Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data

We conducted a study to test the factors related to detectability of two invasive aquatic plants (Egeria densa and Myriophyllym spicatum) using environmental DNA (eDNA), over extended periods of time, and specifically examined how plant growth stage and abundance relates to eDNA detection in semi-natural and natural conditions. This dataset is from sampling performed in summer of 2018 in lakes with varying species abundances, and a subset of lakes were re-sampled to test temporal variability in detection.

Categories: Data; Tags: Aquatic Biology, Downloadable Data, Ecology, Egeria densa, Myriophyllym spicatum, All tags... USGS Science Data Catalog (SDC), Washington State, biota, eDNA, environment, environmental DNA, invasive species; information management, non-native species, qPCR, Fewer tags