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Analysis and estimation of weather data and yields and their variability caused by biotic and abiotic stresses, especially extreme weather events using statistical analysis and models

Project

Climate change

This project contributes to the research aim 'Climate Change'. What are the sub-aims? Take a look:
Climate change


Project code: JKI-SF-08-1211
Contract period: 01.11.2014 - 31.05.2016
Purpose of research: Inventory & Assessment

Extreme weather events will become more frequent and intensive. Extreme weather events this means that climatic variability will increase. An increased climatic variability can have significant effects on organisms and ecosystems. Changes in frequency and magnitude of climate extremes may be of more significance than changes in mean conditions. Thus statistical analysis and modeling of weather data and yield data from Dahnsdorf JKI experimentation station, different regions of the district of Brandenburg and other regions of Germany and their variability will be made to improve our understanding of extreme events, their frequency and magnitude and how they might influence yields and plant pests in past and present. During this work process the methodical basis will be established for further analysis of extreme events and their impacts as a result. Then this could contribute to developing a better understanding of the risks of extreme weather events so a better risk assessment, risk minimizing and adaptation should be possible in the future.

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Subjects

Framework programme

BMEL Frameworkprogramme 2008

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