Evidence map›Paper›PMID 27635314›Full record

ArticlePeerJ2016

Joint estimation of crown of thorns (Acanthaster planci) densities on the Great Barrier Reef.

M Aaron MacNeil, Camille Mellin, Morgan S Pratchett, Jessica Hoey, Kenneth R N Anthony, Alistair J Cheal, Ian Miller, Hugh Sweatman, Zara L Cowan, Sascha Taylor and 2 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. 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
2.2field-weighted citation impact, top 13% of its field
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, 29 citations in OpenAlex.

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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

12 authors at 7 institutions in 3 countries.

M Aaron MacNeilAustralian Institute of Marine Science, Townsville, Queensland, Australia; ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia; Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, Canada.
Camille MellinAustralian Institute of Marine Science, Townsville, Queensland, Australia; The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Morgan S PratchettARC Centre of Excellence for Coral Reef Studies, James Cook University , Townsville , Queensland , Australia.
Jessica HoeyGreat Barrier Reef Marine Park Authority , Townsville , Queensland , Australia.
Kenneth R N AnthonyAustralian Institute of Marine Science , Townsville , Queensland , Australia.
Alistair J ChealAustralian Institute of Marine Science , Townsville , Queensland , Australia.
Ian MillerAustralian Institute of Marine Science , Townsville , Queensland , Australia.
Hugh SweatmanAustralian Institute of Marine Science , Townsville , Queensland , Australia.
Zara L CowanARC Centre of Excellence for Coral Reef Studies, James Cook University , Townsville , Queensland , Australia.
Sascha TaylorQueensland Parks and Wildlife Service (Marine Parks), Queensland Deptartment of National Parks, Sport and Racing , Brisbane , Queensland , Australia.
Steven MoonAssociation of Marine Park Tourism Operators , Cairns , Australia.
Chris J FonnesbeckDepartment of Biostatistics, Vanderbilt University Medical Center , Nashville , TN , United States of America.
Australian Institute of Marine Science · AUARC Centre of Excellence for Coral Reef Studies · AUGreat Barrier Reef Marine Park Authority · AUJames Cook University · AUParks and Wildlife Service · AUThe University of Adelaide · AUVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crown-of-thorns starfish (CoTS; Acanthaster spp.) are an outbreaking pest among many Indo-Pacific coral reefs that cause substantial ecological and economic damage. Despite ongoing CoTS research, there remain critical gaps in observing CoTS populations and accurately estimating their numbers, greatly limiting understanding of the causes and sources of CoTS outbreaks. Here we address two of these gaps by (1) estimating the detectability of adult CoTS on typical underwater visual count (UVC) surveys using covariates and (2) inter-calibrating multiple data sources to estimate CoTS densities within the Cairns sector of the Great Barrier Reef (GBR). We find that, on average, CoTS detectability is high at 0.82 [0.77, 0.87] (median highest posterior density (HPD) and [95% uncertainty intervals]), with CoTS disc width having the greatest influence on detection. Integrating this information with coincident surveys from alternative sampling programs, we estimate CoTS densities in the Cairns sector of the GBR averaged 44 [41, 48] adults per hectare in 2014.

Indexed as

Bayesian analysisCoTSData integrationMark-recaptureMonitoring

Identifiers

PMID27635314
PMCPMC5012317
OpenAlexW2465499619

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.