Evidence map›Paper›PMID 40572279›Full record

ArticleMicroorganisms2025

Interactive Effects of Precipitation and Nitrogen on Soil Microbial Communities in a Desert Ecosystem.

Qianqian Dong, Zhanquan Ji, Hui Wang, Wan Duan, Wenli Cao, Wenshuo Li, Yangyang Jia

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Qianqian DongCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Zhanquan JiCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Hui WangCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Wan DuanCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Wenli CaoCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Wenshuo LiCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.
Yangyang JiaCollege of Ecology and Environment, Xinjiang University, Urumqi 830046, China.ORCID 0000-0003-3991-5606

Funding

National Natural Science Foundation of China 32101304National Natural Science Foundation of China 32460321
6 · The paper itself

Abstract

Increased precipitation and nitrogen (N) deposition critically influence ecological processes and stability in desert ecosystems. Studying how the soil microbial community responds to these climatic changes will improve our understanding of the impacts of climate changes on arid environments. Therefore, we conducted a field experiment in the Gurbantunggut Desert, applying phospholipid fatty acid (PLFA) analysis to assess the responses of soil microbial community to climate change. We found that in years with normal precipitation, increased precipitation promoted soil bacterial growth, whereas in drought years, increased N deposition promoted soil bacterial growth more effectively. Although soil microbial diversity did not change significantly overall, it decreased with increasing N deposition. Random forest analysis and linear regression analysis indicated that soil pH and microbial biomass carbon (MBC) were the main drivers for the changes in soil microbial community. Structural equation modeling (SEM) further revealed that increased precipitation increased soil Gram-positive bacteria (G

Indexed as

Gurbantunggut desertincreased precipitationnitrogen depositionphospholipid fatty acidsoil microbial community

Identifiers

PMID40572279
PMCPMC12196170

What OpenQuestion holds

Textmetadata
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.