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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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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.
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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.
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This case study discusses an example of an Ecosystem Services Conceptual Model for mangrove habitat restoration at Rookery Bay National Estuarine Research Reserve in Florida.
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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.
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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.
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This collection of reports summarizes Surface Elevation Table (SET) data at fiften reserves. A technical report analyzing of surface elevation change and a summary for oureach purposes is provided for each reserve.
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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.
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The Eastern oyster (Crassostrea virginica) is a keystone species in northeast Florida estuaries, but the region faces multiple threats to the long-term viability of oyster populations.
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This GitHub Repository houses the statistical code, a model interface and example datasets to enable others to calcuate the retention capacity of a wetland.