Evidence map›Paper›PMID 32701058›Full record

ArticleeLife2020

Combining agent-based, trait-based and demographic approaches to model coral-community dynamics.

Bruno Sylvain Carturan, Jason Pither, Jean-Philippe Maréchal, Corey Ja Bradshaw, Lael Parrott

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

5 authors.

Bruno Sylvain CarturanDepartment of Biology, University of British Columbia, Kelowna, Canada.ORCID 0000-0001-6811-1063
Jason Pither *Department of Biology, University of British Columbia, Kelowna, Canada.ORCID 0000-0002-7490-6839
Jean-Philippe MaréchalNova Blue Environment, Schoelcher, France.ORCID 0000-0002-9413-5242
Corey Ja BradshawGlobal Ecology, College of Science and Engineering, Flinders University, Adelaide, Australia.ORCID 0000-0002-5328-7741
Lael Parrott *Department of Biology, University of British Columbia, Kelowna, Canada.

Funding

Canada Foundation for Innovation 23065Natural Sciences and Engineering Research Council of Canada 2014-04176Natural Sciences and Engineering Research Council of Canada 2019-05190
6 · The paper itself

Abstract

The complexity of coral-reef ecosystems makes it challenging to predict their dynamics and resilience under future disturbance regimes. Models for coral-reef dynamics do not adequately account for the high functional diversity exhibited by corals. Models that are ecologically and mechanistically detailed are therefore required to simulate the ecological processes driving coral reef dynamics. Here, we describe a novel model that includes processes at different spatial scales, and the contribution of species' functional diversity to benthic-community dynamics. We calibrated and validated the model to reproduce observed dynamics using empirical data from Caribbean reefs. The model exhibits realistic community dynamics, and individual population dynamics are ecologically plausible. A global sensitivity analysis revealed that the number of larvae produced locally, and interaction-induced reductions in growth rate are the parameters with the largest influence on community dynamics. The model provides a platform for virtual experiments to explore diversity-functioning relationships in coral reefs.

Indexed as

Coral ReefsModels, TheoreticalPopulation DynamicsAnimalsAnthozoaBiodiversityCaribbean Regionagent-based modelbiodiversitycomputational biologycoralecologyecosystem functioningfunctional traitsresiliencesystems biology

Identifiers

PMID32701058
PMCPMC7473774

What OpenQuestion holds

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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.