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Introduction to State-and-Transition Simulation Modelling of Landscape Dynamics - Durham, North Carolina

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The Power Plant 320 Blackwell Street #101 Durham, NC 27701

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Refund Policy


This two-day course provides a foundation for developing and running state-and-transition simulation models of landscape change using the ST-Sim software ( The course covers state-and-transition simulation modeling concepts, how to use the ST-Sim software to create simple models of vegetation and land-use change, and how to run those models and interpret the results. Case studies using state-and-transition simulation models in a range of ecosystems will also be presented, along with insights into how to organize your own model building initiative.

The course is designed for those who are new to ST-Sim and/or new to state-and-transition simulation modeling. It is also recommended for those who have been introduced to state-and-transition simulation models through workshops or projects, but who now wish to build and run models themselves, including spatially-explicit simulations. No particular software knowledge or disciplinary expertise is required.

Participants are expected to bring their own computer (running Windows XP SP 3 or higher) for the training sessions – if this is not possible, please contact us to make alternate arrangements. Participants are also responsible for the cost of their accommodation, meals and travel during the course.


  • Understanding of state-and-transition simulation modeling concepts
  • Understanding of how different ecosystems and management alternatives can be represented using state-and-transition simulation models
  • Understanding of how to create a state-and-transition simulation model in ST-Sim
  • Ability to run models in ST-Sim and interpret the results, including spatially-explicit simulations
  • Understanding of the steps required in order to create your own set of ST-Sim models

Topics Covered

  • State-and-transition simulation modeling fundamentals
  • Representing landscape dynamics as state-and-transition simulation models
  • Creating models in ST-Sim: defining ecological strata, state classes and transition pathways
  • Parameterizing ST-Sim models: setting transition probabilities, establishing targets for management and specifying initial conditions from map-based inventories
  • Working with ST-Sim models: running models, configuring output charts and maps
  • Interpreting ST-Sim model results: viewing model output, comparing alternative scenarios and exporting results


  • Early registration (to November 1): US$795. Regular registration (after November 1): US$895

Cancelation Policy

  • Prior to and including November 8th, fees are refundable minus a $30 service charge. After November 8th, fees are not refundable.