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Promoting and achieving the Zero Hunger Challenge: the UN at Expo Milano 2015 and South-South Cooperation in Latin America and the Caribbean - Concept note








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    Dietary assessment
    A resource guide to method selection and application in low resource settings
    2018
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    FAO provides countries with technical support to conduct nutrition assessments, in particular to build the evidence base required for countries to achieve commitments made at the Second International Conference on Nutrition (ICN2) and under the 2016-2025 UN Decade of Action on Nutrition. Such concrete evidence can only derive from precise and valid measures of what people eat and drink. There is a wide range of dietary assessment methods available to measure food and nutrient intakes (expressed as energy insufficiency, diet quality and food patterns etc.) in diet and nutrition surveys, in impact surveys, and in monitoring and evaluation. Differenct indicators can be selected according to a study's objectives, sample population, costs and required precision. In low capacity settings, a number of other issues should be considered (e.g. availability of food composition tables, cultural and community specific issues, such as intra-household distribution of foods and eating from shared plates, etc.). This manual aims to signpost for the users the best way to measure food and nutrient intakes and to enhance their understanding of the key features, strengths and limitations of various methods. It also highlights a number of common methodological considerations involved in the selection process. Target audience comprises of individuals (policy-makers, programme managers, educators, health professionals including dietitians and nutritionists, field workers and researchers) involved in national surveys, programme planning and monitoring and evaluation in low capacity settings, as well as those in charge of knowledge brokering for policy-making.
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    Map Accuracy Assessment and Area Estimation: A Practical Guide 2016
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    Accurate and consistent information on forest area and forest area change is important given the reporting requirements for countries to access results based payments for REDD+ . Forest area change estimates usually provide data on the extent of human activity resulting in emissions (e.g. from deforestation) or removals (e.g. from afforestation), also called activity data (AD). A basic methodological approach to estimate greenhouse gas emissions and removals (IPCC, 2003), is to multiply AD with a coefficient that quantifies emissions per unit ‘activity’ (e.g. tCO2e per ha), also called an emission factor (EF).