CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Forests, Trees and Agroforestry
    • FTA outputs
    • View Item
       
    • CGSpace Home
    • CGIAR Research Programs and Platforms (2012-2021)
    • CGIAR Research Program on Forests, Trees and Agroforestry
    • FTA outputs
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mapping tree species distribution in support of China's integrated tree-livestock-crop system

    Thumbnail
    Authors
    Ranjitkar, S.
    Bu, D.P.
    Sujakhu, N.M.
    Gilbert, M.
    Robinson, Timothy P.
    Kindt, R.
    Xu, J.C.
    Date Issued
    2021
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Ranjitkar, S., Bu, D., Sujakhu, N.M., Gilbert, M., Robinson, T.P., Kindt, R. and Xu, J., 2021. Mapping tree species distribution in support of China's integrated tree-livestock-crop system. Circular Agricultural Systems, 1(1): 2. https://doi.org/10.48130/CAS-2021-0002
    Permanent link to cite or share this item: https://hdl.handle.net/10568/113377
    External link to download this item: http://www.maxapress.com/article/doi/10.48130/CAS-2021-0002
    DOI: https://doi.org/10.48130/CAS-2021-0002
    Abstract/Description
    The primary challenge of the contemporary world is to meet accelerating requirements for food. Limited land, competition between crop and livestock farming and climate change are major challenges. Agroforestry offer a form of sustainable agriculture through the direct provision of food by raising farmers’ incomes and through various ecosystem services. The first essential step in adopting agroforestry is the selection of appropriate tree species that fit local climates. In this paper, we mapped 20 fodder trees and important crops in China using the multi-model ensemble and Ecocrop modelling approach. Relying on the intersectional concept of set theory, the fuzzy logic technique was applied to identify regions where candidate trees could be grown with appropriate crops and livestock. The resulting models provide important insights into the climatic suitability of trees and crops and offer knowledge critical to the proper integration of trees with crops and livestock at specific locations. The results offer support for developing appropriate strategies regarding potential land-use within agroforestry systems in order to maximize ecosystem services and the benefits of sustainable agriculture. Model outputs could easily convert into conventional maps with clearly defined boundaries for site-specific planning for tree-crop-livestock integration. The next step for actualizing an integrated system is to investigate specifically what these different species may contribute to the existing farming systems, quantify the benefits and estimate any possible trade-offs.
    CGIAR Author ORCID iDs
    Timothy Robinsonhttps://orcid.org/0000-0002-4266-963X
    Other CGIAR Affiliations
    Forests, Trees and Agroforestry
    AGROVOC Keywords
    agroforestry; fuzzy logic; livestock
    Countries
    China
    Regions
    Eastern Asia
    Organizations Affiliated to the Authors
    World Agroforestry Centre; Kunming Institute of Botany, China; N.Gene Solution of Natural Innovation Pvt. Ltd.; Mid-Western University Nepal; Chinese Academy of Agricultural Sciences; Hunan Co-Innovation Center of Animal Production Safety, China; Yunnan University; Université Libre de Bruxelles; Food and Agriculture Organization of the United Nations
    Collections
    • FTA outputs [1739]

    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