Thin-layer sediment placement (TLP) is a promising management tool for enhancing tidal marsh resilience to rising seas.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This 2021 article which appeared in Estuaries and Coasts provides a synthesis of native oyster restoration projects conducted from California, USA, to British Columbia, Canada.
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This 2018 catalyst project streamlined and enhanced mapping and decision support tools to help New Jersey coastal communities prepare for sea level rise and extreme storms.
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This climate adaptation planning toolkit compiles lessons learned by five National Estuarine Research Reserves. It is designed to help communities set goals and identify specific indicators to evaluate progress toward a climate resilient future.
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The Native Olympia Oyster Collaborative is a coastwide network from Baja California to British Columbia to conserve and rebuild West coast native oyster populations.
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This website contains information and resources related to a 2013 Collaborative Research project studying sediment dynamics in tidal marshes in San Francisco Bay.
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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 2017 article appeared in the journal Ecology, and presents findings from a study assessing the individual and synergistic effects of air temperature and salinity on Olympia oyster mortality across temporal patterns that accurately reflect the natural environment.
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This 2016 journal article was published in Proceedings of the Royal Society B. The study highlights how extreme precipitation events in 2011 may have contributed to near 100% mass mortality of wild oysters in northern San Francisco Bay.
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This journal article was published in Estuaries and Coasts in 2016, and decribes a study of how seasonal changes in temperature and salinity impact larval Olympia oyster recruitment across a range of sites and time intervals.