Analysis, synthesis and modelling of high-resolution observations of salt-marsh eco-geomorphological patterns in the Venice lagoon

Stratigraphy, pollen history and geochronology of tidal marshes in a Gulf of Maine estuarine system: Climatic and relative sea level impacts

“…In addition, a range of environmental settings must be studied to evaluate regional variations in depositional environments (Torres et al, 2006). Ultimately, the integration of these studies will lead to the development of new and more refined predictive numeric models of basic processes such as tidal marsh formation and composition, tidal channel evolution, marsh hydrology, or marsh surface elevation change (Allen, 1990(Allen, , 1995Callaway et al, 1996;Rybczyk and Cahoon, 2002;D'Alpaos et al, 2006;Gardner and Wilson, 2006;Marani et al, 2006).…”

The mutual influence of biotic and abiotic components on the long-term ecomorphodynamic evolution of salt-marsh ecosystems

“…The capability of existing models to provide a comprehensive and predictive theory of salt-marsh ecomorphodynamic evolution is, however, challenged by the incomplete understanding of the many linkages between the relevant ecological and geomorphological processes. Modelling the coupled eco-geomorphic dynamics of such systems is further complicated by the processes shaping the biological and geomorphological characters of a salt marsh, that occur over a wide range of spatial scales, from a few centimeters to several kilometers (Fagherazzi et al, 1999;Feola et al, 2005;Marani et al, 2006b). The eco-geomorphological modelling of intertidal areas is generally agreed to be in its infancy, thus, deserving further research efforts (e.g.…”

HESS Opinions: Hydrologic predictions in a changing environment: behavioral modeling

“…Because a model of hydrologic change must account for structure forming and life sustaining processes in the landscape, one would normally expect them to be more complex and multi-dimensional than traditional hydrological models. The use of organizing principles, however, contributes to model parsimony: as Marani et al (2006a) state in the context of developing a coupled, predictive model of vegetation and geomorphology for tidal ecosystems, the key is the "identification of simplified formulations of the relevant biophysical interactions, yet retaining their essential dynamics". The organizing principle, in turn, would have been previously identified based on theory and data.…”