IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v214y2008i2p219-241.html
   My bibliography  Save this article

A two-dimensional ecological model of Lake Erie: Application to estimate dreissenid impacts on large lake plankton populations

Author

Listed:
  • Zhang, Hongyan
  • Culver, David A.
  • Boegman, Leon

Abstract

We constructed a complex ecological model of Lake Erie, EcoLE, based on a two-dimensional hydrodynamic and water quality model (CE-QUAL-W2). We used data from 1997 to calibrate the model, and data from 1998 and 1999 to verify it. The simulated surface and bottom water temperatures show good agreement with field observations. In spite of limitations of this 2D model and data availability, the simulated values of biological and nutrient state variables match well with field measurements. Although EcoLE's performance for the verification years is as good as that of the calibration year, the wide standard deviations of both field measurements and model simulations as well as the complexity of an ecosystem of this size make us consider our model more as a valid analytical tool rather than a predictive one at this moment. Nevertheless, we have constructed the first fine-scale dynamic ecological model of a large lake that couples hydrodynamics and detailed food web of lower trophic levels and is driven by real-time air temperature and wind conditions and the inputs from the atmosphere and tributaries. Using the model we investigate the impacts of zebra mussels (Dreissena polymorpha) and quagga mussels (D. bugensis) on phytoplankton of Lake Erie. The simulation results show that dreissenid grazing impacts on non-diatom edible algae (NDEA) are weakened by the boundary layer above the basin bottom. However, dreissenid grazing impacts on diatoms are less affected by the boundary layer due to the higher sinking rates of diatoms. Dreissenid mussels increase non-diatom inedible algae (NDIA) rapidly with increasing mussel population size, because the dreissenid population excretes a large amount of ammonia and phosphate. Our results indicate that dreissenid mussels have weak direct grazing impacts on algal biomass, while indirect effects of their nutrient excretion have a greater impact on the system.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:219-241
    DOI: 10.1016/j.ecolmodel.2008.02.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380008000781
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2008.02.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Long, Tian-yu & Wu, Lei & Meng, Guo-hu & Guo, Wei-hua, 2011. "Numerical simulation for impacts of hydrodynamic conditions on algae growth in Chongqing Section of Jialing River, China," Ecological Modelling, Elsevier, vol. 222(1), pages 112-119.
    3. Theng, Vouchlay & Sith, Ratino & Uk, Sovannara & Yoshimura, Chihiro, 2023. "Phytoplankton productivity in a tropical lake-floodplain system revealed by a process-based primary production model," Ecological Modelling, Elsevier, vol. 479(C).
    4. Jørgensen, Sven Erik, 2010. "A review of recent developments in lake modelling," Ecological Modelling, Elsevier, vol. 221(4), pages 689-692.
    5. Shen, Chunqi & Liao, Qian & Bootsma, Harvey A., 2020. "Modelling the influence of invasive mussels on phosphorus cycling in Lake Michigan," Ecological Modelling, Elsevier, vol. 416(C).
    6. Zheng, Lianyuan & Weisberg, Robert H., 2010. "Rookery Bay and Naples Bay circulation simulations: Applications to tides and fresh water inflow regulation," Ecological Modelling, Elsevier, vol. 221(7), pages 986-996.
    7. Shimoda, Yuko & Arhonditsis, George B., 2016. "Phytoplankton functional type modelling: Running before we can walk? A critical evaluation of the current state of knowledge," Ecological Modelling, Elsevier, vol. 320(C), pages 29-43.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:219-241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.