This pre-survey is part of a role-play game developed as part of a 2011 Collaborative Research project on sea level rise adaptation in Florida. Each player is assigned a different stakeholder role and fills out this pre-survey before starting the game, which serves as a foundation for helping participants understand each others' perceptions of sea level rise adaptation strategies.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This community vision, developed as part of a 2012 Collaborative Research project, describes desired future conditions stakeholders and residents hope to see for the South Slough and Coastal Frontal sub-basins of the Coos Watershed.
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This project overview describes a 2012 Collaborative Research project that established the Partnership for Coastal Watersheds, a group of local stakeholders that represents diverse interests in Oregon's Coos Bay.
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This project overview describes a 2011 Collaborative Research project that piloted an approach for stakeholder-driven planning that communities in Florida can use to prepare for sea level rise.
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This project overview describes a 2013 project that created an online portal for scientists and fisheries managers to share and use data on larval fish recruitment and environmental variables.
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This website, created as part of a 2017 Collaborative Research project, describes a pilot program led by the University of New Hampshire and the NERRS to develop eDNA sample collection and analysis protocols.
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This document summarizes a tool developed by the NERRS to evaluate and compare the ability of tidal marshes to thrive as sea level rises.
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This paper, published in Biological Conservation, describes an innovative approach developed by the NERRS to evaluate the ability of tidal marshes to thrive as sea levels rise.
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This tool is a novel approach to compare the resilience of different marshes to sea level rise.
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This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.