This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2019 webinar Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This project overview describes a 2011 Collaborative Research project that developed a science-based framework for stakeholders to use in making decisions about water resource management in the Rookery Bay Estuary.
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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 code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.
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This project overview describes the project approach, results, and benefits of a 2016-2020 collaborative research project that increased clarity about marsh habitat change to inform mosquito control and coastal restoration efforts in New Jersey
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This project overview describes a 2018 Science Transfer project where 13 reserves are sharing their experiences in managing conflict during collaborative research projects and synthesizing lessons learned.
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This webinar series, hosted by Restore America's Estuaries, includes webinars delivered by the project team from the "Establishing a Blue Carbon Network for the Gulf Coast" project about blue carbon needs and opportunities on the Gulf Coast.
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These talking points, developed by a 2015 Science Transfer project team, can help you communicate the importance of blue carbon and estuaries to different audiences.
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This document is an assessment of blue carbon opportunities and needs on the Gulf Coast compiled by Coastal Training Program Coordinators at the Gulf of Mexico reserves.
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This project overview describes a 2015 Science Transfer project that produced tools, graphical support, and training for research staff at the Mid-Atlantic reserves to better utilize reserve monitoring data.