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

Description

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.

Resources

Name Format Description Link
55 Landing page for access to the data https://doi.org/10.5066/P90BVKTO
55 The metadata original format https://data.usgs.gov/datacatalog/metadata/USGS.5e386582e4b0a79317df566a.xml

Tags

  • environment
  • myriophyllym-spicatum
  • biota
  • environmental-dna
  • egeria-densa
  • non-native-species
  • usgs-5e386582e4b0a79317df566a

Topics

Categories