Evidence map›Paper›PMID 40941871›Full record

ArticlePlants (Basel, Switzerland)2025

Spatiotemporal Dynamics of Potential Distribution Patterns of

Yutao Weng, Jun Cao, Hao Fang, Binjian Feng, Liming Zhu, Xueyi Chu, Yajing Lu, Chunxia Han, Lu Lu, Jingbo Zhang and 1 more

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

11 authors.

Yutao WengCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.ORCID 0009-0004-7317-6696
Jun CaoState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Hao FangCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.
Binjian FengState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Liming ZhuState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Xueyi ChuCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.
Yajing LuCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.
Chunxia HanExperimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China.
Lu LuState Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Jingbo ZhangExperimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou 015200, China.
Tielong ChengCollege of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.

Funding

Nanjing Forestry University 31770715
6 · The paper itself

Abstract

Under the context of global climate change, the frequent occurrence of extreme low-temperature events poses a severe challenge to plant distribution and ecosystem stability. The arid and semi-arid regions of Northwestern China, as a sensitive response area to global change, have proven to possess significant development potential with their unique desert vegetation systems. This study focuses on the ecological adaptability mechanisms of

Indexed as

future climate scenarioshuman footprintMaxEntMESSNitraria tangutorum

Identifiers

PMID40941871
PMCPMC12430191

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.