An Ecosystem-Based Conservation Framework for Oyster Reefs

Lead Investigator: Simon J. Brandl, The University of Texas at Austin, Marine Science Institute (simon.brandl@austin.utexas.edu)

Natural Resource Manager: Emma Clarkson, Texas Parks & Wildlife Department

Project Team: Keisha Bahr, Texas A&M University-Corpus Christi; Jennifer Beseres Pollack, Texas A&M University-Corpus Christi; Daniel Coffey, Texas A&M University-Corpus Christi; Jordan Casey, The University of Texas at Austin; Kristin Nielsen, The University of Texas at Austin, Marine Science Institute; Christopher Biggs, The University of Texas at Austin

Collaborators: Lauren Hutch Williams, The Nature Conservancy; Shane Bonnot & John Blaha, Coastal Conservation Agency; TBD, Mission-Aransas National Estuarine Research Reserve; Rae Mooney, City of Port Aransas

Federal Program Officer/Point of Contact: Frank Parker (frank.parker@noaa.gov)

Award Amount: $1,996,417

Award Period: October 2023 – September 2028

Why it matters: Oyster reefs created by the Eastern oyster (Crassostrea virginica) sustain a highly valuable fishery, while protecting shorelines from erosion, enhancing water quality, and providing food and habitat for economically valuable fish species.

What the team is doing: The project will employ high-resolution monitoring techniques across 50 reefs, sampled annually over three years. These methods include a) dredge samples, biomarkers, calcification assays, and sonar-based monitoring to quantify oyster population dynamics and physical reef structure, b) environmental DNA surveys, oyster sampling units, and passive acoustic monitoring to survey oyster reef communities, c) acoustic telemetry, network analyses, and acoustic monitoring of spawning activity to reveal oyster reef habitat use by important gamefish species, and d) water quality monitoring, ecotoxicology, and molecular surveys of diseases and predators to characterize local environmental, biotic, and anthropogenic context.

Expected outcome: A statistical tool will be developed and transferred to the Texas Parks & Wildlife Department to forecast the effects of management actions given local conditions.