This webpage provides a summary of and resources related to an October 2018 workshop at the GTM NERR in northeastern Florida, including all presentation slides.

This manual was developed as part of the Hudson River Sustainable Shorelines Project and describes simple, low-cost, representative methods for evaluating the function and integrity of ecologically enhanced shoreline projects.

This project overview describes a 2010 Collaborative Research project that investigated nitrogen hotspots in New Hampshire's Great Bay.

These slides summarize a webinar given by Cory Riley of the Great Bay Reserve on March 27, 2018 about her 2015 Integrated Assessment on vegetated buffer use in New Hampshire.

A suite of information and decision-support tools for landowners, communities, and policymakers interested in leveraging the benefits of buffers is now available thanks to a two-year effort to collect and integrate information about buffer protection and management.

This graphic was developed as part of a research project in Cape Cod exploring how much nitrogen is removed from coastal waters by common oyster aquaculture methods, and what culturing practices should be adopted to maximize benefits for water quality.

This thesis, written as part of a 2016 Collaborative Research project, describes a quantitative microbial assessment of stormwater in Beaufort, North Carolina.

This model is a power-law based model developed by using data for four different wetlands in Waquoit Bay and Great Pond estuaries, MA. It was developed as part of a 2011 Collaborative Research project, "Bringing Wetlands to Market in Massachusetts."

This document helps guide coastal and land managers in understanding the ways by which coastal blue carbon can help achieve coastal management goals.

This Plan is intended to serve as a guide for the towns of Exeter, Stratham and Newfields to support nitrogen load reduction, permit compliance, and ultimately ecosystem recovery in the Great Bay estuary which could fulfill permit requirements for a Nitrogen Control Plan.