IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v227y2012icp147-161.html
   My bibliography  Save this article

Modeling of plankton community dynamics characterized by algal toxicity and allelopathy: A focus on historical Prymnesium parvum blooms in a Texas reservoir

Author

Listed:
  • Grover, James P.
  • Roelke, Daniel L.
  • Brooks, Bryan W.

Abstract

A model is formulated to explore the dynamics of the harmful alga Prymnesium parvum, in a reservoir typical of those in the south-central U.S. where fish-killing blooms of this species frequently occur. Based on a previous model of growth in a well-mixed system, P. parvum competes for nutrients with cyanobacteria, which also excrete allelopathic cyanotoxin(s) that inhibit the growth of P. parvum. A new feature added here is a population of small-bodied zooplankton grazing on both types of algae, with the grazing rate on P. parvum inhibited by dissolved toxin(s) excreted by this species. In contrast to previous models that did not produce convincing calibrations, the new model is successfully calibrated using one year of forcing data on hydraulic flow, water temperature, salinity and nutrient supply from Lake Granbury, Texas. The calibrated model successfully reproduces the seasonal dynamics of P. parvum. Both allelopathy from cyanobacteria and toxic inhibition of grazers are necessary for fitting the calibration data, and produce dynamics in which blooms of P. parvum occur at low temperatures, below those optimal for growth. Long-term historical simulations of the new, calibrated model predict the observed occurrence of P. parvum blooms in cool weather, and suggest that low water flows during the late 1980s and early 2000s predisposed reservoirs to having such blooms. Respectively, these time periods correspond to the first known fish kills due to P. parvum in Texas, and to a series of annually recurrent blooms in several reservoirs.

Suggested Citation

  • Grover, James P. & Roelke, Daniel L. & Brooks, Bryan W., 2012. "Modeling of plankton community dynamics characterized by algal toxicity and allelopathy: A focus on historical Prymnesium parvum blooms in a Texas reservoir," Ecological Modelling, Elsevier, vol. 227(C), pages 147-161.
  • Handle: RePEc:eee:ecomod:v:227:y:2012:i:c:p:147-161
    DOI: 10.1016/j.ecolmodel.2011.12.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011006004
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.12.012?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. Pal, S. & Chatterjee, Samrat & Das, Krishna pada & Chattopadhyay, J., 2009. "Role of competition in phytoplankton population for the occurrence and control of plankton bloom in the presence of environmental fluctuations," Ecological Modelling, Elsevier, vol. 220(2), pages 96-110.
    2. Chakraborty, Subhendu & Roy, Shovonlal & Chattopadhyay, J., 2008. "Nutrient-limited toxin production and the dynamics of two phytoplankton in culture media: A mathematical model," Ecological Modelling, Elsevier, vol. 213(2), pages 191-201.
    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. Xu, Yanhong & Peng, Hong & Yang, Yinqun & Zhang, Wanshun & Wang, Shuangling, 2014. "A cumulative eutrophication risk evaluation method based on a bioaccumulation model," Ecological Modelling, Elsevier, vol. 289(C), pages 77-85.
    2. 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.

    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. Shi, Renxiang & Yu, Jiang, 2017. "Hopf bifurcation analysis of two zooplankton-phytoplankton model with two delays," Chaos, Solitons & Fractals, Elsevier, vol. 100(C), pages 62-73.
    2. Mondal, Chirodeep & Kesh, Dipak & Mukherjee, Debasis, 2023. "Global stability and bifurcation analysis of an infochemical induced three species discrete-time phytoplankton–zooplankton model," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    3. Raw, Sharada Nandan & Sahu, Sevak Ram, 2023. "Strong stability with impact of maturation delay and diffusion on a toxin producing phytoplankton–zooplankton model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 547-570.
    4. Ghorai, Santu & Poria, Swarup, 2016. "Pattern formation and control of spatiotemporal chaos in a reaction diffusion prey–predator system supplying additional food," Chaos, Solitons & Fractals, Elsevier, vol. 85(C), pages 57-67.
    5. Soukaina, Ben Rhila & Imane, Agmour & Mostafa, Rachik & Naceur, Achtaich & Youssef, El Foutayeni, 2022. "Optimal control of a phytoplankton-zooplankton spatiotemporal discrete bioeconomic model," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    6. Zheng, Yanlin & Gong, Xiang & Gao, Huiwang, 2022. "Selective grazing of zooplankton on phytoplankton defines rapid algal succession and blooms in oceans," Ecological Modelling, Elsevier, vol. 468(C).
    7. Animesh Mahata & Sankar Prasad Mondal & Banamali Roy & Shariful Alam, 2021. "Study of two species prey-predator model in imprecise environment with MSY policy under different harvesting scenario," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14908-14932, October.
    8. Zhang, Jia-Fang & Wang, Shaoli & Kong, Xiangjun, 2018. "Effects of toxin delay on the dynamics of a phytoplankton–zooplankton model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1150-1162.
    9. Kejun Zhuang & Gao Jia & Dezhi Liu, 2019. "Stability and Hopf Bifurcation in a Three-Component Planktonic Model with Spatial Diffusion and Time Delay," Complexity, Hindawi, vol. 2019, pages 1-17, July.

    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:227:y:2012:i:c:p:147-161. 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.