Introduction | Preparing your marteloscope field data in the Excel template | Software installation | Installing Java | Installing Capsis | Installing R and Rstudio | Installing the R package | Using the R package | Create a directory and an R project to simulate a marteloscope workshop on the marteloscope of your choice | Run the script 01_start.R | Run the script 02_test.R | Testing the package on your own marteloscope | Create a directory and an R project to simulate a marteloscope workshop on the marteloscope of your choice - Before each exercise | Run the script 01_start.R - Before each exercise | Run the script02_test.R to test a random marking | Prepare the field tablets - Before going to the field | Make a virtual field marking on your tablet – On the field | Run the script 03_workshop.R to simulate the field marking - After the marking | Define the silvicultural interventions performed during the simulation | Evaluate the simulations on your marteloscope | The D-Day : Performing a real marteloscope field and simulation workshop | Preparing your computer and your tablets before the workshop | Import marking files, make the simulations and produce the reports | Other simulation projects with Samsara2 | References

Rapid description of the Integral Projection Model | Simulations input | Define a species | Define a forest | Running simulations | Customizing the simulations | Initialisation step | Recruitment delay | Multiple species | References

Simulations input | Define a species | Default scenario | Presentation | Modulation | Uneven scenario | Theory | Monospecific case | Harvest proportion | Harvest curve | Harvesting algorithm | Multispecific case | Abundance-based preference | Favoured species | Examples | Even scenario | References

Simulations input | Define a species | Disturbance | Definition of disturbance | Impact on population | Simulations | Multispecific simulations | Linear stabilizing effect of species mixture | References