We have reimplemented and updated the `grainscape` R package for landscape connectivity, habitat, and protected area network analyses.
A collection of R packages for implementing a variety of event-based models, with a focus on spatially explicit models.
We are integrating various simulation models dealing with forest vegetation dynamics, fire, insect disturbance, and wildlife populations, to inform decision making in these management areas.
LandWeb is the first large scale, data-driven approach to simulating historic natural ranges of variation (H/NRV). This model integrates two well-used models for forest stand succession and fire simulation, and is implemented using the `SpaDES` platform.
The continued eastward spread of mountain pine beetle (*Dendroctonus ponderosae* Hopk.; MPB) now threatens the boreal forests of eastern Alberta, Saskatchewan, and beyond. Predicting the outbreak and spread dynamics of this insect in jack pine, and to evaluate control measures to mitigate a potentially devastating loss of forest habitat and timber supply requires not only a complex understanding of the various inputs to this system and their interactions (e.g., MPB population dynamics, climate impacts, landscape features) but also the technical capacity to run large-scale spatial simulation models, and to update them quickly as new data are acquired and new models are developed. ...