Citation:

Brown, S. AND J. Darling. GLISSNet 2021. U.S. Environmental Protection Agency, Washington, DC, 2025. https://doi.org/10.23719/1532171

Impact/Purpose:

Under the 2018 Vessel General Discharge Act EPA is mandated to better understand the risks of non-native species introduction; specifically, EPA's Great Lakes National Program Office is mandated to establish a Great Lakes and Lake Champlain Invasive Species Program, one major aim of which is to prevent introduction of new species to the Great Lakes. In order to understand rates of introduction and to detect novel introductions when they occur, GLNPO will require accurate longitudinal data on biodiversity, both native and non-native, at key "sentinel sites" within the Lakes. The data described here were collected to develop molecular protocols enabling highly accurate and sensitive biodiversity monitoring in the Great Lakes.

Description:

This dataset is from sampling of Duluth Harbor in summer/fall of 2021 as part of the Great Lakes Invasive Sentinel Sites Network, a collaboration with the Smithsonian Environmental Research Center. Comprehensive sampling was conducted with multiple sampling gear types to obtain a full picture of native and non-native biodiversity present in both benthos and zooplankton, with the aim of establishing protocols suitable for standardize, longitudinal monitoring in Duluth and other sites within the Great Lakes. This dataset includes DNA metabarcoding data derived from the COI locus. Smithsonian maintains a parallel dataset of morphological taxonomy from the same samples for comparison.

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