Evidence map›Paper›PMID 33119582›Full record

ArticlePLoS biology2020

Expanding conservation culturomics and iEcology from terrestrial to aquatic realms.

Ivan Jarić, Uri Roll, Robert Arlinghaus, Jonathan Belmaker, Yan Chen, Victor China, Karel Douda, Franz Essl, Sonja C Jähnig, Jonathan M Jeschke and 12 more

Abstract read
In one paragraph

Article in PLoS biology, 2020. 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
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  5. Review
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  9. Article
  10. Leveraging social media and deep learning to detect rare megafauna in video surveys.Conservation biology : the journal of the Society for Conservation Biology · 2022
    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

22 authors.

Ivan JarićBiology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.ORCID 0000-0002-2185-297X
Uri RollMitrani Department of Desert Ecology, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.ORCID 0000-0002-5418-1164
Robert ArlinghausLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0003-2861-527X
Jonathan BelmakerSchool of Zoology, Tel-Aviv University, Tel-Aviv, Israel.ORCID 0000-0002-5618-7359
Yan ChenSchool for Resource and Environmental Studies, Dalhousie University, Halifax, Canada.ORCID 0000-0003-4002-5141
Victor ChinaThe Jacob Blaustein Center for Scientific Cooperation, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.ORCID 0000-0003-0141-4021
Karel DoudaDepartment of Zoology and Fisheries, FAFNR, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0002-7778-5147
Franz EsslDepartment of Botany and Biodiversity Research, University of Vienna, Vienna, Austria.ORCID 0000-0001-8253-2112
Sonja C JähnigLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0002-6349-9561
Jonathan M JeschkeLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0003-3328-4217
Gregor KalinkatLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0003-3529-5681
Lukáš KalousDepartment of Zoology and Fisheries, FAFNR, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0001-5518-1505
Richard LadleInstitute of Biological and Health Sciences, Federal University of Alagoas, Av. Lourival Melo Mota, Maceió, Brazil.
Robert J LennoxLaboratory for Freshwater Ecology and Inland Fisheries at NORCE Norwegian Research Center, Bergen, Norway.ORCID 0000-0003-1010-0577
Rui RosaMARE-Marine and Environmental Sciences Centre, Laboratório Marítimo da Guia, Faculdade de Ciências da Universidade de Lisboa, Cascais, Portugal.ORCID 0000-0003-2801-5178
Valerio SbragagliaLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0002-4775-7049
Kate SherrenSchool for Resource and Environmental Studies, Dalhousie University, Halifax, Canada.ORCID 0000-0003-1576-9878
Marek ŠmejkalBiology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.ORCID 0000-0002-7887-6411
Andrea Soriano-RedondoCIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Universidade do Porto, Vairão, Portugal.ORCID 0000-0003-0728-730X
Allan T SouzaBiology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, České Budějovice, Czech Republic.
Christian WolterLeibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.ORCID 0000-0002-2819-2900
Ricardo A CorreiaInstitute of Biological and Health Sciences, Federal University of Alagoas, Av. Lourival Melo Mota, Maceió, Brazil.ORCID 0000-0001-7359-9091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing digital revolution in the age of big data is opening new research opportunities. Culturomics and iEcology, two emerging research areas based on the analysis of online data resources, can provide novel scientific insights and inform conservation and management efforts. To date, culturomics and iEcology have been applied primarily in the terrestrial realm. Here, we advocate for expanding such applications to the aquatic realm by providing a brief overview of these new approaches and outlining key areas in which culturomics and iEcology are likely to have the highest impact, including the management of protected areas; fisheries; flagship species identification; detection and distribution of threatened, rare, and alien species; assessment of ecosystem status and anthropogenic impacts; and social impact assessment. When deployed in the right context with awareness of potential biases, culturomics and iEcology are ripe for rapid development as low-cost research approaches based on data available from digital sources, with increasingly diverse applications for aquatic ecosystems.

Indexed as

Conservation of Natural ResourcesEcosystemAnimalsAnimals, WildBiasEndangered SpeciesFisheries

Identifiers

PMID33119582
PMCPMC7595319

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.