Evidence map›Paper›PMID 37307452›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Decomposition decreases molecular diversity and ecosystem similarity of soil organic matter.

Rachelle Davenport, Benjamin P Bowen, Laurel M Lynch, Suzanne M Kosina, Itamar Shabtai, Trent R Northen, Johannes Lehmann

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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.

Rachelle DavenportSoil and Crop Sciences, School of Integrative Plant Sciences, Cornell University, Ithaca, NY 14850.ORCID 0000-0001-5712-3472
Benjamin P BowenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
Laurel M LynchSoil and Crop Sciences, School of Integrative Plant Sciences, Cornell University, Ithaca, NY 14850.ORCID 0000-0002-8825-9417
Suzanne M KosinaEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.ORCID 0000-0003-2885-1248
Itamar ShabtaiSoil and Crop Sciences, School of Integrative Plant Sciences, Cornell University, Ithaca, NY 14850.ORCID 0000-0003-0593-0146
Trent R NorthenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.ORCID 0000-0001-8404-3259
Johannes LehmannSoil and Crop Sciences, School of Integrative Plant Sciences, Cornell University, Ithaca, NY 14850.ORCID 0000-0002-4701-2936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil organic matter (SOM) is comprised of a diverse array of reactive carbon molecules, including hydrophilic and hydrophobic compounds, that impact rates of SOM formation and persistence. Despite clear importance to ecosystem science, little is known about broad-scale controls on SOM diversity and variability in soil. Here, we show that microbial decomposition drives significant variability in the molecular richness and diversity of SOM between soil horizons and across a continental-scale gradient in climate and ecosystem type (arid shrubs, coniferous, deciduous, and mixed forests, grasslands, and tundra sedges). The molecular dissimilarity of SOM was strongly influenced by ecosystem type (hydrophilic compounds: 17%,

Indexed as

EcosystemForestsCarbonSoilTundraCarbonSoilfunctional diversitymolecular diversitysoil organic matter

Identifiers

PMID37307452
PMCPMC10288640

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.