Evidence map›Paper›PMID 40421063›Full record

ArticleEcology and evolution2025

The Involvement of Human Factors Brings New Findings for Predicting Global Suitability Habitat for

Haochang Hu, Hongwei Zhou, Yuxi Li, Yongzheng Li, Yunbo Yan, Jun Yang, Jun Chen, Yumo Chen, Di Cui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2025. 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. 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

9 authors.

Haochang HuCollege of Computer and Control Engineering Northeast Forestry University Harbin China.ORCID https://orcid.org/0009-0001-1966-7898
Hongwei ZhouCollege of Computer and Control Engineering Northeast Forestry University Harbin China.
Yuxi LiCollege of Computer and Control Engineering Northeast Forestry University Harbin China.
Yongzheng LiCollege of Computer and Control Engineering Northeast Forestry University Harbin China.
Yunbo YanCollege of Computer and Control Engineering Northeast Forestry University Harbin China.
Jun YangForestry Grassland Investigation and Planning Institute of Heilongjiang Province Harbin China.
Jun ChenFengcheng Forestry Pest Control and Quarantine Station Fengcheng Forestry Development Service Center Fengcheng China.
Yumo ChenSchool of Materials Science and Engineering Northeastern University Shenyang China.
Di CuiHeilongjiang Forestry Technology Service Center Harbin China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive pests have spread globally at an unprecedented scale, severely threatening biodiversity and resulting in significant economic losses, emerging as a global problem. This study utilizes the Maxent model, incorporating human and natural factors to predict the current and future potential global distribution of

Indexed as

biological conservationglobal suitability habitathuman factorHyphantria cuneainvasive pest

Identifiers

PMID40421063
PMCPMC12104870

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.