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Object view in spatial system dynamics: a grassland farming example.

Christian Neuwirth1, Barbara Hofer2, Andreas Schaumberger3

  • 1Department of Geography, University of Munich, Munich, Germany; Doctoral College GIScience, University of Salzburg, Salzburg, Austria.

Journal of Spatial Science
|February 14, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces object-based spatial system dynamics (SSD) models for simulating agricultural structural change. Object-based SSD reveals how farm consolidation and fragmentation are influenced by land quality and market dynamics.

Keywords:
SD and GISSpatial system dynamicsagricultureobject geometry and topologyspatial structure

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Area of Science:

  • Agricultural Economics
  • Geographic Information Systems (GIS)
  • Spatial Modeling

Background:

  • Traditional Spatial System Dynamics (SSD) models primarily use raster grids, limiting the representation of human artifacts like land ownership.
  • Integrating object-based representations in SSD models is crucial for a more nuanced understanding of land use dynamics.

Purpose of the Study:

  • To demonstrate the application of object-based representations within SSD models.
  • To simulate agricultural structural change, focusing on farm size dynamics.
  • To investigate the relationships between structural change, farmland fragmentation, and farmland quality.

Main Methods:

  • Developed an object-based Spatial System Dynamics (SSD) model using land parcels as objects.
  • Attributed land parcels to grassland farms and simulated changes in farm size.
  • Incorporated dynamic land market and transportation costs into the model.

Main Results:

  • Fragmented farms tend to consolidate through structural change.
  • Initial consolidated farm structures can lead to increased fragmentation.
  • Dynamic land markets and high transportation costs reinforce farm consolidation.

Conclusions:

  • Object-based SSD models effectively integrate object geometries and spatial relationships.
  • This approach enhances the dynamic simulation of structural change, farmland fragmentation, and quality in agriculture.
  • The study highlights the importance of object-based modeling for understanding complex agricultural landscapes.