Evidence map›Paper›PMID 38601935›Full record

ArticleFrontiers in microbiology2024

Differential effects of warming on the complexity and stability of the microbial network in

Lixin Pei, Siyuan Ye, Liujuan Xie, Pan Zhou, Lei He, Shixiong Yang, Xigui Ding, Hongming Yuan, Tianjiao Dai, Edward A Laws

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2024. 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
2.3field-weighted citation impact, top 13% of its field
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, 5 citations in OpenAlex.

  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

10 authors at 4 institutions in 2 countries.

Lixin PeiQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Siyuan YeQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Liujuan XieQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Pan ZhouQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Lei HeQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Shixiong YangQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Xigui DingQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Hongming YuanQingdao Institute of Marine Geology, China Geologic Survey, Qingdao, China.
Tianjiao DaiSchool of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, China.
Edward A LawsDepartment of Environmental Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, United States.
Qingdao Institute of Marine Geology · CNQingdao National Laboratory for Marine Science and Technology · CNChina University of Geosciences (Beijing) · CNLouisiana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of climate warming on soil microbial communities can significantly influence the global carbon cycle. Coastal wetlands, in particular, are susceptible to changes in soil microbial community structure due to climate warming and the presence of invasive plant species. However, there is limited knowledge about how native and invasive plant wetland soil microbes differ in their response to warming. In this study, we investigated the temporal dynamics of soil microbes (prokaryotes and fungi) under experimental warming in two coastal wetlands dominated by native

Indexed as

carbon sequestrationclimate changecoastal wetlandmicrobial networkmicroorganism

Identifiers

PMID38601935
PMCPMC11004437
OpenAlexW4393229187

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.