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Biophysical modeling assessment of the drivers for plankton dynamics in dreissenid-colonized western Lake Erie

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  • Jiang, Long
  • Xia, Meng
  • Ludsin, Stuart A.
  • Rutherford, Edward S.
  • Mason, Doran M.
  • Marin Jarrin, Jose
  • Pangle, Kevin L.

Abstract

Given that phytoplankton and zooplankton communities have served as key ecological indicators of anthropogenic and other perturbations, a high-resolution Finite Volume Coastal Ocean Model (FVCOM) based Integrated Compartment Model (FVCOM-ICM) was implemented to investigate plankton dynamics with the inclusion of dreissenid invasion in Lake Erie, particularly in the most productive western basin. After identifying suitable horizontal and vertical resolutions that allowed for accurate depiction of in-lake nutrient concentrations and plankton biomass, we explored how variation in nutrient (phosphorus, nitrogen) loading and dreissenid mussel density could influence plankton dynamics. Our scenario-testing showed that western Lake Erie's phytoplankton community appeared more limited by phosphorus than nitrogen on both seasonal and interannual scales with light limitation occurring in the nearshore and Maumee River plume areas. Dreissenid mussel impacts varied temporally, with phytoplankton communities being highly influenced by dreissenid nutrient excretion at times (under low nutrient availability) and dreissenid grazing at other times (under bloom conditions). It was concluded that the effect of zooplankton predation on phytoplankton was stronger than that of dreissenid mussels, and that multiple algal groups could promote the efficiency of nutrient assimilation and the overall plankton production. Additionally, river inputs and wind-driven water circulation were important by causing heterogeneity in habitat conditions through nutrient advection and vertical mixing, and wind-induced surface waves could result in non-negligible down-wind redistribution of plankton biomass, which increased with wind/wave magnitude.

Suggested Citation

  • Jiang, Long & Xia, Meng & Ludsin, Stuart A. & Rutherford, Edward S. & Mason, Doran M. & Marin Jarrin, Jose & Pangle, Kevin L., 2015. "Biophysical modeling assessment of the drivers for plankton dynamics in dreissenid-colonized western Lake Erie," Ecological Modelling, Elsevier, vol. 308(C), pages 18-33.
    • Handle: RePEc:eee:ecomod:v:308:y:2015:i:c:p:18-33
    DOI: 10.1016/j.ecolmodel.2015.04.004
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    References listed on IDEAS

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    1. Zhang, Hongyan & Culver, David A. & Boegman, Leon, 2008. "A two-dimensional ecological model of Lake Erie: Application to estimate dreissenid impacts on large lake plankton populations," Ecological Modelling, Elsevier, vol. 214(2), pages 219-241.
    2. Grégory Beaugrand & Keith M. Brander & J. Alistair Lindley & Sami Souissi & Philip C. Reid, 2003. "Plankton effect on cod recruitment in the North Sea," Nature, Nature, vol. 426(6967), pages 661-664, December.
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    1. Khangaonkar, Tarang & Nugraha, Adi & Premathilake, Lakshitha & Keister, Julie & Borde, Amy, 2021. "Projections of algae, eelgrass, and zooplankton ecological interactions in the inner Salish Sea – for future climate, and altered oceanic states," Ecological Modelling, Elsevier, vol. 441(C).
    2. Jiang, Long & Xia, Meng, 2017. "Wind effects on the spring phytoplankton dynamics in the middle reach of the Chesapeake Bay," Ecological Modelling, Elsevier, vol. 363(C), pages 68-80.
    3. David Wolf & Sathya Gopalakrishnan & H. Allen Klaiber, 2022. "Staying afloat: The effect of algae contamination on Lake Erie housing prices," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1701-1723, October.
    4. Guo, Qing & Wang, Yi & Dai, Chuanjun & Wang, Lijun & Liu, He & Li, Jianbing & Tiwari, Pankaj Kumar & Zhao, Min, 2023. "Dynamics of a stochastic nutrient–plankton model with regime switching," Ecological Modelling, Elsevier, vol. 477(C).

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