Evidence map›Paper›PMID 34341357›Full record

ArticleScientific data2021

Reef Cover, a coral reef classification for global habitat mapping from remote sensing.

Emma V Kennedy, Chris M Roelfsema, Mitchell B Lyons, Eva M Kovacs, Rodney Borrego-Acevedo, Meredith Roe, Stuart R Phinn, Kirk Larsen, Nicholas J Murray, Doddy Yuwono and 2 more

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Emma V KennedyRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia. e.kennedy@aims.gov.au.ORCID http://orcid.org/0000-0003-1821-9740
Chris M RoelfsemaRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia. c.roelfsema@uq.edu.au.
Mitchell B LyonsRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
Eva M KovacsRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-7228-4028
Rodney Borrego-AcevedoRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
Meredith RoeRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
Stuart R PhinnRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-2605-6104
Kirk LarsenVulcan Inc, Washington, 98104, USA.
Nicholas J MurrayRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-4008-3053
Doddy YuwonoRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
Jeremy WolffRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.
Paul TudmanRemote Sensing Research Centre, School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia.

Funding

Department of Education and Training | Australian Research Council (ARC) DE190100101
6 · The paper itself

Abstract

Coral reef management and conservation stand to benefit from improved high-resolution global mapping. Yet classifications underpinning large-scale reef mapping to date are typically poorly defined, not shared or region-specific, limiting end-users' ability to interpret outputs. Here we present Reef Cover, a coral reef geomorphic zone classification, developed to support both producers and end-users of global-scale coral reef habitat maps, in a transparent and version-based framework. Scalable classes were created by focusing on attributes that can be observed remotely, but whose membership rules also reflect deep knowledge of reef form and functioning. Bridging the divide between earth observation data and geo-ecological knowledge of reefs, Reef Cover maximises the trade-off between applicability at global scales, and relevance and accuracy at local scales. Two case studies demonstrate application of the Reef Cover classification scheme and its scientific and conservation benefits: 1) detailed mapping of the Cairns Management Region of the Great Barrier Reef to support management and 2) mapping of the Caroline and Mariana Island chains in the Pacific for conservation purposes.

Indexed as

Conservation of Natural ResourcesCoral ReefsRemote Sensing TechnologyAustralia

Identifiers

PMID34341357
PMCPMC8329285

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.