Evidence map›Paper›PMID 33192143›Full record

ArticlePhytoKeys2020

Iron islands in the Amazon: investigating plant beta diversity of canga outcrops.

Caroline Oliveira Andrino, Rafael Gomes Barbosa-Silva, Juliana Lovo, Pedro Lage Viana, Marcelo Freire Moro, Daniela Cristina Zappi

Abstract read
In one paragraph

Article in PhytoKeys, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Caroline Oliveira AndrinoInstituto Tecnológico Vale, Belém, Pará, Brazil Instituto Tecnológico Vale Belém Brazil.ORCID https://orcid.org/0000-0003-1107-5692
Rafael Gomes Barbosa-SilvaInstituto Tecnológico Vale, Belém, Pará, Brazil Instituto Tecnológico Vale Belém Brazil.ORCID https://orcid.org/0000-0002-0668-4840
Juliana LovoInstituto Tecnológico Vale, Belém, Pará, Brazil Instituto Tecnológico Vale Belém Brazil.
Pedro Lage VianaMuseu Paraense Emílio Goeldi, Coordenação Botânica, Belém, Pará, Brazil Museu Paraense Emílio Goeldi Belém Brazil.
Marcelo Freire MoroInstituto de Ciências do Mar (Labomar), Universidade Federal do Ceará, Fortaleza, Ceará, Brazil Universidade Federal do Ceará Fortaleza Brazil.ORCID https://orcid.org/0000-0003-4527-346X
Daniela Cristina ZappiInstituto Tecnológico Vale, Belém, Pará, Brazil Instituto Tecnológico Vale Belém Brazil.ORCID https://orcid.org/0000-0001-6755-2238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world's largest mineral iron province, Serra dos Carajás, is home to an open vegetation known as canga, found on top of isolated outcrops rising out of the Amazon rainforest. Over one thousand vascular plants species have been recorded in these canga sites, including 38 edaphic endemics. A new survey adds to our investigation of biogeographic relationships between sixteen canga outcrops and the effect of the distance between site pairs on the number of shared species, regional species turnover and species distribution patterns. Plant collecting expeditions to the westernmost site, the Serra de Campos of São Félix do Xingu (SFX), were carried out followed by the identification of all collected specimens and the creation of a species database, built to perform biogeographical analyses. Floristic relationships among the sites were investigated regarding their similarity, using multivariate analyses. The correlation between canga areas and species richness was tested, as well as the geographical distance between pairs of outcrops and their shared species. Vascular plants at SFX total 254 species including 17 edaphic endemics. All canga sites are grouped with 25% of minimum similarity, and the SFX falls within a large subgroup of outcrops. The total species number shared between site pairs does not change significantly with geographical distance but is positively correlated with the area of each outcrop. Meanwhile, shared endemic species numbers between site pairs decline when geographical distance increases, possibly imposed by the barrier of the rainforest. Our data suggest higher shared similarity between the largest and species-richest sites as opposed to geographically nearby sites, and provide useful insight for drafting conservation and compensation measures for canga locations. The size of the canga outcrops is associated to higher floristic diversity but connectivity among islands also plays a role in their similarity.

Indexed as

campo rupestreedaphic endemismisland-like habitatsNeotropical mountainsplant species diversityrainforestvascular plant survey

Identifiers

PMID33192143
PMCPMC7642173

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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.