Evidence map›Paper›PMID 40621105›Full record

ArticlePlant and soil2025

Plant-soil feedback responses to drought are species-specific and only marginally predicted by root traits.

Eileen Enderle, Fangbin Hou, Leonardo Hinojosa, Hidde Kottman, Nigâr Kasirga, Franciska T de Vries

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Article in Plant and soil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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.

Eileen EnderleInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-6229-8098
Fangbin HouInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4336-3288
Leonardo HinojosaInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-4248-9065
Hidde KottmanInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
Nigâr KasirgaInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
Franciska T de VriesInstitute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-6822-8883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The increasing occurrence of extreme drought events under climate change alters the composition and functioning of plant communities worldwide. Drought-induced changes in plant-soil feedback (PSF), reciprocal effects on fitness between plants and their associated soil microbial communities, are one mechanism through which these changes in vegetation occur, but they remain difficult to predict. Because of their direct link to rhizosphere microbial communities, we expect root traits to predict drought-induced PSF shifts. Methods: In the conditioning phase of a greenhouse experiment, we subjected 12 common grassland species to drought. In the feedback phase, all species were grown under ambient conditions with their own microbial inoculum. Their growth was compared to growth in sterile soil to assess total PSF or soil inoculated with microbes from three other species to assess specific PSF. We used root traits to predict PSF under drought and ambient conditions. Results: Drought altered the magnitude and direction of PSF in a quarter of the species, which was consistent between total and specific PSF. Total PSF was best predicted by the first axis of the root trait space (high specific root length to high root diameter and root nitrogen content) and was not responsive to drought. Specific PSF was weakly predicted by root traits and changed in response to drought. Conclusion: Our results show that drought can modify the feedbacks between plants and their microbial communities with implications for vegetation dynamics. Root traits have limited capacity to predict these shifts, but can predict PSF of the total microbial community independent of drought. Supplementary Information: The online version contains supplementary material available at 10.1007/s11104-024-07049-z.

Indexed as

DroughtGrasslandPlant-soil feedbackRoot exudationRoot traitsSoil microbes

Identifiers

PMID40621105
PMCPMC12227364

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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.