IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v510y2025ics030438002500300x.html

Modeling the growth dynamics of Phragmites australis with flooding stress in the Middle Yangtze River

Author

Listed:
  • Xia, Junqiang
  • Shi, Xi
  • Zhou, Meirong
  • Liu, Shengqi
  • Deng, Shanshan

Abstract

Phragmites australis is a common emergent plant in wetland ecosystems, and its growth process is closely related to various flooding conditions. A growth model was improved by incorporating the effects of water depth and inundation duration on P. australis growth. This model can simulate the growth processes of P. australis under different water depths and inundation durations, with validation results aligning well with measured data. Then the model was subsequently applied to simulate the growth process of P. australis on a typical floodplain of the Middle Yangtze River in 2019-2022. The results show that the aboveground biomass of P. australis decreased sharply due to the effect of flooding stress (with an inundation duration of 123 days and a maximum water depth of 5.64 m), resulting in a decline of 2176 g·m-2 in biomass in 2020. The biomass reduction caused by flooding stress increased more rapidly with greater water depth and longer inundation duration. Therefore, the effect of flooding stress should not be ignored. In addition, good power function relationships were developed between the aboveground biomass reduction of P. australis and the number of inundation days or the days with water depth exceeding 2.0 m. The factor of flooding stress caused by water depth exceeding the inundation threshold played a dominant role in the growth dynamics of Phragmites australis.

Suggested Citation

  • Xia, Junqiang & Shi, Xi & Zhou, Meirong & Liu, Shengqi & Deng, Shanshan, 2025. "Modeling the growth dynamics of Phragmites australis with flooding stress in the Middle Yangtze River," Ecological Modelling, Elsevier, vol. 510(C).
  • Handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s030438002500300x
    DOI: 10.1016/j.ecolmodel.2025.111314
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002500300X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2025.111314?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:510:y:2025:i:c:s030438002500300x. 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.