Evidence map›Paper›PMID 33005369›Full record

ArticleEcology and evolution2020

Climate-induced distribution dynamics of

Ulysses Madureira Maia, Leonardo de Sousa Miranda, Airton Torres Carvalho, Vera Lucia Imperatriz-Fonseca, Guilherme Corrêa de Oliveira, Tereza Cristina Giannini

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. 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. Climate-induced distribution dynamics ofEcology and evolution · 2020
    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

6 authors.

Ulysses Madureira MaiaInstituto de Ciências Biológicas Universidade Federal do Pará Belém Brazil.ORCID https://orcid.org/0000-0003-0940-9331
Leonardo de Sousa MirandaInstituto Tecnológico Vale Belém Brazil.ORCID https://orcid.org/0000-0001-6427-8157
Airton Torres CarvalhoUnidade Acadêmica de Serra Talhada Universidade Federal Rural do Pernambuco Serra Talhada Brazil.ORCID https://orcid.org/0000-0003-3395-4444
Vera Lucia Imperatriz-FonsecaInstituto de Biociências Universidade de São Paulo São Paulo Brazil.ORCID https://orcid.org/0000-0002-1079-2158
Guilherme Corrêa de OliveiraInstituto Tecnológico Vale Belém Brazil.ORCID https://orcid.org/0000-0003-0054-3438
Tereza Cristina GianniniInstituto de Ciências Biológicas Universidade Federal do Pará Belém Brazil.ORCID https://orcid.org/0000-0001-9830-1204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe objective of this study is to estimate the current potential geographic distribution of LOCATION: Northeast region of Brazil and dry forest areas.

methodsThe habitat suitability modeling was based on two algorithms, two global circulation models, and six different scenarios. We used this tool to estimate the areas of occurrence in the past (Last Interglacial and Last Glacial Maximum), in the present, and in the future (years 2050 and 2070).

resultsAccording to the models,

conclusionThe information provided can be used by decision makers to support actions toward protecting and sustainably managing this taxon. Protection measures for this taxon are particularly important because this insect contributes to the local flora and, although our results indicate that the climate may favor this taxon, other factors can negatively affect it, such as high levels of habitat loss due to anthropogenic activities.

Indexed as

availabilityCaatingaexpansiongeographic distributionMeliponinpollinator

Identifiers

PMID33005369
PMCPMC7520209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.