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The influence of physical and physiological processes on the spatial heterogeneity of a Microcystis bloom in a stratified reservoir

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  • Chung, S.W.
  • Imberger, J.
  • Hipsey, M.R.
  • Lee, H.S.

Abstract

A three-dimensional coupled hydrodynamic and ecological model, ELCOM–CAEDYM, was extended to include buoyancy control dynamics for cyanobacteria, and validated in the stratified Daecheong Reservoir (Korea). Specifically, the model was used to explore the physical and biological processes that determined the temporal and spatial variability of Microcystis aeruginosa (hereafter Microcystis) biomass during an abnormally intense mono-specific bloom event. Inclusion of the buoyancy control function within the coupled model considerably improved the model predictability by capturing the biomass accumulation at the surface during the bloom, and the shift of the dominant group from green algae to cyanobacteria. Results indicated that physical processes, particularly inflow mixing, played a dominant role in determining the spatial heterogeneity of Microcystis biomass through the local control of nutrient availability. In addition, the shallow mixed layer depth (zm) relative to the euphotic depth (zp) under a stable thermal stratification provided a perfect physical habitat for the dominance of this cyanobacteria relative to other species, due to their buoyancy control capability. This work demonstrates that the coupled hydrodynamic and ecological modeling has advanced to a stage where it may be used to interpret field data and subject to a suitable level of validation, the model may be used as a management decision support tool.

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  • Chung, S.W. & Imberger, J. & Hipsey, M.R. & Lee, H.S., 2014. "The influence of physical and physiological processes on the spatial heterogeneity of a Microcystis bloom in a stratified reservoir," Ecological Modelling, Elsevier, vol. 289(C), pages 133-149.
    • Handle: RePEc:eee:ecomod:v:289:y:2014:i:c:p:133-149
    DOI: 10.1016/j.ecolmodel.2014.07.010
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    References listed on IDEAS

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    1. Recknagel, Friedrich & Ostrovsky, Ilia & Cao, Hongqing & Zohary, Tamar & Zhang, Xiaoqing, 2013. "Ecological relationships, thresholds and time-lags determining phytoplankton community dynamics of Lake Kinneret, Israel elucidated by evolutionary computation and wavelets," Ecological Modelling, Elsevier, vol. 255(C), pages 70-86.
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    1. Deutsch, Eliza S. & Alameddine, Ibrahim & Qian, Song S., 2020. "Using structural equation modeling to better understand microcystis biovolume dynamics in a mediterranean hypereutrophic reservoir," Ecological Modelling, Elsevier, vol. 435(C).
    2. Wang, Chao & Feng, Tao & Wang, Peifang & Hou, Jun & Qian, Jin, 2017. "Understanding the transport feature of bloom-forming Microcystis in a large shallow lake: A new combined hydrodynamic and spatially explicit agent-based modelling approach," Ecological Modelling, Elsevier, vol. 343(C), pages 25-38.
    3. Tranmer, Andrew W. & Marti, Clelia L. & Tonina, Daniele & Benjankar, Rohan & Weigel, Dana & Vilhena, Leticia & McGrath, Claire & Goodwin, Peter & Tiedemann, Matthew & Mckean, Jim & Imberger, Jörg, 2018. "A hierarchical modelling framework for assessing physical and biochemical characteristics of a regulated river," Ecological Modelling, Elsevier, vol. 368(C), pages 78-93.
    4. Sofia Midauar Gondim Rocha & João Victor Barros da Silva & Wictor Edney Dajtenko Lemos & Francisco de Assis de Souza Filho & Iran Eduardo Lima Neto, 2022. "Two-Dimensional Modelling of the Mixing Patterns in a Tropical Semiarid Reservoir," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    5. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.

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