Simplified Marsh Response Model (SMRM): A Methodological Approach to Quantify the Evolution of Salt Marshes in a Sea-Level Rise Context

UDC.coleccionInvestigaciónes_ES
UDC.departamentoBioloxíaes_ES
UDC.grupoInvBioloxía Costeira (BIOCOST)es_ES
UDC.issue14es_ES
UDC.journalTitleRemote Sensinges_ES
UDC.startPage3400es_ES
UDC.volume14es_ES
dc.contributor.authorInácio, Miguel
dc.contributor.authorFreitas, Maria da Conceição Pombo de
dc.contributor.authorGraça Cunha, Ana
dc.contributor.authorAntunes, C.
dc.contributor.authorLeira, Manel
dc.contributor.authorLopes, Vera
dc.contributor.authorAndrade, C.
dc.contributor.authorSilva, Tiago Adrião
dc.date.accessioned2022-09-29T09:45:11Z
dc.date.available2022-09-29T09:45:11Z
dc.date.issued2022-07-15
dc.description.abstract[Abstract] Salt marshes are highly valued coastal environments for different services: coastline protection, biodiversity, and blue carbon. They are vulnerable to climate changes, particularly to sea-level rise. For this reason, it is essential to project the evolution of marsh areas until the end of the century. This work presents a reduced complexity model to quantify salt marshes’ evolution in a sea-level rise (SLR) context through combining field and remote sensing data: SMRM (Simplified Marsh Response Model). SMRM is a two-dimensional rule-based model that requires four parameters: a digital terrain model (DTM), local tidal levels, a sea-level rise projection, and accretion rates. A MATLAB script completes the process, and the output is a GeoTIFF file. Two test areas were selected in Tróia sandspit (Setúbal, Portugal). Additionally, a sensitivity analysis for each parameter’s influence and a comparison with SLAMM (another rule-based model) were undertaken. The sensitivity analysis indicates that SLR is the most relevant parameter, followed by accretion rates. The comparison of SMRM with SLAMM shows quite similar results for both models. This new model application indicates that the studied salt marshes could be resilient to conservative sea-level rise scenarios but not to more severe sea-level rise projections.es_ES
dc.description.sponsorshipThis work was funded by the Portuguese Fundação para a Ciência e a Tecnologia (FCT) I.P./MCTES through national funds (PIDDAC)—UIDB/50019/2020, PTDC/CTA-GEO/28412/2017 (CLIMARES) and Ph.D. Grants PD/BD/142781/2018 and PD/BD/106074/2015es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; UIDB/50019/2020es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PTDC/CTA-GEO/28412/2017es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PD/BD/142781/2018es_ES
dc.description.sponsorshipPortugal. Fundação para a Ciência e a Tecnologia; PD/BD/106074/2015es_ES
dc.identifier.citationInácio, M.; Freitas, M.C.; Cunha, A.G.; Antunes, C.; Leira, M.; Lopes, V.; Andrade, C.; Silva, T.A. Simplified Marsh Response Model (SMRM): A Methodological Approach to Quantify the Evolution of Salt Marshes in a Sea-Level Rise Context. Remote Sens. 2022, 14, 3400. https://doi.org/10.3390/rs14143400es_ES
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/2183/31744
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://doi.org/10.3390/rs14143400es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectAccretion rateses_ES
dc.subjectReduced-complexity modelses_ES
dc.subjectRemote sensing applicationes_ES
dc.subjectGISes_ES
dc.titleSimplified Marsh Response Model (SMRM): A Methodological Approach to Quantify the Evolution of Salt Marshes in a Sea-Level Rise Contextes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationee963469-197e-46ef-a5f5-fee75f9640ef
relation.isAuthorOfPublication.latestForDiscoveryee963469-197e-46ef-a5f5-fee75f9640ef

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