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Climate resilient cultivation methods for risk optimization – with special consideration of the goals of the arable farming strategy and their regional requirements - subproject PIK (KARO)

Project

Climate change

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


Project code: 2823ABS032
Contract period: 01.04.2024 - 30.06.2027
Budget: 218,229 Euro
Purpose of research: Inventory & Assessment
Keywords: crop production, food security, climate change adaptation, cultivation, modeling, forecast, economy

The aim of the KARO project is the region-specific further development of existing crop production systems in their regional context to make them more resilient to climate change phenomena. In the context of the necessary adaptations, the performance and competitiveness of farm enterprises is to be supported primarily by obtaining an improved understanding of climate change-related risks and by developing and demonstrating possible actions to handle these risks. The actions to handle are developed under the premise and along the fields of action of the Arable Farming Strategy 2035. In this approach, the interplay of climatic, crop, phytosanitary and environmental risks is considered and ultimately subsumed in the business economic risk. The contributions of the PIK subproject concentrate on the provision of data which are used or further processed by the other project partners for assessments or model simulations needed for achieving these aims. These include current, spatially detailed climate scenarios which are, in the framework of the subproject, bias-adjusted with an approach that had been developed at PIK; yield scenarios for ten different crop species in the three focus regions; and the characterization of climate analog regions, domains currently experiencing a climate similar to what is expected for the focus regions in the future. A special focus to be assessed in the framework of a PhD thesis is the creation of a Germany-wide phenology model which is able to simulate the most important growth stages of the 10–12 most prominent crop species based on weather data. Accordingly, the model shall produce phenology scenarios from the climate scenarios. Finally, PIK is also engaged in the communication and collaboration with stakeholders.

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Subjects

  • Crop Production
  • Agricultural hydrology
  • Agricultural Meteorology
  • Climate Change
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