Evidence map›Paper›PMID 41262205›Full record

ArticleBiodiversity data journal2025

Atlantic Dung Beetle Traits: A comprehensive dataset of functional traits for dung beetles (Coleoptera, Scarabeidae, Scarabaeinae) in the Atlantic Forest.

Paula Ribeiro Anunciação, André Luiz Batista Tavares, Maria Eduarda Maldaner, Fernando Z Vaz-de-Mello, Milton Cezar Ribeiro, Raffael Ernst

Abstract read
In one paragraph

Article in Biodiversity data journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Paula Ribeiro AnunciaçãoSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Dresden, Germany Senckenberg - Leibniz Institution for Biodiversity and Earth System Research Dresden Germany.
André Luiz Batista TavaresUniversidade Estadual Paulista (Unesp), Rio Claro, Brazil Universidade Estadual Paulista (Unesp) Rio Claro Brazil.
Maria Eduarda MaldanerUniversidade Federal de Mato Grosso, Cuiaba, Brazil Universidade Federal de Mato Grosso Cuiaba Brazil.
Fernando Z Vaz-de-MelloUniversidade Federal de Mato Grosso, Cuiaba, Brazil Universidade Federal de Mato Grosso Cuiaba Brazil.ORCID https://orcid.org/0000-0001-9697-320X
Milton Cezar RibeiroUniversidade Estadual Paulista (Unesp), Rio Claro, Brazil Universidade Estadual Paulista (Unesp) Rio Claro Brazil.
Raffael ErnstSenckenberg - Leibniz Institution for Biodiversity and Earth System Research, Dresden, Germany Senckenberg - Leibniz Institution for Biodiversity and Earth System Research Dresden Germany.ORCID https://orcid.org/0000-0001-6347-1414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Functional traits offer critical insights into species performance, survival strategies and ecological interactions. However, the availability of comprehensive trait datasets remains limited, primarily due to the substantial effort required for field sampling and laboratory analysis. This constraint is particularly pronounced in biodiversity hotspots such as the Atlantic Forest, one of the most diverse and threatened biomes globally. The New information: The dataset includes 47 distinct traits for 1,398 individuals representing up to 385 taxa. Many traits were measured separately by sex and/or habitat to capture intraspecific variation, resulting in 107 trait records overall. It is organised into two main components:

Indexed as

functional attributesfunctional diversityinterspecific variationintraspecific variationphylogenetic diversityTropical Forest

Identifiers

PMID41262205
PMCPMC12624351

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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.