Evidence map›Paper›PMID 38068700›Full record

ArticlePlants (Basel, Switzerland)2023

Relict Plants Are Better Able to Adapt to Climate Change: Evidence from Desert Shrub Communities.

Ying Lu, Boran Zhang, Min Zhang, Meiyu Jie, Siqi Guo, Yange Wang

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Ying LuSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Boran ZhangSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Min ZhangSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Meiyu JieSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Siqi GuoSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.
Yange WangSchool of Architecture, Inner Mongolia University of Technology, Hohhot 010051, China.

Funding

the Central Guidance for Local Science and Technology Development Projects NO:2022ZY0137the Inner Mongolia Natural Science Foundation NO:2019MS03082the Inner Mongolia University of Technology Foundation NO:BS201941; NO:YHX202108the National Natural Science Foundation of China NO: 31901170; NO: 32260279
6 · The paper itself

Abstract

Shrubs are the main dominant plants in arid desert systems and play an important role in maintaining the biodiversity, ecosystem services and stability of desert ecosystems. Studies have shown that the survival of a large number of shrub species in desert areas under the influence of climate change is significantly threatened, with different species showing different response strategies. To test the tolerance of different shrub species to climate change, this study selected 10 dominant shrub species (ancient relict shrub species and regional endemic shrub species) in the Alashan desert area as the research object. Based on a field survey of species distribution, a species distribution model was developed to simulate the suitable distribution area of shrub species under current conditions and under future climate change scenarios. The distribution changes of ancient relict and regional endemic shrub species under the climate change scenarios were tested, and the tolerance of the two types of shrub to climate change was analyzed. The results showed that under different climate change scenarios, except for

Indexed as

ancient relict plantsclimatic changedesert ecosystemspecies distribution modelsuitable distribution area

Identifiers

PMID38068700
PMCPMC10707734

What OpenQuestion holds

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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.