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.

This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.

This paper, published in International Journal of Applied Earth Observation and Geoinformation, describes results of three different mangrove mapping methods to evaluate the impacts of Hurricane Irma, a Category 3 storm that affected southwest Florida in September of 2017. The approach was tested on a very high resolution WorldView-2 satellite image.

Mangroves and other habitats in Rookery Bay National Estuarine Research Reserve have been changing as a result of chronic stressors and severe hurricanes in recent years.

This training manual provides a step-by-step guide to create habitat maps using WorldView and Landsat satellite imagery.

This story map explains mangrove habitat change at the Rookery Bay National Estuarine Research Reserve from 2010-2018, illustrating mangrove damage and recovery from Hurricane Irma.

This video was produced by a 2016 Science Transfer team to describe the concept of coastal blue carbon and explain why it is important in mitigating climate change.

This rack card was created by a 2016 Science Transfer team in Texas to provide the public with information about wetland ecosystem services and to introduce the concept of natural capital.

This document summarizes a December 2017 workshop hosted by Mission-Aransas Reserve that explored ways to generate a return on investment from wetland preservation and restoration projects in Texas.

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.