Evidence map›Paper›PMID 29682410›Full record

ArticlePeerJ2018

Challenges of transferring models of fish abundance between coral reefs.

Ana M M Sequeira, Camille Mellin, Hector M Lozano-Montes, Jessica J Meeuwig, Mathew A Vanderklift, Michael D E Haywood, Russell C Babcock, M Julian Caley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ana M M SequeiraIOMRC and The UWA Oceans Institute, The University of Western Australia, Crawley, Western Australia, Australia.
Camille MellinAustralian Institute of Marine Science, Townsville, Queensland, Australia.
Hector M Lozano-MontesIndian Ocean Marine Research Centre, CSIRO Oceans and Atmosphere, Crawley, Western Australia, Australia.
Jessica J MeeuwigCentre for Marine Futures and School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, Australia.
Mathew A VanderkliftIndian Ocean Marine Research Centre, CSIRO Oceans and Atmosphere, Crawley, Western Australia, Australia.
Michael D E HaywoodDutton Park, CSIRO Oceans and Atmosphere, Brisbane, Queensland, Australia.
Russell C BabcockDutton Park, CSIRO Oceans and Atmosphere, Brisbane, Queensland, Australia.
M Julian CaleySchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable abundance estimates for species are fundamental in ecology, fisheries, and conservation. Consequently, predictive models able to provide reliable estimates for un- or poorly-surveyed locations would prove a valuable tool for management. Based on commonly used environmental and physical predictors, we developed predictive models of total fish abundance and of abundance by fish family for ten representative taxonomic families for the Great Barrier Reef (GBR) using multiple temporal scenarios. We then tested if models developed for the GBR (reference system) could predict fish abundances at Ningaloo Reef (NR; target system), i.e., if these GBR models could be successfully transferred to NR. Models of abundance by fish family resulted in improved performance (e.g., 44.1% <

Indexed as

Generalized linear mixed-effects modellingGreat Barrier ReefNingaloo ReefSpecies distribution modelsUnderwater visual counts

Identifiers

PMID29682410
PMCPMC5909686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.