Gated storm surge barriers have been constructed or proposed in many estuaries worldwide for coastal flood risk reduction.

Rising coastal flood risk and recent disasters are driving interest in the construction of gated storm surge barriers worldwide, with current studies recommending barriers for at least 11 estuaries in the United States alone.

The National Estuarine Research Reserve System plays an important socio-ecological role for public engagement, science and management focused on key estuarine habitats.

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 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.

This factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.

This 2021 article which appeared in Ecology and Society describes a research project exploring how alders, peatlands, and groundwater flows were incorporated into a spatial tool that was used in case studies with user groups and in outreach efforts. The paper includes evidence that these efforts to engage with stakeholders are resulting in attitudinal shifts as well as on-the-ground changes in peoples ’ decision-making.

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.