This 2019 report describes the findings of a University of Michigan SEAS Master's project which provides insights for KBNERR regarding current ecosystem services valued in Kachemak Bay using a socio-cultural, place-based, ecosystem services framework.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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These risk assessments detail how climate could change in four New England municipalities over the 21st century, outlining each town's key climate change risks and potential adaptation options to address these risks. These assessments were produced as part of a 2012 Collaborative Research project.
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These case studies summarize findings from a 2012 Collaborative Research project studying climate change adaptation and risks in four New England communities.
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These stakeholder assessments capture opinions about climate change and adaptation held by diverse stakeholders in four New England municipalities as part of a 2012 Collaborative Research project.
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This Excel spreadsheet, developed by a 2011 Collaborative Research project team, allows you to evaluate the appropriateness of one or more sites for Olympia oyster restoration.
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This report discusses environmental conditions and sites that support sustainable Olympia oyster populations in central California.
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Oysters are the tiny superheroes of coastal environments. They enhance water quality, create habitat, and protect shorelines from storms and erosion. Along the Pacific Coast, native oysters are in decline, due in part to sedimentation, inadequate protection, and unsustainable harvests.
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This project overview describes a 2011 Collaborative Research project that developed science-based planning tools that decision-makers along the Pacific Coast can use to better site oyster restoration projects.
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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.