Evidence map›Paper›PMID 39433778›Full record

ArticleScientific reports2024

Capturing fine-scale coral dynamics with a metacommunity modelling framework.

Anna K Cresswell, Vanessa Haller-Bull, Manuel Gonzalez-Rivero, James P Gilmour, Yves-Marie Bozec, Diego R Barneche, Barbara Robson, Kenneth R N Anthony, Christopher Doropoulos, Chris Roelfsema and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

15 authors.

Anna K CresswellAustralian Institute of Marine Science, Perth, WA, 6009, Australia. annacresswell@gmail.com.ORCID http://orcid.org/0000-0001-6740-9052
Vanessa Haller-BullAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.ORCID http://orcid.org/0000-0002-3919-7053
Manuel Gonzalez-RiveroAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.
James P GilmourAustralian Institute of Marine Science, Perth, WA, 6009, Australia.
Yves-Marie BozecSchool of the Environment, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0002-7190-5187
Diego R BarnecheAustralian Institute of Marine Science, Perth, WA, 6009, Australia.ORCID http://orcid.org/0000-0002-4568-2362
Barbara RobsonAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.
Kenneth R N AnthonyAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.ORCID http://orcid.org/0000-0002-2383-2729
Christopher DoropoulosCSIRO Environment, St. Lucia, QLD, 4067, Australia.ORCID http://orcid.org/0000-0001-8038-2771
Chris RoelfsemaSchool of the Environment, The University of Queensland, Brisbane, QLD, 4072, Australia.
Mitchell LyonsUniversity of New South Wales, Sydney, NSW, 2052, Australia.
Peter J MumbySchool of the Environment, The University of Queensland, Brisbane, QLD, 4072, Australia.ORCID http://orcid.org/0000-0002-6297-9053
Scott CondieCSIRO Environment, Hobart, TAS, 7001, Australia.ORCID http://orcid.org/0000-0002-5943-014X
Veronique LagoAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.
Juan-Carlos OrtizAustralian Institute of Marine Science, Townsville, QLD, 4810, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural systems exhibit high spatial variability across multiple scales. Models that can capture ecosystem dynamics across space and time by explicitly incorporating major biological mechanisms are crucial, both for management and for ecological insight. In the case of coral reef systems, much focus has been on modelling variability between reefs, despite substantial variability also existing within reefs. We developed C~scape, a coral metacommunity modelling framework that integrates the demography of corals with population-level responses to physical and environmental spatial layers, to facilitate spatiotemporal predictions of coral dynamics across reefs at fine (100s of metres to kilometres) scales. We used satellite-derived habitat maps to modulate community growth spatially, as a proxy for the many interacting physical and environmental factors-e.g., depth, light, wave exposure, temperature, and substrate type-that drive within-reef variability in coral demography. With a case study from the Great Barrier Reef, we demonstrate the model's capability for producing hindcasts of coral cover dynamics and show that overlooking within-reef variability may lead to misleading conclusions about metacommunity dynamics. C~scape provides a valuable framework for exploring a range of management and restoration scenarios at relevant spatial scales.

Indexed as

AnthozoaCoral ReefsEcosystemAnimalsModels, BiologicalModels, TheoreticalPopulation Dynamics

Identifiers

PMID39433778
PMCPMC11494194

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.