Evidence map›Paper›PMID 35003644›Full record

ArticleEcology and evolution2021

The use of singlebeam echo-sounder depth data to produce demersal fish distribution models that are comparable to models produced using multibeam echo-sounder depth.

Marcela Montserrat Landero Figueroa, Miles J G Parsons, Benjamin J Saunders, Ben Radford, Chandra Salgado-Kent, Iain M Parnum

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Marcela Montserrat Landero FigueroaCentre for Marine Science and Technology (CMST) Curtin University Perth WA Australia.ORCID https://orcid.org/0000-0001-6529-0676
Miles J G ParsonsAustralian Institute of Marine Science Nedlands WA Australia.
Benjamin J SaundersSchool of Molecular and Life Sciences Curtin University Bentley WA Australia.ORCID https://orcid.org/0000-0003-1929-518X
Ben RadfordAustralian Institute of Marine Science Nedlands WA Australia.
Chandra Salgado-KentCentre for Marine Science and Technology (CMST) Curtin University Perth WA Australia.
Iain M ParnumCentre for Marine Science and Technology (CMST) Curtin University Perth WA Australia.ORCID https://orcid.org/0000-0003-4491-3445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seafloor characteristics can help in the prediction of fish distribution, which is required for fisheries and conservation management. Despite this, only 5%-10% of the world's seafloor has been mapped at high resolution, as it is a time-consuming and expensive process. Multibeam echo-sounders (MBES) can produce high-resolution bathymetry and a broad swath coverage of the seafloor, but require greater financial and technical resources for operation and data analysis than singlebeam echo-sounders (SBES). In contrast, SBES provide comparatively limited spatial coverage, as only a single measurement is made from directly under the vessel. Thus, producing a continuous map requires interpolation to fill gaps between transects. This study assesses the performance of demersal fish species distribution models by comparing those derived from interpolated SBES data with full-coverage MBES distribution models. A Random Forest classifier was used to model the distribution of

Indexed as

bathymetrydemersal fish distributionhabitat modelinterpolationmultibeamsinglebeam echo‐sounder

Identifiers

PMID35003644
PMCPMC8717343

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.