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Book (stand-alone)User Manual Agricultural Stress Index System/Country-Level
Module II: Implementation of country-level ASIS
2023Also available in:
This manual aims to present practical examples of the use of the FAO-ASIS Country tool so that the user can make a better interpretation of the results obtained. This manual is part of the series of manuals called User Manuals of the Agricultural Drought Surveillance System for Central America (ASIS-Country). This manual focuses on explaining the interpretation of various indices generated by the ASIS tool. The examples come from different countries where the tool is used, e.g. Nicaragua, Philippines, and Bolivia. -
Book (stand-alone)Understanding the drought impact of El Niño/La Niña in the grain production areas in Eastern Europe and Central Asia: Russia, Ukraine and Kazakhstan 2019
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No results found.This study focused on assessing the statistical of spatio-temporal impacts on grain production areas in Russian Federation, Ukraine and Kazakhstan (RUK region). A calibrated and harmonized spatio-temporal database that integrated country agricultural production at sub-national level for wheat and maize crops (area harvested, yield, production, and area planted for the study area, with remote sensing and Earth Observation (EA) data using Agriculture Stress Index (ASI) data, as well as El Niño/La Niña data was created. The data collected from country offices were screened, evaluated and assessed using data quality criteria. Several statistical and geostatistical models were implemented to analyze and assess the impacts of El Niño events on agriculture production on the study area and provide insights on the impacts and distribution of such events aiming at improving knowledge and supporting resilience, and target investments in agriculture and rural development. -
Book (series)Climate-change vulnerability in rural Zambia: the impact of an El Niño-induced shock on income and productivity 2019
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No results found.This paper examines the impacts of the El Niño during the 2015/2016 season on maize productivity and income in rural Zambia. The analysis aims at identifying whether and how sustainable land management (SLM) practices and livelihood diversification strategies have contributed to moderate the impacts of such a weather shock. The analysis was conducted using a specifically designed survey called the El Niño Impact Assessment Survey (ENIAS), which is combined with the 2015 wave of the Rural Agricultural Livelihoods Surveys (RALS), as well as high resolution rainfall data from the Africa Rainfall Climatology version 2 (ARC2). This unique, integrated data set provides an opportunity to understand the impacts of shocks like El Niño that are expected to get more frequent and severe in Zambia, as well as understand the agricultural practices and livelihood strategies that can buffer household production and welfare from the impacts of such shocks to drive policy recommendations. Results show that households affected by the drought experienced a decrease in maize yield by around 20 percent, as well as a reduction in income up to 37 percent, all else equal. Practices that moderated the impact of the drought included livestock diversification, income diversification, and the adoption of agro-forestry. Interestingly, the use of minimum soil disturbance was not effective in moderating the yield and income effects of the drought. Policies to support livestock sector development, agroforestry adoption, and off -farm diversification should be prioritized as effective drought resiliency strategies in Zambia.
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