A peer-reviewed article describing several of the biosensor tools and the design process used to build them, as part of the 2021 Collaborative Research project incorporating bivalve biosensors into estuary monitoring infrastructure. 

Project Lead Samantha Chapman (Villanova University) gives a 5-minute introduction to "Experimenting with Elevation: Building a New Collaboration to Explore Management Options for Wetland Elevation Maintenance," a catalyst project funded in 2020 by the NERRS Science Collaborative.

Poster: Drones can revolutionize research and monitoring…can’t they? (NERRS/NERRA Annual Meeting 2020)

Project Lead Brandon Puckett (North Carolina National Estuarine Research Reserve) gives an introduction to "Bridging the Gap between Quadrats and Satellites: Assessing Utility of Drone-based Imagery to Enhance Emergent Vegetation Biomonitoring," aka "Drone the SWMP," a catalyst project funded in

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.

This instructional and informational webinar features background information on the 2020 science transfer Storm Stories project, how end-user feedback was incorporated, the tools and products that have been developed through the project, and how reserves can access resources.

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 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 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.