Evidence map›Paper›PMID 41607130›Full record

ArticleMolecular ecology2026

Land Use Change Reshapes Climate-Driven Diversity Patterns of Tropical Arbuscular Mycorrhizal Fungi.

Justin D Stewart, Dario X Ramirez, Antonio Leon-Reyes, Noelia Barriga, Sol Llerena, Bethan F Manley, Natalia Carpintero-Salvador, Melany Ruiz-Uriguen, Jos M Raaijmakers, E Toby Kiers and 1 more

Abstract read
In one paragraph

Article in Molecular ecology, 2026. 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.

  1. Review
  2. Article
  3. 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

11 authors.

Justin D StewartAmsterdam Institute for Life and Environment (A-LIFE), Section Ecology & Evolution, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-7812-5095
Dario X RamirezLaboratorio de Biotecnología Agrícola y de Alimentos, Ingeniería en Agronomía, Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito USFQ, Campus Cumbayá, Quito, Ecuador.
Antonio Leon-ReyesLaboratorio de Biotecnología Agrícola y de Alimentos, Ingeniería en Agronomía, Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito USFQ, Campus Cumbayá, Quito, Ecuador.ORCID https://orcid.org/0000-0001-9142-9694
Noelia BarrigaLaboratorio de Biotecnología Agrícola y de Alimentos, Ingeniería en Agronomía, Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito USFQ, Campus Cumbayá, Quito, Ecuador.
Sol LlerenaLaboratorio de Biotecnología Agrícola y de Alimentos, Ingeniería en Agronomía, Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito USFQ, Campus Cumbayá, Quito, Ecuador.
Bethan F ManleySociety for the Protection of Underground Networks (SPUN), Wilmington, Delaware, USA.ORCID https://orcid.org/0000-0002-0137-6953
Natalia Carpintero-SalvadorCore Lab de Ciencias Ambientales, Decanato de Investigación, Universidad San Francisco de Quito USFQ, Quito, Ecuador.
Melany Ruiz-UriguenCore Lab de Ciencias Ambientales, Decanato de Investigación, Universidad San Francisco de Quito USFQ, Quito, Ecuador.
Jos M RaaijmakersDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, the Netherlands.ORCID https://orcid.org/0000-0003-1608-6614
E Toby KiersAmsterdam Institute for Life and Environment (A-LIFE), Section Ecology & Evolution, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-0597-1653
James T WeedonAmsterdam Institute for Life and Environment (A-LIFE), Section Systems Ecology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0003-0491-8719

Funding

Jeremy and Hannelore Grantham Environmental TrustNederlandse Organisatie voor Wetenschappelijk Onderzoek MICROP 024.004.014Paul G. Allen Family FoundationSchmidt Family Foundation
6 · The paper itself

Abstract

Land use change and agricultural expansion threaten biodiversity yet the effects on soil life remain poorly understood, especially for microbes. Arbuscular mycorrhizal (AM) fungi are microbes that form associations with most plant species and are essential for plant nutrient uptake. The diversity of these fungi is also sensitive to both land use change and regional climatic conditions. We therefore asked whether variation in AM fungal diversity is driven by land use change, and whether these effects are further influenced by interactions with temperature and precipitation gradients. To test this, we quantified AM fungal biodiversity in cultivated and adjacent uncultivated soils across a 1700 m elevational gradient (temperature: 7.7°C-16.5°C and precipitation: 1000-3500 mm). We found that conversion of uncultivated soils to agriculture reduced AM fungal richness by 80%, on average. Richness in uncultivated soils increased with the temperature gradient, while richness in farms declined. A similar but inverted trend was found for precipitation, where richness in uncultivated sites declined as precipitation increased. Uncultivated soils contained approximately three-fold more unique AM fungal species compared to cultivated soils. Our findings demonstrate that interactions between climate and land use strongly influence AM fungal biodiversity patterns in tropical mountain ecosystems. Incorporating both factors into conservation and sustainable agriculture strategies will be critical to preserving belowground biodiversity under global change.

Indexed as

BiodiversityMycorrhizaeSoil MicrobiologyAgricultureEcosystemSoilTemperatureTropical ClimateSoilarbuscular mycorrhizal fungibiodiversityclimateland usetropical mountain ecosystem

Identifiers

PMID41607130
PMCPMC12853079

What OpenQuestion holds

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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.