Evidence map›Paper›PMID 36793682›Full record

ArticleEvolutionary applications2023

Evaluating the suitability of close-kin mark-recapture as a demographic modelling tool for a critically endangered elasmobranch population.

Aurélien Delaval, Victoria Bendall, Stuart J Hetherington, Hans J Skaug, Michelle Frost, Catherine S Jones, Leslie R Noble

Abstract read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Application of spatially robust stereo-BRUV sampling for quantifying fish assemblages in UK marine protected areas.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Temporal Variability in Effective Size (Molecular ecology resources · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

7 authors.

Aurélien DelavalFaculty of Biosciences and Aquaculture Nord University Bodø Norway.ORCID https://orcid.org/0000-0002-2223-2932
Victoria BendallCentre for Environment Fisheries and Aquaculture Science (CEFAS) Lowestoft UK.
Stuart J HetheringtonCentre for Environment Fisheries and Aquaculture Science (CEFAS) Lowestoft UK.
Hans J SkaugDepartment of Mathematics University of Bergen Bergen Norway.
Michelle FrostSchool of Biological Sciences University of Aberdeen Aberdeen UK.
Catherine S JonesSchool of Biological Sciences University of Aberdeen Aberdeen UK.
Leslie R NobleFaculty of Biosciences and Aquaculture Nord University Bodø Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries-independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark-recapture programmes ineffectual. Close-kin mark-recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (

Indexed as

abundance estimationblue skateclose‐kin mark‐recaptureconservationelasmobranchfisheries

Identifiers

PMID36793682
PMCPMC9923483

What OpenQuestion holds

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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.