Evidence map›Paper›PMID 32513980›Full record

ArticleScientific reports2020

Predictions of potential geographical distribution of Diaphorina citri (Kuwayama) in China under climate change scenarios.

Rulin Wang, Hua Yang, Mingtian Wang, Zhe Zhang, Tingting Huang, Gang Wen, Qing Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 55 citations in OpenAlex.

  1. Distribution and Habitat Suitability ofEcology and evolution · 2026
    Article
  2. Article
  3. Article
  4. Prediction of potential habitat ofFrontiers in plant science · 2025
    Article
  5. Globally suitable areas forEcology and evolution · 2024
    Article
  6. Article
  7. Article
  8. Effect of climate change onFrontiers in plant science · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Prediction of the Potential Distributions ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Citrus Huanglongbing correlated with incidence ofFrontiers in plant science · 2022
    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

7 authors at 1 institution in 1 country.

Rulin WangCollege of Agronomy, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China.
Hua YangKey Laboratory of Ecological Forestry Engineering of Sichuan Province/College of Forestry, Sichuan Agricultural University, Chengdu, 611130, China.
Mingtian WangSichuan Meteorological Observatory, Chengdu, Sichuan, 610072, China.
Zhe ZhangCollege of Agronomy, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China.
Tingting HuangSichuan Provincial Rural Economic Information Center, Chengdu, Sichuan, 610072, China.
Gang WenBureau of Agriculture of Yibin City, Yibin, Sichuan, 644000, China.
Qing LiCollege of Agronomy, Sichuan Agricultural University, Chengdu, Sichuan, 611130, China. liq8633@163.com.
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change significantly affects geographic distribution of plants pests and diseases worldwide. Understanding the influence of future climate change on the suitable areas of Diaphorina citri (Kuwayama) in our country and taking timely countermeasures are crucial for improving the effectiveness of control of pest. Based on the occurrence points of D. citri and the selected environmental variables, the potential suitable areas of this pest under climate change scenarios in China were predicted by using MaxEnt and GIS tools. Our results showed that the higly suitable area were mainly located in Guangxi, Guangdong, Fujian, Southern Zhejiang, Southern Jiangxi, Eastern Hunan, Southwestern Guizhou, and the area was 43.7 × 10

Indexed as

Climate ChangeAnimalsArea Under CurveChinaEcosystemHemipteraROC Curve

Identifiers

PMID32513980
PMCPMC7280263
OpenAlexW3033416718

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.