CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)
    • CCAFS Briefs
    • View Item
       
    • CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)
    • CCAFS Briefs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Climate-Smart Agriculture (CSA) in Kenya: Opportunities and Recommendations for County Governments

    Thumbnail
    View/Open
    Policy brief (1.896Mb)
    Authors
    Cramer, Laura
    Osumba, Joab J.L.
    Herren, Martin
    Rapando, Nancy
    Mwongera, Caroline
    Melkamu, Meaza
    Muchai, Daphne
    Ndetu, Veronica
    Kimoro, Bernard
    Date Issued
    2020-12
    Language
    en
    Type
    Brief
    Accessibility
    Open Access
    Usage rights
    Other
    Metadata
    Show full item record
    Share
    
    Citation
    Cramer L, Osumba J, Herren M, Rapando N, Mwongera C, Melkamu M, Muchai D, Ndetu V, Kimoro B. 2020. Climate-Smart Agriculture (CSA) in Kenya: Opportunities and Recommendations for County Governments. Nairobi, Kenya: Ministry of Agriculture, Livestock, Fisheries and Cooperatives, Kenya.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/111173
    Abstract/Description
    The agriculture sector is the largest contributor to Kenya’s economy and includes crop and livestock production, agroforestry, fisheries and aquaculture, agro-processing, trade, and all associated services. Due to its reliance on rain and natural weather patterns, however, this key sector is vulnerable to climate shocks and long-term changes, which already are increasing pressure on Kenya’s food security. Over the years, natural hazards from extreme weather events in the form of droughts and flooding have increased, both in frequency and magnitude of damage. Within the arid and semi-arid areas, which depend mainly on livestock-based livelihoods, communities have become especially vulnerable to recurrent droughts. Additionally, unpredictable rainfall variability across the country makes it difficult for crop farmers to plan their production activities. Economic losses from climatic events in Kenya are projected to be 3% of the country’s GDP in 2030 and up to 5% in 2050 respectively, if impacts by climate change in Kenya are not addressed effectively (Government of Kenya, 2018).
    CGIAR Author ORCID iDs
    Laura Cramerhttps://orcid.org/0000-0003-1559-3497
    Joab Osumbahttps://orcid.org/0000-0002-1728-9176
    Nancy Rapandohttps://orcid.org/0000-0003-3536-4499
    Caroline Mwongerahttps://orcid.org/0000-0002-4866-9526
    Other CGIAR Affiliations
    Climate Change, Agriculture and Food Security
    AGROVOC Keywords
    climate change; agriculture; food security; government; climate-smart agriculture; stakeholders
    Subjects
    PRIORITIES AND POLICIES FOR CSA;
    Countries
    Kenya
    Regions
    Africa; Eastern Africa
    Organizations Affiliated to the Authors
    CGIAR Research Program on Climate Change, Agriculture and Food Security; International Livestock Research Institute; Biovision Foundation; Alliance of Bioversity International and CIAT; African Conservation Tillage Network; Women Farmers Association of Kenya; Ministry of Agriculture, Livestock, Fisheries and Co-operatives, Kenya
    Related material
    Related reference: https://csa-msp.kilimo.go.ke/wp-content/uploads/2020/11/Kenya-CSA-County-Policy-Brief-2020.pdf
    Collections
    • Alliance Bioversity CIAT Policy and Research Briefs [391]
    • Alliance Research Lever 3: Climate Action [639]
    • CCAFS Briefs [710]

    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