This white paper, developed by a 2020 catalyst project, provides an overview of expanding and deepening the application of cultural ecosystem services in the National Estuarine Reserve System.

This report summarizes five cultural ecosystem service assessment methods piloted by the 2020 catalyst project, Cultural Ecosystem Services in Estuary Stewardship and Management.

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

This dataset comprises the data collected and produced as part of the 2016 research project Investigating the Interconnectedness of Climate Change, Nuisance Mosquitoes, and Resilience of Coastal Salt Marsh Systems.

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 dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.

This guidance report from New York State ’s Department of Environmental Conservation and Department of State provides an overview of natural resilience measures and how they can reduce risk of flooding and erosion.

These datasets and statistical analysis codes model surge barrier effects on the Hudson River estuary, developed as part of the 2018 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.