Evidence map›Paper›PMID 33755017›Full record

ArticleeLife2021

Diversity and asynchrony in soil microbial communities stabilizes ecosystem functioning.

Cameron Wagg, Yann Hautier, Sarah Pellkofer, Samiran Banerjee, Bernhard Schmid, Marcel Ga van der Heijden

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 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

6 authors.

Cameron Wagg *Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland.ORCID 0000-0002-9738-6901
Yann Hautier *Ecology and Biodiversity Group, Department of Biology, Utrecht University, Padualaan, Netherlands.
Sarah Pellkofer *Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland.ORCID 0000-0003-0208-0350
Samiran BanerjeePlant-Soil Interactions, Research Division Agroecology and Environment, Agroscope, Zürich, Switzerland.
Bernhard SchmidDepartment of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland.ORCID 0000-0002-8430-3214
Marcel Ga van der HeijdenDepartment of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland.

Funding

Deutsche Forschungsgemeinschaft FOR 1451Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 137136
6 · The paper itself

Abstract

Theoretical and empirical advances have revealed the importance of biodiversity for stabilizing ecosystem functions through time. Despite the global degradation of soils, whether the loss of soil microbial diversity can destabilize ecosystem functioning is poorly understood. Here, we experimentally quantified the contribution of soil fungal and bacterial communities to the temporal stability of four key ecosystem functions related to biogeochemical cycling. Microbial diversity enhanced the temporal stability of all ecosystem functions and this pattern was particularly strong in plant-soil mesocosms with reduced microbial richness where over 50% of microbial taxa were lost. The stabilizing effect of soil biodiversity was linked to asynchrony among microbial taxa whereby different soil fungi and bacteria promoted different ecosystem functions at different times. Our results emphasize the need to conserve soil biodiversity for the provisioning of multiple ecosystem functions that soils provide to the society.

Indexed as

Bacterial Physiological PhenomenaEcosystemMicrobiotaSoil MicrobiologyFungiGermanySwitzerlandecologygrassland plantsplant communitysoil bacteriasoil communitysoil fungi

Identifiers

PMID33755017
PMCPMC7987343

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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.