IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v308y2015icp18-33.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015001349
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.04.004?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.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. 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.
    2. 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).
    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. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mackinson, S. & Daskalov, G. & Heymans, J.J. & Neira, S. & Arancibia, H. & Zetina-Rejón, M. & Jiang, H. & Cheng, H.Q. & Coll, M. & Arreguin-Sanchez, F. & Keeble, K. & Shannon, L., 2009. "Which forcing factors fit? Using ecosystem models to investigate the relative influence of fishing and changes in primary productivity on the dynamics of marine ecosystems," Ecological Modelling, Elsevier, vol. 220(21), pages 2972-2987.
    2. Gurkan, Zeren & Christensen, Asbjørn & Maar, Marie & Møller, Eva Friis & Madsen, Kristine Skovgaard & Munk, Peter & Mosegaard, Henrik, 2013. "Spatio-temporal dynamics of growth and survival of Lesser Sandeel early life-stages in the North Sea: Predictions from a coupled individual-based and hydrodynamic–biogeochemical model," Ecological Modelling, Elsevier, vol. 250(C), pages 294-306.
    3. 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.
    4. Buchheister, Andre & Wilberg, Michael J. & Miller, Thomas J. & Latour, Robert J., 2015. "Simulating bottom-up effects on predator productivity and consequences for the rebuilding timeline of a depleted population," Ecological Modelling, Elsevier, vol. 311(C), pages 48-62.
    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. Gurkan, Zeren & Christensen, Asbjørn & van Deurs, Mikael & Mosegaard, Henrik, 2012. "Growth and survival of larval and early juvenile Lesser Sandeel in patchy prey field in the North Sea: An examination using individual-based modeling," Ecological Modelling, Elsevier, vol. 232(C), pages 78-90.
    8. Williams, Meryl J., 2004. "World Fish Supplies, Outlook and Food Security," 2004: Fish, Aquaculture and Food Security: Sustaining Fish as a Food Supply, 11 August 2004 124062, Crawford Fund.
    9. Jørgensen, Sven Erik, 2010. "A review of recent developments in lake modelling," Ecological Modelling, Elsevier, vol. 221(4), pages 689-692.
    10. Lavenia Ratnarajah & Rana Abu-Alhaija & Angus Atkinson & Sonia Batten & Nicholas J. Bax & Kim S. Bernard & Gabrielle Canonico & Astrid Cornils & Jason D. Everett & Maria Grigoratou & Nurul Huda Ahmad , 2023. "Monitoring and modelling marine zooplankton in a changing climate," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    11. 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).
    12. 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.
    13. Werner, Francisco E. & Ito, Shin-Ichi & Megrey, Bernard A. & Kishi, Michio J., 2007. "Synthesis of the NEMURO model studies and future directions of marine ecosystem modeling," Ecological Modelling, Elsevier, vol. 202(1), pages 211-223.
    14. Cabral, Reniel B. & Aliño, Porfirio M. & Lim, May T., 2013. "A coupled stock-recruitment-age-structured model of the North Sea cod under the influence of depensation," Ecological Modelling, Elsevier, vol. 253(C), pages 1-8.
    15. Mikaël Jaffré & Grégory Beaugrand & Éric Goberville & Frédéric Jiguet & Nils Kjellén & Gerard Troost & Philippe J Dubois & Alain Leprêtre & Christophe Luczak, 2013. "Long-Term Phenological Shifts in Raptor Migration and Climate," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.

    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:308:y:2015:i:c:p:18-33. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.