Evidence map›Paper›PMID 38627563›Full record

ArticleScientific reports2024

The role of leaf superoxide dismutase and proline on intra-specific photosynthesis recovery of Schima superba following drought.

Honglang Duan, Changchang Shao, Nan Zhao, Defu Wang, Víctor Resco de Dios, David T Tissue

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

Article in Scientific reports, 2024. 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
2.4field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

6 authors at 5 institutions in 3 countries.

Honglang Duan *Institute for Forest Resources & Environment of Guizhou, College of Forestry, Guizhou University, Guiyang, 550025, China. hlduan@gzu.edu.cn.
Changchang Shao *Institute for Forest Resources & Environment of Guizhou, College of Forestry, Guizhou University, Guiyang, 550025, China.
Nan ZhaoJiangxi Provincial Key Laboratory for Restoration of Degraded Ecosystems & Watershed Ecohydrology, Nanchang Institute of Technology, Nanchang, 330099, China.
Defu WangResearch Center of Sichuan Old Revolutionary Areas Development, Sichuan University of Arts and Science, Dazhou, 635000, China.
Víctor Resco de DiosDepartment of Crop and Forest Sciences, University of Lleida, 25198, Lleida, Spain.
David T TissueHawkesbury Institute for the Environment, Hawkesbury Campus, Western Sydney University, Richmond, NSW, 2753, Australia.
Guizhou University · CNNanchang Institute of Technology · CNSichuan University of Arts and Science · CNUniversitat de Lleida · ESWestern Sydney University · AU

Funding

Natural Science Talent Funding of Guizhou University 202132
6 · The paper itself

Abstract

Understanding the physiological and biochemical responses of tree seedlings under extreme drought stress, along with recovery during rewatering, and potential intra-species differences, will allow us to more accurately predict forest responses under future climate change. Here, we selected seedlings from four provenances (AH (Anhui), JX (Jiangxi), HN (Hunan) and GX (Guangxi)) of Schima superba and carried out a simulated drought-rewatering experiment in a field-based rain-out shelter. Seedlings were progressively dried until they reached 50% and 88% loss of xylem hydraulic conductivity (PLC) (i.e. P

Indexed as

DroughtsSuperoxide DismutaseChinaPhotosynthesisPlant LeavesProlineSeedlingsTreesWaterProlineSuperoxide DismutaseWaterBiochemistryExtreme droughtGas exchangeIntraspeciesRecoveryWater status

Identifiers

PMID38627563
PMCPMC11021533
OpenAlexW4394873132

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.