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

Dates

Publication Date
Start Date
2018-06-12
End Date
2018-10-30

Citation

Ostberg, C.O., Kuehne, L.M., Chase, D.M., Duda, J.J., and Olden,J.D., 2020, Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data: U.S. Geological Survey data release, https://doi.org/10.5066/P90BVKTO.

Summary

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.

Contacts

Attached Files

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Detection of invasive aquatic plants in lakes using eDNA_fielddata.csv
“Seasonal qPCR data from lakes ”
133.88 KB text/csv
Detection of invasive aquatic plants in lakes using eDNA_mesocosmdata.csv
“qPCR data from mesocosm experiment”
66.4 KB text/csv

Purpose

The goal was to develop and test the use of species specific eDNA assays to detect the presence of two non-native plant species (Egeria densa and Myriophyllym spicatum) in aquatic environments.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P90BVKTO
USGS_ScienceCenter https://www.sciencebase.gov/vocab/category/item/identifier Western Fisheries Research Center
USGS_MissionArea https://www.sciencebase.gov/vocab/category/item/identifier Ecosystems
USGS_keywords https://www.sciencebase.gov/vocab/category/item/identifier Botany, Ecology, Environmental Health, Genetics, Limnology, Water Resources

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