Dreissenid bivalves (Dreissena polymorpha and D. rostriformis bugensis) are considered the most aggressive freshwater invaders inflicting profound ecological and economic impacts on the waterbodies that they colonize. Severity of these impacts depends on dreissenid population sizes which vary dramatically across space and time. We developed a novel method that analyzes video recorded using a Benthic Imaging System (BIS) in near real-time to assess dreissenid distribution and density across large waterbodies and tested it on Lake Erie. Lake Erie basins differ dramatically in morphometry, turbidity, and productivity, as well as in Dreissena distribution, density, and length-frequency distribution, providing an excellent model to test the applicability of our method across large and dynamic environmental gradients. Results of rapid assessment were subsequently compared with dreissenid density obtained from Ponar grab samples collected at the same sites. In the eastern and central basins, the differences in basin-wide density estimations from BIS and Ponar were 3% and 23%, respectively. In the western basin, this method had limited application due to high turbidity and abundance of small (< 10 mm length) mussels. By substantially reducing the time required to assess dreissenids across large areas, rapid assessment could be a useful and cost-effective addition for monitoring their populations.
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This study was funded by US EPA through the Great Lakes Restoration Initiative under Prime Agreement with Cornell University, Department of Natural Resources Award GL00E02254 “Great Lakes Long-Term Biological Monitoring 2017–2022” (PI Lars Rudstam) and Subaward # 82839-10916 to SUNY Buffalo State and supports the 2019 Lake Erie Cooperative Science and Monitoring Imitative. We appreciate the assistance of the captain and crew of the US EPA R/V Lake Guardian, including marine technicians Maxwell Morgan, Kathryn Johncock, Alex Hamm, and scientists Shivakumar Shivarudrappa (SUNY Buffalo State, Great Lakes Center), Matt Pawlowski (US EPA GLNPO), Ted Angradi (US EPA GLTED), and Paul Glyshaw (NOAA GLERL) for help with sample collection. We thank Great Lakes Center research scientist Susan Daniel, technicians Erik M. Hartnett and Brianne Tulumello, and SUNY Buffalo State student technicians Emily Burch, Megan Kocher, Christina Perry, Jared Powell, Benjamin Z. Szczygiel, and Abby Mathew for help with sample processing. We also would like to thank SUNY Buffalo State, Great Lakes Center Administrative Assistant Susan Dickinson for proofreading the manuscript. Natalia Mrozińska and Martyna Bąkowska would like to thank the Polish Ministry of Science for financing the internship trip under the name “Regional Initiative of Excellence” in 2019–2022 (project 008/RID/2018/19). Any views expressed in this publication are those of the authors and do not necessarily represent the views or policies of the US EPA. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US EPA.
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Karatayev, A.Y., Burlakova, L.E., Mehler, K. et al. Rapid assessment of Dreissena population in Lake Erie using underwater videography. Hydrobiologia 848, 2421–2436 (2021). https://doi.org/10.1007/s10750-020-04481-x
- Remote sensing
- Dreissena rostriformis bugensis
- Lake Erie
- Underwater video
- Rapid assessment