Skip to main content

Resources

Resources

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

Displaying 1 - 10 of 11
Case Study |
GUIDE CASE STUDY: Collaborative science projects are designed to inform and catalyze action, but often those impacts do not develop until after a grant ends. Two project teams working with New England reserves found different ways to support the work of their partners after their grants ended.
Case Study |
GUIDE CASE STUDY: Collaboration with diverse team members and stakeholders can sometimes result in disagreements or contention, as was the experience of the New England Climate Adaptation Project, a regional initiative involving the four New England reserves.
Case Study |
GUIDE CASE STUDY: Involving younger stakeholders in collaborative projects can provide information about how they perceive, value, and understand the environment and help connect them with environmental stewardship and their community.
Data |

This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.

Case Study |

These four case studies give examples of four best practices for conflict management in collaborative science. They were developed as part of the Resilience Dialogues project to share lessons learned about effective collaboration from within the National Estuarine Research Reserve System.

Data |
About this Project

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.

Data |

This dataset compiles salt marsh monitoring from four New England NERRs from 2010 to 2018, as part of a catalyst project to sythesize and identify regional trends in salt marsh data in the reserve system.

Case Study |

These case studies summarize findings from a 2012 Collaborative Research project studying climate change adaptation and risks in four New England communities.

Data |

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.