DFG-Forschergruppe "Regional Climate Change": Microeconomic analysis of land use management under climate change with emphasis on risk and learning
- Status
- completed
- Project begin
- 01.04.2012
- Project end
- 31.03.2015
- Sponsor mark
- DFG: DA 315/6-1 & FOR 1695
- Project-Homepage
- https://klimawandel.uni-hohenheim.de
Recent research has shown that there is lack of knowledge on how learning with respect to complex issues, such as climate change, actually takes place on farms. The rate of adaptation to a changed environment is unclear. Thus, this subproject will extend the knowledge about learning strategies and the behaviour of farms. It is intended to implement different learning methods into the model (rational expectations, adaptive expectations, Bayesian updating) and to compare their effects on modelled behaviour. However, the empirical bases for these methods are weak. This deficit shall be closed by empirical investigations in the field as well as experiments with students who are familiar with farm management. These experiments allow for statistical analyses of different behaviour which will be used for the parameterisation of the corresponding farm models. Similarly, specific information on risk assessment and handling will be included in the model to facilitate analyses of farmers’ behaviour under a changing climate.
Subproject P7 of DFG Research Unit 1695 "Agricultural Landscapes under Global Climate Change – Processes and Feedbacks on a Regional Scale"
Involved persons
Involved institutions
- DFG Research Group 1695: Regional Climate Change
- Production Theory and Resource Economics
- Institute of Farm Management
Sponsors
Publications in the course of the project
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Toward more efficient model development for farming systems research – an integrative review
2017: Reinmuth, E., Dabbert, S.
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Modeling perceptions of climatic risk in crop production
2017: Reinmuth, E., Parker, P., Aurbacher, J., Högy, P., Dabbert, S.
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Simulating regional climate-adaptive field cropping with fuzzy logic management rules and genetic advance
2016: Parker, P., Ingwersen, J., Högy, P., Priesack, E., Aurbacher, J.
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Simulation-based projections of crop management and gross margin variance in contrasting regions of Southwest Germany
2015: Parker, P., Reinmuth, E., Ingwersen, J., Högy, P., Priesack, E., Wizemann, H.-D., Aurbacher, J.
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Influence of climate change on short term management of field crops – A modelling approach
2013: Aurbacher, J., Parker, P. S., Calberto Sánchez, G. A., Steinbach, J., Reinmuth, E., Ingwersen, J., Dabbert, S.
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The Influence of Climate Change on Short-term Farm Management – an Interdisciplinary Modelling Approach
2013: Aurbacher, J., Reinmuth, E., Parker, P., Calberto, G., Steinbach, J., Ingwersen, J., Dabbert, S.
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Generating crop sequences in land use models using maximum entropy and Markov chains
2011: Joachim Aurbacher and Stephan Dabbert