Evidence map›Paper›PMID 39692634›Full record

ArticleJournal of insect science (Online)2024

The spatiotemporal patterns of the beet webworm (Lepidoptera: Crambidae) in China and possible dynamics under future climate scenarios.

Jinping Zhang, Qin Yang, Zhengxue Zhao, Xiaofei Yu, Jianzhou Wei, Hua Cheng, Xuechun Zhao, Maofa Yang, Baocheng Jin

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 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
  2. Insects · 2026
    Article
  3. Global Suitability Areas of Two Rice Pests,Ecology and evolution · 2025
    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.

Jinping ZhangCollege of Animal Science, Guizhou University, Guiyang, China.
Qin YangInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, and College of Agriculture, Guizhou University, Guiyang, China.
Zhengxue ZhaoInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, and College of Agriculture, Guizhou University, Guiyang, China.ORCID 0000-0003-1764-8690
Xiaofei YuInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, and College of Agriculture, Guizhou University, Guiyang, China.ORCID 0000-0002-1362-9524
Jianzhou WeiCollege of Science, Gansu Agricultural University, Lanzhou, China.
Hua ChengSchool of Tourism, Henan Normal University, Xinxiang, China.
Xuechun ZhaoCollege of Animal Science, Guizhou University, Guiyang, China.
Maofa YangInstitute of Entomology, Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, and College of Agriculture, Guizhou University, Guiyang, China.
Baocheng JinCollege of Animal Science, Guizhou University, Guiyang, China.ORCID 0000-0002-8973-9746

Funding

National Natural Science Foundation of China 32360125
6 · The paper itself

Abstract

The beet webworm (BWW), Loxostege sticticalis (L.), is a notorious migratory agriculture pest of crops and fodder plants, inducing sudden outbreaks and huge losses of food and forage production. Quantifying its spatiotemporal patterns and possible dynamics under future climate scenarios may have significant implications for management policies and practices against this destructive agriculture pest. In this paper, a database containing nearly 7,000 occurrence records for the spatiotemporal distribution of BWW in China was established and its possible dynamics under future climate scenarios predicted using Maxent. We found that BWW could affect a vast geographic range of Northern China, about one third of the country's land area. The beet webworm overwintered in most of its distribution regions. Maxent model found a northward movement and distribution reduction for BWW in China under future climate scenarios. The occurrence and overwintering regions will move northward about 0.3°N-0.9°N under warming climate scenarios, and about 40%-70% of the suitable habitat and overwintering habitat will disappear by 2100. Most of the northward movement and suitable area reduction likely will happen in 2 decades. Given the vast affected area, the abrupt outbreaks, the diverse host plants, the sensitivity to climate change, as well as their long-distance migration capacity, global scale research, and monitoring the population dynamics of BWW are essential for developing effective management strategies and mitigating its impact on agriculture and ecosystems.

Indexed as

Climate ChangeMothsPopulation DynamicsAnimal DistributionAnimalsChinaEcosystembeet webwormclimate changefood securityMaxentmigratory agriculture pest

Identifiers

PMID39692634
PMCPMC11653570

What OpenQuestion holds

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LicenceCC BY
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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.