Evidence map›Paper›PMID 42662516›Full record

ArticleEcology and evolution2026

Environmental and Evolutionary Correlates of Extinction Risk in a Global Biodiversity Hotspot.

Francis J Nge, Thi H Chung

Erratum issuedAbstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Francis J NgeNational Herbarium of New South Wales Botanic Gardens of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0002-0361-8709
Thi H ChungSP Jain School of Global Management Lidcombe, Sydney New South Wales Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macro-evolutionary and ecological drivers of extinction risk in different organismal groups are not well understood. Some studies have indicated that certain clades may be predisposed to extinction. Through a comparative phylogenetic framework, we assessed whether there are significant evolutionary and environmental correlates of extinction risk for a species rich plant group (Pomaderreae tribe; Rhamnaceae). We focused on the southwest Australian global biodiversity hotspot, where most species of Pomaderreae occur. We also applied 10 different machine learning models to predict and impute data for species that lack flowering time information (18/87 taxa). The

Indexed as

Australian plantsbiodiversity hotspotdiversification ratesextinction riskmachine learningRhamnaceae

Identifiers

PMID42662516
PMCPMC13519961

What OpenQuestion holds

Textmetadata
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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.