IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i14p1459-d1696872.html
   My bibliography  Save this article

Rainfall-Driven Nitrogen Dynamics in Catchment Ponds: Comparing Forest, Paddy Field, and Orchard Systems

Author

Listed:
  • Mengdie Jiang

    (Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education, College of Agriculture, Yangtze University, Jingzhou 434025, China)

  • Yue Luo

    (College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)

  • Hengbin Xiao

    (School of Ecology, Sun Yat-Sen University, Shenzhen 518107, China)

  • Peng Xu

    (Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education, College of Agriculture, Yangtze University, Jingzhou 434025, China)

  • Ronggui Hu

    (College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)

  • Ronglin Su

    (College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

The event scale method, employed for assessing changes in nitrogen (N) dynamics pre- and post-rain, provides insights into its transport to surface water systems. However, the relationships between N discharge in catchments dominated by different land uses and water quality remain unclear. This study quantified variations in key N components in ponds across forest, paddy field, and orchard catchments before and after six rainfall events. The results showed that nitrate (NO 3 − -N) was the main N component in the ponds. Post-rainfall, N concentrations increased, with ammonium (NH 4 + -N) and particulate nitrogen (PN) exhibiting significant elevations in agricultural ponds. Orchard catchments contributed the highest N load to the ponds, while forest catchments contributed the lowest. Following a heavy rainstorm event, total nitrogen (TN) loads in the ponds within forest, paddy field, and orchard catchments reached 6.68, 20.93, and 34.62 kg/ha, respectively. These loads were approximately three times higher than those observed after heavy rain events. The partial least squares structural equation model (PLS-SEM) identified that rainfall amount and changes in water volume were the dominant factors influencing N dynamics. Furthermore, the greater slopes of forest and orchard catchments promoted more N loss to the ponds post-rain. In paddy field catchments, larger catchment areas were associated with decreased N flux into the ponds, while larger pond surface areas minimized the variability in N concentration after rainfall events. In orchard catchment ponds, pond area was positively correlated with N concentrations and loads. This study elucidates the effects of rainfall characteristics and catchment heterogeneity on N dynamics in surface waters, offering valuable insights for developing pollution management strategies to mitigate rainfall-induced alterations.

Suggested Citation

  • Mengdie Jiang & Yue Luo & Hengbin Xiao & Peng Xu & Ronggui Hu & Ronglin Su, 2025. "Rainfall-Driven Nitrogen Dynamics in Catchment Ponds: Comparing Forest, Paddy Field, and Orchard Systems," Agriculture, MDPI, vol. 15(14), pages 1-15, July.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:14:p:1459-:d:1696872
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/14/1459/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/14/1459/
    Download Restriction: no
    ---><---

    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:gam:jagris:v:15:y:2025:i:14:p:1459-:d:1696872. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.