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Resources

Resources

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

Displaying 131 - 140 of 209
Journal Article |

This paper, published in Agricultural and Resource Economics Review, stemmed from work completed as part of the Buffer Options for the Bay project in Great Bay, NH.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the October 2019 webinar Evaluating the Impact of Hydrologic Alterations on Salt Marsh Sustainability in a Changing Climate.

Journal Article |
Abstract

The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of st

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.

Tool |

The Fisheries Resilience Index is a self-assessment tool developed for Alaska fishery industry leaders and businesses.

Tool |

This step-by-step tutorial demonstrates how to do a shoreline erosion assessment using common software.

Tool |

This collection of resources provides instructions for a user-friendly, low-cost tool to estimate wave energy. It was produced by Eric Sparks' team as part of a collaborative research project to evaluate coastal restoration designs.

Journal Article |
Abstract

The ocean is inextricably linked to human societies. Climate change and its associated impacts to the aquatic environment pose problems for human communities as well.

Webinar Summary |

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the July 2019 webinar Mapping the Effects of Long-term Hydrologic Stress, Sea-level Rise, and Hurricane Irma on Coastal Habitats.

Tool |

This guide outlines a structured process to engage experts and develop timely, science-based solutions to environmental problems. The FAST process provides an iterative, weight-of-evidence approach for these experts to reach general agreement around technical recommendations.