A peer-reviewed article describing the potential link between water temperature variability and eelgrass loss in the Coos Estuary of southwest Oregon.
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 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 factsheet, written as a resource for a three-year Collaborative Research project, describes measures and proposed management plans for marsh resilience to create a long-term monitoring programs and national-level synthesis efforts.
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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 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 video was created by two high school students from the Alaska Native village of Tyonek, documenting their communities groundwater uses, and represents one output from engaging with students from a 2017 collaborative research project.
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This article, published in JGR Oceans in 2020, describes the use of a high-resolution model of water and sediment dynamics used in the Coos Bay estuary in Oregon to assess how 150 years of modification have altered sediment storage and transport.
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This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.
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This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.