Evidence map›Paper›PMID 36440315›Full record

ArticleEcology and evolution2022

Community phylogeny and spatial scale affect phylogenetic diversity metrics in a species-rich rainforest in Borneo.

Seiya Okuno, Tingting Yin, Satoshi Nanami, Shuhei Matsuyama, Koichi Kamiya, Sylvester Tan, Stuart J Davies, Mohizah Mohamad, Takuo Yamakura, Akira Itoh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2022. 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. 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.

Seiya OkunoGraduate School of Science Osaka City University Osaka Japan.ORCID https://orcid.org/0000-0001-8923-7108
Tingting YinGraduate School of Science Osaka City University Osaka Japan.
Satoshi NanamiGraduate School of Science Osaka City University Osaka Japan.
Shuhei MatsuyamaCollege of Agriculture, Food and Environmental Sciences Rakuno Gakuen University Ebetsu Japan.
Koichi KamiyaGraduate School of Agriculture Ehime University Matsuyama Japan.
Sylvester TanGlobal Earth Observatory (ForestGEO) Smithsonian Tropical Research Institute Washington USA.
Stuart J DaviesGlobal Earth Observatory (ForestGEO) Smithsonian Tropical Research Institute Washington USA.
Mohizah MohamadForest Department Sarawak Kuching Sarawak Malaysia.
Takuo YamakuraGraduate School of Science Osaka City University Osaka Japan.
Akira ItohGraduate School of Science Osaka City University Osaka Japan.ORCID https://orcid.org/0000-0002-2493-1681

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community phylogenetic analysis is an effective approach to understanding the process of community formation. The phylogenetic tree of the species pool is reconstructed in the first step, and the phylogenetic tree obtained in the second step is used to analyze phylogenetic diversity. Sythetic trees have often been used in the construction of phylogenentic trees; however, in tropical rainforests with many closely related species, synthetic trees contain many unresolved nodes, which may affect the results of phylogenetic structure analysis. Here, we constructed a phylogenetic tree using DNA barcode sequences (

Indexed as

community phylogenyDNA barcodingSouth‐East Asiatropical rainforest

Identifiers

PMID36440315
PMCPMC9682210

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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.