Evidence map›Paper›PMID 39867497›Full record

ArticleEcology and evolution2025

Revealing Elasmobranch Distributions in Turbid Coastal Waters: Insights From Environmental DNA and Particle Tracking.

Nick Dunn, Sophie Ward, Joanna Barker, Jake Davies, Sarah Davies, Ben Wray, Peter Robins, Isabelle Apetroaie, Jake Williams, Kevin Hopkins and 1 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

11 authors.

Nick DunnInstitute of Zoology of the Zoological Society of London London UK.ORCID https://orcid.org/0000-0002-6231-5222
Sophie WardSchool of Ocean Sciences Bangor University Menai Bridge Anglesey UK.ORCID https://orcid.org/0000-0001-5146-9325
Joanna BarkerConservation and Policy Zoological Society of London London UK.ORCID https://orcid.org/0000-0003-1396-6851
Jake DaviesConservation and Policy Zoological Society of London London UK.ORCID https://orcid.org/0009-0000-9521-3057
Sarah DaviesConservation and Policy Zoological Society of London London UK.
Ben WrayNatural Resources Wales Bangor Maes y Ffynnon Bangor Wales UK.ORCID https://orcid.org/0009-0002-7505-2289
Peter RobinsSchool of Ocean Sciences Bangor University Menai Bridge Anglesey UK.ORCID https://orcid.org/0000-0001-9503-9845
Isabelle ApetroaieImperial College London-Silwood Park Campus Ascot UK.
Jake WilliamsInstitute of Zoology of the Zoological Society of London London UK.ORCID https://orcid.org/0009-0000-5068-1295
Kevin HopkinsInstitute of Zoology of the Zoological Society of London London UK.ORCID https://orcid.org/0000-0002-3251-7093
David CurnickInstitute of Zoology of the Zoological Society of London London UK.ORCID https://orcid.org/0000-0002-3093-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many sharks, rays and skates are highly threatened and vulnerable to overexploitation, as such reliable monitoring of elasmobranchs is key to effective management and conservation. The mobile and elusive nature of these species makes monitoring challenging, particularly in temperate waters with low visibility. Environmental DNA (eDNA) methods present an opportunity to study these species in the absence of visual identification or invasive techniques. However, eDNA data alone can be difficult to interpret for species monitoring, particularly in a marine setting where its distribution can be influenced by water currents. In this study, we investigated the spatial and temporal distribution of elasmobranch species in two Special Areas for Conservation (SAC) off the coast of Wales. We took monthly eDNA samples for 1 year (starting September 2020 and March 2022 for the northern and southern SACs, respectively), and used metabarcoding to reveal the presence of elasmobranch species. We combined these data with hydrodynamic modelling and particle tracking methods to simulate the potential origins of the detected eDNA. We detected 11 elasmobranch species, including the critically endangered angelshark (

Indexed as

eDNAhydrodynamic modellingmarinemetabarcodingsharks and rays

Identifiers

PMID39867497
PMCPMC11758260

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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.