Evidence map›Paper›PMID 37719337›Full record

ArticleZooKeys2023

Species richness and endemism patterns of Sternorrhyncha (Insecta, Hemiptera) in China.

Zhengxue Zhao, Xueli Feng, Yubo Zhang, Yingjian Wang, Zhengxiang Zhou, Tianlei Liu

Abstract read
In one paragraph

Article in ZooKeys, 2023. 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.

Zhengxue ZhaoCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.ORCID https://orcid.org/0000-0003-1764-8690
Xueli FengCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.
Yubo ZhangCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.
Yingjian WangCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.
Zhengxiang ZhouCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.
Tianlei LiuCollege of Agriculture, Anshun University, Anshun, China Anshun University Anshun China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main goals in biogeography and ecology is the study of patterns of species diversity and the driving factors in these patterns. However, such studies have not focused on Sternorrhyncha in China, although this region hosts massive species distribution data. Here, based on the 15,450 distribution records of Sternorrhyncha species in China, we analyzed patterns in species richness and endemism at 1° × 1° grid size and determined the effects of environmental variables on these patterns using correlations analysis and the model averaging approach. We found that species richness and endemism of Sternorrhyncha species are unevenly distributed, with high values in the eastern and southeastern coastal regions of mainland China, as well as Taiwan Island. Furthermore, the key factors driving species richness and endemism patterns are inconsistent. Species richness patterns were strongly affected by the normalized difference vegetation index, which is closely related to the feeding habits of Sternorrhyncha, whereas endemism patterns were strongly affected by the elevation range. Therefore, our results indicate that the range size of species should be considered to understand the determinants of species diversity patterns.

Indexed as

Biogeographyecology environmental variablesnormalized difference vegetation indexphytophagous insectspecies richness

Identifiers

PMID37719337
PMCPMC10502486

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.