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Integrating Agro-Ecological Approaches to Increase Resilience to Climate Change and Improve Sustainable Food Systems in West Africa and the Sahel - TCP/SFW/3703








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    Brochure, flyer, fact-sheet
    Agro-ecological zones
    Assessing alternatives for future cropping systems
    2021
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    The leaflet presents the activities of the second component of the project “Strengthening Agro-climatic Monitoring and Information Systems (SAMIS)”. In collaboration with the Department of Agricultural Land Management (DALaM) under the Ministry of Agriculture (MAF) has, with the financial support of FAO Laos and technical support from the Asian Institute of Technology (AIT) and FAO experts, produced the national level agro-ecological zoning (AEZ) mapping process. The AEZ aims to define the potential use of zones where crops can be growth based on climate, soil, crop cycle, and crop management practices, resulting in maps of suitability and potential yields. The maps have been generated using a software, called pyAEZ, produced with the project's support. The suitability maps for today and the future, using climate scenario as an input, are, in both technical standard and input data quality, state of the art. Lao People’s Democratic Republic is the first country, globally, to implement the AEZ system using national data and national capacity exclusively. The SAMIS AEZ delivery model has shifted demands for expertise to the regional and local levels. The AEZ allows policymakers to look ahead and adjust policies now to prepare for climate-related changes that will affect the prosperity of the country. Also, it helps to assess alternatives for future cropping systems and it guides establishing priority crop plan and future-proof land allocation to specific crop productions. Ultimately, the results from the scenario modeling will be uploaded to the Land Resources Information Management System (LRIMS).
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    Book (stand-alone)
    Persistence of Highly Pathogenic Avian Influenza H5N1 Virus Defined by Agro-Ecological Niche 2010
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    Abstract: The highly pathogenic avian influenza (HPAI) H5N1 virus has spread across Eurasia and into Africa. Its persistence in a number of countries continues to disrupt poultry production, impairs smallholder livelihoods, and raises the risk a genotype adapted to human-to-human transmission may emerge. While previous studies identified domestic duck reservoirs as a primary risk factor associated with HPAI H5N1 persistence in poultry in Southeast Asia, little is known of such factors in countr ies with different agro-ecological conditions, and no study has investigated the impact of such conditions on HPAI H5N1 epidemiology at the global scale. This study explores the patterns of HPAI H5N1 persistence worldwide, and for China, Indonesia, and India includes individual provinces that have reported HPAI H5N1 presence during the 2004–2008 period. Multivariate analysis of a set of 14 agricultural, environmental, climatic, and socio-economic factors demonstrates in quantitative terms that a combination of six variables discriminates the areas with human cases and persistence: agricultural population density, duck density, duck by chicken density, chicken density, the product of agricultural population density and chicken output/input ratio, and purchasing power per capita. The analysis identifies five agro-ecological clusters, or niches, representing varying degrees of disease persistence. The agroecological distances of all study areas to the medoid of the niche with the greatest number of human cases are used to map HPAI H5N1 risk globally. The results indicate that few countries remain where HPAI H5N1 would likely persist should it be introduced…
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    Book (stand-alone)
    A Python package for Agro-Ecological Zoning. User Guide for PyAEZ (v 2.0.0) 2023
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    Agro-Ecological Zoning (AEZ) framework was developed as a tool to analyse the effect of climate on land use and agricultures, as well as helping to optimise the crop cycle to produce the best yield possible. PyAEZ is an open-source Python package which offers AEZ calculations for user to implement for their regional AEZ analyses. This technical document contains detailed descriptions of all the AEZ modules and functions in PyAEZ.

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