• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Theses
    • Theses - Higher Degree by Research
    • View Item
    • Home
    • Griffith Theses
    • Theses - Higher Degree by Research
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Nutrient Dynamics of Coastal Phytoplankton: The Role of Episodic Flow Events and Chronic Sewage Discharges

    Thumbnail
    View/Open
    Saeck_2012_02Thesis.pdf (5.273Mb)
    Author(s)
    Saeck, Emily
    Primary Supervisor
    Burford, Michele
    Other Supervisors
    Bunn, Stuart
    O'Brien, Kate
    Year published
    2012
    Metadata
    Show full item record
    Abstract
    Nutrient enrichment of coastal zones can lead to longer phytoplankton bloom seasons, shifts in phytoplankton community composition and a higher frequency of harmful algal bloom events (HABs). Predicting the effect of nutrient enrichment on any given coastal system is challenging, as the response is mediated by the physical and biological characteristics of the system and the way in which nutrients are delivered to the system. For example, in tropical and sub-tropical regions, the majority of annual nutrient loads are delivered via episodic high-flow events during the wet season. These events stimulate phytoplankton growth ...
    View more >
    Nutrient enrichment of coastal zones can lead to longer phytoplankton bloom seasons, shifts in phytoplankton community composition and a higher frequency of harmful algal bloom events (HABs). Predicting the effect of nutrient enrichment on any given coastal system is challenging, as the response is mediated by the physical and biological characteristics of the system and the way in which nutrients are delivered to the system. For example, in tropical and sub-tropical regions, the majority of annual nutrient loads are delivered via episodic high-flow events during the wet season. These events stimulate phytoplankton growth and are known to represent an important driver of coastal productivity. However, in populated coastal settings other nutrient inputs from point sources, such as sewage treatment plants (STP), are typically delivered as a relatively constant discharge. While chronic STP nutrient loading may be relatively low compared to flow event inputs, their continuous delivery throughout the year may represent a significant source of nutrients for phytoplankton growth, particularly during the dry seasons. These different sources of nutrients, and the spatial and temporal characteristics of their delivery to receiving waters, likely influence the responses of phytoplankton communities.
    View less >
    Thesis Type
    Thesis (PhD Doctorate)
    Degree Program
    Doctor of Philosophy (PhD)
    School
    Griffith School of Environment
    DOI
    https://doi.org/10.25904/1912/2945
    Copyright Statement
    The author owns the copyright in this thesis, unless stated otherwise.
    Item Access Status
    Public
    Subject
    Coastal phytoplankton
    Sewage discharge
    Algal bloom events
    Publication URI
    http://hdl.handle.net/10072/367866
    Collection
    • Theses - Higher Degree by Research

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander