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

This two-day course provides a foundation for developing and running state-and-transition simulation models of landscape change using the ST-Sim software (www.apexrms.com/stsm). 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.

Goals

• 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

Cost

• 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.