Dataset: Continuous CO2 data from a Lake Michigan transect between Milwaukee, Wisconsin and Muskegon, Michigan collected during 2017, 2018, 2019, and 2021

Final no updates expectedDOI: 10.26008/1912/bco-dmo.737667.3Version 3 (2023-12-20)Dataset Type:Cruise Results

Principal Investigator: Harvey Bootsma (University of Wisconsin)

Co-Principal Investigator: Qian Liao (University of Wisconsin)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders (Filter Feeders Physics and Phosphorus)


Abstract

This dataset provides CO2 data collected during 2017, 2018, 2019, and 2021 from a Lake Michigan transect between Milwaukee, Wisconsin and Muskegon, Michigan. Water chemistry and conductivity-temperature-depth (CTD) profiles were measured at several stations in Lake Michigan, ranging in depth from 10 to 55 m, in a region northeast of Milwaukee Harbor. Measurements included soluble reactive phosphorus, total dissolved phosphorus, particulate phosphorus, chlorophyll a, the concentrations and sta...

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Continuous CO2 data from from a Lake Michigan collected during 2017-2019 and in 2021. No samples were collected in 2020, due to COVID-19 restrictions. The sampling system is mounted in the engine room of the Lake Express high-speed ferry, where it draws water from a sea chest that has a residence time of several seconds.


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Results

Shen, C., Liao, Q., Bootsma, H. A., Troy, C. D., & Cannon, D. (2018). Regulation of plankton and nutrient dynamics by profundal quagga mussels in Lake Michigan: a one-dimensional model. Hydrobiologia, 815(1), 47–63. https://doi.org/10.1007/s10750-018-3547-6
Methods

Zagorski, J., & Bootsma, H. (2006). High spatial-resolution monitoring of surface CO2 concentrations in Lake Michigan. OCEANS 2006. https://doi.org/10.1109/oceans.2006.307084