Evidence map›Paper›PMID 32370670›Full record

ArticleProceedings. Biological sciences2020

Spatiophylogenetic modelling of extinction risk reveals evolutionary distinctiveness and brief flowering period as threats in a hotspot plant genus.

Russell Dinnage, Alexander Skeels, Marcel Cardillo

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Global primary predictors of extinction risk in primates.Proceedings. Biological sciences · 2024
    Article
  4. Article
  5. Body size shapes song in honeyeaters.Proceedings. Biological sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The uses and abuses of tree thinking in cultural evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  16. 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

3 authors.

Russell DinnageMacroevolution and Macroecology Group, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Alexander SkeelsMacroevolution and Macroecology Group, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.
Marcel CardilloMacroevolution and Macroecology Group, Research School of Biology, Australian National University, Canberra, Australian Capital Territory 0200, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative models used to predict species threat status can help identify the diagnostic features of species at risk. Such models often combine variables measured at the species level with spatial variables, causing multiple statistical challenges, including phylogenetic and spatial non-independence. We present a novel Bayesian approach for modelling threat status that simultaneously deals with both forms of non-independence and estimates their relative contribution, and we apply the approach to modelling threat status in the Australian plant genus

Indexed as

Extinction, BiologicalMagnoliopsidaPhylogenyModels, Theoreticalbiodiversity hotspotcomparative methodsconservationextinction threatlatent extinction riskstatistical modelling

Identifiers

PMID32370670
PMCPMC7282897

What OpenQuestion holds

Textmetadata
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.