Evidence map›Paper›PMID 34371677›Full record

ArticlePlants (Basel, Switzerland)2021

Effects of the Simulated Enhancement of Precipitation on the Phenology of

Fang Bao, Zhiming Xin, Jiazhu Li, Minghu Liu, Yanli Cao, Qi Lu, Ying Gao, Bo Wu

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Fang BaoInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Zhiming XinExperimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China.
Jiazhu LiInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Minghu LiuExperimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China.
Yanli CaoInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Qi LuInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Ying GaoInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.ORCID 0000-0002-0143-8771
Bo WuInstitute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Chinese Academy of Forestry · CN

Funding

National Key Research and Development Project 2020YFF0305905-02National Natural Science Foundation of China 31400421
6 · The paper itself

Abstract

Plant phenology is the most sensitive biological indicator that responds to climate change. Many climate models predict that extreme precipitation events will occur frequently in the arid areas of northwest China in the future, with an increase in the quantity and unpredictability of rain. Future changes in precipitation will inevitably have a profound impact on plant phenology in arid areas. A recent study has shown that after the simulated enhancement of precipitation, the end time of the leaf unfolding period of

Indexed as

desert plantsextremely droughtextremely humidityirrigationplant phenology

Identifiers

PMID34371677
PMCPMC8309252
OpenAlexW3184529123

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.