Evidence map›Paper›PMID 37332521›Full record

ArticleEcology and evolution2023

Amazonian Odonata Trait Bank.

Victor Rennan Santos Ferreira, Bethânia Oliveira de Resende, Rafael Costa Bastos, Joás Silva da Brito, Fernando Geraldo de Carvalho, Lenize Batista Calvão, José Max Barbosa Oliveira-Junior, Ulisses Gaspar Neiss, Rhainer Ferreira, Leandro Juen

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. 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. Amazonian Odonata Trait Bank.Ecology and evolution · 2023
    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.

Victor Rennan Santos FerreiraLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0001-9077-8227
Bethânia Oliveira de ResendeLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0002-3489-0481
Rafael Costa BastosLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0001-7581-7099
Joás Silva da BritoLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0002-9682-7429
Fernando Geraldo de CarvalhoLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0001-7272-1593
Lenize Batista CalvãoLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0003-3428-8754
José Max Barbosa Oliveira-JuniorLaboratório de Estudos de Impacto Ambiental (LEIA), Instituto de Ciências e Tecnologia das Águas (ICTA) Universidade Federal do Oeste do Pará Santarém Pará Brazil.ORCID https://orcid.org/0000-0002-0689-205X
Ulisses Gaspar NeissInstituto Nacional de Pesquisas da Amazônia (INPA) Universidade Federal do Amazonas Manaus Amazonas Brazil.ORCID https://orcid.org/0000-0002-2844-7061
Rhainer FerreiraLaboratório de Estudos Ecológicos em Etologia e Evolução (LESTES Lab) Universidade Federal do Triângulo Mineiro Uberaba Minas Gerais Brazil.ORCID https://orcid.org/0000-0001-7774-5252
Leandro JuenLaboratório de Ecologia e Conservação (LABECO) Universidade Federal do Pará Belém Pará Brazil.ORCID https://orcid.org/0000-0002-6188-4386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discussion regarding the gaps of knowledge on Odonata is common in the literature. Such gaps are even greater when dealing with basic biological data for biodiverse environments like the Amazon Rainforest. Therefore, studies that address, classify, and standardize functional traits allow the elaboration of a wide range of ecological and evolutionary hypotheses. Moreover, such endeavors aid conservation and management planning by providing a better understanding of which functional traits are filtered or favored under environmental changes. Here, our main goal was to produce a database with 68 functional traits of 218 Odonata species that occur in the Brazilian Amazon. We extracted data on behavior, habit/habitat (larvae and adults), thermoregulation, and geographic distribution from 419 literature sources classified into different research areas. Moreover, we measured 22 morphological traits of approximately 2500 adults and categorized species distributions based on approximately 40,000 geographic records for the Americas. As a result, we provided a functional matrix and identified different functional patterns for the Odonata suborders, as well as a strong relationship between the different trait categories. For this reason, we recommend the selection of key traits that represent a set of functional variables, reducing the sampling effort. In conclusion, we detect and discuss gaps in the literature and suggest research to be developed with the present Amazonian Odonata Trait Bank (AMO-TB).

Indexed as

bibliographydatabasefunctional traitsphenotyperaunkiæran shortfalls

Identifiers

PMID37332521
PMCPMC10271597

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.