Population Dynamics
We help organizations predict the fate of both animal populations and disease, including COVID-19.
Wildlife Population Dynamics
We work with clients around the world to help them forecast the effects of harvest, climate change and industrial development on wildlife populations.
A key focus area of ours is supporting management decisions regarding wildlife harvest. Through ongoing collaborations over the past decade with several resource management agencies, including the Yukon Government, Government of Northwest Territories, Government of Alberta, Environment Canada, and the Government of Greenland, we have developed DG-Sim, an open-source model for forecasting wildlife population size and harvest. DG-Sim has been used to support harvest management decisions for several herds of barren-ground caribou, reindeer and muskoxen across Alaska, Canada, and Greenland.
Another area of expertise for us is the development of new approaches for forecasting the cumulative impacts of industrial development, climate change and harvest on caribou populations. The Caribou Cumulative Effects (CCE) model, a tool that has evolved through more than 25 years of work with experts from across the Canadian and Alaskan arctic, dynamically links sub-models of caribou movement, body condition, and population dynamics (i.e. DG-Sim) in order to project the combined population-level consequences of future changes in land use, caribou harvest and climate. Most recently we have used this model to forecast the cumulative impact of proposed developments within the ranges of both the Bathurst and Porcupine barren-ground caribou herds.
Coronavirus Disease (COVID-19) Dynamics
Recently we have demonstrated how the SyncroSim modeling framework can be used to generate locally relevant forecasts of COVID-19 infections and deaths.
Other Focus Areas
Population Dynamics
We help organizations predict the fate of both animal populations & disease, including COVID-19.
Animal Population Dynamics
We work with clients around the world to help them forecast the effects of harvest, climate change and industrial development on wildlife populations.
A key focus area of ours is supporting management decisions regarding wildlife harvest. Through ongoing collaborations over the past decade with several resource management agencies, including the Yukon Government, Government of Northwest Territories, Government of Alberta, Environment Canada, and the Government of Greenland, we have developed DG-Sim, an open-source model for forecasting wildlife population size and harvest. DG-Sim has been used to support harvest management decisions for several herds of barren-ground caribou, reindeer and muskoxen across Alaska, Canada, and Greenland.
Another area of expertise for us is the development of new approaches for forecasting the cumulative impacts of industrial development, climate change and harvest on caribou populations. The Caribou Cumulative Effects (CCE) model, a tool that has evolved through more than 25 years of work with experts from across the Canadian and Alaskan arctic, dynamically links sub-models of caribou movement, body condition, and population dynamics (i.e. DG-Sim) in order to project the combined population-level consequences of future changes in land use, caribou harvest and climate. Most recently we have used this model to forecast the cumulative impact of proposed developments within the ranges of both the Bathurst and Porcupine barren-ground caribou herds.
Coronavirus Disease (COVID-19) Dynamics
Recently we have demonstrated how the SyncroSim modeling framework can be used to generate locally relevant forecasts of COVID-19 infections and deaths.