Shelly Moore's picture

Shelly Moore

Environmental Scientist & Technologist
Information Technology Systems

Shelly Moore, formerly with the Southern California Coastal Water Research Project (SCCWRP), is a scientist who specializes in a variety of areas relative to water quality.  She has expertise in marine debris, fish biology, and data management, analysis and visualization. Her present efforts focus on examining the amount, fate and effect of marine debris/trash in a variety of habitats through projects such as the Bight Regional Monitoring Program and the state-wide Trash Monitoring Method Project to develop monitoring methods for use by many stakeholders. She is also collaborating with others to evaluate and develop new methods for examining and quantifying macro-debris, as well as investigating microscopic techniques to examine microplastics.

Shelly is also Executive Director of the Moore Institute for Plastic Pollution Research, where she is overseeing laboratory-based analyses of microplastics.

Related Projects, News, and Events

California Trash Monitoring Playbook now available (News)

With the Ocean Protection Council-funded trash monitoring project concluded, the project team is eager to deliver its results to you. The team has compiled its data, composed its reports, and is now ready to share with you two reports, intended for use by trash-monitoring practitioners and the diverse constellation of stakeholders who benefit from trash-monitoring efforts. Now available on trashmonitoring.org are:

California Trash Monitoring Methods Project (Project)

The California Ocean Protection Council (OPC), in close partnership with the State Water Board, has recognized the importance of standard methods for trash monitoring and has funded this project. The Southern California Coastal Water Research Project (SCCWRP) and San Francisco Bay Estuary Institute (SFEI) have partnered up to test multiple trash monitoring methods with a goal of developing a library of methods with known levels of precision, accuracy, and cross-comparability of results, and linking these methods to specific management questions.