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

Tidal marshes rank among Earth’s vulnerable ecosystems, which will retreat if future rates of relative sea-level rise (RSLR) exceed marshes’ ability to accrete vertically. Here, we assess the limits to marsh vulnerability by analyzing >780 Holocene reconstructions of tidal marsh evolution in Grea...

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Main Authors: Horton, Benjamin Peter, Shennan, Ian, Bradley, Sarah L., Cahill, Niamh, Kirwan, Matthew, Kopp, Robert E., Shaw, Timothy Adam
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88399
http://hdl.handle.net/10220/45758
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-883992023-10-18T05:18:08Z Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data Horton, Benjamin Peter Shennan, Ian Bradley, Sarah L. Cahill, Niamh Kirwan, Matthew Kopp, Robert E. Shaw, Timothy Adam Asian School of the Environment Earth Observatory of Singapore Sea Level Rise DRNTU::Science::Geology Holocene Tidal marshes rank among Earth’s vulnerable ecosystems, which will retreat if future rates of relative sea-level rise (RSLR) exceed marshes’ ability to accrete vertically. Here, we assess the limits to marsh vulnerability by analyzing >780 Holocene reconstructions of tidal marsh evolution in Great Britain. These reconstructions include both transgressive (tidal marsh retreat) and regressive (tidal marsh expansion) contacts. The probability of a marsh retreat was conditional upon Holocene rates of RSLR, which varied between −7.7 and 15.2 mm/yr. Holocene records indicate that marshes are nine times more likely to retreat than expand when RSLR rates are ≥7.1 mm/yr. Coupling estimated probabilities of marsh retreat with projections of future RSLR suggests a major risk of tidal marsh loss in the twenty-first century. All of Great Britain has a >80% probability of a marsh retreat under Representative Concentration Pathway (RCP) 8.5 by 2100, with areas of southern and eastern England achieving this probability by 2040. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2018-08-30T05:02:08Z 2019-12-06T17:02:26Z 2018-08-30T05:02:08Z 2019-12-06T17:02:26Z 2018 Journal Article Horton, B. P., Shennan, I., Bradley, S. L., Cahill, N., Kirwan, M., Kopp, R. E., & Shaw, T. A. (2018). Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data. Nature Communications, 9, 2687-. doi:10.1038/s41467-018-05080-0 https://hdl.handle.net/10356/88399 http://hdl.handle.net/10220/45758 10.1038/s41467-018-05080-0 en Nature Communications © 2018 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Sea Level Rise
DRNTU::Science::Geology
Holocene
spellingShingle Sea Level Rise
DRNTU::Science::Geology
Holocene
Horton, Benjamin Peter
Shennan, Ian
Bradley, Sarah L.
Cahill, Niamh
Kirwan, Matthew
Kopp, Robert E.
Shaw, Timothy Adam
Predicting marsh vulnerability to sea-level rise using Holocene relative sea-level data
description Tidal marshes rank among Earth’s vulnerable ecosystems, which will retreat if future rates of relative sea-level rise (RSLR) exceed marshes’ ability to accrete vertically. Here, we assess the limits to marsh vulnerability by analyzing >780 Holocene reconstructions of tidal marsh evolution in Great Britain. These reconstructions include both transgressive (tidal marsh retreat) and regressive (tidal marsh expansion) contacts. The probability of a marsh retreat was conditional upon Holocene rates of RSLR, which varied between −7.7 and 15.2 mm/yr. Holocene records indicate that marshes are nine times more likely to retreat than expand when RSLR rates are ≥7.1 mm/yr. Coupling estimated probabilities of marsh retreat with projections of future RSLR suggests a major risk of tidal marsh loss in the twenty-first century. All of Great Britain has a >80% probability of a marsh retreat under Representative Concentration Pathway (RCP) 8.5 by 2100, with areas of southern and eastern England achieving this probability by 2040.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Horton, Benjamin Peter
Shennan, Ian
Bradley, Sarah L.
Cahill, Niamh
Kirwan, Matthew
Kopp, Robert E.
Shaw, Timothy Adam
format Article
author Horton, Benjamin Peter
Shennan, Ian
Bradley, Sarah L.
Cahill, Niamh
Kirwan, Matthew
Kopp, Robert E.
Shaw, Timothy Adam
author_sort Horton, Benjamin Peter
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
publishDate 2018
url https://hdl.handle.net/10356/88399
http://hdl.handle.net/10220/45758
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