood of Detecting Foodborne Pathogens in Agricultural Water.Frontiers in microbiology · 2020Article
- Modeling the Effects of Future Hydroclimatic Conditions on Microbial Water Quality and Management Practices in Two Agricultural Watersheds.Transactions of the ASABE · 2020Article
- The flux and impact of wastewater infrastructure microorganisms on human and ecosystem health.Current opinion in biotechnology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Fecal contamination from sewage and agricultural runoff is a pervasive problem in Great Lakes watersheds. Most work examining fecal pollution loads relies on discrete samples of fecal indicators and modeling land use. In this study, we made empirical measurements of human and ruminant-associated fecal indicator bacteria and combined these with hydrological measurements in eight watersheds ranging from predominantly forested to highly urbanized. Flow composited river samples were collected over low-flow ( n = 89) and rainfall or snowmelt runoff events ( n = 130). Approximately 90% of samples had evidence of human fecal pollution, with highest loads from urban watersheds. Ruminant indicators were found in ∼60-100% of runoff-event samples in agricultural watersheds, with concentrations and loads related to cattle density. Rain depth, season, agricultural tile drainage, and human or cattle density explained variability in daily flux of human or ruminant indicators. Mapping host-associated indicator loads to watershed discharge points sheds light on the type, level, and possible health risk from fecal pollution entering the Great Lakes and can inform total maximum daily load implementation and other management practices to target specific fecal pollution sources.
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Registered trials
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