Understanding the drought impact of El Niño/La Niña in the grain production areas in Eastern Europe and Central Asia: Russia, Ukraine and Kazakhstan
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.
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| Format: | Book (stand-alone) biblioteca |
| Language: | English |
| Published: |
FAO ;
2019
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| Online Access: | https://openknowledge.fao.org/handle/20.500.14283/CA3758EN http://www.fao.org/3/ca3758en/ca3758en.pdf |
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| Summary: | 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. |
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