DFG-PAK: Agent-based modelling and assessment of human-environment interactions (P6)
- Status
- completed
- Project begin
- 01.07.2008
- Project end
- 31.08.2012
- Sponsor mark
- DFG: BE 2576/5-1 & PAK 346 (P6)
- Project-Homepage
- https://klimawandel.uni-hohenheim.de
- Keywords
- Anpassung, Klimaänderung, Landnutzung, Modellierung, Nachhaltigkeit
A better understanding of human-environment interactions and especially of land users’ decision-making processes is a key requisite for exploring possible coping strategies to climate change and for improving land use planning. So far, land system models have focused on land areas as the main unit of analysis and have not represented the decision-making of land users explicitly. Within the second generation of land system models, attention will therefore shift from pixels to agents. When building so-called multi-agent models, the challenge becomes to realistically represent individual land-use decisions and especially the adaptation to climate change. Factors to be considered are options for technology adoption, learning and risk-coping, and spatial interaction. Another challenge is the integration of multi-agent models with land-surface-atmosphere models and especially crop growth models at detailed spatial scales, which has not yet been achieved. The major scientific goal of this project is to develop the agent-based model component for the overall land system model. The project fulfils a linking role between the microeconomic modelling at the individual farm level and the biophysical modelling at the landscape level.
This project is part of the Integrated DFG Project "Structure and Functions of Agricultural Landscapes under Global Climate Change - Processes and Projections on a Regional Scale".
Involved persons
Involved institutions
- Land Use Economics in the Tropics and Subtropics (Josef G. Knoll Professorship)
- Hohenheim Research Center for Bioeconomy
- Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute)
Sponsors
Publications in the course of the project
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Simulating structural change in agriculture: Modelling farming households and farm succession
2016: Troost, C., Berger, T.,
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Agent-based Modelling in the Agricultural Economics Tradition of Recursive Farm Modelling and Adaptive Micro-Systems
2012: Berger, T., Troost, C.
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Agent-based modeling of agricultural adaptation to climate change in a mountainous area of Southwest Germany
2012: Troost, C., Calberto, G., Berger, T., Ingwersen, J., Priesack, E., Warrach-Sagi, K., Walter, T.
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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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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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Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture
2014: Berger, T., Troost, C.
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Process-based simulation of regional supply functions using farm-level and agent-based models
2015: Troost, C., Berger, T.,
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Dealing with uncertainty in agent-based simulation: Farm-level modeling of adaptation to climate change in Southwest Germany
2015: Troost, C., Berger, T.
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Climate, energy and environmental policies in agriculture: Simulating likely farmer responses in Southwest Germany
2015: Troost, C., Walter, T., Berger, T.
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Experimental measurement of stakeholder expectation formation and risk taking behavior for integrated regional agricultural land use modeling
2016: Eisele, M., Troost, C., Berger, T.
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Advances in probabilistic and parallel agent‐based simulation: Modelling climate change adaptation in agriculture
2016: Troost, C., Berger, T.,
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Mikrosimulation landwirtschaftlicher Produktion auf der Schwäbischen Alb - Klimaanpassungsforschung mit detaillierten Daten aus der Agrarstatistik
2016: Troost, C.
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German Farmers' Perception of Climate Change Effects and Determinants influencing their Climate Awareness
2016: Jänecke, A., Eisele, M., Reinmuth, E., Steinbach, J., Aurbacher, J.
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An agent-based simulation model of human-environment interactions in agricultural systems
2011: Schreinemachers, P., Berger, T.