These slides summarize a webinar given by Danielle Boudreau and Syverine Bentz on December 20, 2017, on how they used scenario planning to overcome uncertainty around barriers to climate adaptation in southcentral Alaska.

This 2017 article appeared in the journal Ecology, and presents findings from a study assessing the individual and synergistic effects of air temperature and salinity on Olympia oyster mortality across temporal patterns that accurately reflect the natural environment.

This 2016 journal article was published in Proceedings of the Royal Society B. The study highlights how extreme precipitation events in 2011 may have contributed to near 100% mass mortality of wild oysters in northern San Francisco Bay.

This journal article was published in Estuaries and Coasts in 2016, and decribes a study of how seasonal changes in temperature and salinity impact larval Olympia oyster recruitment across a range of sites and time intervals.

This project overview describes a 2010 Collaborative Research project in which a team led by South Slough Reserve developed a science-based plan to restore Olympia oysters to Oregon's coast.

The University of Michigan (U-M) Water Center is pleased to announce the outcome of this year ’s competition for research and integrated assessment projects under NOAA ’s National Estuarine Research Reserve System (NERRS) Science Collaborative.

As part of the 2010 Hudson River Sustainable Shorelines project, the project team conducted this forensic analysis of six sites on the Hudson River to study how each site responded to severe storms.

This tool, developed for the 2011 Hudson River Sustainable Shorelines project, can be used to provide a rough quantification of site attributes known to affect biota and ecological processes in the shore zone.

This model was developed by the Hudson River Sustainable Shorelines project team and can be used to understand the energy regimes impacting shorelines and to help identify suitable shoreline stabilization alternatives for sites along the Hudson River.

This dataset is a compilation of observed ice data statistics from United States Coast Guard daily ice reports along the tidal Hudson River during ice season and it includes linked aerial photographs as well as complete record data charts for river stretches and choke points.