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dc.contributor.authorXie, D
dc.contributor.authorSchwarz, C
dc.contributor.authorKleinhans, MG
dc.contributor.authorZhou, Z
dc.contributor.authorMaanen, B
dc.date.accessioned2022-03-16T15:03:42Z
dc.date.issued2022-02-15
dc.date.updated2022-03-15T18:37:24Z
dc.description.abstractMangrove forests are valuable coastal ecosystems that have been shown to persist on muddy intertidal flats through bio-morphodynamic feedbacks. However, the role of coastal conditions on mangrove behavior remains uncertain. This study conducts numerical experiments to systematically explore the effects of tidal range, small wind waves, sediment supply and coastal slope on mangrove development under sea-level rise (SLR). Our results show that mangroves in micro-tidal conditions are more vulnerable because of the gentler coastal equilibrium slope and the limited ability to capture sediment, which leads to substantial mangrove landward displacement even under slow SLR. Macro-tidal conditions with large sediment supply promote accretion along the profile and platform formation, reducing mangrove vulnerability for slow and medium SLR, but still cause rapid mangrove retreat under fast SLR. Small wind waves promote sediment accretion, and exert an extra bed shear stress that confines the mangrove forest to higher elevations with more favorable inundation regimes, offsetting SLR impacts. These processes also have important implications for the development of new landward habitats under SLR. In particular, our experiments show that landward habitat can be created even with limited sediment supply and thus without complete infilling of the available accommodation space. Nevertheless, new accommodation space may be filled over time with sediment originating from erosion of the lower coastal profile. Consistent with field data, model simulations indicate that sediment accretion within the forest can accelerate under SLR, but the timing and magnitude of accretion depend non-linearly on coastal conditions and distance from the mangrove seaward edge.en_GB
dc.description.sponsorshipChina Scholarship Councilen_GB
dc.description.sponsorshipDepartment of Physical Geography, Utrecht Universityen_GB
dc.description.sponsorshipNWO WOTRO Joint Sustainable Development Goal Research Programen_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.identifier.citationVol. 127 (3), article e2021JF006301en_GB
dc.identifier.doihttps://doi.org/10.1029/2021jf006301
dc.identifier.grantnumber201706710005en_GB
dc.identifier.grantnumberW07.303.106en_GB
dc.identifier.grantnumberERC-CoG 647570en_GB
dc.identifier.grantnumber41976156en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129061
dc.language.isoenen_GB
dc.publisherAmerican Geophysical Union (AGU) / Wileyen_GB
dc.relation.urlhttps://github.com/xiedanghan/MangroveVulnerabilityModelen_GB
dc.rights© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleImplications of Coastal Conditions and Sea‐Level Rise on Mangrove Vulnerability: A Bio‐Morphodynamic Modeling Studyen_GB
dc.typeArticleen_GB
dc.date.available2022-03-16T15:03:42Z
dc.identifier.issn2169-9003
dc.descriptionThis is the final version. Available on open access from the American Geophysical Union via the DOI in this recorden_GB
dc.descriptionData Availability Statement: The field data regarding mangrove seaward edge elevation relative to MWL is summarized from previous publications and is available as supplementary materials (Table S4 in Supporting Information S1).The field data regarding local SLR rates and vertical elevation dynamics is available as supplementary material (Table S5 in Supporting Information S1), summarized from the open-access publication by McKee et al. (2021). Delft3D is an open-source code available online (at https://oss.deltares.nl). The dynamic vegetation code with a representative model setting is available at https://github.com/xiedanghan/MangroveVulnerabilityModel.en_GB
dc.identifier.eissn2169-9011
dc.identifier.journalJournal of Geophysical Research Earth Surfaceen_GB
dc.relation.ispartofJournal of Geophysical Research Earth Surface, 127(3)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-02-10
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-15
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-03-16T15:00:21Z
refterms.versionFCDVoR
refterms.dateFOA2022-03-16T15:10:18Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-02-15


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© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.