These presentations were delivered at the Capitalizing on Coastal Blue Carbon conference in 2015, hosted by the Waquoit Bay Reserve to discuss the outcomes of their 2011 Collaborative Research project and implications for wetland conservation in New England and beyond.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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These slideshows, originally presented at a 2013 symposium hosted by Waquoit Bay Reserve, explore the different ways that salt marsh ecosystems are valued in the Northeast, with an emphasis on carbon and nitrogen cycling in salt marshes and economic valuation of ecosystem services.
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This four-part video series gives an overview of the 2011 Collaborative Research project, "Bringing Wetlands to Market," discussing the project's field research, collaborative processes, and tools developed.
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This high school STEM curriculum module, created as part of the project Bringing Wetlands to Market Phase 1: Nitrogen and Coastal Blue Carbon, examine the relationship between climate change impacts and carbon storage in New England salt marsh.
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This webinar, which originally aired on December 12, 2013, discusses the Tijuana River Reserve's collaborative efforts to develop a vulnerability assessment that informs an adaptation strategy to address sea level rise and riverine flooding.
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Southern California ’s coastal environments are under intense development pressure. In the Tijuana River Valley, this pressure translates into the fragmentation and loss of coastal wetlands that provide invaluable services, such as water quality protection.
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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.