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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-4868967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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