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Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake

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  • Snortheim, Craig A.
  • Hanson, Paul C.
  • McMahon, Katherine D.
  • Read, Jordan S.
  • Carey, Cayelan C.
  • Dugan, Hilary A.

Abstract

Oxygen concentration is both an indicator and driver of water quality in lakes. Decreases in oxygen concentration leads to altered ecosystem function as well as harmful consequences for aquatic biota, such as fishes. The responses of oxygen dynamics in lakes to climate-related drivers, such as temperature and wind speed, are well documented for lake surface waters. However, much less is known about how the oxic environment of bottom waters, especially the timing and magnitude of anoxia in eutrophic lakes, responds to changes in climate drivers. Understanding how important ecosystem states, such as hypolimnetic anoxia, may respond to differing climate scenarios requires a model that couples physical-biological conditions and sufficiently captures the density stratification that leads to strong oxygen gradients. Here, we analyzed the effects of changes in three important meteorological drivers (air temperature, wind speed, and relative humidity) on hypolimnetic anoxia in a eutrophic, north temperate lake using the anoxic factor as an index that captures both the temporal and spatial extent of anoxia. Air temperature and relative humidity were found to have a positive correlation with anoxic factor, while wind speed had a negative correlation. Air temperature was found to have the greatest potential impact of the three drivers on the anoxic factor, followed by wind speed and then relative humidity. Across the scenarios of climate variability, variation in the simulated anoxic factor was primarily due to changes in the timing of onset and decay of stratification. Given the potential for future changes in climate, especially increases in air temperature, this study provides important insight into how these changes will alter lake water quality.

Suggested Citation

  • Snortheim, Craig A. & Hanson, Paul C. & McMahon, Katherine D. & Read, Jordan S. & Carey, Cayelan C. & Dugan, Hilary A., 2017. "Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake," Ecological Modelling, Elsevier, vol. 343(C), pages 39-53.
  • Handle: RePEc:eee:ecomod:v:343:y:2017:i:c:p:39-53
    DOI: 10.1016/j.ecolmodel.2016.10.014
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    1. Read, Jordan S. & Winslow, Luke A. & Hansen, Gretchen J.A. & Van Den Hoek, Jamon & Hanson, Paul C. & Bruce, Louise C. & Markfort, Corey D., 2014. "Simulating 2368 temperate lakes reveals weak coherence in stratification phenology," Ecological Modelling, Elsevier, vol. 291(C), pages 142-150.
    2. Michelle Palmer & Norman Yan & Keith Somers, 2014. "Climate change drives coherent trends in physics and oxygen content in North American lakes," Climatic Change, Springer, vol. 124(1), pages 285-299, May.
    3. Gal, G. & Hipsey, M.R. & Parparov, A. & Wagner, U. & Makler, V. & Zohary, T., 2009. "Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study," Ecological Modelling, Elsevier, vol. 220(13), pages 1697-1718.
    4. Trolle, Dennis & Skovgaard, Henrik & Jeppesen, Erik, 2008. "The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM," Ecological Modelling, Elsevier, vol. 219(1), pages 138-152.
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    5. Laura Melo Vieira Soares & Maria Calijuri & Talita Fernanda Silva & Evlyn Marcia Leão Novo, 2021. "Climate change enhances deepwater warming of subtropical reservoirs: evidence from hydrodynamic modelling," Climatic Change, Springer, vol. 166(1), pages 1-19, May.
    6. Farrell, Kaitlin J. & Ward, Nicole K. & Krinos, Arianna I. & Hanson, Paul C. & Daneshmand, Vahid & Figueiredo, Renato J. & Carey, Cayelan C., 2020. "Ecosystem-scale nutrient cycling responses to increasing air temperatures vary with lake trophic state," Ecological Modelling, Elsevier, vol. 430(C).
    7. Qi Wang & Leon Boegman, 2021. "Multi-Year Simulation of Western Lake Erie Hydrodynamics and Biogeochemistry to Evaluate Nutrient Management Scenarios," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    8. Weng, Weizhe & Boyle, Kevin J. & Farrell, Kaitlin J. & Carey, Cayelan C. & Cobourn, Kelly M. & Dugan, Hilary A. & Hanson, Paul C. & Ward, Nicole K. & Weathers, Kathleen C., 2020. "Coupling Natural and Human Models in the Context of a Lake Ecosystem: Lake Mendota, Wisconsin, USA," Ecological Economics, Elsevier, vol. 169(C).
    9. Fenocchi, Andrea & Rogora, Michela & Morabito, Giuseppe & Marchetto, Aldo & Sibilla, Stefano & Dresti, Claudia, 2019. "Applicability of a one-dimensional coupled ecological-hydrodynamic numerical model to future projections in a very deep large lake (Lake Maggiore, Northern Italy/Southern Switzerland)," Ecological Modelling, Elsevier, vol. 392(C), pages 38-51.

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