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Applications / Models
Image showing areas we research in relation to Climate Change

Simulation models play an increasingly important role in analysing the likely impacts of climate change on natural resource systems, and on evaluating options for mitigations of greenhouse gas emissions and the implications of the way that people will adapt.

Simulation models provide a way of encapsulating the knowledge we have of human and biophysical processes and their interactions into tools that can be used to explore hypotheses and scenarios, predict likely outcomes, and identify gaps in our understanding.

Simulation models we are currently using for our climate change research:

  • LADSS – the Land Allocation Decision Support System simulating processes at the individual farm level
  • FEARLUS (Framework for Evaluation and Assessment of Regional Land Use Scenarios) – an agent-based model of land use change and rural communities
  • PALM (the People And Landscapes Model) – a coupled human-environment model for analysing the complex interactions between humans and their environment
  • MERES (Methane Emissions from Rice Ecosystems) – a process-based model of methane emissions from rice agriculture in Asia

 

Updated: 15 Jun 2016, Content by: RM