Evidence map›Paper›PMID 33049171›Full record

ArticleProceedings. Biological sciences2020

Long-term shifts in the colony size structure of coral populations along the Great Barrier Reef.

Andreas Dietzel, Michael Bode, Sean R Connolly, Terry P Hughes

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 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
12.0field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 125 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Andreas DietzelARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia.
Michael BodeARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia.
Sean R ConnollyARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia.
Terry P HughesARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Australia.
ARC Centre of Excellence for Coral Reef Studies · AUQueensland University of Technology · AUSmithsonian Tropical Research Institute · PA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The age or size structure of a population has a marked influence on its demography and reproductive capacity. While declines in coral cover are well documented, concomitant shifts in the size-frequency distribution of coral colonies are rarely measured at large spatial scales. Here, we document major shifts in the colony size structure of coral populations along the 2300 km length of the Great Barrier Reef relative to historical baselines (1995/1996). Coral colony abundances on reef crests and slopes have declined sharply across all colony size classes and in all coral taxa compared to historical baselines. Declines were particularly pronounced in the northern and central regions of the Great Barrier Reef, following mass coral bleaching in 2016 and 2017. The relative abundances of large colonies remained relatively stable, but this apparent stability masks steep declines in absolute abundance. The potential for recovery of older fecund corals is uncertain given the increasing frequency and intensity of disturbance events. The systematic decline in smaller colonies across regions, habitats and taxa, suggests that a decline in recruitment has further eroded the recovery potential and resilience of coral populations.

Indexed as

Coral ReefsAnimalsAnthozoaAustraliaFertilityReproductioncolony size-frequency distributiondisturbancepopulation viabilityrecruitmentreef recoverysize structure

Identifiers

PMID33049171
PMCPMC7657849
OpenAlexW3092524921

What OpenQuestion holds

Textmetadata
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.