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Model-based scenario analysis to optimise crop production for climate protection - TI (ModOKlim)

Project

Climate change

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


Project code: 2823KLI006
Contract period: 01.11.2023 - 30.10.2026
Budget: 249,339 Euro
Purpose of research: Inventory & Assessment
Keywords: crop production, diversified production, emissions, food security, climate change adaptation, cllimate protection, climate protection, modeling, forecast

Human-induced climate change threatens the stability of the planet's ecosystems in the long term, and thus also the stability of human society through scarcity of water, food and habitat. Agricultural food production in particular faces an uncertain future and there is a considerable need for information on suitable climate protection strategies. The overall objective of the project is to identify suitable management measures and operational strategies for optimising crop production in terms of climate protection. The ModOKlim project primarily pursues the following scientific objectives: (i) the reliable reproduction of spatial and temporal patterns of agricultural crop productivity in Germany over the past 30 years using agro-ecosystem models, (ii) the deterministic projection of yield prospects and associated GHG emissions of agricultural crops in Germany, (iii) scenario analysis using biophysical and economic models to assess the prospects of success of climate change mitigation strategies towards profitable, climate-adapted and species-rich cropping systems, and (iv) the integration of state-of-the-art science on probabilistic projections of extreme weather events into the projections of the deterministic models. The aim of WP5 is to optimise crop diversification of different crops and varieties for climate change mitigation, particularly with respect to resistance to extreme weather events. To this end, statistical methods will be used to map the relationships between weather events, yields and climate impacts, and agricultural farm models will be used to derive optimal cropping conditions for different locations and farm types (e.g. conventional, organic; cash crops, dairy cattle) under different climate scenarios.

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