Evidence map›Paper›PMID 32371877›Full record

ArticleNature communications2020

Mutualist and pathogen traits interact to affect plant community structure in a spatially explicit model.

John W Schroeder, Andrew Dobson, Scott A Mangan, Daniel F Petticord, Edward Allen Herre

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2020. 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 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.

  1. Article
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  8. A quantitative synthesis of soil microbial effects on plant species coexistence.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Walrasian equilibrium behavior in nature.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

John W SchroederSmithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama. john.will.schroeder@gmail.com.ORCID http://orcid.org/0000-0003-3043-2261
Andrew DobsonPrinceton University, Princeton, NJ, USA.
Scott A ManganSmithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama.
Daniel F PetticordSmithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama.ORCID http://orcid.org/0000-0002-1764-6321
Edward Allen HerreSmithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Empirical studies show that plant-soil feedbacks (PSF) can generate negative density dependent (NDD) recruitment capable of maintaining plant community diversity at landscape scales. However, the observation that common plants often exhibit relatively weaker NDD than rare plants at local scales is difficult to reconcile with the maintenance of overall plant diversity. We develop a spatially explicit simulation model that tracks the community dynamics of microbial mutualists, pathogens, and their plant hosts. We find that net PSF effects vary as a function of both host abundance and key microbial traits (e.g., host affinity) in ways that are compatible with both common plants exhibiting relatively weaker local NDD, while promoting overall species diversity. The model generates a series of testable predictions linking key microbial traits and the relative abundance of host species, to the strength and scale of PSF and overall plant community diversity.

Indexed as

EcosystemSoil MicrobiologyAlgorithmsFeedback, PhysiologicalHost Microbial InteractionsModels, TheoreticalMycorrhizaePlantsSoilSpecies SpecificitySymbiosisSoil

Identifiers

PMID32371877
PMCPMC7200732

What OpenQuestion holds

Textmetadata
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.