Project Lead Nikki Dix (Guana Tolomato Matanzas National Estuarine Research Reserve) gives a 5-minute introduction to "Refining Techniques for High-frequency Monitoring of Chlorophyll Alpha in the NERRS," a catalyst project funded in 2020 by the NERRS Science Collaborative.

GUIDE CASE STUDY: During the second year of their project, a team based at the Wells Research Reserve suffered the tragic loss of the lead science investigator. This individual had served as the Reserve's research coordinator for many years and possessed a deep reservoir of scientific knowledge about the local ecosystems on which the project was focused. In addition to the intense emotional impact, the loss of a respected researcher and team member posed a significant challenge to the project.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2022 webinar "Refining Techniques for High-Frequency Monitoring of Chlorophyll."

This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.

This tool provides an overview of acoustic monitoring in aquatic ecosystems, including sources of sound, metrics for measurement, data collection and analysis, and applications for habitat assessment, stewardship, and education.

This factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2021 webinar Margaret A. Davidson Graduate Fellowship: A Collaborative Graduate Fellowship to Address Coastal Challenges.

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.