Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-1009-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-1009-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Feb 2021
Research article |
| 25 Feb 2021
| 25 Feb 2021
Lake thermal structure drives interannual variability in summer anoxia dynamics in a eutrophic lake over 37 years
Center for Limnology, University of Wisconsin-Madison, Madison, WI,
USA
Paul C. Hanson
Center for Limnology, University of Wisconsin-Madison, Madison, WI,
USA
Hilary A. Dugan
Center for Limnology, University of Wisconsin-Madison, Madison, WI,
USA
Cayelan C. Carey
Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA
Yu Zhang
Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA
Department of Land, Air and Water Resources, University of California Davis, Davis, CA, USA
Christopher J. Duffy
Department of Civil & Environmental Engineering, The Pennsylvania State University, State College, PA, USA
Kelly M. Cobourn
Department of Forest Resources and Environmental Conservation,
Virginia Tech, Blacksburg, VA, USA
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- Predicting the presence of hypoxic hypolimnia in lakes at large spatial scales R. LaBrie & R. Maranger 10.1002/lno.12488
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- Modelling prolonged stratification and hypoxia in dryland river waterholes during drought conditions S. Zhai et al. 10.1080/20442041.2023.2213629
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- Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake L. Shu et al. 10.5194/hess-28-1477-2024
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Discussed (final revised paper)
Latest update: 13 Dec 2024
Short summary
Using a modeling framework applied to 37 years of dissolved oxygen time series data from Lake Mendota, we identified the timing and intensity of thermal energy stored in the lake water column, the lake's resilience to mixing, and surface primary production as the most important drivers of interannual dynamics of low oxygen concentrations at the lake bottom. Due to climate change, we expect an increase in the spatial and temporal extent of low oxygen concentrations in Lake Mendota.
Using a modeling framework applied to 37 years of dissolved oxygen time series data from Lake...
