Evidence map›Paper›PMID 38862599›Full record

ArticleScientific reports2024

Potential distribution prediction of Ceracris kiangsu Tsai in China.

Chun Fu, Xuanye Wen, Zhaopeng Shi, Lin Rui, Na Jiang, Gelin Zhao, Rulin Wang, Jinpeng Zhao, YaoJun Yang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

9 authors.

Chun FuKey Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development, Leshan Normal University, Leshan, 614000, People's Republic of China.
Xuanye WenCenter for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang, 110031, People's Republic of China.
Zhaopeng ShiExtension Center for Agricultural Technology of Shandong Province, Jinan, 250100, People's Republic of China.
Lin RuiCangxi Meteorological Bureau, Cangxi, People's Republic of China.
Na JiangCollege of Tourism and Geographical Science, Leshan Normal University, Leshan, 614000, People's Republic of China.
Gelin ZhaoMianyang Teachers' College, Mianyang, 621000, People's Republic of China.
Rulin WangSichuan Provincial Rural Economic Information Center, Chengdu, 610031, People's Republic of China.
Jinpeng ZhaoSichuan Provincial Rural Economic Information Center, Chengdu, 610031, People's Republic of China. 421508153@qq.com.
YaoJun YangKey Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development, Leshan Normal University, Leshan, 614000, People's Republic of China. 290316289@qq.com.

Funding

National Key Research and Development Program of China 2022YFD1901405Opening Foundation of Key Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development ZLKF202202Opening Foundation of Key Laboratory of Sichuan Province for Bamboo Pests Control and Resource Development ZLKF202305Science and Technology Program of Leshan Normal University 2022SSDJ005Science and Technology Program of Leshan Normal University KYPY2023-0006Science and Technology Program of Leshan Normal University LZD010Science and Technology Program of Leshan Normal University XJR17005
6 · The paper itself

Abstract

Ceracris kiangsu Tsai (C. kiangs) is a kind of forest pest, which can harm nearly 100 kinds of weeds and crops. In this study, based on 314 species distribution points of C. kiangsu which were obtained from Chinese herbaria, literatures and investigation, and data of three future climate scenarios presented by CMIP6, two niche models (Garp, Maxent) were used to predict the suitable area of C. kiangsu in China. The result shows that the main environmental factors affecting the distribution of C. kiangsu are precipitation of driest month (bio14) and min temperature of coldest month (bio6). No matter now and future, the potential distribution areas of C. kiangsu in China are mainly in the south of Qinling-Huaihe River. Under current scenarios, the areas of the total, highly, moderately and poorly suitable of C. kiangsu in China are 160.65 × 10

Identifiers

PMID38862599
PMCPMC11167046

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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.