• Contact Us
    • Send Feedback
    • Login
    View Item 
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    Whole Repository
    CollectionsIssue DateRegionCountryHubAffiliationAuthorsTitlesSubject
    This Sub-collection
    Issue DateRegionCountryHubAffiliationAuthorsTitlesSubject

    My Account

    Login

    Welcome to the International Institute of Tropical Agriculture Research Repository

    What would you like to view today?

    Quantified soil evolution under shifting agriculture in southern Cameroon

    Thumbnail
    View/Open
    U19ArtYemefackQuantifiedInthomDev.pdf (1.978Mb)
    Date
    2019-02-28
    Author
    Yemefack, M.
    Njomgang, R.
    Rossiter, D.G.
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
    Show full item record
    Abstract/Description
    In the tropical rain forest zone of Southern Cameroon, shifting cultivation and perennial plantations of cocoa are the main farming systems practiced by small-scale farmers to ensure subsistence food crop production and a small income. This research used scientific modeling tools to produce quantitative information on the evolution of soils under this shifting agricultural system. An analysis of farming system led to the development of a conceptual model of the spatio-temporal dynamics of shifting agriculture, including transition matrices of rotational cycles that guided the sampling strategy for the study of soil evolution under the system. The study of soil variability showed that 30–35% of the total variance of some topsoil (0–20 cm) properties was due to the influence of land use practices. Five soil properties (pH, calcium, available phosphorus, bulk density and organic carbon) that are the most sensitive to these agricultural practices were empirically modeled and linear/quadratic fractional rational functions were successfully fitted to time series soil variables to derive quantitative measures on temporal changes in soil with land use. Data and methods produced are useful for soil quality assessment and spatio-temporal dynamic simulation in order to guide decision-making for sustainable land-use planning and soil resources management.
    https://dx.doi.org/10.3389/fenvs.2019.00016
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/5254
    Non-IITA Authors ORCID
    Martin YEMEFACKhttps://orcid.org/0000-0002-6709-8503
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.3389/fenvs.2019.00016
    IITA Subjects
    Farming Systems; Smallholder Farmers; Soil Fertility; Soil Health; Soil Information
    Agrovoc Terms
    Soil Properties; Dynamics; Soil; Evolution; Soil Dynamics; Shifting; Agriculture; Tropical Rain Forest; Cameroon
    Regions
    Africa; West Africa
    Countries
    Cameroon
    Journals
    Frontiers in Environmental Science
    Collections
    • Journal and Journal Articles4835
    copyright © 2019  IITASpace. All rights reserved.
    IITA | Open Access Repository