Evidence map›Paper›PMID 41853881›Full record

ArticleEnvironmental microbiology reports2026

Unveiling the Hidden Drivers: How Vegetation Cover, Season and Forest Management Shape the Soil Microbial Community in Two Mediterranean Forest Ecosystems.

Enrica Picariello, Flavia De Nicola

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Enrica PicarielloDepartment of Sciences and Technologies, University of Sannio, Benevento, Italy.ORCID https://orcid.org/0000-0003-2384-5391
Flavia De NicolaDepartment of Sciences and Technologies, University of Sannio, Benevento, Italy.ORCID https://orcid.org/0000-0002-2911-6854

Funding

Fondo di Ricerca di Ateneo FRA 2023
6 · The paper itself

Abstract

Soil provides essential ecosystem services and serves as a habitat for biodiversity, but it is often affected by disturbances from management practices and seasonal changes, which can alter its microbial communities. This study investigated the combined effects of dominant vegetation, forest management, and seasonal variation on soil microbial communities and enzyme activity over one year in turkey oak and beech forests managed as high forest or coppice. Results showed that the dominant vegetation type had a greater influence on microbial communities than seasonal changes. While forest management did not significantly affect microbial activity, it altered microbial community composition. In beech forests, bacterial communities (at the order level) showed relative abundances higher in soil under high forest with respect to coppice, whereas the fungal community showed orders most abundant under coppice management with respect to the high forest. Forest management changed the relative abundances of microbial communities, but it did not remarkably affect microbial community functions and, thus, the associated ecosystem services. Our results highlight that the forest type should be considered when evaluating forest management. This study offers new insights into the factors influencing the composition of soil microbial communities and their associated ecosystem functions.

Indexed as

ForestryForestsMicrobiotaSoil MicrobiologyBacteriaBiodiversityEcosystemFagusFungiMediterranean RegionQuercusSeasonsSoilTreesSoilCLPPDNA analysesenzyme activityforest soil microbiomeinteractive effectmicrobial community functionmicrobial community structure

Identifiers

PMID41853881
PMCPMC13053141

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.