Evidence map›Paper›PMID 35294661›Full record

ArticleEnvironmental monitoring and assessment2022

Combining ecological niche models with experimental seed germination to estimate the effect of climate change on the distribution of endangered plant species in the Brazilian Cerrado.

Rafael Batista Ferreira, Micael Rosa Parreira, Filipe Viegas de Arruda, Marcus J A Falcão, Vidal de Freitas Mansano, João Carlos Nabout

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Prediction of the potentially suitable areas ofFrontiers in plant science · 2024
    Article
  3. Potential Distribution ofPlants (Basel, Switzerland) · 2023
    Article
  4. 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.

Rafael Batista FerreiraUniversidade Estadual de Goiás, Fazenda Barreiro Do Meio, Campus Central, BR 153, Anápolis, Goiás, 310575132-400, Brazil. rafael_g3bf@hotmail.com.
Micael Rosa ParreiraUniversidade Federal de Goiás, Chácaras de Recreio Samambaia, Campus Samambaia, Av. Esperança, s/n, Goiânia, Goiás, 74690-900, Brazil.
Filipe Viegas de ArrudaUniversidade Estadual de Goiás, Fazenda Barreiro Do Meio, Campus Central, BR 153, Anápolis, Goiás, 310575132-400, Brazil.
Marcus J A FalcãoInstituto de Pesquisas Jardim Botânico Do Rio de Janeiro, DIPEQ. Rua Pacheco Leão 915, Jardim Botânico, Rio de Janeiro, RJ, 22460-030, Brazil.
Vidal de Freitas MansanoInstituto de Pesquisas Jardim Botânico Do Rio de Janeiro, DIPEQ. Rua Pacheco Leão 915, Jardim Botânico, Rio de Janeiro, RJ, 22460-030, Brazil.
João Carlos NaboutUniversidade Estadual de Goiás, Fazenda Barreiro Do Meio, Campus Central, BR 153, Anápolis, Goiás, 310575132-400, Brazil.ORCID http://orcid.org/0000-0001-9102-3627

Funding

CAPES 001
6 · The paper itself

Abstract

Predicting the geographic distribution of plants that provide ecosystem services is essential to understand the adaptation of communities and conserve that group toward climate change. Predictions can be more accurate if changes in physiological characteristics of species due to those changes are included. Thus, we aimed to evaluate the impacts of climate change on the different hierarchical levels of Apuleia leiocarpa (Vogel) J. F. Macbr. (Fabaceae). Therefore, we experimentally evaluate the effect of different temperatures on the initial development (vigor) and estimate the impact of climate change on the potential geographic distribution of the species, using ecological niche approaches. For the experiment, we used 11 temperature intervals of 2 °C ranging from 21 to 41 °C. We used ecological niche modeling techniques (ENM) to predict the species' environmental suitability in future climate scenarios. The association between the experiment and niche models was obtained by testing the relationships of temperature increase on the species vigor and geographic distribution. This conceptual model to determine the direct and indirect effects of temperature was generated using the methodological framework of structural equation models. The experiment showed that the seeds had the highest growth at 31 °C. ENMs indicated that due to climate change, there is a tendency for the plant to migrate to regions with milder temperatures. However, such regions may be unsuitable for the plant since they do not have ideal temperatures to germinate, which may cause a drastic reduction in their availability in a future climate change scenario. The inclusion of seed germination through experimental research allowed us to detect an area that is less suitable for germination despite being climatically suitable for the species. Thus, research that integrates the effect of climate on the different stages of the organism's development is essential to understand the impact of climate change on biodiversity.

Indexed as

Climate ChangeEcosystemAnimalsEndangered SpeciesEnvironmental MonitoringGerminationSeedsCerradoEcological niche modelsGlobal warmingSeed germinationStructural equation models

Identifiers

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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.