Evidence map›Paper›PMID 41640780›Full record

ArticleFrontiers in plant science2025

Alterations in microhabitat can impact litter decomposition by modifying the litter C/N ratio and regulating soil microbial activity.

Meiqi Li, Jianian Wang, Xiangyi Li

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. 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

3 authors.

Meiqi LiXinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.
Jianian WangXinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.
Xiangyi LiXinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Under extreme drought conditions, the mechanisms of litter decomposition and the associated microbial activities differ significantly from those in non-drought regions. These differences are primarily attributed to reduced precipitation, sparse vegetation cover, intense solar radiation, and unstable soil environments. However, it remains unclear how alterations in litter properties and soil microbial communities-induced by changes in the microenvironment under extreme drought-affect the processes of litter decomposition. Methods: To address this issue, we selected two distinct habitat types, applied two sand-burial treatments (surface vs. 15 cm depth), and employed the litterbag method to investigate how variations in microenvironmental conditions influence litter decomposition via changes in litter quality and soil microbial communities. Results: The results indicated that in vegetated areas, sand burial enhanced nitrogen (N) release from litter by 16.56%, accelerated carbon (C) release by 13.13%, and significantly increased mass loss by 7.50%. Structural equation modeling further revealed that Discussion: In summary, modifications to the microenvironment influence litter decomposition by altering nutrient release and the composition of soil microbial communities, ultimately affecting ecosystem C and N cycling in arid environments.

Indexed as

litter decompositionmicrohabitatsnutrient releasephotodegradationsand burialsoil microorganisms

Identifiers

PMID41640780
PMCPMC12864463

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Registered trials

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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.