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Agent-Based Simulation of Household Structure Impacts on Land Use in the Amazon

Explore how household structure affects land use change in the Brazilian Amazon using agent-based modeling. Focus on local interactions and emergent complexity. Future directions include unique agent distribution and external factors analysis.

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Agent-Based Simulation of Household Structure Impacts on Land Use in the Amazon

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  1. Agent Based Simulations of the Effects of Household Structure on Patterns of Land Use Change in the Brazilian Amazon Peter Deadman Department of Geography, University of Waterloo, Waterloo, Ontario, Canada

  2. Outline • Context • Land Use Change in the Amazon Rainforest • History • Conceptual model of land use change • Agent Based Simulation • LUCITA • Current Status • Future Directions

  3. The Region of Altamira, Pará, Brazil

  4. Conceptual Model Source: McCracken et al. (1999)

  5. LUCITA Model Design

  6. Schedule of Events

  7. Simulation Scenario Clearing: Household Composition: Family Size = varies between 2 and 6 No. of Males = varies between 1 and 5 Initial Capital = Cr$0 Clearing Preferences: • SS7 (over 20 years of age) • SS6 (17 to 20 years of age) • SS5 (12 to 16 years of age) • SS4 (7 to 11 years of age) • SS3 (4 to 6 years of age) • SS2 (2 to 3 years of age) • SS1 (greater than 1 year of age) • Weeds & Bare (less than 1 year of age) • Virgin Forest

  8. 1-Household: t = 1 Simulation Results t = 10 t = 20 t = 30 t = 40 Landscape Version: t = 10 t = 20 t = 30 t = 40

  9. Simulation Results1 HouseholdHousehold Size = 2

  10. Simulation Results1 Household Household Size = 6

  11. Conclusion • Simulations show some replicative validity • Emphasis is NOT on emulating a real world system. (yet) • Focus is on local human-environment interactions and emergence. (complexity) • Utility for environmental management is still unknown. (exploratory)

  12. Future Directions • Implement a simulation with unique and changing household agents distributed on the landscape space • Continue data collection • Household behaviour • Biophysical resources and processes • Explore the effects of external factors such as commodity prices and credit policies • Explore performance of simulation in multiple study sites

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