Evidence map›Paper›PMID 42206156›Full record

ArticleFrontiers in plant science2026

Predicting the global distribution of

Yiming He, Liping Zhou, Ke Lu, Mili Liu, Guodong Zhu, Yizhong Duan

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yiming He *College of Advanced Agricultural Sciences, Yulin University, Yulin, China.
Liping Zhou *Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China.
Ke LuCollege of Advanced Agricultural Sciences, Yulin University, Yulin, China.
Mili LiuCollege of Advanced Agricultural Sciences, Yulin University, Yulin, China.
Guodong ZhuCollege of Advanced Agricultural Sciences, Yulin University, Yulin, China.
Yizhong DuanCollege of Advanced Agricultural Sciences, Yulin University, Yulin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Global distribution data for Results: The optimized MaxEnt model demonstrates robust predictive performance (AUC = 0.963, TSS = 0.877). Key variables influencing the distribution of Discussion: This study provides a theoretical foundation for delineating habitat protection areas, facilitating population restoration, managing resources, and implementing regional desert ecological management for

Indexed as

climate changeenvironmental variablesMaxEntpotential suitable distributionReaumuria songarica

Identifiers

PMID42206156
PMCPMC13201513

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.