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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This article, published in Stormwater Magazine in September 2020, describes how an expert panel process helped develop performance curves to assign regulatory credit for restored or constructed buffers as water quality best management practices.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the October 2020 webinar Decision Support for Siting of Shellfish Aquaculture.
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This journal article summarizes results from an experimental living shoreline installation at GTM Reserve in northeast Florida and reveals who how well the installations dampened boat wakes.
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This article published in Ecological Engineering summarizes findings from a project that installed a series of experimental living shorelines on a particularly high energy shoreline in GTM Reserve, Florida.
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This resource contains the webinar recording as well as the presenter slides and Q&A responses from the September 2020 webinar Dams and Sediment in the Hudson.
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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.
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This article, which appeared in Global Change Biology, discusses findings from a study that quantified total ecosystem carbon stocks of major tidal wetland types in the Pacific Northwest.
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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.
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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.