IAN is committed to producing practical, user-centered communications that foster a better understanding of science and enable readers to pursue new opportunities in research, education, and environmental problem-solving. Our publications synthesize scientific findings using effective science communication techniques.
In October 2025, the Maryland Water Monitoring Council Community Science Committee hosted the Data to Decisions: Why Your Data Matter workshop at the UMBC Technology Center in Halethorpe, Maryland. The workshop convened community science monitoring groups alongside state, federal, and nonprofit partners to explore how community-collected data are used in decision-making processes across Maryland and the Chesapeake Bay watershed.
The Salt Watch program monitors chloride levels in waterways as a result of road salt usage. This newsletter presents the results of the Loudoun Wildlife Conservancy's 2024-2025 Salt Watch monitoring season. It aims to educate about the impacts of road salt runoff and encourage community members to advocate for and implement responsible road salt usage.
IAN continues to foster strong relationships with its partners and is achieving goals related to products and dissemination. However, goals are not being met in the Diversity, Equity, Inclusion, and Justice, and Education and Outreach categories, and for including Core Categories of Indicators in assessment projects. IAN also needs to promote more teaching and training opportunities.
This report card, produced with Patapsco Heritage Greenway as part of the Chesapeake Monitoring Cooperative, assesses the condition of the Patapsco River using volunteer monitoring data for the fourth year in a row.
Este conjunto de fichas informativas proporciona información útil sobre parámetros de monitorización del agua como el oxígeno disuelto, la clorofila y los macroinvertebrados bentónicos.
Wu W, Wang Z, Zhang YJ, Shen J, Tian R, Linker LC, and Cerco CF ·
Estuaries, as transitional zones between land and ocean, exhibit highly nonlinear, cross-scale hydrodynamic processes that present substantial challenges for numerical modeling. Using Chesapeake Bay as an example, we demonstrate a physically based calibration procedure with observation-derived parametrizations, together with a high-resolution unstructured model without bathymetry smoothing.
Duffy JE, Appeltans W, Benson A, Connolly RM, de la Torre-Castro M, Dierssen HM, Fortes MD, Fourqurean JW, Hessing-Lewis M, Jarvis JC, Kenworthy WJ, Krause JR, Lopez AL, Lefcheck JS, Lizcano-Sandoval L, Lonneman M, McKenzie L, Muller-Karger FE, Nakaoka M, Nordlund LM, Provoost P, Roelfsema CM, and Unsworth RKF ·
To effectively manage and protect ocean life and the people who depend on it, we need coordinated, comparable observations of ocean biodiversity. Seagrass cover and composition is an essential ocean variable (EOV) of the Global Ocean Observing System because seagrasses are the foundation of coastal ecosystems worldwide, and support diverse marine life and ecosystem services.
A Report to the Maryland General Assembly, Governor, and Secretary of Natural Resources in Response to Senate Bill 830 (2022)
North, E., M. W. Gray, M. Fabra, J. Shaner, C. Keitzer, and R. Nair-Gonzalez ·
This report is in response to Senate Bill 830 (2022) that instructed the University of Maryland Center … for Environmental Science (UMCES) to evaluate the following topics in collaboration with Smithsonian … Environmental Research Center, Virginia Institute of Marine Science, appropriate State and federal … agencies, and industry and other stakeholders:
Maloney KO, Fanelli RM, Cashman MJ, Boyle LJ, Gordon SE, Gressler BP, Katoski MP, Kiser AH, Metes MJ, Noe GB, Sekellick AJ, Sussman A, and Young JA ·
Freshwater streams in the Chesapeake Bay watershed are home to numerous aquatic organisms (like fish, amphibians, mussels, and insects) and provide drinking water and recreational opportunities to people living in or visiting the watershed. Land-use changes, such as urban development and increased activities in certain agricultural sectors, have degraded water quality and altered conditions in these streams, thereby affecting their health and function.
As water-quality challenges intensify, the widely used Weighted Regressions on Time, Discharge, and Season (WRTDS) method offers an adaptable and practical framework for global water-quality science and management.
