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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 10
Data |

This dataset comprises the data collected and produced as part of the 2016 research project Investigating the Interconnectedness of Climate Change, Nuisance Mosquitoes, and Resilience of Coastal Salt Marsh Systems.

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.

Tool |

This advisory committee charter, developed for a National Estuarine Research Reserve project to evaluate a thin-layer placement as a strategy for marsh resilience, offers an example for engaging diverse end users in collaborative research.

Tool |

These coastal hazard risk communication training process agendas can be used to as a model help facilitators develop trainings for coastal decision makers in other communities.

Tool |

These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation success.

Tool |

This document provides guidance on the use of thin-layer sediment placement (TLP) as a tool for tidal marsh resilience in the face of sea-level rise.

Tool |

These coastal hazard risk communication workshop materials can be used to help facilitate trainings for coastal decision makers.

Tool |

This document provides guidance to those wishing to use the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH") - a decision support tool which guides users through a series of questions to calculate numerical climate vulnerability scores for ecological habitats.

Tool |

This tool is a novel approach to compare the resilience of different marshes to sea level rise.

Data |

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