As part of a multidisciplinary study of vegetation, fire and permafrost dynamics, the successful applicant will develop spatial simulation models to forecast the abundance and spatial distribution of caribou habitat in relation to climate change, fire and human landuse in the Northwest Territories. The models are to be implemented in SpaDES, a new R package for spatial simulation and individual based modelling. Part of the thesis will involve integration of the team’s research findings, scenario development and the implementation of simulation experiments. However, the student will also be expected to conduct applied research in one related topic (e,g, vegetation dynamics, caribou movement) according to their interest, the results of which would be included as a model component. The qualifications are strong quantitative skills and an interest in spatial simulation independent of disciplinary background. A high level of written communication skills in English is essential. Programming experience (e.g. in R, Python) would be an asset, but modelling courses are available in the lab.
Continuing from previous post on modularity, the next issue, of course, is not every module will be compatible out of the box. If we continue with the example from last post, not every growth module will take “stem counts and size by species”. One solution to this is the idea of translator modules.