Evidence map›Paper›PMID 42231889›Full record

ArticleFrontiers in plant science2026

Projected habitat contraction of

Rong Hu, Fang Li, Lu Wang, Fang Ji, Chaqin Tang, Chao Xu, Yanming Fang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2026. 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

7 authors.

Rong HuCollege of Tea and Food Science and Technology, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Fang LiCollege of Tea and Food Science and Technology, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Lu WangSchool of Landscape Ecology, Ningbo City College of Vocational Technology, Ningbo, China.
Fang JiCollege of Tea and Food Science and Technology, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Chaqin TangCollege of Tea and Food Science and Technology, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Chao XuCollege of Tea and Food Science and Technology, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
Yanming FangCo-Innovation Centre for Sustainable Forestry in Southern China, and College of Life Science, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The impact of climate change on the distribution of Methods: We used 56 carefully screened and spatially thinned occurrence records in a Maximum Entropy (MaxEnt) model. After filtering for multicollinearity, ten environmental variables were retained. Future projections were made for the SSP245 and SSP585 scenarios for the 2050s and 2070s. Results: The model showed high predictive accuracy (AUC = 0.958). Temperature factors, particularly Bio6 and Bio2, were the main determinants. Under current conditions, highly suitable habitats are mainly concentrated in eastern coastal regions. Future projections indicate a severe contraction of suitable habitats by the 2070s, with reductions of 80.1% and 90.9% under SSP245 and SSP585, respectively. Discussion: The findings suggest a severe habitat contraction for wild

Indexed as

Camellia japonica Lclimate changeclimatic factormaxent modelingpotential distribution

Identifiers

PMID42231889
PMCPMC13223104

What Socratic 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 Socratic graph.