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Combining agent-based, trait-based and demographic approaches to model coral-community dynamics
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 det...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473774/ https://www.ncbi.nlm.nih.gov/pubmed/32701058 http://dx.doi.org/10.7554/eLife.55993 |
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author | Carturan, Bruno Sylvain Pither, Jason Maréchal, Jean-Philippe Bradshaw, Corey JA Parrott, Lael |
author_facet | Carturan, Bruno Sylvain Pither, Jason Maréchal, Jean-Philippe Bradshaw, Corey JA Parrott, Lael |
author_sort | Carturan, Bruno Sylvain |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7473774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-74737742020-09-08 Combining agent-based, trait-based and demographic approaches to model coral-community dynamics Carturan, Bruno Sylvain Pither, Jason Maréchal, Jean-Philippe Bradshaw, Corey JA Parrott, Lael eLife Computational and Systems Biology 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. eLife Sciences Publications, Ltd 2020-07-23 /pmc/articles/PMC7473774/ /pubmed/32701058 http://dx.doi.org/10.7554/eLife.55993 Text en © 2020, Carturan et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Carturan, Bruno Sylvain Pither, Jason Maréchal, Jean-Philippe Bradshaw, Corey JA Parrott, Lael Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title | Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title_full | Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title_fullStr | Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title_full_unstemmed | Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title_short | Combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
title_sort | combining agent-based, trait-based and demographic approaches to model coral-community dynamics |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473774/ https://www.ncbi.nlm.nih.gov/pubmed/32701058 http://dx.doi.org/10.7554/eLife.55993 |
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