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A robust operational model for predicting where tropical cyclone waves damage coral reefs

Tropical cyclone (TC) waves can severely damage coral reefs. Models that predict where to find such damage (the ‘damage zone’) enable reef managers to: 1) target management responses after major TCs in near-real time to promote recovery at severely damaged sites; and 2) identify spatial patterns in...

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Autores principales: Puotinen, Marji, Maynard, Jeffrey A., Beeden, Roger, Radford, Ben, Williams, Gareth J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868967/
https://www.ncbi.nlm.nih.gov/pubmed/27184607
http://dx.doi.org/10.1038/srep26009
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author Puotinen, Marji
Maynard, Jeffrey A.
Beeden, Roger
Radford, Ben
Williams, Gareth J.
author_facet Puotinen, Marji
Maynard, Jeffrey A.
Beeden, Roger
Radford, Ben
Williams, Gareth J.
author_sort Puotinen, Marji
collection PubMed
description Tropical cyclone (TC) waves can severely damage coral reefs. Models that predict where to find such damage (the ‘damage zone’) enable reef managers to: 1) target management responses after major TCs in near-real time to promote recovery at severely damaged sites; and 2) identify spatial patterns in historic TC exposure to explain habitat condition trajectories. For damage models to meet these needs, they must be valid for TCs of varying intensity, circulation size and duration. Here, we map damage zones for 46 TCs that crossed Australia’s Great Barrier Reef from 1985–2015 using three models – including one we develop which extends the capability of the others. We ground truth model performance with field data of wave damage from seven TCs of varying characteristics. The model we develop (4MW) out-performed the other models at capturing all incidences of known damage. The next best performing model (AHF) both under-predicted and over-predicted damage for TCs of various types. 4MW and AHF produce strikingly different spatial and temporal patterns of damage potential when used to reconstruct past TCs from 1985–2015. The 4MW model greatly enhances both of the main capabilities TC damage models provide to managers, and is useful wherever TCs and coral reefs co-occur.
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spelling pubmed-48689672016-05-31 A robust operational model for predicting where tropical cyclone waves damage coral reefs Puotinen, Marji Maynard, Jeffrey A. Beeden, Roger Radford, Ben Williams, Gareth J. Sci Rep Article Tropical cyclone (TC) waves can severely damage coral reefs. Models that predict where to find such damage (the ‘damage zone’) enable reef managers to: 1) target management responses after major TCs in near-real time to promote recovery at severely damaged sites; and 2) identify spatial patterns in historic TC exposure to explain habitat condition trajectories. For damage models to meet these needs, they must be valid for TCs of varying intensity, circulation size and duration. Here, we map damage zones for 46 TCs that crossed Australia’s Great Barrier Reef from 1985–2015 using three models – including one we develop which extends the capability of the others. We ground truth model performance with field data of wave damage from seven TCs of varying characteristics. The model we develop (4MW) out-performed the other models at capturing all incidences of known damage. The next best performing model (AHF) both under-predicted and over-predicted damage for TCs of various types. 4MW and AHF produce strikingly different spatial and temporal patterns of damage potential when used to reconstruct past TCs from 1985–2015. The 4MW model greatly enhances both of the main capabilities TC damage models provide to managers, and is useful wherever TCs and coral reefs co-occur. Nature Publishing Group 2016-05-17 /pmc/articles/PMC4868967/ /pubmed/27184607 http://dx.doi.org/10.1038/srep26009 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Puotinen, Marji
Maynard, Jeffrey A.
Beeden, Roger
Radford, Ben
Williams, Gareth J.
A robust operational model for predicting where tropical cyclone waves damage coral reefs
title A robust operational model for predicting where tropical cyclone waves damage coral reefs
title_full A robust operational model for predicting where tropical cyclone waves damage coral reefs
title_fullStr A robust operational model for predicting where tropical cyclone waves damage coral reefs
title_full_unstemmed A robust operational model for predicting where tropical cyclone waves damage coral reefs
title_short A robust operational model for predicting where tropical cyclone waves damage coral reefs
title_sort robust operational model for predicting where tropical cyclone waves damage coral reefs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868967/
https://www.ncbi.nlm.nih.gov/pubmed/27184607
http://dx.doi.org/10.1038/srep26009
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