2012
DOI: 10.1029/2012gl051953
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Signatures of sea level changes on tidal geomorphology: Experiments on network incision and retreat

Abstract: [1] How do tidal networks respond to changes in relative mean sea level (RMSL)? The question on whether the morphological features of a tidal landscape retain signatures of past environmental forcings, or are in equilibrium with current ones, is critical to our prediction of the fate of residual tidal landforms. In the case of tidal networks, the issue is quite relevant owing to their fundamental role on landscape eco-morphodynamic evolution. Here we explore the response of tidal networks to cyclic variations … Show more

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Cited by 54 publications
(77 citation statements)
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“…10). Initially, the tidal prism adapts to the morphological evolutions more rapidly than the drainage density does and then the two quantities vary with similar temporal scales, as also found by Stefanon et al (2012). Both the evolution of drainage density and the tidal prism displays asymptotic behaviour (Fig.…”
Section: Drainage Densitysupporting
confidence: 73%
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“…10). Initially, the tidal prism adapts to the morphological evolutions more rapidly than the drainage density does and then the two quantities vary with similar temporal scales, as also found by Stefanon et al (2012). Both the evolution of drainage density and the tidal prism displays asymptotic behaviour (Fig.…”
Section: Drainage Densitysupporting
confidence: 73%
“…Moreover, the data obtained from these experiments (or after proper scaling analyses) can be utilised to benchmark numerical models (Tambroni et al, 2010). Stefanon et al (2010Stefanon et al ( , 2012 successfully reproduced the major features of the evolution of tidal networks in the laboratory, which are comparable to natural systems in terms of both the morphological development and the geomorphic characteristics. Zhou et al (2014) performed a comparative study between these laboratory experiments and numerical simulations at both laboratory and natural scales, exploring the effects of different parameterisations on the long-term morphological evolution of tidal networks.…”
Section: Introductionmentioning
confidence: 95%
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