2022
DOI: 10.3390/rs14143400
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Simplified Marsh Response Model (SMRM): A Methodological Approach to Quantify the Evolution of Salt Marshes in a Sea-Level Rise Context

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 i… Show more

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Cited by 3 publications
(2 citation statements)
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“…Inácio et al [12] present a reduced-complexity model to predict the evolution of salt marshes in the context of sea-level rise. The SMRM (simplified marsh response model) combines field and remote sensing data and requires four parameters to generate outputs.…”
Section: Contributions To the Special Issuementioning
confidence: 99%
“…Inácio et al [12] present a reduced-complexity model to predict the evolution of salt marshes in the context of sea-level rise. The SMRM (simplified marsh response model) combines field and remote sensing data and requires four parameters to generate outputs.…”
Section: Contributions To the Special Issuementioning
confidence: 99%
“…PQR has some working base which has direct boundaries with river and sea since most of PQR wells are located at swamp and offshore area thus, they are completed with jetty. Working base with direct boundaries with river categorized as swamp working area and the one with the sea categorized as offshore working area (Inácio et al, 2022;Kocik et al, 2022). The seafaring line that headed to the swamp working base jetty are not routinely be dredged because there are no big ships activities that required too deep riverbed and the sedimentation is not as significant as it is at offshore (Gearhart, 2020;Lubchenco & Haugan, 2023).…”
Section: Introductionmentioning
confidence: 99%