Evidence map›Paper›PMID 33348760›Full record

ArticleInsects2020

Testing Seven Hypotheses to Determine What Explains the Current Planthopper (Fulgoridae) Geographical and Species Richness Patterns in China.

Zheng-Xue Zhao, Lin Yang, Jian-Kun Long, Zhi-Min Chang, Zheng-Xiang Zhou, Yan Zhi, Liang-Jing Yang, Hong-Xing Li, Yong-Jin Sui, Nian Gong and 2 more

Abstract read
In one paragraph

Article in Insects, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

12 authors.

Zheng-Xue ZhaoInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Lin YangInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Jian-Kun LongCollege of Animal Science, Guizhou University, Guiyang 550025, China.
Zhi-Min ChangCollege of Animal Science, Guizhou University, Guiyang 550025, China.
Zheng-Xiang ZhouInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Yan ZhiInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Liang-Jing YangInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Hong-Xing LiInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Yong-Jin SuiInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Nian GongInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Xiao-Ya WangInstitute of Entomology, Guizhou University, Guiyang 550025, China.
Xiang-Sheng ChenInstitute of Entomology, Guizhou University, Guiyang 550025, China.

Funding

Academic New Cultivation and Innovation Exploration Special Project of Guizhou University in 2018 qiankehe and Platform for talents [2018]5781-29)National Natural Science Foundation of China 32060343, 31472033, 31601886, 81460576the Program of Excellent Innovation Talents, Guizhou Province, China 20154021the Program of Scientific Research Foundation for Introduced Talent of Guizhou University 201718the Science and Technology Program of Guizhou Province 20181031the Science and Technology Program of Guizhou Province Qiankehejichu [2018]1031the Science and technology support program of Guizhou Province 20201Y129
6 · The paper itself

Abstract

Although many hypotheses have been proposed to understand the mechanisms underlying large-scale richness patterns, the environmental determinants are still poorly understood, particularly in insects. Here, we tested the relative contributions of seven hypotheses previously proposed to explain planthopper richness patterns in China. The richness patterns were visualized at a 1° × 1° grid size, using 14,722 distribution records for 1335 planthoppers. We used ordinary least squares and spatial error simultaneous autoregressive models to examine the relationships between richness and single environmental variables and employed model averaging to assess the environmental variable relative roles. Species richness was unevenly distributed, with high species numbers occurring in the central and southern mountainous areas. The mean annual temperature change since the Last Glacial Maximum was the most important factor for richness patterns, followed by mean annual temperature and net primary productivity. Therefore, historical climate stability, ambient energy, and productivity hypotheses were supported strongly, but orogenic processes and geological isolation may also play a vital role.

Indexed as

ambient energybiogeographydispersal abilityhistorical climate stabilityLast Glacial Maximumplanthoppersproductivityspecies richness

Identifiers

PMID33348760
PMCPMC7766541

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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.