Reduced sampling intensity through key sampling site selection for optimal characterization of riverine fish communities by eDNA metabarcoding

Effective conservation management of river systems requires a comprehensive understanding of local and regional biodiversity, necessitating accurate characterization of species communities. Environmental DNA (eDNA) metabarcoding has emerged as a pivotal tool for assessing aquatic organisms, especially fish communities. However, optimal sampling resolution and site positioning to obtain robust fish diversity indices across heterogeneous river systems remain inadequately understood. This study empirically evaluates the optimal number of eDNA samples needed to accurately capture diversity both locally and stream-wide across three distinct river systems, comparing eDNA metabarcoding results to traditional electrofishing data. Habitat and landscape factors were characterized to interpret the localization of key sampling sites contributing most to the overall species richness. We detected 30 fish species via eDNA metabarcoding, compared to 28 species by electrofishing, with eDNA requiring fewer sampling sites per river system. To reach 95 percent of the estimated species richness, eDNA analyses required between one and nine sites across three river systems spanning ten kilometers each. In the most diverse river, a single eDNA sampling site even achieved a higher species richness (20 species) compared to the nine required sites to reach 95 percent of the estimated species richness via electrofishing (9 species). To account for eDNA particle dilution and degradation, sampling at both upstream and downstream sites may be crucial, with strategic site selection further refined by factors like adjacent stream inflows, substrate type, and river discharge rate, all of which influence species-specific habitat occupancy. On a smaller scale, the location of key sampling sites only moderately differs within 100-meter transects, thereby informing on the precise placement of those sampling sites. Our work highlights the robustness and cost-effectiveness of eDNA analyses for riverine biodiversity assessment, demonstrating strong potential for enhancing various conservation practices.