CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Center for Tropical Agriculture (CIAT)
    • CIAT Theses Supervised
    • View Item
       
    • CGSpace Home
    • International Center for Tropical Agriculture (CIAT)
    • CIAT Theses Supervised
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Model-Based Assessment of Grazing Impact on Soil Organic Carbon Stocks and Dynamics of a Kenyan Rangeland

    Thumbnail
    View/Open
    Thesis (6.439Mb)
    Authors
    Kuntu-Blankson, Kate
    Date Issued
    2019
    Language
    en
    Type
    Thesis
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Kuntu-Blankson, Kate. (2019). Model-Based Assessment of Grazing Impact on Soil Organic Carbon Stocks and Dynamics of a Kenyan Rangeland. Thesis (MSc. in Sustainable International Agriculture). Georg-August-Universität- Göttingen, Germany. 101 p.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/99479
    Abstract/Description
    As the largest terrestrial ecosystem carbon (C) sink, soils store about 2500 Pg C in the top 1 m depth. Rangelands make up around 40 % of global land surface and contain about 30 % of global terrestrial soil organic carbon (SOC). Grazing is the most important use of rangelands worldwide which when managed properly, can make rangelands potential sequesters of significant amounts of previously lost C. This will not only offset anthropogenic C emissions and contribute to climate change (CC) mitigation but also improve soil quality and productivity to ensure food security in the worlds’ poorest regions. Rangelands in East Africa cover 75 % of the total land area, but despite the importance outlined, little scientific studies have been carried out to quantify the effects of grazing management on SOC sequestration potentials and there exists a knowledge gap. The heterogeneous nature of rangelands worldwide makes it impossible to generalize grazing management recommendations across different regions as same studies have produced different results in comparable places. We aimed to investigate the long-term effect (30 years) of four grazing regimes on three selected sites under mid-future CC scenarios of the Representative Concentration Pathways (RCPs) 4.5 and 8.5 on SOC stocks of a rangeland in Southern Kenya. Heavy (HG) lead to SOC losses in all sites with the most loss of 206 kg C ha-1 observed on one sandy site “sand_light”. Moderate grazing (MG) increased SOC stocks in all three sites, the highest of 141 kg C ha-1 occurred at our clay site “clay_heavy”. RG (yearly rotation) and ALT (monthly rotation) caused SOC to increase only for the clay_heavy site. We observed small reductions in SOC stocks from the baseline scenario with a more negative impact of RCP4.5 than RCP8.5 but the observed differences were not dramatically different. The possible reasons for higher SOC stocks under RCP8.5 could be attributed to higher primary productivity of the C4 grassland under elevated CO2 and also more production of lignified plant materials that are less decomposable. We conclude that grazing management and soil texture will be the major factors controlling SOC stocks dynamics in the future as major differences was observed under those than under the CC scenarios.
    Other CGIAR Affiliations
    Livestock
    AGROVOC Keywords
    climate change; cambio climático; grazing systems; sistemas de pastoreo; soil
    Subjects
    TROPICAL FORAGES;
    Countries
    Kenya
    Regions
    Africa; Eastern Africa
    Organizations Affiliated to the Authors
    International Center for Tropical Agriculture
    Collections
    • CIAT Theses Supervised [140]
    • CRP Livestock and the environment flagship [205]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback