Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.
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This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2021 webinar Evaluating the Impact of Hydrologic Alterations on Salt Marsh Sustainability in a Changing Climate.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2021 webinar Improved Understanding of Sediment Dynamics for the Coos Estuary.
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This 2021 article which appeared in Geophysical Research Letters describes a study that took a novel approach to characterize soil organic carbon accumulation supporting marsh elevation maintenance as part of a 2017-2020 collaborative research project.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2021 webinar Promoting Resilient Groundwater and Holistic Watershed Management in Alaska ’s Kenai Lowlands.
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This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.
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This 2020 article which appeared in Estuaries and Coasts describes a study that evaluated rates of gross oxygen production over different time scales in a shallow temperate salt marsh pond as part of a 2017-2020 collaborative research project.
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This 2020 article which appeared in Geomorphology describes a model to predict marsh pond dynamics in New England salt marshes that was developed as part of a 2017-2020 collaborative research project .