Evidence map›Paper›PMID 33712699›Full record

ArticleThe ISME journal2021

Predicting spatial patterns of soil bacteria under current and future environmental conditions.

Heidi K Mod, Aline Buri, Erika Yashiro, Nicolas Guex, Lucie Malard, Eric Pinto-Figueroa, Marco Pagni, Hélène Niculita-Hirzel, Jan Roelof van der Meer, Antoine Guisan

Abstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. The phenotypic landscape of the model firmicuteProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Biodiversity in mountain soils above the treeline.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
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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

10 authors.

Heidi K ModDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland. heidi.mod@helsinki.fi.ORCID http://orcid.org/0000-0001-7800-2688
Aline BuriInstitute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland.
Erika YashiroDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Nicolas GuexBioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-6023-0519
Lucie MalardDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-9988-2127
Eric Pinto-FigueroaTerrabiom, Essert-sous-Champvent, Switzerland.
Marco PagniVital-IT, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Hélène Niculita-HirzelDepartment of Occupational Health and Environment, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Jan Roelof van der MeerDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-1485-3082
Antoine GuisanDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil bacteria are largely missing from future biodiversity assessments hindering comprehensive forecasts of ecosystem changes. Soil bacterial communities are expected to be more strongly driven by pH and less by other edaphic and climatic factors. Thus, alkalinisation or acidification along with climate change may influence soil bacteria, with subsequent influences for example on nutrient cycling and vegetation. Future forecasts of soil bacteria are therefore needed. We applied species distribution modelling (SDM) to quantify the roles of environmental factors in governing spatial abundance distribution of soil bacterial OTUs and to predict how future changes in these factors may change bacterial communities in a temperate mountain area. Models indicated that factors related to soil (especially pH), climate and/or topography explain and predict part of the abundance distribution of most OTUs. This supports the expectations that microorganisms have specific environmental requirements (i.e., niches/envelopes) and that they should accordingly respond to environmental changes. Our predictions indicate a stronger role of pH over other predictors (e.g. climate) in governing distributions of bacteria, yet the predicted future changes in bacteria communities are smaller than their current variation across space. The extent of bacterial community change predictions varies as a function of elevation, but in general, deviations from neutral soil pH are expected to decrease abundances and diversity of bacteria. Our findings highlight the need to account for edaphic changes, along with climate changes, in future forecasts of soil bacteria.

Indexed as

EcosystemSoilBacteriaBiodiversitySoil MicrobiologySoil

Identifiers

PMID33712699
PMCPMC8397778

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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.