Evidence map›Paper›PMID 41523317›Full record

ArticlePlant and soil2025

Effect of forest structural attributes on soil microbial diversity in mixed temperate forests.

Devara P Adiningrat, Andjin Siegenthaler, Michael Schlund, Tiejun Wang, Andrew K Skidmore, Mélody Rousseau, Marco Heurich

Abstract read
In one paragraph

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 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

7 authors.

Devara P AdiningratFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Andjin SiegenthalerFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Michael SchlundFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Tiejun WangFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Andrew K SkidmoreFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Mélody RousseauFaculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, 7522 NH The Netherlands.
Marco HeurichDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park , Freyunger Str. 2, 94481 Grafenau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Forest structures create diverse ecological niches that sustain biodiversity across various taxa. Despite their ecological importance, the relationship between forest structure and belowground biodiversity, particularly soil microbial communities (bacterial and fungal), remains underexplored. This study investigates how forest structural attributes affect soil microbial diversity and community composition in a mixed temperate forest in the Bavarian Forest National Park, Germany. Method: Forest structure variables, including stand-level attributes, structural complexity, and understory configuration, together with selected soil properties, were derived from field measurements and LiDAR data and used as predictors. Soil microbial diversity was assessed through high-throughput eDNA sequencing across 85 plots. Results: Forest structural attributes explained significant variations in soil microbial diversity, but less so for community composition. Tree size (height and diameter) had the most consistent effect on both diversity and composition, while structural complexity primarily influenced community composition. Conclusion: Forest structural attributes offer valuable insights into soil microbial diversity patterns. This study underscores the potential for integrating remote sensing and eDNA data to monitor and map belowground biodiversity on larger spatial scales. Supplementary Information: The online version contains supplementary material available at 10.1007/s11104-025-07907-4.

Indexed as

BacteriaCommunity compositioneDNAFungiRemote SensingTaxonomic richness and diversity

Identifiers

PMID41523317
PMCPMC12789230

What OpenQuestion holds

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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.