This 2020 article which appeared in the Journal of Geophysical Research: Biogeosciences describes a study that examined pond development and properties in salt marshes in order to better characterize them under different management and sea level rise scenarios as part of a 2017-2020 collaborative research project.

This 2019 article, which appeared in Nature Geoscience, suggests the importance of the integration of decomposition mechanisms into blue carbon models for predicting soil organic carbon stores. These findings were generated as part of a 2017-2020 collaborative research project.

These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

This website, developed as part of a 2017 collaborative research project, describes the Marsh Sustainability and Hydrology project in detail and provides access to the MSH decision support tool.

This decision support tool, developed as part of a 2017 collaborative research project, allows users to select different combinations of tidal range, suspended sediment, ditch density, and sea-level rise variables and visualize predicted outcomes over different time frames.

This dataset comprises the data collected and produced as part of the 2016 research project Investigating the Interconnectedness of Climate Change, Nuisance Mosquitoes, and Resilience of Coastal Salt Marsh Systems.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2021 webinar Understanding the Interconnectedness of Climate Change, Salt Marsh Resilience, and Nuisance Mosquitoes.

This collection of graphics was developed to support the project's outreach and communications efforts and is being made available for use by others.

These teaching modules for middle and high school educators is focused on the biology, ecology, and impacts of climate change on mosquitoes and their habitats.

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.