Abstract
The assessment of agricultural water demand and agricultural land use is a common element in quantitative model-based policy analysis. Economic, political and pre-existing climatic and soil conditions shape the structure of agricultural land use which determines drinking water demand and nutrient input from agriculture. These factors vary strongly across regions. A nonlinear process analytical model based on agricultural statistics on district level was used to calculate parameters such as farm incomes, optimum cultivation plan, animal husbandry, quantities of fertiliser and the demand for drinking water at district level. To produce a more detailed picture with a higher spatial resolution, the regional optimization model was combined with an agricultural actor model that simulates farmers’ crop management decisions. An allocation tool was developed to allocate the different farm actors on a spatial unit of 1 × 1 km. For the analysis modelled yield changes from interdisciplinary global change scenarios were used.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dabbert S, Herrman S, Kaule G, Sommer M (eds) (1999) Landschaftsmodellierung für die Umweltplanung. Springer, Berlin
Hazell P, Norton R (1986) Mathematical programming for economic analysis in agriculture. Macmillan Publishing, New York
Henseler M, Wirsig A, Herrmann S, Krimly T, Dabbert S (2009) Modeling the impact of global change on regional agricultural land use through an activity-based non-linear programming approach. Agric Sys 100(1-3):31–42
Herrmann S, Schuster H, Zárate M (2003) Disaggregation agrarökonomischer Daten als Grundvoraussetzung für eine disziplinübergreifende Modellkopplung – Das Beispiel GLOWA-Danube. Poster presented at the 43rd. Jahrestagung der Gesellschaft für Wirtschaftsund Sozialwissenschaften des Landbaus, Stuttgart-Hohenheim, 29 Sept – 1 Oct 2003
Howitt RE (1995) Positive mathematical programming. Am J Agric Econ 77(2):329–324
Howitt RE, Mean U (1999) A positive approach to microeconomic programming models. Workingpaper 6, Department of Agricultural Economics, University of California, Davis
Röhm O, Dabbert S (2003) Integrating agri-environmental programs into regional production models: an extension of positive mathematical programming. Am J Agric Econ 85(1):256–267
Winter T (2005) Ein Nichtlineares Prozessanalytisches Agrarsektormodell für das Einzugsgebiet der Oberen Donau. Dissertation, Universität Hohenheim
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Wirsig, A., Krimly, T., Dabbert, S. (2016). Agricultural Land Use and Drinking Water Demand. In: Mauser, W., Prasch, M. (eds) Regional Assessment of Global Change Impacts. Springer, Cham. https://doi.org/10.1007/978-3-319-16751-0_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-16751-0_39
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16750-3
Online ISBN: 978-3-319-16751-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)