Evidence map›Paper›PMID 34741067›Full record

ArticleScientific reports2021

Land use influences stream bacterial communities in lowland tropical watersheds.

Karina A Chavarria, Kristin Saltonstall, Jorge Vinda, Jorge Batista, Megan Lindmark, Robert F Stallard, Jefferson S Hall

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

7 authors.

Karina A ChavarriaSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama. Kari07cha@gmail.com.
Kristin SaltonstallSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.
Jorge VindaSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.
Jorge BatistaSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.
Megan LindmarkSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.
Robert F StallardSmithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.
Jefferson S HallForestGEO, Smithsonian Tropical Research Institute (STRI), Apartado 08-43-0392, Balboa, Ancon, Panama.

Funding

Edward M. and Jeanne C. Kashian and the Simons Foundation 429440
6 · The paper itself

Abstract

Land use is known to affect water quality yet the impact it has on aquatic microbial communities in tropical systems is poorly understood. We used 16S metabarcoding to assess the impact of land use on bacterial communities in the water column of four streams in central Panama. Each stream was influenced by a common Neotropical land use: mature forest, secondary forest, silvopasture and traditional cattle pasture. Bacterial community diversity and composition were significantly influenced by nearby land uses. Streams bordered by forests had higher phylogenetic diversity (Faith's PD) and similar community structure (based on weighted UniFrac distance), whereas the stream surrounded by traditional cattle pasture had lower diversity and unique bacterial communities. The silvopasture stream showed strong seasonal shifts, with communities similar to forested catchments during the wet seasons and cattle pasture during dry seasons. We demonstrate that natural forest regrowth and targeted management, such as maintaining and restoring riparian corridors, benefit stream-water microbiomes in tropical landscapes and can provide a rapid and efficient approach to balancing agricultural activities and water quality protection.

Identifiers

PMID34741067
PMCPMC8571290

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LicenceCC BY
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Registered trials

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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.