The project investigated the use of environmental DNA (eDNA) metabarcoding techniques to improve fisheries monitoring and biodiversity assessments in the Indian River Lagoon (IRL), a highly diverse estuary in the United States. The project aimed to overcome the limitations of traditional fish surveys that often miss key species due to gear bias. By analyzing eDNA—genetic material released by aquatic organisms—the researchers sought to detect a wider array of species without direct capture, thereby enhancing understanding of fish community composition and distribution. Project methodology included assessment of the effectiveness of eDNA in complementing existing fisheries-independent monitoring, optimizing sampling protocols for varying water conditions, estimating species abundance through eDNA copy numbers, and establishing a long-term monitoring framework for plankton communities in relation to water quality. Project findings suggest that eDNA metabarcoding can identify a greater diversity of species than conventional methods, underscoring its potential as a valuable tool for fisheries management and conservation. With further analyses the research team hopes to refine methodologies and deepen insights into fish populations in the IRL.
• Emily Farrell, PhD student, University of Central Florida
• Richard Paperno, Florida Fish & Wildlife Conservation Commission
