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Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources

Author

Listed:
  • Roland Barthel
  • Tim Reichenau
  • Tatjana Krimly
  • Stephan Dabbert
  • Karl Schneider
  • Wolfram Mauser

Abstract

The GLOWA-Danube research cooperation has developed the integrated simulation system DANUBIA to simulate water-related influences of global change in different spatial and temporal contexts. DANUBIA is a modular system comprised of 17 dynamically-coupled, process-based model components and a framework which controls the interaction of these components with respect to space and time. This article describes approaches and capabilities of DANUBIA with regard to the simulation of global change effects on agriculture and groundwater. To the agriculture-groundwater-relation, the direct effects that climate change has on the water balance are just as important as decisions made by land managers about land use and farming intensity. This article provides firstly a brief review of the research efforts which have been undertaken in the field of integrated modeling of agriculture and groundwater under conditions of global change. Then, the DANUBIA simulation framework and the associated DeepActor-framework for simulation of decision-making by agricultural actors are presented together with the model components which are most relevant to the interactions between agriculture and groundwater. The approach for developing combination climate and socio-economic scenarios is explained. Exemplary scenario results are shown for the Upper Danube Catchment in Southern Germany. Finally issues related to integrated simulation of global change effects on agriculture and groundwater are discussed. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Roland Barthel & Tim Reichenau & Tatjana Krimly & Stephan Dabbert & Karl Schneider & Wolfram Mauser, 2012. "Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1929-1951, May.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:7:p:1929-1951
    DOI: 10.1007/s11269-012-0001-9
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    7. Lisa Huber & Nico Bahro & Georg Leitinger & Ulrike Tappeiner & Ulrich Strasser, 2019. "Agent-Based Modelling of a Coupled Water Demand and Supply System at the Catchment Scale," Sustainability, MDPI, vol. 11(21), pages 1-15, November.
    8. Jiao Liu & Tie Liu & Anming Bao & Philippe Maeyer & Xianwei Feng & Scott Miller & Xi Chen, 2016. "Assessment of Different Modelling Studies on the Spatial Hydrological Processes in an Arid Alpine Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1757-1770, March.
    9. K. Raneesh & Santosh Thampi, 2013. "A Simple Semi-distributed Hydrologic Model to Estimate Groundwater Recharge in a Humid Tropical Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1517-1532, March.
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    11. Daniela D’Agostino & Alessandra Scardigno & Nicola Lamaddalena & Daniel Chami, 2014. "Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4303-4318, September.
    12. Roland Barthel & Stefan Banzhaf, 2016. "Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 1-32, January.
    13. Eigner, Amanda E. & Nuppenau, Ernst-August, 2019. "Applied spatial approach of modelling field size changes based on a consideration of farm and landscape interrelations," Agricultural Systems, Elsevier, vol. 176(C).
    14. A. Pryet & B. Labarthe & F. Saleh & M. Akopian & N. Flipo, 2015. "Reporting of Stream-Aquifer Flow Distribution at the Regional Scale with a Distributed Process-Based Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 139-159, January.
    15. Reidsma, Pytrik & Bakker, Martha M. & Kanellopoulos, Argyris & Alam, Shah J. & Paas, Wim & Kros, Johannes & de Vries, Wim, 2015. "Sustainable agricultural development in a rural area in the Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level," Agricultural Systems, Elsevier, vol. 141(C), pages 160-173.
    16. Kirchner, Mathias & Schmidt, Johannes & Kindermann, Georg & Kulmer, Veronika & Mitter, Hermine & Prettenthaler, Franz & Rüdisser, Johannes & Schauppenlehner, Thomas & Schönhart, Martin & Strauss, Fran, 2015. "Ecosystem services and economic development in Austrian agricultural landscapes — The impact of policy and climate change scenarios on trade-offs and synergies," Ecological Economics, Elsevier, vol. 109(C), pages 161-174.
    17. Andreas Wunsch & Tanja Liesch & Stefan Broda, 2022. "Deep learning shows declining groundwater levels in Germany until 2100 due to climate change," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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