This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

This outreach tool summarizes the key takeways for a project that assessed the value of a coastal marsh in protecting coastal communities from storm surge and flooding amid a changing climate.

This article, published in Scientific Reports in 2021, describes work done as part of a 2016-2020 collaborative research project conducted at Hudson River Reserve in New York. The article describes a regression model that can be used for wetland restoration planning to help reduce storm-related structural damage.

This article, published in Estuaries and Coasts in 2021, estimates sediment impounded behind dams, compares this with new estimates of watershed sediment yield, and assesses the potential fate for dam sediment released into the estuary.

Slides and a video recording are available from a final stakholder meeting for a study that examined the buffering capacity of a shoreline marsh along Hudson River estuary.

This open-access article, published Geophysical Research Letters in 2020, uses turbidity observations to characterize estuary response following extreme discharge such as from storm-related flooding, which can be a proxy for sediment release from dam removals.

This article, submitted for publication to Earth Surface Processes and Landforms in 2020, describes findings from the Dams and Sediment in the Hudson (DaSH) project related to tidal wetland growth in the Hudson River estuary as a result of human activities. It presents sediment accumulation rates in marshes along the Hudson and reveals the rapid growth of marshes associated with anthropogenic structures.

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.