IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v177y2016icp118-127.html
   My bibliography  Save this article

Assessing the time stability of soil moisture patterns using statistical and geostatistical approaches

Author

Listed:
  • Landrum, Carla
  • Castrignanó, Annamaria
  • Zourarakis, Demetrio
  • Mueller, Tom

Abstract

Understanding the variation of soil moisture patterns over time can support field investigative efforts specific to managing irrigation input, environmental risk assessment, or water resource planning. The objective of this study was to apply an integrated suite of traditional (e.g. Vachaud’s time stability analysis) and less common techniques (e.g. confusion matrix, Castrignanò’s average of the differences, cross correlogram analysis, and polygon kriging) to gain deeper insight into the temporal persistence of soil moisture patterns, especially for site-specific water management purposes. This study used soil moisture estimates generated in previous work that was carried out in a field in Central Kentucky for three dates ranging from permanent wilting point up to field capacity. The results obtained from this study provide richer evidence of time stable soil moisture patterns and lend greater insight into the controlling factors of spatial and temporal variation, including soil moisture status, soil physicochemical properties, and landscape position, that otherwise would not be attainable using a single metric alone.

Suggested Citation

  • Landrum, Carla & Castrignanó, Annamaria & Zourarakis, Demetrio & Mueller, Tom, 2016. "Assessing the time stability of soil moisture patterns using statistical and geostatistical approaches," Agricultural Water Management, Elsevier, vol. 177(C), pages 118-127.
    • Handle: RePEc:eee:agiwat:v:177:y:2016:i:c:p:118-127
    DOI: 10.1016/j.agwat.2016.07.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377416302591
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2016.07.013?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.

    References listed on IDEAS

    as
    1. Landrum, Carla & Castrignanò, Annamaria & Mueller, Tom & Zourarakis, Demetrio & Zhu, Junfeng & De Benedetto, Daniela, 2015. "An approach for delineating homogeneous within-field zones using proximal sensing and multivariate geostatistics," Agricultural Water Management, Elsevier, vol. 147(C), pages 144-153.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hodges, Blade & Tagert, Mary Love & Paz, Joel O. & Meng, Qingmin, 2023. "Assessing in-field soil moisture variability in the active root zone using granular matrix sensors," Agricultural Water Management, Elsevier, vol. 282(C).

    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:agiwat:v:177:y:2016:i:c:p:118-127. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.elsevier.com/locate/agwat .

    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.