Title: Translating large-scale climate variability into crop production forecast in Europe
Authors: GUIMARES NOBRE GABRIELAHUNINK JOHANNESBARUTH BETTINAAERTS J.C.J.H.WARD P.J.
Citation: SCIENTIFIC REPORTS vol. 9 p. 1277
Publisher: NATURE PUBLISHING GROUP
Publication Year: 2019
JRC N°: JRC113812
ISSN: 2045-2322 (online)
URI: https://www.nature.com/articles/s41598-018-38091-4
http://publications.jrc.ec.europa.eu/repository/handle/JRC113812
DOI: 10.1038/s41598-018-38091-4
Type: Articles in periodicals and books
Abstract: Studies show that climate variability drives interannual changes in meteorological variables in Europe, which directly or indirectly impacts crop production. However, there is no climate-based decision model that uses indices of atmospheric oscillation to predict agricultural production risks in Europe on multiple time-scales during the cropping season. We used Fast-and-Frugal trees to predict sugar beet production, applying five large-scale indices of atmospheric oscillation: El Niño Southern Oscillation, North Atlantic Oscillation, Scandinavian Pattern, East Atlantic Pattern, and East Atlantic/West Russian pattern. We found that Fast-and-Frugal trees predicted high/low sugar beet production events in 77% of the investigated regions, corresponding to 81% of total European sugar beet production. For nearly half of these regions, high/low production could be predicted six or five months before the start of the sugar beet harvesting season, which represents approximately 44% of the mean annual sugar beet produced in all investigated areas. Providing early warning of crop production shortages/excess allows decision makers to prepare in advance. Therefore, the use of the indices of climate variability to forecast crop production is a promising tool to strengthen European agricultural climate resilience.
JRC Directorate:Sustainable Resources

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