Evidence map›Paper›PMID 41531920›Full record

ArticleEcology and evolution2026

Xuanqi Liu, Xia Meng, Minqiao Li, Zeyu Qin, Chen Li, Huasheng Huang

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Ecology and evolution · 2026
    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.

Xuanqi LiuSchool of Geography and Planning Sun Yat-sen University Guangzhou China.
Xia MengSchool of Geography and Planning Sun Yat-sen University Guangzhou China.
Minqiao LiSchool of Geography and Planning Sun Yat-sen University Guangzhou China.
Zeyu QinSchool of Geography and Planning Sun Yat-sen University Guangzhou China.
Chen LiSchool of Geography and Planning Sun Yat-sen University Guangzhou China.
Huasheng HuangSchool of Geography and Planning Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0001-8764-9264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is altering the spatial distribution of species' suitable habitats. Congeneric species may exhibit divergent responses to climate change due to differences in their niches. A clear understanding of these differences is essential for the development of effective and targeted biodiversity conservation strategies. Here, we use the optimized maximum entropy model (MaxEnt) to simulate the current distributions of two congeneric species,

Indexed as

biodiversitybiological conservationclimate changeMalvaceaeMaxEntReevesiaspecies distribution models

Identifiers

PMID41531920
PMCPMC12793777

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.