Evidence map›Paper›PMID 35228664›Full record

ReviewCommunications biology2022

Social networks and the conservation of fish.

David Villegas-Ríos, David M P Jacoby, Johann Mourier

Abstract readReview
In one paragraph

Review in Communications biology, 2022. 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.

  1. Review
  2. Fishy culture in a changing world.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  3. Article
  4. 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

3 authors.

David Villegas-Ríos *Instituto Mediterráneo de Estudios Avanzados (CSIC-UiB), Departamento de Ecología y Recursos Marinos, C/Miquel Marqués 21, 07190, Esporles, Islas Baleares, Spain. dvillegas@iim.csic.es.ORCID http://orcid.org/0000-0001-5660-5322
David M P Jacoby *Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.ORCID http://orcid.org/0000-0003-2729-3811
Johann Mourier *UMS 3514 Plateforme Marine Stella Mare, Université de Corse Pasquale Paoli, 20620, Biguglia, France.ORCID http://orcid.org/0000-0001-9019-1717

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 793627
6 · The paper itself

Abstract

Despite our critical dependence on aquatic wildlife, we lack a complete understanding of the drivers of population stability and structure for most fish species. Social network analysis has been increasingly used to investigate animal societies as it explicitly links individual decision-making to population-level processes and demography. While the study of social structure is of great ecological interest, it is also potentially important for species of economic value or of conservation concern. To date however, there has been little focus on how social processes are likely to influence the conservation of fish populations. Here we identify applications for how a social network approach can help address broad fish conservation themes such as population structure, biological invasions or fisheries management. We discuss the burgeoning opportunities offered and challenges still faced by current technologies to integrate social network approaches within fish conservation.

Indexed as

Conservation of Natural ResourcesFisheriesAnimalsAnimals, WildFishesSocial Networking

Identifiers

PMID35228664
PMCPMC8885690

What OpenQuestion holds

Textmetadata
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.