Evidence map›Paper›PMID 38840584›Full record

ArticleEcology and evolution2024

Some bats are here: Reducing the Wallacean shortfall of bats in the amazon.

Thiago Bernardi Vieira, Rafaela Jemely Rodrigues Alexandre, Simone Almeida Pena, Letícia Lima Correia, Ariane de Sousa Brasil, Ludmilla Moura de Souza Aguiar, Paulo De Marco, Albert David Ditchfield

Abstract read
In one paragraph

Article in Ecology and evolution, 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. Article
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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

8 authors.

Thiago Bernardi VieiraLaboratório de Ecologia, Faculdade de Ciências Biológicas (FCB) Universidade Federal do Pará (UFPA) Altamira PA Brazil.ORCID https://orcid.org/0000-0003-1762-8294
Rafaela Jemely Rodrigues AlexandrePrograma de Pós-graduação em Zoologia (PPGZOOL) Universidade Federal do Pará Belém Brazil.ORCID https://orcid.org/0000-0002-2547-7214
Simone Almeida PenaPrograma de Pós-Graduação em Ecologia (PPGECO) Universidade Federal do Pará Belém Brazil.ORCID https://orcid.org/0000-0001-9613-0560
Letícia Lima CorreiaPrograma de Pós-Graduação em Ecologia (PPGECO) Universidade Federal do Pará Belém Brazil.ORCID https://orcid.org/0000-0001-6696-939X
Ariane de Sousa BrasilLaboratório de Ecologia, Faculdade de Ciências Biológicas (FCB) Universidade Federal do Pará (UFPA) Altamira PA Brazil.
Ludmilla Moura de Souza AguiarPrograma de Pós-Graduação em Ecologia, Laboratório de Biologia e Conservação de Morcegos, Departamento de Zoologia, Instituto de Ciências Biológicas Universidade de Brasília Brasília DF Brazil.ORCID https://orcid.org/0000-0002-9180-5052
Paulo De MarcoTheoretical, Metacommunity and Landscape Ecology Laboratory, Instituto de Ciências Biológicas Universidade Federal de Goiás Goiás Brazil.ORCID https://orcid.org/0000-0002-3628-6405
Albert David DitchfieldLaboratório de Estudos em Quirópteros (LABEQ), Departamento de Ciências Biológicas Universidade Federal do Espírito Santo (UFES) Vitória ES Brazil.ORCID https://orcid.org/0000-0002-9597-1402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Amazon rainforest has approximately 23% of its sampled area dedicated to bats, making it one of the least sampled and most diverse regions for bats in Brazil. The lack of sampling results in a lack of knowledge regarding the accurate geographical distribution of bat species. This lack is referred to as the Wallacean shortfall, which should be addressed with primary data obtained from in situ collections. However, the use of Species Distribution Models (SDMs) can help alleviate this gap. The states of Pará and Acre are located in the Brazilian Amazon. So, our objective is to decrease the Wallacean shortfall concerning Amazonian bat species. To achieve this, we provide (i) a list of bat species sampled in the states of Pará and Acre in the last 5 years (2017 to 2022); (ii) the potential distribution of species considered as new occurrences for the region; and (iii) the potential distribution of species classified as Data Deficient (DD) and Near Threatened (NT) according to the IUCN classification. With 96 nights of collection and 129,600 m

Indexed as

Amazonian ForestChiropteragap analysesPhyllostomidaeSDMWallacean shortfall

Identifiers

PMID38840584
PMCPMC11150423

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.