This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the July 2022 webinar "Listen In: Acoustic Monitoring of Estuarine Communities Facing Ecosystem Change."

A multi-Reserve study explored the feasibility of including high frequency, in situ chlorophyll a monitoring in the National Estuarine Research Reserve System-wide Monitoring Program (NERR SWMP).

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2022 webinar "Drone the SWMP: Assessing the Utility of Drones for Monitoring Coastal Wetlands."

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 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 factsheet describes the process of environmental DNA (eDNA) water sampling in estuarine systems, and provides specific methdology recommendations to facilitate detection of invasive species.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the July 2020 webinar Innovative Approaches to Integrating Research and K-12 Education to Advance Estuary Stewardship.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2019 webinar Leveraging NERRS System-Wide Monitoring Program Data for Wetland Research and Management.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the July 2019 webinar Mapping the Effects of Long-term Hydrologic Stress, Sea-level Rise, and Hurricane Irma on Coastal Habitats.

These slides summarize a webinar given by Thomas Grothues of the Jacques Cousteau Reserve on September 19, 2018 about methods for analyzing trends in SWMP temperature with missing data.