Evidence map›Paper›PMID 40078819›Full record

ReviewCambridge prisms. Extinction2024

Inferring species extinction from sighting data.

Rachel S McCrea, Thomas Cheale, Eduard Campillo-Funollet, David L Roberts

Abstract readReview
In one paragraph

Review in Cambridge prisms. Extinction, 2024. 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. Review
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

4 authors.

Rachel S McCreaSchool of Mathematical Sciences, Fylde College, Lancaster University, Lancaster, UK.ORCID https://orcid.org/0000-0002-3813-5328
Thomas ChealeSchool of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK.
Eduard Campillo-FunolletSchool of Mathematical Sciences, Fylde College, Lancaster University, Lancaster, UK.
David L RobertsDurrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, Kent, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding whether a species still persists, or the timing of its extinction is challenging, however, such knowledge is fundamental for effective species management.For the vast majority of species our understanding of their existence is based solely on sighting data that can range from museum specimens and clear photographs, through vocalisations, to markings and oral accounts.Here we review the methods that have been developed to infer the extinction of species from a sighting record, providing an understanding of their assumptions and applications. We have also produced an RShiny package which can be used to implement some of the methods presented in the article.While there are a number of potential areas that could be further developed, the methods reviewed provide a useful tool for inferring species extinction.

Indexed as

extailleextinctionextirpationPoisson processrediscoverytime series

Identifiers

PMID40078819
PMCPMC11895718

What OpenQuestion holds

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LicenceCC BY
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.