Evidence map›Paper›PMID 41042127›Full record

ArticleEcology letters2025

Belowground Communities in Lowlands Are Less Stable to Heat Extremes Across Seasons.

Gerard Martínez-De León, Ludovico Formenti, Jörg-Alfred Salamon, Madhav P Thakur

Abstract read
In one paragraph

Article in Ecology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Gerard Martínez-De LeónInstitute of Ecology and Evolution, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-5890-7391
Ludovico FormentiInstitute of Ecology and Evolution, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-3179-8935
Jörg-Alfred SalamonInstitute of Animal Ecology & Field Station Schapen, University of Veterinary Medicine Hannover, Hannover, Germany.
Madhav P ThakurInstitute of Ecology and Evolution, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0001-9426-1313

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_212550Staatssekretariat für Bildung, Forschung und Innovation M822.00029
6 · The paper itself

Abstract

Ecological responses to climate extremes vary drastically in different spatiotemporal contexts. Here, we investigate how soil communities at high- and low-elevation sites respond to extreme heat events in different seasons (spring, summer and autumn). We simulated 1-week heat events based on site-specific climatic history in laboratory experiments using 360 field-collected soil cores and measured the resistance and recovery of two major groups of soil biota: Collembola and fungi. We found that Collembola communities from low elevations exhibited the lowest resistance to extreme heat in spring and summer, with full recovery occurring primarily in spring soils. Fungal communities remained generally stable, though pathogens increased their relative abundances following summer heat events. Network analysis revealed increased connectance of negative associations between Collembola and fungi in response to extreme heat. We provide experimental evidence for how heat events can restructure and destabilise ecological communities depending on spatiotemporal contexts like elevation and seasonality.

Indexed as

ArthropodsExtreme HeatFungiHot TemperatureSoil MicrobiologyAltitudeAnimalsSeasonsCollembolaconnectanceelevationfungijoint species distribution modelphenologyrange contractionrecoveryresistancethermal vulnerability

Identifiers

PMID41042127
PMCPMC12493265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.