Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data

Quantifying the vulnerability of tidal marsh ecosystems to relative sea-level rise (RSLR) is essential if the threat is to be mitigated. Here, the authors analyze the response of Great Britain’s tidal marshes to RSLR during the Holocene and predict an almost inevitable loss of this ecosystem by 2100...

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Autores principales:	Benjamin P. Horton, Ian Shennan, Sarah L. Bradley, Niamh Cahill, Matthew Kirwan, Robert E. Kopp, Timothy A. Shaw
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a98b5f7b7cb84a9784291a755ae4b625
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spelling	oai:doaj.org-article:a98b5f7b7cb84a9784291a755ae4b6252021-12-02T17:33:17ZPredicting marsh vulnerability to sea-level rise using Holocene relative sea-level data10.1038/s41467-018-05080-02041-1723https://doaj.org/article/a98b5f7b7cb84a9784291a755ae4b6252018-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05080-0https://doaj.org/toc/2041-1723Quantifying the vulnerability of tidal marsh ecosystems to relative sea-level rise (RSLR) is essential if the threat is to be mitigated. Here, the authors analyze the response of Great Britain’s tidal marshes to RSLR during the Holocene and predict an almost inevitable loss of this ecosystem by 2100 under rapid RSLR scenarios.Benjamin P. HortonIan ShennanSarah L. BradleyNiamh CahillMatthew KirwanRobert E. KoppTimothy A. ShawNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Benjamin P. Horton Ian Shennan Sarah L. Bradley Niamh Cahill Matthew Kirwan Robert E. Kopp Timothy A. Shaw Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
description	Quantifying the vulnerability of tidal marsh ecosystems to relative sea-level rise (RSLR) is essential if the threat is to be mitigated. Here, the authors analyze the response of Great Britain’s tidal marshes to RSLR during the Holocene and predict an almost inevitable loss of this ecosystem by 2100 under rapid RSLR scenarios.
format	article
author	Benjamin P. Horton Ian Shennan Sarah L. Bradley Niamh Cahill Matthew Kirwan Robert E. Kopp Timothy A. Shaw
author_facet	Benjamin P. Horton Ian Shennan Sarah L. Bradley Niamh Cahill Matthew Kirwan Robert E. Kopp Timothy A. Shaw
author_sort	Benjamin P. Horton
title	Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
title_short	Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
title_full	Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
title_fullStr	Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
title_full_unstemmed	Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
title_sort	predicting marsh vulnerability to sea-level rise using holocene relative sea-level data
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/a98b5f7b7cb84a9784291a755ae4b625
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Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data

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