Evidence map›Paper›PMID 35749564›Full record

ArticleFEMS microbiology ecology2022

Microbial biodiversity contributes to soil carbon release: a case study on fire disturbed boreal forests.

Xuan Zhou, Hui Sun, Jussi Heinonsalo, Jukka Pumpanen, Frank Berninger

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Effects of Wildfire on Soil COMicroorganisms · 2024
    Article
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

5 authors.

Xuan ZhouDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu campus, 80101 Joensuu, Finland.ORCID 0000-0002-3602-5870
Hui SunCollaborative Innovation Center of Sustainable Forestry in China, College of Forestry, Nanjing Forestry University, 210037 Nanjing, China.
Jussi HeinonsaloDepartment of Forest Sciences, University of Helsinki, 00014 Helsinki, Finland.
Jukka PumpanenDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu campus, 80101 Joensuu, Finland.
Frank BerningerDepartment of Environmental and Biological Sciences, University of Eastern Finland, Joensuu campus, 80101 Joensuu, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities often possess enormous diversity, raising questions about whether this diversity drives ecosystem functioning, especially the influence of diversity on soil decomposition and respiration. Although functional redundancy is widely observed in soil microorganisms, evidence that species occupy distinct metabolic niches has also emerged. In this paper, we found that apart from the environmental variables, increases in microbial diversity, notably bacterial diversity, lead to an increase in soil C emissions. This was demonstrated using structural equation modelling (SEM), linking soil respiration with naturally differing levels of soil physio-chemical properties, vegetation coverage, and microbial diversity after fire disturbance. Our SEMs also revealed that models including bacterial diversity explained more variation of soil CO2 emissions (about 45%) than fungal diversity (about 38%). A possible explanation of this discrepancy is that fungi are more multifunctional than bacteria and, therefore, an increase in fungal diversity does not necessarily change soil respiration. Further analysis on functional gene structure suggested that bacterial and fungal diversities mainly explain the potential decomposition of recalcitrant C compare with that of labile C. Overall, by incorporating microbial diversity and the environmental variables, the predictive power of models on soil C emission was significantly improved, indicating microbial diversity is crucial for predicting ecosystem functions.

Indexed as

MicrobiotaSoilBacteriaBiodiversityCarbonEcosystemForestsFungiSoil MicrobiologyTaigaCarbonSoilbacterial diversityfungal diversitymicrobial community compositionmicrobial functional genessoil carbon emissionstructural equation modelling

Identifiers

PMID35749564
PMCPMC9303362

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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.