Evidence map›Paper›PMID 32245755›Full record

ArticleApplied and environmental microbiology2020

Headwater Stream Microbial Diversity and Function across Agricultural and Urban Land Use Gradients.

Sarah M Laperriere, Robert H Hilderbrand, Stephen R Keller, Regina Trott, Alyson E Santoro

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

5 authors.

Sarah M LaperriereHorn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, USA.
Robert H HilderbrandAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland, USA.
Stephen R KellerAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland, USA.
Regina TrottAppalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, Maryland, USA.
Alyson E SantoroDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California, USA asantoro@ucsb.edu.ORCID 0000-0003-2503-8219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic activity impacts stream ecosystems, resulting in a loss of diversity and ecosystem function; however, little is known about the response of aquatic microbial communities to changes in land use. Here, microbial communities were characterized in 82 headwater streams across a gradient of urban and agricultural land uses using 16S rRNA gene amplicon sequencing and compared to a rich data set of physicochemical variables and traditional benthic invertebrate indicators. Microbial diversity and community structures differed among watersheds with high agricultural, urban, and forested land uses, and community structure differed in streams classified as being in good, fair, poor, and very poor condition using benthic invertebrate indicators. Microbial community similarity decayed with geodesic distance across the study region but not with environmental distance. Stream community respiration rates ranged from 21.7 to 1,570 mg O

Indexed as

MicrobiotaAgricultureArchaeaBacteriaCitiesMarylandRiversRNA, ArchaealRNA, BacterialRNA, Ribosomal, 16SSeasonsRNA, ArchaealRNA, BacterialRNA, Ribosomal, 16Saquatic ecosystemsBenthic Index of Biotic IntegrityChesapeake Baynitrous oxiderespirationspecies-area curvesspecies-area relationships

Identifiers

PMID32245755
PMCPMC7237783

What OpenQuestion holds

Textmetadata
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.