Evidence map›Paper›PMID 32286314›Full record

ArticleScientific data2020

A fine-tuned global distribution dataset of marine forests.

Jorge Assis, Eliza Fragkopoulou, Duarte Frade, João Neiva, André Oliveira, David Abecasis, Sylvain Faugeron, Ester A Serrão

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  6. Article
  7. Drivers of spatiotemporal variability in a marine foundation species.Ecological applications : a publication of the Ecological Society of America · 2025
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  8. Article
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  12. Article
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  14. Keep It Simple: Improving the Ex Situ Culture ofPlants (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Article
  17. Global seaweed productivity.Science advances · 2022
    Article
  18. Article
  19. Article
  20. Anthropogenic pressures and life history predict trajectories of seagrass meadow extent at a global scale.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

8 authors.

Jorge Assis *CCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal. jorgemfa@gmail.com.ORCID http://orcid.org/0000-0002-6624-4820
Eliza Fragkopoulou *CCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.ORCID http://orcid.org/0000-0002-0557-3954
Duarte FradeCCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.ORCID http://orcid.org/0000-0002-2809-7241
João NeivaCCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.ORCID http://orcid.org/0000-0002-5927-4570
André OliveiraCCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.
David AbecasisCCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.
Sylvain FaugeronCentro de Conservación Marina and CeBiB, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ester A SerrãoCCMAR - Centre of Marine Sciences, University of Algarve, 8005-139, Faro, Portugal.

Funding

Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) DL57/2016/CP1361/CT0035Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) SFRH/BD/144878/2019Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) SFRH/BPD/111003/2015
6 · The paper itself

Abstract

Species distribution records are a prerequisite to follow climate-induced range shifts across space and time. However, synthesizing information from various sources such as peer-reviewed literature, herbaria, digital repositories and citizen science initiatives is not only costly and time consuming, but also challenging, as data may contain thematic and taxonomic errors and generally lack standardized formats. We address this gap for important marine ecosystem-structuring species of large brown algae and seagrasses. We gathered distribution records from various sources and provide a fine-tuned dataset with ~2.8 million dereplicated records, taxonomically standardized for 682 species, and considering important physiological and biogeographical traits. Specifically, a flagging system was implemented to signal potentially incorrect records reported on land, in regions with limiting light conditions for photosynthesis, and outside the known distribution of species, as inferred from the most recent published literature. We document the procedure and provide a dataset in tabular format based on Darwin Core Standard (DwC), alongside with a set of functions in R language for data management and visualization.

Indexed as

EcosystemAquatic OrganismsClimatePhaeophyceae

Identifiers

PMID32286314
PMCPMC7156423

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.