Evidence map›Paper›PMID 38717262›Full record

ArticleJournal of insect science (Online)2024

Predicting suitable areas for Metcalfa pruinosa (Hemiptera: Flatidae) under climate change and implications for management.

Zhengxue Zhao, Lin Yang, Jiankun Long, Zhimin Chang, Xiangsheng Chen

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Global Suitability Areas of Two Rice Pests,Ecology and evolution · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Globally suitable areas forEcology and evolution · 2024
    Article
  10. 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

5 authors.

Zhengxue ZhaoInstitute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.ORCID 0000-0003-1764-8690
Lin YangInstitute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.
Jiankun LongInstitute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.
Zhimin ChangInstitute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.
Xiangsheng ChenInstitute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.ORCID 0000-0001-9801-0343

Funding

National Natural Science Foundation of China 32060343Science Technology Program of GTC 2021YFD1601000
6 · The paper itself

Abstract

Climate change is a prominent factor reshaping the distribution of invasive species. Metcalfa pruinosa (Say 1830) (Hemiptera: Flatidae), native to North America, has invaded other continents and poses a serious threat to various agricultural crops and the human residential environment. Understanding the distribution of M. pruinosa based on climatic conditions is a critical first step to prevent its further invasion. Therefore, based on its occurrence records and associated environmental variables, a Maxent model was developed to predict suitable areas for this species in the present and future on a global scale. The model exhibited outstanding performance, with a mean area under the receiver operating characteristic curve and true skill statistic values of 0.9329 and 0.926, respectively. The model also indicated that annual precipitation (Bio12) and max temperature of the warmest month (Bio5) were the key environmental variables limiting the distribution of M. pruinosa. Moreover, the model revealed that the current suitable area is 1.01 × 107 km2 worldwide, with southern China, southern Europe, and the eastern United States predicted to be the primary and highly suitable areas in the latter 2 regions. This area is expected to increase under future climate scenarios, mainly in the northern direction. The study's findings contribute to our understanding of climate change's impact on M. pruinosa distribution, and they will aid governments in developing appropriate pest management strategies, including global monitoring and strict quarantine measures.

Indexed as

Animal DistributionClimate ChangeIntroduced SpeciesAnimalsHemipteraInsect Controlclimate changeMaxentMetcalfa pruinosapest managementsuitable area

Identifiers

PMID38717262
PMCPMC11078062

What OpenQuestion holds

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Registered trials

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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.