UBRISA

View Item 
  •   Ubrisa Home
  • Okavango Research Institute (ORI)
  • Research articles (ORI)
  • View Item
  •   Ubrisa Home
  • Okavango Research Institute (ORI)
  • Research articles (ORI)
  • View Item
    • Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Influence of flooding variation on Molapo farming field size in the Okavango Delta, Botswana

    Thumbnail
    View/Open
    Main article (923.0Kb)
    Date
    2014-02
    Author
    Molefe, C.
    Cassidy, L.
    Chimbari, M.
    Magole, L.
    Publisher
    International Journal of Agricultural Research and Review; http://www.springjournals.net/ijarr
    Link
    http://www.springjournals.net/full-articles/springjournals.net.pdf?view=inline
    Rights holder
    The authors
    Type
    Published Article
    Metadata
    Show full item record
    Abstract
    In the Okavango Delta of Botswana, flood recession farming (molapo farming) contributes substantially to rural livelihoods by providing better yields than rain-fed dry land farming. However, molapo farming communities experience challenges associated with the unpredictability and unreliability of flooding that are paradoxically part of the dynamism essential for the farming practice. This makes it difficult for farmers to decide on when to plough and plant. These challenges might have contributed to a reduction in the number of farmers practicing molapo farming. It is not clear if there is corresponding change in the spatial extent of the practice and if such a change may be related to variation in annual flood extent. We investigated the association between maximum inundated area and the size of molapo fields in three rural communities – Tubu, Shorobe and Xobe. Three time-steps representing different hydro-climatic phases (medium phase 1989-1991, dry phase 2000-2003, wet phase 2008-2011) constituted the study period. We used a geographic information system (GIS) and remote sensing approach to show flooding variability and changes in area under molapo farming over time under different flooding conditions in the Okavango Delta. Molapo fields were mapped using GIS and a global positioning system (GPS). The area under molapo farming for the time-steps 1989-1991 and 2000-2003 were calculated from aerial photographs. For the base time-step 2010, corners of the fenced fields were marked with a GPS receiver, from which polygons were generated. Using Landsat imagery we determined maximum flood extent by working with a combination of Tasseled Cap Analyses and spectral band thresholds to create wet-dry classifications. In each of the study sites, there was considerable variation over time in the location, size and distribution of molapo fields, as well as in the total area occupied. Importantly, the response was different for each of the three study sites. Shorobe showed the most dramatic decrease in the 2010/11 time-step, which represents a high water phase, while Tubu had a decrease in 2002/3 (low water phase) with strong resurgence in the area farmed in the subsequent high water phase (2010/11). Because Xobe’s fields are restricted by steep banks there was less variation in area farmed, but otherwise this community’s farming patterns appear to reflect those of Shorobe. The main reason for the decrease in hectarage in Shorobe and Xobe during the high flood phase is that much of the potential farming areas remained inundated for the entire farming season due to heavy and extended floods. Thus, the decline in molapo farming in the short term may in fact be attributed to the changing hydrology of the Delta.
    URI
    http://hdl.handle.net/10311/1884
    Collections
    • Research articles (ORI) [229]

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of UBRISA > Communities & Collections > By Issue Date > Authors > Titles > SubjectsThis Collection > By Issue Date > Authors > Titles > Subjects

    My Account

    > Login > Register

    Statistics

    > Most Popular Items > Statistics by Country > Most Popular Authors