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Resources

Resources

A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.

Displaying 1 - 10 of 13
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This toolkit organizes and consolidates content from a combination of literature reviews, SWMP data interpretation, and interviews and exhibit evaluations at multiple reserves into a comprehensive package of resources that is accessible to all education coordinators and exhibit designers in the Reserve System.
Multimedia |

Multimedia |
About the project

As people from many communities return to the revitalized St.

Multimedia |

The Habitat Heartbeats project was featured during the 2023 virtual symposium showcasing recent scientific studies related to the restoration and health of San Diego estuaries including the Tijuana River Estuary, San Diego Bay, and Los Peñasquitos Lagoon.

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Tool |

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

Multimedia |
Poster presented at the November 2020 NERRS Annual Meeting - Silas Tanner Poster presented at the February 2021 GTMNERR State of the Reserve Sympos
Multimedia |

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.

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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.

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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.