A peer-reviewed article describing the potential link between water temperature variability and eelgrass loss in the Coos Estuary of southwest Oregon.

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. 

Northeastern Florida and the Guana Tolomato Matanzas NERR have some of the most intact estuarine ecosystems in the southeastern United States; however, some areas are expected to need targeted management to stabilize land, protect habitat, and maintain surface elevation relative to sea level rise

The ability to quickly communicate local environmental changes in the aftermath of hurricanes helps impacted communities better understand storm events and support recovery.

Monitoring plays a central role in detecting climate and anthropogenic stressors and associated changes in wetlands. There is a need for wetland monitoring programs to bridge the gap between ground-based surveys, which can miss important spatial heterogeneity and cause wetland disturbance, a

With funding from the NERRS Science Collaborative, scientists from 12 biogeographically diverse Reserves compared fluorescence measurements taken by the YSI EXO TAL sensor to extracted chlorophyll concentrations processed in the lab.

Standardized protocols for sensor-based chlorophyll monitoring are now available for use by staff around the system to implement high frequency chlorophyll monitoring at their reserves.

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.