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Environmental and Social Risk Management Plan “Climate Smart Agriculture Alternatives for Upland Production Systems in Lao PDR”

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    Book (stand-alone)
    Dry zone of Sri Lanka - Climate-smart intensification of upland and lowland crop production systems 2022
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    This guide explores the climate-smart intensification of upland and lowland crop production systems in the dry-zone of Sri Lanka and provides technical guidance to achieve the productive objectives of selected strategic crops (as deemed relevant by the Government of Sri Lanka). The first edition focuses on maize and groundnut upland production systems and on rice lowland production. It provides a quick reference for information on crop production and soil management, including crop varieties, nutritional requirements and field equipment. As climate change will result in wider and more severe occurrences of plant pests, the guide relies on integrated pest management practices adapted to climate change. Optimizing the production of these crops calls for the diversification of crop systems using intercrops and cover crops. Additionally, sustainable mechanization is regarded as an essential agricultural production input to optimize labour and land productivity for the sustainable and profitable development of the agriculture sector. Therefore, the guide describes the innovative equipment needed for the sustainable optimization of crop production. To ensure coherent guidance and advice on sustainable farming practices, inputs and technologies, the guide has been developed in cooperation with all stakeholders working in the agriculture sector of Sri Lanka.
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    Brochure, flyer, fact-sheet
    Weather dependent climate smart recommendations
    Part of the Lao People's Democratic Republic climate services for agriculture (LaCSA)
    2021
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    The Laos Climate Services in Agriculture (LaCSA) system was developed by the Department of Meteorology and Hydrology (DMH) project Strengthening Agro-climatic Monitoring and Information System (SAMIS). The LaCSA archives and processes agro-meteorological and climatological data to provide agro-advisory services to next- and end-users. It generates and delivers tailored agro-met services to farmers by analyzing the meteorological data, agriculture data from national databases, and field level data collected by partners to produce seasonal (monthly) and real-time (weekly) agro-advisory in the form of bulletins. The bulletins contain district- and province-specific crop and livestock forecasted climate risks, pest and diseases risk advisory, and climate smart farming recommendations. The production of the recommendations was undertaken by the National Agriculture and Forestry Research Institute (NAFRI) and by the CIAT project DeRISK. Jointly these entities collected and systematized detailed agricultural data and experts knowledge throughout the country. The recommendations went through a series of revisions and validations based on feedback from local crop experts. The agricultural recommendations (presented here in English but available in Lao language too) are structured in tables. Rows list the farming activity, and columns contain farming practices by rainfall forecast compared to the climatological average, for which three conditions are possible: normal, wetter than normal, and drier than normal. This leaflet aims to promote fair access and transparency for researchers, development partners, and advisory users. LaCSA is a dynamic system and information can be updated and modified based on new knowledge and need. Authorized representatives will improve the recommendations over time.
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    Book (stand-alone)
    Planning, implementing and evaluating Climate-Smart Agriculture in Smallholder Farming Systems 2016
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    The pilot projects of the Mitigation of Climate Change in Agriculture (MICCA) Programme of FAO in Kenya and the United Republic of Tanzania have integrated climate-smart agriculture (CSA) into development programmes. The objective of the pilot projects was to show that smallholder farmers can improve their livelihoods and increase their productivity and contribute to climate change mitigation at the same time. The approach was to develop portfolios of climate-smart agricultural practices based o n participatory consultations and expert assessments, implement the selected practices using a variety of extension methods and evaluate their effects on yield, food security and their potential to reduce greenhouse gas (GHG) emissions on farms and throughout the landscape. Farmers who participated in the MICCA pilot projects reported that the main benefits of CSA were higher yields, greater farm income and increased food availability. This is an indication that smallholder farmers can be an eff ective part of the response to climate change and make a meaningful contribution to reducing GHG emissions. Bringing sound, up-to-date evidence into decision-making processes can help shape policies, plans and programmes that support CSA.

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