Forecasting intensifying disturbance effects on coral reefs.

Bayesian modelling benthic communities bleaching broad spatial scales cumulative disturbances cyclones multivariate responses the Great Barrier Reef

Journal

Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746

Informations de publication

Date de publication:
05 2020
Historique:
received: 22 11 2019
revised: 28 01 2020
accepted: 23 02 2020
pubmed: 3 3 2020
medline: 1 7 2020
entrez: 3 3 2020
Statut: ppublish

Résumé

Anticipating future changes of an ecosystem's dynamics requires knowledge of how its key communities respond to current environmental regimes. The Great Barrier Reef (GBR) is under threat, with rapid changes of its reef-building hard coral (HC) community structure already evident across broad spatial scales. While several underlying relationships between HC and multiple disturbances have been documented, responses of other benthic communities to disturbances are not well understood. Here we used statistical modelling to explore the effects of broad-scale climate-related disturbances on benthic communities to predict their structure under scenarios of increasing disturbance frequency. We parameterized a multivariate model using the composition of benthic communities estimated by 145,000 observations from the northern GBR between 2012 and 2017. During this time, surveyed reefs were variously impacted by two tropical cyclones and two heat stress events that resulted in extensive HC mortality. This unprecedented sequence of disturbances was used to estimate the effects of discrete versus interacting disturbances on the compositional structure of HC, soft corals (SC) and algae. Discrete disturbances increased the prevalence of algae relative to HC while the interaction between cyclones and heat stress was the main driver of the increase in SC relative to algae and HC. Predictions from disturbance scenarios included relative increases in algae versus SC that varied by the frequency and types of disturbance interactions. However, high uncertainty of compositional changes in the presence of several disturbances shows that responses of algae and SC to the decline in HC needs further research. Better understanding of the effects of multiple disturbances on benthic communities as a whole is essential for predicting the future status of coral reefs and managing them in the light of new environmental regimes. The approach we develop here opens new opportunities for reaching this goal.

Identifiants

pubmed: 32115808
doi: 10.1111/gcb.15059
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2785-2797

Subventions

Organisme : XL Catlin Ltd.
Pays : International
Organisme : Australian Research Council
Pays : International

Informations de copyright

© 2020 John Wiley & Sons Ltd.

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Auteurs

Julie Vercelloni (J)

ARC Centre of Excellence for Coral Reef Studies, School of Biological Sciences, The University of Queensland, St Lucia, Qld, Australia.
The Global Change Institute, The University of Queensland, St Lucia, Qld, Australia.
ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Qld, Australia.
School of Mathematical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Qld, Australia.

Benoit Liquet (B)

ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Qld, Australia.
Université de Pau et des Pays de l'Adour, E2S UPPA, CNRS, LMAP, Pau, France.

Emma V Kennedy (EV)

The Global Change Institute, The University of Queensland, St Lucia, Qld, Australia.

Manuel González-Rivero (M)

ARC Centre of Excellence for Coral Reef Studies, School of Biological Sciences, The University of Queensland, St Lucia, Qld, Australia.
The Global Change Institute, The University of Queensland, St Lucia, Qld, Australia.

M Julian Caley (MJ)

ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Qld, Australia.
School of Mathematical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Qld, Australia.

Erin E Peterson (EE)

ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Qld, Australia.
Institute for Future Environments, Queensland University of Technology, Brisbane, Qld, Australia.

Marji Puotinen (M)

Australian Institute of Marine Science, Indian Ocean Marine Research Centre, University of Western Australia, Crawley, WA, Australia.

Ove Hoegh-Guldberg (O)

ARC Centre of Excellence for Coral Reef Studies, School of Biological Sciences, The University of Queensland, St Lucia, Qld, Australia.
The Global Change Institute, The University of Queensland, St Lucia, Qld, Australia.

Kerrie Mengersen (K)

ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology, Brisbane, Qld, Australia.
School of Mathematical Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Qld, Australia.
Institute for Future Environments, Queensland University of Technology, Brisbane, Qld, Australia.

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