Evidence map›Paper›PMID 29089496›Full record

ArticleNature communications2017

Microbial community-level regulation explains soil carbon responses to long-term litter manipulations.

Katerina Georgiou, Rose Z Abramoff, John Harte, William J Riley, Margaret S Torn

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Katerina GeorgiouDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, 94720, USA. kgeorgiou@berkeley.edu.ORCID http://orcid.org/0000-0002-2819-3292
Rose Z AbramoffClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-3393-3064
John HarteEnergy and Resources Group, University of California, Berkeley, CA, 94720, USA.
William J RileyClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
Margaret S TornClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. mstorn@lbl.gov.ORCID http://orcid.org/0000-0002-8174-0099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic, atmospheric, and land-use changes all have the potential to alter soil microbial activity, mediated by changes in plant inputs. Many microbial models of soil organic carbon (SOC) decomposition have been proposed recently to advance prediction of climate and carbon (C) feedbacks. Most of these models, however, exhibit unrealistic oscillatory behavior and SOC insensitivity to long-term changes in C inputs. Here we diagnose the source of these problems in four archetypal models and propose a density-dependent formulation of microbial turnover, motivated by community-level interactions, that limits population sizes and reduces oscillations. We compare model predictions to 24 long-term C-input field manipulations and identify key benchmarks. The proposed formulation reproduces soil C responses to long-term C-input changes and implies greater SOC storage associated with CO

Indexed as

Soil MicrobiologyBiomassCarbonModels, TheoreticalOrganic ChemicalsPlant LeavesSoilCarbonOrganic ChemicalsSoil

Identifiers

PMID29089496
PMCPMC5663850

What OpenQuestion holds

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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.