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.

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.

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.

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

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.

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.

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.

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.

These sediment and hydrodynamic data were collected as part of the 2016-2020 collaborative research project Improved Understanding of Sediment Dynamics for the Coos Estuary that produced a new bathymetric dataset for Coos Bay and a hydrodynamic model characterizing sediment distribution and circulation in the estuary.

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.