Evidence map›Paper›PMID 40003840›Full record

ArticleInsects2025

Ecologo-Geographic Distribution Patterns of the Italian Locust

Michael G Sergeev, Muratbek K Childebaev, Rong Ji, Vladimir V Molodtsov, Natalya S Baturina, Irina A Van'kova, Marya N Kim-Kashmenskaya, Kristina V Popova, Vasily D Zharkov, Oxana V Yefremova

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Insects, 2025. 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. Article
  3. 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

10 authors.

Michael G SergeevDepartment of General Biology and Ecology, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0000-0003-2179-0921
Muratbek K ChildebaevInstitute of Zoology, 93 Al-Farabi Avenue, 050060 Almaty, Kazakhstan.
Rong JiXinjiang Laboratory of Biology for the Protection and Regulation of Species in Special Environment, International Center for the Collaborative Management of Cross-Border Pests in Central Asia, College of Life Science, Xinjiang Normal University, Urumqi 830054, China.
Vladimir V MolodtsovDepartment of General Biology and Ecology, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.
Natalya S BaturinaDepartment of General Biology and Ecology, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0000-0001-9321-8364
Irina A Van'kovaLaboratory of Biogeomodelling and Ecoinformatics, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.
Marya N Kim-KashmenskayaDepartment of General Biology and Ecology, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0000-0003-2891-8000
Kristina V PopovaLaboratory of Biogeomodelling and Ecoinformatics, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0000-0002-2705-6325
Vasily D ZharkovLaboratory of Biogeomodelling and Ecoinformatics, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0009-0002-0397-3951
Oxana V YefremovaDepartment of General Biology and Ecology, Novosibirsk State University, 1 Pirogova Street, 630090 Novosibirsk, Russia.ORCID 0000-0002-1562-5252

Funding

Russian Science Foundation 22-66-00031
6 · The paper itself

Abstract

Grasshoppers (Acridoidea) are one of the most essential components of grassland ecosystems. They are mainly primary consumers and some of them, e.g., the Italian locust, may be very important pests. The main goal of this article is to discuss possible shifts in the species distribution relative to global and local changes. General patterns of latitudinal, longitudinal, and altitudinal distribution of its populations are revealed for the eastern part of its range (mainly from 70° E eastward). Data on its historic and modern localities with geographic coordinates were collected and analyzed. The Maxent approach was used to model species distribution. The comparative analysis shows there are no significant changes in its range. The analysis of altitudinal distribution over mountains of the region demonstrates no significant changes as well. The expected distribution of

Indexed as

climate changesdispersaldynamicsInner AsiaMaxentmodelingoutbreak risksplant protectionpopulationrange

Identifiers

PMID40003840
PMCPMC11856713

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.