Evidence map›Paper›PMID 42094811›Full record

ArticleBiodiversity data journal2026

Diversity and distribution of acrobat ants,

Daniela M Gutiérrez-Martínez, Lina M Ramos-Ortega, Roberto J Guerrero

Abstract read
In one paragraph

Article in Biodiversity data journal, 2026. 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. Diversity and distribution of acrobat ants,Biodiversity data journal · 2026
    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

3 authors.

Daniela M Gutiérrez-MartínezUniversidad del Magdalena, Santa Marta, Colombia Universidad del Magdalena Santa Marta Colombia https://ror.org/038mvjn28.ORCID https://orcid.org/0000-0002-1532-2235
Lina M Ramos-OrtegaUniversidad del Magdalena, Santa Marta, Colombia Universidad del Magdalena Santa Marta Colombia https://ror.org/038mvjn28.
Roberto J GuerreroUniversidad del Magdalena, Santa Marta, Colombia Universidad del Magdalena Santa Marta Colombia https://ror.org/038mvjn28.ORCID https://orcid.org/0000-0003-3244-2754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The tropical dry forest (TDF) in Colombia is a highly threatened ecosystem by deforestation, intensive agriculture, urbanization and climate change. These pressures have caused extensive habitat loss and fragmentation, negatively impacting biodiversity and the ecological roles of key groups such as ants. Currently, the TDF is divided into six regions (Caribbean, Norandina>, Orinoquía, Patía River Valley, Cauca River Valley and Magdalena River Valley), based on the composition and other attributes of the vegetation that structures each of them. We document the species composition, richness and distribution of acrobat ants ( New information: In total, 23 species were recorded, with the Caribbean Region exhibiting the highest richness and the Patía River Valley the lowest. Species composition amongst regions was analyzed using non-metric multidimensional scaling (nMDS), based on the Jaccard similarity index, with subsequent permutational multivariate analysis of variance. The non-metric multidimensional scaling ordination, based on Jaccard dissimilarity, provided an adequate representation of the compositional relationships amongst sampling units across Colombian dry forest regions. PERMANOVA detected a significant overall effect of region on sampling unit composition. Data source also had a significant effect on sampling unit composition. Seven species were widely distributed, with

Indexed as

biological collectionsheterogeneous distributionNeotropicsrboreal antstaxonomy

Identifiers

PMID42094811
PMCPMC13139862

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.