Recommendations for the NERRS SWMP, summarizing outputs in an archivable format deemed useful by end users (NERRS research staff).

Research staff from 12 reserves assessed sensor performance by comparing field and laboratory sensor measurements to concentrations of chlorophyll extracted from water samples.

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 data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.

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.