Patterns and Drivers of Agricultural Biodiversity in South Asia: A preliminary overview of a regional dataset

dc.creatorKamal, M.
dc.creatorFaisal, A.
dc.creatorKafle, K.
dc.creatorKarki, S.
dc.creatorKrupnik, T.J.
dc.creatorUrfels, A.
dc.date2023-05-09T20:30:12Z
dc.date2023-05-09T20:30:12Z
dc.date2022
dc.date.accessioned2023-07-17T20:10:36Z
dc.date.available2023-07-17T20:10:36Z
dc.identifierhttps://hdl.handle.net/10883/22605
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514348
dc.descriptionFood systems face multifaceted challenges ranging from inadequate supply of nutritious food products to a range of negative environmental impacts (Fable et al., 202; Rockstöm et al., 2020; Willet et al., 2019). Fuctional agricultural bidiversity has emerged as an important consideration that, if carefully managed, could help to improved food system outcomes through several pathways including production risk miigation, increased and diversified incomes and livelihoods, and potentially as a contributor to healthier diets (Gaitán-Cremaschi et al., 2018; Klerkx & Rose 2020). However, large-scale regional patterns and drivers of agricultural biodiversity in South Asia remain largely underexplored. To address this gap, TAFFSA is producing a regional agricultural biodiversity database that will support researchers and policy markers in better understanding diversification in the food system and the relationships between agrobiodiversity and key food system outcomes. The current dataset contains regional district-level production data from 2019-2022, depending on availability, and includes a dietary groupings of food groups. Preliminary results show that cereals are by far the largest food category, but also highlight spatial variation in the diversity of food production. Bangladesh, Pakistan, Northen and Eastern India, and Nepal appear to be more diverse and dedicate larger shares of cultivated land to cereals than Western and Central India. After fully harmonizing the data sources,this dataset will help to identify hotspots of agobiodiversity including diagnostics and drivers of diversification that can inform sustainable food system transitions.
dc.description7 pages
dc.languageEnglish
dc.publisherCIMMYT
dc.relationNutrition, health & food security
dc.relationTransforming Agrifood Systems in South Asia
dc.relationResilient Agrifood Systems
dc.relationCGIAR Trust Fund
dc.relationhttps://hdl.handle.net/10568/130332
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectNutritious Food Products
dc.subjectAgricultural Biodiversity
dc.subjectAgricultural Datasets
dc.subjectAGROBIODIVERSITY
dc.subjectFOOD SYSTEMS
dc.subjectDATA
dc.subjectCROP PRODUCTION
dc.subjectSustainable Agrifood Systems
dc.titlePatterns and Drivers of Agricultural Biodiversity in South Asia: A preliminary overview of a regional dataset
dc.typeBrochure
dc.typePublished Version
dc.coverageSouth Asia
dc.coverageBangladesh


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