Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
Displaying 1 - 10 of 16See Keywords and Reserves
The ability to quickly communicate local environmental changes in the aftermath of hurricanes helps impacted communities better understand storm events and support recovery.
See Keywords and Reserves
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
See Keywords and Reserves
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.
See Keywords and Reserves
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.
See Keywords and Reserves
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.
See Keywords and Reserves
This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.
See Keywords and Reserves
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.
See Keywords and Reserves
A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.