Evidence map›Paper›PMID 31431661›Full record

ArticleScientific reports2019

A hierarchy of environmental covariates control the global biogeography of soil bacterial richness.

Samuel Bickel, Xi Chen, Andreas Papritz, Dani Or

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Samuel BickelSoil, Terrestrial and Environmental Physics (STEP), Institute of Biogeochemistry and Pollutant dynamics (IBP), Swiss Federal Institute of Technology (ETH), 8092, Zürich, Switzerland. samuel.bickel@usys.ethz.ch.ORCID http://orcid.org/0000-0002-9839-4591
Xi ChenSoil, Terrestrial and Environmental Physics (STEP), Institute of Biogeochemistry and Pollutant dynamics (IBP), Swiss Federal Institute of Technology (ETH), 8092, Zürich, Switzerland.
Andreas PapritzSoil, Terrestrial and Environmental Physics (STEP), Institute of Biogeochemistry and Pollutant dynamics (IBP), Swiss Federal Institute of Technology (ETH), 8092, Zürich, Switzerland.
Dani OrSoil, Terrestrial and Environmental Physics (STEP), Institute of Biogeochemistry and Pollutant dynamics (IBP), Swiss Federal Institute of Technology (ETH), 8092, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-3236-2933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil bacterial communities are central to ecosystem functioning and services, yet spatial variations in their composition and diversity across biomes and climatic regions remain largely unknown. We employ multivariate general additive modeling of recent global soil bacterial datasets to elucidate dependencies of bacterial richness on key soil and climatic attributes. Although results support the well-known association between bacterial richness and soil pH, a hierarchy of novel covariates offers surprising new insights. Defining climatic soil water content explains both, the extent and connectivity of aqueous micro-habitats for bacterial diversity and soil pH, thus providing a better causal attribution. Results show that globally rare and abundant soil bacterial phylotypes exhibit different levels of dependency on environmental attributes. Surprisingly, the strong sensitivity of rare bacteria to certain environmental conditions improves their predictability relative to more abundant phylotypes that are often indifferent to variations in environmental drivers.

Indexed as

BacteriaEnvironmentSoil MicrobiologyBiodiversityGeographyHydrogen-Ion ConcentrationModels, TheoreticalMultivariate AnalysisRNA, BacterialRNA, Ribosomal, 16SSpatial AnalysisRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID31431661
PMCPMC6702155

What OpenQuestion holds

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LicenceCC BY
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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.