Thin-layer sediment placement (TLP) is a promising management tool for enhancing tidal marsh resilience to rising seas.

These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.

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 advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.

This story map and K-12 activity invites students to explore coastal marsh vulnerability to sea level rise and a collaborative experiment to enhance marsh resilience at the Chesapeake Bay National Estuarine Research Reserve in Virginia.

These multimedia outreach and communication tools were developed by the Kachemak Bay National Estuarine Research Reserve and its partners in support of a project to advance peatland blue carbon projects in the Kenai Lowlands, Alaska.

This stakeholder engagement plan outlines an approach to strengthen stakeholder networks and advance blue carbon conversations in the Kenai Lowlands, Alaska.

This document provides guidance on the use of thin-layer sediment placement (TLP) as a tool for tidal marsh resilience in the face of sea-level rise.

This summary brochure describes thin-layer placement (TLP) as a strategy for marsh resilience, and National Estuarine Research Reserve System research and recommendations for TLP use.

This paper, published in International Journal of Applied Earth Observation and Geoinformation, describes results of three different mangrove mapping methods to evaluate the impacts of Hurricane Irma, a Category 3 storm that affected southwest Florida in September of 2017. The approach was tested on a very high resolution WorldView-2 satellite image.