Evidence map›Paper›PMID 29070893›Full record

ArticleScientific reports2017

Linking fishes to multiple metrics of coral reef structural complexity using three-dimensional technology.

M González-Rivero, A R Harborne, A Herrera-Reveles, Y-M Bozec, A Rogers, A Friedman, A Ganase, O Hoegh-Guldberg

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 85 citations in OpenAlex.

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  16. Site-level variation in field of view is associated with altered anti-predator responses in farming damselfish.Behavioral ecology : official journal of the International Society for Behavioral Ecology
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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

8 authors at 5 institutions in 3 countries.

M González-RiveroThe Global Change Institute, The University of Queensland, St Lucia, Queensland, 4072, Australia. m.gonzalezrivero@uq.edu.au.ORCID 0000-0003-0252-584X
A R HarborneAustralian Research Council Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, 4072, Australia.
A Herrera-RevelesInstituto de Zoología y Ecología Tropical, Universidad Central de Venezuela. Caracas, Distrito Capital, 1051, Venezuela.
Y-M BozecAustralian Research Council Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, 4072, Australia.
A RogersSchool of Biological Sciences, The University of Queensland, St Lucia, Queensland, 4072, Australia.
A FriedmanGreybits Engineering, Sydney, New South Wales, 2029, Australia.
A GanaseThe Global Change Institute, The University of Queensland, St Lucia, Queensland, 4072, Australia.
O Hoegh-GuldbergThe Global Change Institute, The University of Queensland, St Lucia, Queensland, 4072, Australia.
Australian Research Council · AUAustralian Centre for Robotic Vision · AUAustralian Institute of Marine Science · AUCentral University of Venezuela · VEThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural complexity strongly influences biodiversity and ecosystem productivity. On coral reefs, structural complexity is typically measured using a single and small-scale metric ('rugosity') that represents multiple spatial attributes differentially exploited by species, thus limiting a complete understanding of how fish associate with reef structure. We used a novel approach to compare relationships between fishes and previously unavailable components of reef complexity, and contrasted the results against the traditional rugosity index. This study focused on damselfish to explore relationships between fishes and reef structure. Three territorial species, with contrasting trophic habits and expected use of the reef structure, were examined to infer the potential species-specific mechanisms associated with how complexity influences habitat selection. Three-dimensional reef reconstructions from photogrammetry quantified the following metrics of habitat quality: 1) visual exposure to predators and competitors, 2) density of predation refuges and 3) substrate-related food availability. These metrics explained the species distribution better than the traditional measure of rugosity, and each species responded to different complexity components. Given that a critical effect of reef degradation is loss of structure, adopting three-dimensional technologies potentially offers a new tool to both understand species-habitat association and help forecast how fishes will be affected by the flattening of reefs.

Indexed as

BiodiversityCoral ReefsEcosystemMolecular ConformationAnimalsFishesPopulation DynamicsPredatory BehaviorSpecies Specificity

Identifiers

PMID29070893
PMCPMC5656654
OpenAlexW2765180004

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.