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

February 19, 2020

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.

Publication Year 2020
Title Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data
DOI 10.5066/P90BVKTO
Authors Carl O Ostberg, Lauren M. Kuehne, Dorothy M. Chase, Jeff Duda, Julian D. Olden
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization Western Fisheries Research Center (WFRC)
Rights This work is marked with CC0 1.0 Universal
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