As climate change and development threaten the natural and cultural resources of the Guana Peninsula, this 2021 collaborative research project used a combination of archaeological investigations and applied anthropological methods to increase understanding of how people

These data encompass the nearshore fish surveys conducted by the Kachemak Bay Reserve as part of a 2020 catalyst project that expanded research collaborations and completed proof of concept activities to catalyze future research on the mechanisms of paralytic shellfish toxin transfer from forage fish to upper trophic populations.

The 2020-2022 catalyst project  Bridging the gap between quadrats and satellites: assessing utility of drone-based imagery to enhance emergent vegetation biomonitoring conducted a regionally coordinated effort, working in salt marshes an

The 2020-2021 catalyst project Refining Techniques for High-Frequency Monitoring of Chlorophyll in the NERRS brought together twelve biogeochemically diverse reserves to compare results from new YSI in situ sensor technology with ex

This project overview describes a 2018 Catalyst project that conducted a collaborative, scientific modeling investigation to improve oyster population sustainability and management on Florida's Atlantic coast.

This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

This project overview describes a 2018 Catalyst project that created the web-based toolkit Resilience Metrics to share lessons learned on successful climate adaptation planning within the National Estuarine Research Reserve System.

This project overview describes a 2017 Science Transfer project in which the southeastern National Estuarine Research Reserves created a region-wide, student-driven program for teachers to further understanding of estuary restoration.

This project overview describes a 2017 Collaborative Research project where Kachemak Bay Reserve staff and local partners are developing a conceptual model and geospatial layer that can be used to predict specific locations where groundwater discharge and recharge occur.