Jobos Bay - Photo credit: NOAA
This factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.
This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.
This project overview describes a 2016 Science Transfer project where staff members from the North Carolina National Estuarine Research Reserve are being trained in the application of the CCVATCH tool to assess the vulnerabilities of local coastal habitats to climate change.
This project overview describes a 2017 science transfer project that developed a risk communication training for reserves to build risk communication capacity in four coastal communities.
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.
These coastal hazard risk communication workshop materials can be used to help facilitate trainings for coastal decision makers.
This management brief, prepared by Science Collaborative Staff, is the final version of the document incorporating content from the March 17, 2020 panel webinar on Blue Carbon.
This project video illustrates how role playing simulations were used to foster dialoge around climate change callenges and opportunities in South Carolina.
This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the January 2020 webinar Engaging Communities in Role-Playing Simulations to Advance Climate Planning.
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.
This management brief, prepared by Science Collaborative Staff, is the final version of the document incorporating content from the September 9, 2019 panel webinar on Climate Adaptation and Resilience.
This briefing document presents outcomes and findings from a science transfer project that developed and led role playing simulation exercises to help community leaders and stakeholders explore options for addressing flooding and other climate-related risks in South Carolina.
This project overview describes a project led by Elkorn Slough National Estuarine Research Reserve to communicate the results of a recent national synthesis of NERR Sentinel Site data on marsh resilience to sea level rise.
This report summarizes the findings of a 2016 Science Transfer project that assessed the vulnerabilities of intertidal marsh sites in North and South Carolina.
These resources are from workshops, focus groups, and surveys that a team from North Inlet-Winyah Bay and ACE Basin reserves used to scope their 2012 Collaborative Research project, "Advancing Low Impact Development in Coastal South Carolina."
These resources contain information about stakeholder workshops hosted by the 2012 Collaborative Research project team, "Advancing Low Impact Development in Coastal South Carolina." These resources include meeting agendas, presentations, meeting notes, and other materials.
This spreadsheet was developed by a 2012 Collaborative Research team to help property owners in coastal South Carolina calculate rules for stormwater treatment and runoff reductions from their sites based on statewide rules and regulations.
This spreadsheet was designed by a 2012 Collaborative Research team to help property owners and designers properly size rainwater harvesting systems.
This spreadsheet is a useful tool for maintaining various types of green infrastructure, including permeable pavement, green roofs, and rainwater harvesting systems.
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.