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Modelling Individual Farm Behaviour and Landscape Appearance

Author

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  • Martin Kapfer
  • Sigrid Ziesel
  • Jochen Kantelhardt

Abstract

We develop a farm- and plot-specific land-use model, which allows to examine the influence of changing socio-economic conditions on agricultural landscapes. The outstanding feature of our model is that we directly consider the knowledge of local farmers and agrarian experts for the specification of the farm-specific adaptation process. Furthermore, we visualise changes in landscape appearance by photo manipulation. The study takes place in three typical (Pre-) Alpine regions in Southern Germany and in Austria. In all study regions, we apply three scenarios: Status quo (the persistence of the current economic and agri-political conditions), liberalisation (the abolishment of public payments and decreasing of producer prices) and alternative (treating a specific development of particular importance in the respective region). The abandonment of land in marginal regions and the intensification and homogenisation of land use in more productive regions are the most important developments. The initially given farm structure is of fundamental importance for the future development of landscapes.

Suggested Citation

  • Martin Kapfer & Sigrid Ziesel & Jochen Kantelhardt, 2015. "Modelling Individual Farm Behaviour and Landscape Appearance," Landscape Research, Taylor & Francis Journals, vol. 40(5), pages 530-554, July.
  • Handle: RePEc:taf:clarxx:v:40:y:2015:i:5:p:530-554
    DOI: 10.1080/01426397.2014.987742
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    Cited by:

    1. Walder, Peter & Kantelhardt, Jochen, 2018. "The Environmental Behaviour of Farmers – Capturing the Diversity of Perspectives with a Q Methodological Approach," Ecological Economics, Elsevier, vol. 143(C), pages 55-63.
    2. Sebastian Lakner & Stefan Kirchweger & Daniel Hoop & Bernhard Brümmer & Jochen Kantelhardt, 2018. "The Effects of Diversification Activities on the Technical Efficiency of Organic Farms in Switzerland, Austria, and Southern Germany," Sustainability, MDPI, vol. 10(4), pages 1-18, April.

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