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Global coastal wetland change under sea-level rise and related stresses: the DIVA wetland change model

Global coastal wetland change under sea-level rise and related stresses: the DIVA wetland change model
Global coastal wetland change under sea-level rise and related stresses: the DIVA wetland change model
The Dynamic Interactive Vulnerability Assessment Wetland Change Model (DIVA_WCM) comprises a dataset of contemporary global coastal wetland stocks (estimated at 756 × 103 km2 (in 2011)), mapped to a one-dimensional global database, and a model of the macro-scale controls on wetland response to sea-level rise. Three key drivers of wetland response to sea-level rise are considered: 1) rate of sea-level rise relative to tidal range; 2) lateral accommodation space; and 3) sediment supply. The model is tuned by expert knowledge, parameterised with quantitative data where possible, and validated against mapping associated with two large-scale mangrove and saltmarsh vulnerability studies. It is applied across 12,148 coastal segments (mean length 85 km) to the year 2100. The model provides better-informed macro-scale projections of likely patterns of future coastal wetland losses across a range of sea-level rise scenarios and varying assumptions about the construction of coastal dikes to prevent sea flooding (as dikes limit lateral accommodation space and cause coastal squeeze). With 50 cm of sea-level rise by 2100, the model predicts a loss of 46–59% of global coastal wetland stocks. A global coastal wetland loss of 78% is estimated under high sea-level rise (110 cm by 2100) accompanied by maximum dike construction. The primary driver for high vulnerability of coastal wetlands to sea-level rise is coastal squeeze, a consequence of long-term coastal protection strategies. Under low sea-level rise (29 cm by 2100) losses do not exceed ca. 50% of the total stock, even for the same adverse dike construction assumptions. The model results confirm that the widespread paradigm that wetlands subject to a micro-tidal regime are likely to be more vulnerable to loss than macro-tidal environments. Countering these potential losses will require both climate mitigation (a global response) to minimise sea-level rise and maximisation of accommodation space and sediment supply (a regional response) on low-lying coasts.
tidal wetlands, wetland vulnerability, wetland transitions, wetland loss, accommodation space, sea-level rise
0921-8181
15-30
Spencer, T.
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Schuerch, M.
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Nicholls, R.J.
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Hinkel, J.
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Lincke, D.
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Vafeidis, A.T.
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Reef, R.
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McFadden, L.
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Brown, S.
dd3c5852-78cc-435a-9846-4f3f540f2840
Spencer, T.
2d8afa33-43b1-4253-b6c2-94de274f2ced
Schuerch, M.
50720383-771e-4c49-9fc0-4e678b5abc78
Nicholls, R.J.
4ce1e355-cc5d-4702-8124-820932c57076
Hinkel, J.
ad8c8187-dcca-42f5-84e0-75d30a1e7875
Lincke, D.
de666ddf-b97f-4f22-bec4-6490e42c0623
Vafeidis, A.T.
1822479b-7b92-432e-aab2-7c6f413d72e9
Reef, R.
39337149-063c-4d44-9cfc-21db262d0015
McFadden, L.
82173d21-38e4-484d-959f-8a0d0e404bf2
Brown, S.
dd3c5852-78cc-435a-9846-4f3f540f2840

Spencer, T., Schuerch, M., Nicholls, R.J., Hinkel, J., Lincke, D., Vafeidis, A.T., Reef, R., McFadden, L. and Brown, S. (2016) Global coastal wetland change under sea-level rise and related stresses: the DIVA wetland change model. Global and Planetary Change, 139, 15-30. (doi:10.1016/j.gloplacha.2015.12.018).

Record type: Article

Abstract

The Dynamic Interactive Vulnerability Assessment Wetland Change Model (DIVA_WCM) comprises a dataset of contemporary global coastal wetland stocks (estimated at 756 × 103 km2 (in 2011)), mapped to a one-dimensional global database, and a model of the macro-scale controls on wetland response to sea-level rise. Three key drivers of wetland response to sea-level rise are considered: 1) rate of sea-level rise relative to tidal range; 2) lateral accommodation space; and 3) sediment supply. The model is tuned by expert knowledge, parameterised with quantitative data where possible, and validated against mapping associated with two large-scale mangrove and saltmarsh vulnerability studies. It is applied across 12,148 coastal segments (mean length 85 km) to the year 2100. The model provides better-informed macro-scale projections of likely patterns of future coastal wetland losses across a range of sea-level rise scenarios and varying assumptions about the construction of coastal dikes to prevent sea flooding (as dikes limit lateral accommodation space and cause coastal squeeze). With 50 cm of sea-level rise by 2100, the model predicts a loss of 46–59% of global coastal wetland stocks. A global coastal wetland loss of 78% is estimated under high sea-level rise (110 cm by 2100) accompanied by maximum dike construction. The primary driver for high vulnerability of coastal wetlands to sea-level rise is coastal squeeze, a consequence of long-term coastal protection strategies. Under low sea-level rise (29 cm by 2100) losses do not exceed ca. 50% of the total stock, even for the same adverse dike construction assumptions. The model results confirm that the widespread paradigm that wetlands subject to a micro-tidal regime are likely to be more vulnerable to loss than macro-tidal environments. Countering these potential losses will require both climate mitigation (a global response) to minimise sea-level rise and maximisation of accommodation space and sediment supply (a regional response) on low-lying coasts.

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Spencer_et_al_2016_eprints.docx - Accepted Manuscript
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Accepted/In Press date: 29 December 2015
e-pub ahead of print date: 8 January 2016
Published date: April 2016
Keywords: tidal wetlands, wetland vulnerability, wetland transitions, wetland loss, accommodation space, sea-level rise
Organisations: Energy & Climate Change Group

Identifiers

Local EPrints ID: 389572
URI: http://eprints.soton.ac.uk/id/eprint/389572
ISSN: 0921-8181
PURE UUID: 4ede9755-ae18-41e7-a2cb-975669342b9e
ORCID for R.J. Nicholls: ORCID iD orcid.org/0000-0002-9715-1109
ORCID for S. Brown: ORCID iD orcid.org/0000-0003-1185-1962

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Date deposited: 09 Mar 2016 11:41
Last modified: 15 Mar 2024 03:31

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Contributors

Author: T. Spencer
Author: M. Schuerch
Author: R.J. Nicholls ORCID iD
Author: J. Hinkel
Author: D. Lincke
Author: A.T. Vafeidis
Author: R. Reef
Author: L. McFadden
Author: S. Brown ORCID iD

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