This project overview describes a 2018 Catalyst project where Rookery Bay Reserve staff and University of South Florida researchers are partnered to update and create maps of mangrove habitat to measure changes over time.

This climate adaptation planning toolkit compiles lessons learned by five National Estuarine Research Reserves. It is designed to help communities set goals and identify specific indicators to evaluate progress toward a climate resilient future.

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.

The Native Olympia Oyster Collaborative is a coastwide network from Baja California to British Columbia to conserve and rebuild West coast native oyster populations.

This project overview describes a 2015 Collaborative Research project that tested a new strategy to protect coastal habitats in high-energy environments in Florida.

This article, published in Frontiers in Ecology and the Environment in 2018, synthesizes oyster restoration projects since 1964 on the US Atlantic and Gulf coasts and suggests a restoration paradigm to prioritize investment in sites that maximize economic and ecological benefits and minimize construction costs.

This paper, published in Global Environmental Change, assesses outcomes of co-produced science based on an analysis of National Estuarine Research Reserve System funded projects from 1998 to 2014.

This paper, published in Agricultural and Resource Economics Review, stemmed from work completed as part of the Buffer Options for the Bay project in Great Bay, NH.

The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of st

James Arnott's dissertation contributes new, more extensive empirical data and analysis about the drivers and mechanisms of co-production with the aim to better understand how to accelerate the development of actionable sustainability science.