Evidence map›Paper›PMID 21466151›Full record

ArticleEnvironmental science & technology2011

Hypothesis-driven approach for the identification of fecal pollution sources in water resources.

G H Reischer, D Kollanur, J Vierheilig, C Wehrspaun, R L Mach, R Sommer, H Stadler, A H Farnleitner

Abstract read
In one paragraph

Article in Environmental science & technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  15. Microbial Source Tracking in Adjacent Karst Springs.Applied and environmental microbiology · 2015
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  18. Reservoirs of listeria species in three environmental ecosystems.Applied and environmental microbiology · 2014
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

G H ReischerResearch Group Environmental Microbiology and Molecular Ecology, Division Gene Technology and Applied Biochemistry, Institute of Chemical Engineering, Vienna University of Technology, Vienna, Austria.
D Kollanur
J Vierheilig
C Wehrspaun
R L Mach
R Sommer
H Stadler
A H Farnleitner
TU Wien · ATJoanneum Research · ATMedical University of Vienna · AT

Funding

Austrian Science Fund FWF L 414
6 · The paper itself

Abstract

Water resource management must strive to link catchment information with water quality monitoring. The present study attempted this for the field of microbial fecal source tracking (MST). A fecal pollution source profile based on catchment data (e.g., prevalence of fecal sources) was used to formulate a hypothesis about the dominant sources of pollution in an Austrian mountainous karst spring catchment. This allowed a statistical definition of methodical requirements necessary for an informed choice of MST methods. The hypothesis was tested in a 17-month investigation of spring water quality. The study followed a nested sampling design in order to cover the hydrological and pollution dynamics of the spring and to assess effects such as differential persistence between parameters. Genetic markers for the potential fecal sources as well as microbiological, hydrological, and chemo-physical parameters were measured. The hypothesis that ruminant animals were the dominant sources of fecal pollution in the catchment was clearly confirmed. It was also shown that the concentration of ruminant markers in feces was equally distributed in different ruminant source groups. The developed approach provides a tool for careful decision-making in MST study design and might be applied on various types of catchments and pollution situations.

Indexed as

Water MicrobiologyAnimalsAustriaBacteroidetesEnvironmental MonitoringFecesRuminantsSoil MicrobiologyWater PollutionWater Supply

Identifiers

PMID21466151
PMCPMC3084580
OpenAlexW1963699226

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.