Evidence map›Paper›PMID 38140451›Full record

ArticlePlants (Basel, Switzerland)2023

Climate Change Potentially Leads to Habitat Expansion and Increases the Invasion Risk of

Jiongming Yang, Zhihao Fu, Keyan Xiao, Hongjin Dong, Yadong Zhou, Qinghua Zhan

Abstract read
PubMed Full text at PMC Publisher
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Climate-Driven Distribution and Ecological Niche Modeling of ThreeTropical medicine and infectious disease · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Biomod2 Modeling for Predicting Suitable Distribution of Bamboo Bat (Animals : an open access journal from MDPI · 2025
    Article
  6. 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.

Jiongming YangSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Zhihao FuSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Keyan XiaoHubei Xiuhu Botanical Garden, Xiaogan 432500, China.
Hongjin DongHubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization, Huanggang Normal University, Huanggang 438000, China.
Yadong ZhouSchool of Life Sciences, Nanchang University, Nanchang 330031, China.
Qinghua ZhanSchool of Life Sciences, Nanchang University, Nanchang 330031, China.

Funding

Joint Open Funding of Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization 202141004National Science Foundation of China 32260046
6 · The paper itself

Abstract

Climate change is a crucial factor impacting the geographical distribution of plants and potentially increases the risk of invasion for certain species, especially for aquatic plants dispersed by water flow. Here, we combined six algorithms provided by the biomod2 platform to predict the changes in global climate-suitable areas for five species of

Indexed as

aquatic plantshabitat expansionHydrocharisinvasionspecies distribution models

Identifiers

PMID38140451
PMCPMC10748102

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.