Simulation of the vegetation state and flow regime interaction in the Macquarie Marshes

S. G. Sandi, J. F. Rodriguez, P. M. Saco, L. Wen, N. Saintilan

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    1 Citation (Scopus)


    The Macquarie Marshes is a complex wetland system located in the lower floodplain of the Macquarie River in semiarid Australia. This paper is focused on the northern end of the Macquarie Marshes, where some areas have undergone a complete succession from permanent and semi-permanent wetland to terrestrial species and dryland. This is mainly due to high regulation of input discharges that have modified the hydraulic regime. Estimating discharges that can guarantee preservation and maintenance of the ecological features of the Macquarie Marshes requires the implementation of models that can predict the state of the vegetation and its response to watering conditions. In this publication we use results from a quasi-2D hydrodynamic model (VMMHH 1.0) in order to assess the implementation of simple deterministic transitional rules for analyzing the interaction between the flow regime and the vegetation over an extended discharge series.

    Original languageEnglish
    Title of host publicationRiver Flow 2016
    Subtitle of host publicationProceedings of the International Conference on Fluvial Hydraulics
    EditorsGeorge Constantinescu, Marcelo Garcia, Dan Hanes
    Place of PublicationLeiden, Netherlands
    PublisherCRC Press/Balkema
    Number of pages7
    ISBN (Print)9781138029132
    Publication statusPublished - 2016
    EventInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016 - St. Louis, United States
    Duration: 11 Jul 201614 Jul 2016


    OtherInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016
    CountryUnited States
    CitySt. Louis

    Fingerprint Dive into the research topics of 'Simulation of the vegetation state and flow regime interaction in the Macquarie Marshes'. Together they form a unique fingerprint.

    Cite this