Evidence map›Paper›PMID 39139917›Full record

ArticleEcology and evolution2024

Efficient and reliable methods for estimating the abundance of keystone coastal macrofauna over large spatial scales.

Molly Reamon, Johanna B Marcussen, Ane T Laugen, Lars M Korslund

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Molly ReamonCentre for Coastal Research, Department of Natural Sciences University of Agder Kristiansand Norway.ORCID https://orcid.org/0000-0001-7155-990X
Johanna B MarcussenCentre for Coastal Research, Department of Natural Sciences University of Agder Kristiansand Norway.
Ane T LaugenCentre for Coastal Research, Department of Natural Sciences University of Agder Kristiansand Norway.ORCID https://orcid.org/0000-0001-6196-8304
Lars M KorslundCentre for Coastal Research, Department of Natural Sciences University of Agder Kristiansand Norway.ORCID https://orcid.org/0000-0001-9825-1294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal bivalves are important ecosystem engineers, and identifying critical habitats can enhance conservation outcomes for threated keystone species as well as determining hotspots for invasive species. As early action is more efficient in both conservation and mitigation of species invasions, efficient and reliable tools for mapping and monitoring species over large scales are essential. We assessed the reliability and efficiency of towed video and quadrat sampling for estimating the abundance of three keystone macrofaunal bivalve species. To assess reliability, we compared the measured density based on each of the two methods to the "true" density estimated by manually surveying an entire transect. We found that both the video and quadrat method caused underestimation of the density of bivalves, but that the amount of underestimation was comparable, and further that both methods took substantially less time than surveying an entire transect manually. The video method underestimated the abundance of Pacific oysters (

Indexed as

blue musselEuropean flat oystermarine habitat mappingPacific oystertowed videounderwater imagery

Identifiers

PMID39139917
PMCPMC11319847

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.