Evidence map›Paper›PMID 40941794›Full record

ArticlePlants (Basel, Switzerland)2025

Analysis of Coupled Response Characteristics of NAI Release and Stem Flow in Four Urban Greening Tree Species in Beijing During Drought Stress and Recovery Processes.

Xueqiang Liu, Bin Li, Weikang Zhang, Shaowei Lu, Jigui Wu, Jing An, Yaqian Fan, Na Zhao, Xiaotian Xu, Shaoning Li

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

10 authors.

Xueqiang LiuInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.
Bin LiInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.ORCID 0009-0001-8736-3941
Weikang ZhangCollege of Forestry, Shenyang Agricultural University, Shenyang 110866, China.ORCID 0000-0001-7269-3393
Shaowei LuInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.
Jigui WuBeijing Songshan Natural Reserve Administration, Beijing 102115, China.
Jing AnBeijing Songshan Natural Reserve Administration, Beijing 102115, China.
Yaqian FanBeijing Songshan Natural Reserve Administration, Beijing 102115, China.
Na ZhaoInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.
Xiaotian XuInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.ORCID 0000-0002-8529-9843
Shaoning LiInstitute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China.

Funding

Funding Projects of the Innovative Capability Building in Beijing Academy of Agriculture and Forestry Sciences KJCX20251202
6 · The paper itself

Abstract

Negative air ions (NAI) represent an important ecological value indicator for green tree species. Flow of sap is a crucial indicator for water utilization and physiological state of trees. Although there have been some advancements in studies on the correlation between the release of NAI by plants and sap flow in recent years, it is still unclear how the release of NAI by plants changes during drought stress and recovery processes, as well as the coupling effect between the release of NAI by plants and sap flow under drought stress. In this context, four typical green tree species,

Indexed as

drought stressgreening tree speciesnegative air ionsopen-top chamber (OTC)sap flow

Identifiers

PMID40941794
PMCPMC12429876

What OpenQuestion holds

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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.