Temporal clustering of tropical cyclones and its ecosystem impacts

Tropical cyclones have massive economic, social, and ecological impacts, and models of their occurrence influence many planning activities from setting insurance premiums to conservation planning. Most impact models allow for geographically varying cyclone rates but assume that individual storm even...

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Published in:Proceedings of the National Academy of Sciences
Main Authors: Mumby, Peter J., Vitolo, Renato, Stephenson, David B.
Format: Text
Language:English
Published: National Academy of Sciences 2011
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203801
http://www.ncbi.nlm.nih.gov/pubmed/22006300
https://doi.org/10.1073/pnas.1100436108
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spelling ftpubmed:oai:pubmedcentral.nih.gov:3203801 2023-05-15T17:33:48+02:00 Temporal clustering of tropical cyclones and its ecosystem impacts Mumby, Peter J. Vitolo, Renato Stephenson, David B. 2011-10-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203801 http://www.ncbi.nlm.nih.gov/pubmed/22006300 https://doi.org/10.1073/pnas.1100436108 en eng National Academy of Sciences http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203801 http://www.ncbi.nlm.nih.gov/pubmed/22006300 http://dx.doi.org/10.1073/pnas.1100436108 Freely available online through the PNAS open access option. Physical Sciences Text 2011 ftpubmed https://doi.org/10.1073/pnas.1100436108 2013-09-03T21:48:58Z Tropical cyclones have massive economic, social, and ecological impacts, and models of their occurrence influence many planning activities from setting insurance premiums to conservation planning. Most impact models allow for geographically varying cyclone rates but assume that individual storm events occur randomly with constant rate in time. This study analyzes the statistical properties of Atlantic tropical cyclones and shows that local cyclone counts vary in time, with periods of elevated activity followed by relative quiescence. Such temporal clustering is particularly strong in the Caribbean Sea, along the coasts of Belize, Honduras, Costa Rica, Jamaica, the southwest of Haiti, and in the main hurricane development region in the North Atlantic between Africa and the Caribbean. Failing to recognize this natural nonstationarity in cyclone rates can give inaccurate impact predictions. We demonstrate this by exploring cyclone impacts on coral reefs. For a given cyclone rate, we find that clustered events have a less detrimental impact than independent random events. Predictions using a standard random hurricane model were overly pessimistic, predicting reef degradation more than a decade earlier than that expected under clustered disturbance. The presence of clustering allows coral reefs more time to recover to healthier states, but the impacts of clustering will vary from one ecosystem to another. Text North Atlantic PubMed Central (PMC) Proceedings of the National Academy of Sciences 108 43 17626 17630
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Physical Sciences
spellingShingle Physical Sciences
Mumby, Peter J.
Vitolo, Renato
Stephenson, David B.
Temporal clustering of tropical cyclones and its ecosystem impacts
topic_facet Physical Sciences
description Tropical cyclones have massive economic, social, and ecological impacts, and models of their occurrence influence many planning activities from setting insurance premiums to conservation planning. Most impact models allow for geographically varying cyclone rates but assume that individual storm events occur randomly with constant rate in time. This study analyzes the statistical properties of Atlantic tropical cyclones and shows that local cyclone counts vary in time, with periods of elevated activity followed by relative quiescence. Such temporal clustering is particularly strong in the Caribbean Sea, along the coasts of Belize, Honduras, Costa Rica, Jamaica, the southwest of Haiti, and in the main hurricane development region in the North Atlantic between Africa and the Caribbean. Failing to recognize this natural nonstationarity in cyclone rates can give inaccurate impact predictions. We demonstrate this by exploring cyclone impacts on coral reefs. For a given cyclone rate, we find that clustered events have a less detrimental impact than independent random events. Predictions using a standard random hurricane model were overly pessimistic, predicting reef degradation more than a decade earlier than that expected under clustered disturbance. The presence of clustering allows coral reefs more time to recover to healthier states, but the impacts of clustering will vary from one ecosystem to another.
format Text
author Mumby, Peter J.
Vitolo, Renato
Stephenson, David B.
author_facet Mumby, Peter J.
Vitolo, Renato
Stephenson, David B.
author_sort Mumby, Peter J.
title Temporal clustering of tropical cyclones and its ecosystem impacts
title_short Temporal clustering of tropical cyclones and its ecosystem impacts
title_full Temporal clustering of tropical cyclones and its ecosystem impacts
title_fullStr Temporal clustering of tropical cyclones and its ecosystem impacts
title_full_unstemmed Temporal clustering of tropical cyclones and its ecosystem impacts
title_sort temporal clustering of tropical cyclones and its ecosystem impacts
publisher National Academy of Sciences
publishDate 2011
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203801
http://www.ncbi.nlm.nih.gov/pubmed/22006300
https://doi.org/10.1073/pnas.1100436108
genre North Atlantic
genre_facet North Atlantic
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203801
http://www.ncbi.nlm.nih.gov/pubmed/22006300
http://dx.doi.org/10.1073/pnas.1100436108
op_rights Freely available online through the PNAS open access option.
op_doi https://doi.org/10.1073/pnas.1100436108
container_title Proceedings of the National Academy of Sciences
container_volume 108
container_issue 43
container_start_page 17626
op_container_end_page 17630
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