Evidence map›Paper›PMID 35237943›Full record

ArticleNeotropical entomology2022

Modeling Current and Future Distribution of Epicauta Dejean (Meloinae, Epicautini) under Changing Climate Conditions in America.

María P Campos-Soldini

Abstract read
PubMed Publisher
In one paragraph

Article in Neotropical entomology, 2022. 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
0.3field-weighted citation impact, top 52% of its field
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, 3 citations in OpenAlex.

  1. Analysis of suitable areas forFrontiers in cellular and infection microbiology · 2026
    Article
  2. Distribution and Conservation ofEcology and evolution · 2025
    Article
  3. The complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2024
    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

1 author at 1 institution in 1 country.

María P Campos-SoldiniLaboratorio de Entomología, Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción (CICYTTP-CONICET-Gob.ER-UADER), Diamante, Argentina. mariapaulacampos@gmail.com.ORCID https://orcid.org/0000-0001-8228-4534
Consejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epicauta Dejean is one of the largest genera within Meloidae, with approximately 400 species identified to date. In this work, I applied the maximum entropy algorithm (Maxent) to predict the current and future distribution of this genus in America. A total of 12,130 points and 19 bioclimatic variables were used to model its potential distribution area under current and future climate scenarios. Maxent showed high prediction performance, and 7 out of the 19 variables used were found to be the most influential on the current and future distribution of Epicauta. It also allowed to predict the distribution of Epicauta in geographical areas where different bioclimatic criteria are combined. These areas belong to several provinces of the Nearctic, Neotropical regions and the Mexican and South American transition zones. Maxent also revealed that in North America, the current and future potential distribution of Epicauta is located within 38°N 97°W, while in South America, it is further south, within 25°S 60°W. According to this, it can be concluded that its greatest diversity is circumscribed to temperate and semi-arid regions, and that the tropical habitats of middle America have apparently served as effective barriers to faunal exchange since the intercontinental connection that occurred four million years ago until now. The findings from the present study provide a theoretical basis to better understand the distribution patterns of Epicauta spp. under changing climate conditions.

Indexed as

ColeopteraAnimalsClimateClimate ChangeEcosystemSouth AmericaCentral AmericaClimate changeMaxentNorth AmericaSouth AmericaSpecies distribution modeling

Identifiers

PMID35237943
OpenAlexW4214856743

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.