IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v321y2016icp75-83.html
   My bibliography  Save this article

Physical control of phytoplankton bloom development in the coastal waters of Jiangsu (China)

Author

Listed:
  • Niu, Lixia
  • van Gelder, P.H.A.J.M.
  • Zhang, Changkuan
  • Guan, Yiqing
  • Vrijling, J.K.

Abstract

A large amount of phytoplankton blooms have occurred in the Jiangsu coastal waters since 2000. The trigger of the phytoplankton blooms responds to environmental factors. The present study aims to investigate the phytoplankton bloom development from the physical properties. To stress the significance of the phytoplankton, a vertical phytoplankton model is developed, coupling the characteristics of phytoplankton dynamics with a physical model. Combining with the analyses of the Delft3D model, the vertical phytoplankton model is well applied to the Jiangsu coastal waters. Significant correlations are established between chlorophyll a and phytoplankton biomass. The vertical stability threshold is strongly related to the specific growth rate, the loss rate and the euphotic depth, and critical depth is closely linked with light availability. The vertical stability provides a favourable living condition for the phytoplankton, while the shallower mixed layer depth promotes the accumulation of phytoplankton density in the water volume. All the observed blooms falling within the predictions demonstrate that the physical limitation can produce reliable blooms. The findings of this study contribute much to the understanding of the coastal ecosystem and the coastal management.

Suggested Citation

  • Niu, Lixia & van Gelder, P.H.A.J.M. & Zhang, Changkuan & Guan, Yiqing & Vrijling, J.K., 2016. "Physical control of phytoplankton bloom development in the coastal waters of Jiangsu (China)," Ecological Modelling, Elsevier, vol. 321(C), pages 75-83.
    • Handle: RePEc:eee:ecomod:v:321:y:2016:i:c:p:75-83
    DOI: 10.1016/j.ecolmodel.2015.10.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015004664
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.10.008?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. Yuanlin Ma & Xingwang Yu, 2022. "Stationary Probability Density Analysis for the Randomly Forced Phytoplankton–Zooplankton Model with Correlated Colored Noises," Mathematics, MDPI, vol. 10(14), pages 1-11, 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:321:y:2016:i:c:p:75-83. 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.