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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the November 2020 webinar Measuring Climate Adaptation Success and Progress: Introduction to the Resilience Metrics Toolkit
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This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.
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These resources from a stakeholder visit to the Stariski Creek Meadows headwaters in July 2019 were developed as part of a project to improve groundwater management on the Kenai Peninsula, Alaska.
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This webinar from the Montana Institute on Ecosystems' Rough Cut Seminar Series presents methods and outcomes from a 2017 collaborative research project that developed a conceptual model for groundwater discharge and recharge on the Kenai Peninsula, Alaska.
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This geodatabase of groundwater on the Kenai Peninsula, Alaska, can be used as a foundation for decision-making to determine the locations of aquifers and predict groundwater discharge to streams.
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This project overview describes a 2018 Catalyst project that created the web-based toolkit Resilience Metrics to share lessons learned on successful climate adaptation planning within the National Estuarine Research Reserve System.
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This webinar for decision makers presents findings from a 2017 collaborative research project that developed a conceptual model for groundwater discharge and recharge on the Kenai Peninsula, Alaska.
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Promoting Resilient Groundwater Resources and Holistic Watershed Management at the Kachemak Bay NERR
This project overview describes a 2017 Collaborative Research project where Kachemak Bay Reserve staff and local partners are developing a conceptual model and geospatial layer that can be used to predict specific locations where groundwater discharge and recharge occur.