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.

These tidal wetland carbon stocks and environmental driver data were collected as part of the 2016-2019 collaborative research Pacific Northwest Carbon Stocks and Blue Carbon Database Project.

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.

These sediment and hydrodynamic data were collected as part of the 2016-2020 collaborative research project Improved Understanding of Sediment Dynamics for the Coos Estuary that produced a new bathymetric dataset for Coos Bay and a hydrodynamic model characterizing sediment distribution and circulation in the estuary.

This dataset compiles salt marsh monitoring from four New England NERRs from 2010 to 2018, as part of a catalyst project to sythesize and identify regional trends in salt marsh data in the reserve system.

These datasets contain sediment core samples from dam impoundments on tributaries to the Hudson River and tidal wetland complexes in the Hudson River estuary, collected as part of the 2016-2020 collaborative research project Dams and Sediment on the Hudson (DaSH).

Mangroves and other habitats in Rookery Bay National Estuarine Research Reserve have been changing as a result of chronic stressors and severe hurricanes in recent years.

Degradation of coastal habitats has led to major declines in oyster reefs and coastal wetlands. Coastal restoration efforts are critical to restoring these habitats, but they often include little to no monitoring and evaluation of success.

This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

This geodatabase contains GIS layers that illustrate the distribution of existing wetlands and identify locations where restoration is likely to have the greatest positive environmental impact in Douglas County, WI.