Evidence map›Paper›PMID 34121849›Full record

ArticleBiodiversity data journal2021

Distribution of endemic angiosperm species in Brazil on a municipality level.

Janaína Gomes-da-Silva, Joâo Lanna, Rafaela Campostrini Forzza

Open access · goldAbstract read
In one paragraph

Article in Biodiversity data journal, 2021. 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
0.5field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Janaína Gomes-da-SilvaInstituto de Pesquisas do Jardim Botânico do Rio de Janeiro, Rio de Janeiro, Brazil Instituto de Pesquisas do Jardim Botânico do Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0003-0817-186X
Joâo LannaInstituto de Pesquisas do Jardim Botânico do Rio de Janeiro, Rio de Janeiro, Brazil Instituto de Pesquisas do Jardim Botânico do Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0002-4455-5142
Rafaela Campostrini ForzzaInstituto de Pesquisas do Jardim Botânico do Rio de Janeiro, Rio de Janeiro, Brazil Instituto de Pesquisas do Jardim Botânico do Rio de Janeiro Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0002-8366-0738
Instituto de Pesquisas Jardim Botânico do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHerbarium collections and the data they hold are the main sources of plant biodiversity information. These collections contain taxonomical and spatial data on living and extinct species; consequently, they are the fundamental basis for temporal and spatial biogeographical studies of plants. Mega projects focused on providing digital and free access to accurate biodiversity data have transformed plant science research, mainly in the past two decades. In this sense, researchers today are overwhelmed by the many different datasets in online repositories. There are also several challenges involved in using these data for biogeographical analyses. Analyses performed on the data available in the repositories show that 70-75% of the total amount of data have spatial deficiencies and a high number of records lack coordinates. This shortage of reliable primary biogeographical information creates serious impediments for biogeographical analyses and conservation assessments and taxonomic revisions consequently produces obstacles for evaluations of threats to biodiversity at global, regional and local levels. With the aim of contributing to botanical and biogeographical research, this paper provides georeferenced spatial data for angiosperm species endemic to Brazil. The information from two reliable online databases, i.e. the Flora do Brasil 2020 floristic database (BFG) and Plantas do Brasil: Resgate Histórico e Herbário Virtual para o Conhecimento e Conservação da Flora Brasileira (REFLORA), which are both based on records collected over the course of the last two centuries, is used to create this spatial dataset. NEW INFORMATION: We provide three taxonomically-edited and georeferenced datasets for basal angiosperms, monocots and eudicots, covering a total of 14,992 endemic species from Brazil. Producing this consolidated dataset involved several months of detailed revision of coordinates and nomenclaturally updating of the names in these datasets. The information provided in this geo-referenced dataset, covering two centuries of specimen collections, will contribute to several botanical and mainly biogeographical studies.

Indexed as

data re-useEndemic speciesflowering plantsoccurrence recordsprimary biodiversity dataSouth America

Identifiers

PMID34121849
PMCPMC8192407
OpenAlexW3169599627

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.